[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-889dfe771060ca7f-pytest-fixtures-dry-up-test-setup-code-summary":3,"summaries-facets-categories":330,"summary-related-889dfe771060ca7f-pytest-fixtures-dry-up-test-setup-code-summary":7234},{"id":4,"title":5,"ai":6,"body":13,"categories":304,"created_at":306,"date_modified":306,"description":34,"extension":307,"faq":306,"featured":308,"kicker_label":306,"meta":309,"navigation":51,"path":314,"published_at":315,"question":306,"scraped_at":316,"seo":317,"sitemap":318,"source_id":319,"source_name":320,"source_type":321,"source_url":322,"stem":323,"tags":324,"thumbnail_url":306,"tldr":327,"tweet":306,"unknown_tags":328,"__hash__":329},"summaries\u002Fsummaries\u002F889dfe771060ca7f-pytest-fixtures-dry-up-test-setup-code-summary.md","Pytest Fixtures: DRY Up Test Setup Code",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",3838,1329,15926,0.0014096,{"type":14,"value":15,"toc":299},"minimark",[16,21,25,28,94,113,116,120,123,162,165,172,192,195,218,222,229,289,295],[17,18,20],"h2",{"id":19},"centralize-setup-to-eliminate-repetition","Centralize Setup to Eliminate Repetition",[22,23,24],"p",{},"Repeated setup code—like creating test data or DB connections across tests—leads to maintenance nightmares and fragility. Pytest fixtures solve this by defining reusable setup once, injected automatically into tests via function arguments.",[22,26,27],{},"Start with a basic fixture for shared data:",[29,30,35],"pre",{"className":31,"code":32,"language":33,"meta":34,"style":34},"language-python shiki shiki-themes github-light github-dark","def test_addition():    result = add(2, 3)    assert result == 5\n\n@pytest.fixture\ndef sample_data():\n    return [1, 2, 3, 4]\n\ndef test_sum(sample_data):\n    result = sum(sample_data)\n    assert result == 10\n","python","",[36,37,38,46,53,59,65,71,76,82,88],"code",{"__ignoreMap":34},[39,40,43],"span",{"class":41,"line":42},"line",1,[39,44,45],{},"def test_addition():    result = add(2, 3)    assert result == 5\n",[39,47,49],{"class":41,"line":48},2,[39,50,52],{"emptyLinePlaceholder":51},true,"\n",[39,54,56],{"class":41,"line":55},3,[39,57,58],{},"@pytest.fixture\n",[39,60,62],{"class":41,"line":61},4,[39,63,64],{},"def sample_data():\n",[39,66,68],{"class":41,"line":67},5,[39,69,70],{},"    return [1, 2, 3, 4]\n",[39,72,74],{"class":41,"line":73},6,[39,75,52],{"emptyLinePlaceholder":51},[39,77,79],{"class":41,"line":78},7,[39,80,81],{},"def test_sum(sample_data):\n",[39,83,85],{"class":41,"line":84},8,[39,86,87],{},"    result = sum(sample_data)\n",[39,89,91],{"class":41,"line":90},9,[39,92,93],{},"    assert result == 10\n",[22,95,96,97,100,101,104,105,108,109,112],{},"Here, ",[36,98,99],{},"sample_data"," runs once per test, avoiding copy-paste. Fixtures support dependency chaining: a ",[36,102,103],{},"db_connection"," fixture can depend on ",[36,106,107],{},"test_user"," to build layered setups like ",[36,110,111],{},"def db_connection(test_user): return connect_db(test_user)",".",[22,114,115],{},"This keeps tests focused on assertions, cutting boilerplate by 50-80% in growing suites.",[17,117,119],{"id":118},"scale-with-parameters-autouse-and-scopes","Scale with Parameters, Autouse, and Scopes",[22,121,122],{},"Parametrize fixtures for data-driven tests without exploding function counts:",[29,124,126],{"className":31,"code":125,"language":33,"meta":34,"style":34},"@pytest.fixture(params=[(2,3,5), (0,0,0), (-1,1,0)])\ndef add_inputs(request):\n    return request.param\n\ndef test_addition(add_inputs):\n    a, b, expected = add_inputs\n    assert add(a, b) == expected\n",[36,127,128,133,138,143,147,152,157],{"__ignoreMap":34},[39,129,130],{"class":41,"line":42},[39,131,132],{},"@pytest.fixture(params=[(2,3,5), (0,0,0), (-1,1,0)])\n",[39,134,135],{"class":41,"line":48},[39,136,137],{},"def add_inputs(request):\n",[39,139,140],{"class":41,"line":55},[39,141,142],{},"    return request.param\n",[39,144,145],{"class":41,"line":61},[39,146,52],{"emptyLinePlaceholder":51},[39,148,149],{"class":41,"line":67},[39,150,151],{},"def test_addition(add_inputs):\n",[39,153,154],{"class":41,"line":73},[39,155,156],{},"    a, b, expected = add_inputs\n",[39,158,159],{"class":41,"line":78},[39,160,161],{},"    assert add(a, b) == expected\n",[22,163,164],{},"Runs the test three times with different inputs, covering edge cases efficiently.",[22,166,167,168,171],{},"Use ",[36,169,170],{},"autouse=True"," for global setup like patching or mocks:",[29,173,175],{"className":31,"code":174,"language":33,"meta":34,"style":34},"@pytest.fixture(autouse=True)\ndef mock_time(monkeypatch):\n    monkeypatch.setattr('time.time', lambda: 1234567890)\n",[36,176,177,182,187],{"__ignoreMap":34},[39,178,179],{"class":41,"line":42},[39,180,181],{},"@pytest.fixture(autouse=True)\n",[39,183,184],{"class":41,"line":48},[39,185,186],{},"def mock_time(monkeypatch):\n",[39,188,189],{"class":41,"line":55},[39,190,191],{},"    monkeypatch.setattr('time.time', lambda: 1234567890)\n",[22,193,194],{},"Applies to all tests in the scope without explicit requests.",[22,196,197,198,201,202,205,206,209,210,213,214,217],{},"Control reuse with ",[36,199,200],{},"scope",": ",[36,203,204],{},"function"," (default, per test), ",[36,207,208],{},"class"," (per class), ",[36,211,212],{},"module"," (per file, ideal for DB init), ",[36,215,216],{},"session"," (once per run, for expensive resources). Module scope on a DB fixture shares one connection across 20+ tests, reducing overhead from 2s to 0.2s per run.",[17,219,221],{"id":220},"handle-teardown-with-yield-for-reliable-cleanup","Handle Teardown with Yield for Reliable Cleanup",[22,223,224,225,228],{},"Fixtures with ",[36,226,227],{},"yield"," enable post-test cleanup:",[29,230,232],{"className":31,"code":231,"language":33,"meta":34,"style":34},"@pytest.fixture\ndef temp_file(tmp_path):\n    path = tmp_path \u002F 'test.txt'\n    path.write_text('initial content')\n    yield str(path)\n    path.unlink()\n\ndef test_file_write(temp_file):\n    with open(temp_file, 'a') as f:\n        f.write('appended')\n    # File auto-deleted after\n",[36,233,234,238,243,248,253,258,263,267,272,277,283],{"__ignoreMap":34},[39,235,236],{"class":41,"line":42},[39,237,58],{},[39,239,240],{"class":41,"line":48},[39,241,242],{},"def temp_file(tmp_path):\n",[39,244,245],{"class":41,"line":55},[39,246,247],{},"    path = tmp_path \u002F 'test.txt'\n",[39,249,250],{"class":41,"line":61},[39,251,252],{},"    path.write_text('initial content')\n",[39,254,255],{"class":41,"line":67},[39,256,257],{},"    yield str(path)\n",[39,259,260],{"class":41,"line":73},[39,261,262],{},"    path.unlink()\n",[39,264,265],{"class":41,"line":78},[39,266,52],{"emptyLinePlaceholder":51},[39,268,269],{"class":41,"line":84},[39,270,271],{},"def test_file_write(temp_file):\n",[39,273,274],{"class":41,"line":90},[39,275,276],{},"    with open(temp_file, 'a') as f:\n",[39,278,280],{"class":41,"line":279},10,[39,281,282],{},"        f.write('appended')\n",[39,284,286],{"class":41,"line":285},11,[39,287,288],{},"    # File auto-deleted after\n",[22,290,291,292,294],{},"Code before ",[36,293,227],{}," sets up; after runs teardown. Perfect for temp files, DB rollbacks, or API mocks—ensures isolation even on failures, preventing leaks in CI runs.",[296,297,298],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":34,"searchDepth":48,"depth":48,"links":300},[301,302,303],{"id":19,"depth":48,"text":20},{"id":118,"depth":48,"text":119},{"id":220,"depth":48,"text":221},[305],"Software Engineering",null,"md",false,{"content_references":310,"triage":311},[],{"relevance":61,"novelty":55,"quality":61,"actionability":61,"composite":312,"reasoning":313},3.8,"Category: Software Engineering. The article provides a practical guide on using Pytest fixtures to improve test setup efficiency, addressing a common pain point for developers in maintaining test code. It includes specific examples and techniques that can be directly applied to enhance developer productivity.","\u002Fsummaries\u002F889dfe771060ca7f-pytest-fixtures-dry-up-test-setup-code-summary","2026-05-10 15:09:42","2026-05-11 15:04:10",{"title":5,"description":34},{"loc":314},"889dfe771060ca7f","Python in Plain English","article","https:\u002F\u002Fpython.plainenglish.io\u002Fstop-repeating-yourself-in-tests-a-clear-guide-to-fixtures-in-python-b480a053e93b?source=rss----78073def27b8---4","summaries\u002F889dfe771060ca7f-pytest-fixtures-dry-up-test-setup-code-summary",[33,325,326],"software-engineering","dev-productivity","Pytest fixtures eliminate repeated setup\u002Fteardown in tests by centralizing data prep, DB connections, and cleanup—use params for variations, scopes for reuse, and yield for teardown to scale suites without fragility.",[325,326],"KugMtttxqXRvgbLE7irAeHQkMueSv9XMdEf62-5NhuI",[331,334,337,339,342,344,347,350,352,354,356,358,360,362,364,366,368,371,373,375,377,379,382,385,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,434,436,438,440,442,444,446,448,450,452,454,456,458,460,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,504,506,508,510,512,514,516,518,520,522,524,526,528,530,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,598,600,602,604,606,608,610,612,614,616,618,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,654,656,658,660,662,664,666,668,670,672,674,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,736,738,740,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,782,784,786,788,790,792,794,796,798,800,802,804,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1094,1096,1098,1100,1102,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232],{"categories":332},[333],"AI & LLMs",{"categories":335},[336],"Developer Productivity",{"categories":338},[333],{"categories":340},[341],"Business & SaaS",{"categories":343},[333],{"categories":345},[346],"AI Automation",{"categories":348},[349],"Product Strategy",{"categories":351},[346],{"categories":353},[333],{"categories":355},[336],{"categories":357},[346],{"categories":359},[305],{"categories":361},[333],{"categories":363},[341],{"categories":365},[],{"categories":367},[333],{"categories":369},[370],"Inference & Serving",{"categories":372},[333],{"categories":374},[333],{"categories":376},[346],{"categories":378},[],{"categories":380},[381],"AI News & Trends",{"categories":383},[384],"Data Science & Visualization",{"categories":386},[346],{"categories":388},[333],{"categories":390},[333],{"categories":392},[341],{"categories":394},[336],{"categories":396},[333],{"categories":398},[346],{"categories":400},[381],{"categories":402},[333],{"categories":404},[346],{"categories":406},[346],{"categories":408},[333],{"categories":410},[333],{"categories":412},[346],{"categories":414},[333],{"categories":416},[333],{"categories":418},[333],{"categories":420},[346],{"categories":422},[381],{"categories":424},[333],{"categories":426},[333],{"categories":428},[333],{"categories":430},[],{"categories":432},[433],"Design & Frontend",{"categories":435},[384],{"categories":437},[381],{"categories":439},[333],{"categories":441},[333],{"categories":443},[333],{"categories":445},[],{"categories":447},[333],{"categories":449},[333],{"categories":451},[346],{"categories":453},[305],{"categories":455},[333],{"categories":457},[346],{"categories":459},[333],{"categories":461},[462],"Marketing & Growth",{"categories":464},[433],{"categories":466},[333],{"categories":468},[346],{"categories":470},[333],{"categories":472},[333],{"categories":474},[305],{"categories":476},[333],{"categories":478},[],{"categories":480},[],{"categories":482},[433],{"categories":484},[333],{"categories":486},[346],{"categories":488},[336],{"categories":490},[305],{"categories":492},[346],{"categories":494},[433],{"categories":496},[349],{"categories":498},[333],{"categories":500},[305],{"categories":502},[503],"DevOps & Cloud",{"categories":505},[346],{"categories":507},[349],{"categories":509},[381],{"categories":511},[333],{"categories":513},[],{"categories":515},[333],{"categories":517},[333],{"categories":519},[],{"categories":521},[346],{"categories":523},[305],{"categories":525},[],{"categories":527},[305],{"categories":529},[333],{"categories":531},[532],"Governance & Standards",{"categories":534},[341],{"categories":536},[],{"categories":538},[],{"categories":540},[333],{"categories":542},[333],{"categories":544},[346],{"categories":546},[333],{"categories":548},[333],{"categories":550},[346],{"categories":552},[333],{"categories":554},[333],{"categories":556},[333],{"categories":558},[],{"categories":560},[305],{"categories":562},[],{"categories":564},[],{"categories":566},[333],{"categories":568},[305],{"categories":570},[],{"categories":572},[305],{"categories":574},[333],{"categories":576},[333],{"categories":578},[462],{"categories":580},[333],{"categories":582},[333],{"categories":584},[333],{"categories":586},[433],{"categories":588},[433],{"categories":590},[333],{"categories":592},[305],{"categories":594},[346],{"categories":596},[597],"GovTech & Public-Sector Adoption",{"categories":599},[305],{"categories":601},[333],{"categories":603},[333],{"categories":605},[333],{"categories":607},[346],{"categories":609},[346],{"categories":611},[384],{"categories":613},[333],{"categories":615},[381],{"categories":617},[346],{"categories":619},[620],"Legal AI Tools",{"categories":622},[333],{"categories":624},[346],{"categories":626},[333],{"categories":628},[462],{"categories":630},[346],{"categories":632},[349],{"categories":634},[333],{"categories":636},[305],{"categories":638},[597],{"categories":640},[],{"categories":642},[346],{"categories":644},[],{"categories":646},[341],{"categories":648},[346],{"categories":650},[346],{"categories":652},[653],"RAG & Retrieval",{"categories":655},[341],{"categories":657},[333],{"categories":659},[305],{"categories":661},[305],{"categories":663},[503],{"categories":665},[433],{"categories":667},[346],{"categories":669},[333],{"categories":671},[333],{"categories":673},[],{"categories":675},[676],"Agents & Orchestration",{"categories":678},[305],{"categories":680},[333],{"categories":682},[],{"categories":684},[346],{"categories":686},[341],{"categories":688},[],{"categories":690},[333],{"categories":692},[],{"categories":694},[333],{"categories":696},[336],{"categories":698},[305],{"categories":700},[341],{"categories":702},[333],{"categories":704},[346],{"categories":706},[333],{"categories":708},[381],{"categories":710},[333],{"categories":712},[],{"categories":714},[333],{"categories":716},[],{"categories":718},[333],{"categories":720},[305],{"categories":722},[333],{"categories":724},[346],{"categories":726},[384],{"categories":728},[],{"categories":730},[333],{"categories":732},[433],{"categories":734},[735],"Models & Frontier Labs",{"categories":737},[],{"categories":739},[433],{"categories":741},[742],"Regulation & Governance of AI",{"categories":744},[349],{"categories":746},[346],{"categories":748},[],{"categories":750},[333],{"categories":752},[333],{"categories":754},[346],{"categories":756},[346],{"categories":758},[381],{"categories":760},[333],{"categories":762},[341],{"categories":764},[333],{"categories":766},[346],{"categories":768},[],{"categories":770},[305],{"categories":772},[346],{"categories":774},[333],{"categories":776},[349],{"categories":778},[333],{"categories":780},[781],"AI Policy & Regulation",{"categories":783},[],{"categories":785},[333],{"categories":787},[346],{"categories":789},[349],{"categories":791},[346],{"categories":793},[333],{"categories":795},[333],{"categories":797},[333],{"categories":799},[346],{"categories":801},[],{"categories":803},[384],{"categories":805},[806],"Evals & Reliability",{"categories":808},[333],{"categories":810},[333],{"categories":812},[],{"categories":814},[336],{"categories":816},[597],{"categories":818},[781],{"categories":820},[333],{"categories":822},[341],{"categories":824},[333],{"categories":826},[346],{"categories":828},[333],{"categories":830},[346],{"categories":832},[676],{"categories":834},[333],{"categories":836},[305],{"categories":838},[333],{"categories":840},[],{"categories":842},[433],{"categories":844},[],{"categories":846},[333],{"categories":848},[597],{"categories":850},[333],{"categories":852},[333],{"categories":854},[333],{"categories":856},[],{"categories":858},[333],{"categories":860},[433],{"categories":862},[305],{"categories":864},[],{"categories":866},[333],{"categories":868},[],{"categories":870},[346],{"categories":872},[333],{"categories":874},[433],{"categories":876},[],{"categories":878},[333],{"categories":880},[333],{"categories":882},[384],{"categories":884},[346],{"categories":886},[333],{"categories":888},[341],{"categories":890},[346],{"categories":892},[333],{"categories":894},[333],{"categories":896},[305],{"categories":898},[433],{"categories":900},[333],{"categories":902},[346],{"categories":904},[],{"categories":906},[305],{"categories":908},[346],{"categories":910},[384],{"categories":912},[],{"categories":914},[333],{"categories":916},[381],{"categories":918},[333],{"categories":920},[],{"categories":922},[333],{"categories":924},[333],{"categories":926},[333],{"categories":928},[341,462],{"categories":930},[],{"categories":932},[305],{"categories":934},[333],{"categories":936},[333],{"categories":938},[346],{"categories":940},[333],{"categories":942},[],{"categories":944},[],{"categories":946},[333],{"categories":948},[433],{"categories":950},[333],{"categories":952},[],{"categories":954},[333],{"categories":956},[503],{"categories":958},[],{"categories":960},[346],{"categories":962},[381],{"categories":964},[333],{"categories":966},[333],{"categories":968},[433],{"categories":970},[],{"categories":972},[381],{"categories":974},[333],{"categories":976},[370],{"categories":978},[333],{"categories":980},[333],{"categories":982},[346],{"categories":984},[381],{"categories":986},[735],{"categories":988},[333],{"categories":990},[462],{"categories":992},[],{"categories":994},[346],{"categories":996},[341],{"categories":998},[305],{"categories":1000},[333],{"categories":1002},[346],{"categories":1004},[],{"categories":1006},[333,503],{"categories":1008},[333],{"categories":1010},[333],{"categories":1012},[333],{"categories":1014},[346],{"categories":1016},[333,305],{"categories":1018},[384],{"categories":1020},[333],{"categories":1022},[333],{"categories":1024},[333],{"categories":1026},[305],{"categories":1028},[333],{"categories":1030},[346],{"categories":1032},[346],{"categories":1034},[781],{"categories":1036},[462],{"categories":1038},[333],{"categories":1040},[346],{"categories":1042},[333],{"categories":1044},[333],{"categories":1046},[346],{"categories":1048},[],{"categories":1050},[346],{"categories":1052},[333],{"categories":1054},[333],{"categories":1056},[346],{"categories":1058},[333],{"categories":1060},[333,341],{"categories":1062},[333],{"categories":1064},[341],{"categories":1066},[],{"categories":1068},[433],{"categories":1070},[433],{"categories":1072},[333],{"categories":1074},[],{"categories":1076},[],{"categories":1078},[333],{"categories":1080},[381],{"categories":1082},[],{"categories":1084},[336],{"categories":1086},[333],{"categories":1088},[305],{"categories":1090},[333],{"categories":1092},[1093],"Generative UI & Design-to-Code",{"categories":1095},[333],{"categories":1097},[333],{"categories":1099},[433],{"categories":1101},[333],{"categories":1103},[1104],"Algorithmic Accountability",{"categories":1106},[346],{"categories":1108},[305],{"categories":1110},[381],{"categories":1112},[433],{"categories":1114},[333],{"categories":1116},[],{"categories":1118},[349],{"categories":1120},[333],{"categories":1122},[333],{"categories":1124},[333],{"categories":1126},[333],{"categories":1128},[346],{"categories":1130},[1131],"MLOps & Infrastructure",{"categories":1133},[333],{"categories":1135},[333],{"categories":1137},[333],{"categories":1139},[333],{"categories":1141},[333],{"categories":1143},[305],{"categories":1145},[381],{"categories":1147},[333],{"categories":1149},[349],{"categories":1151},[336],{"categories":1153},[333],{"categories":1155},[346],{"categories":1157},[503],{"categories":1159},[333],{"categories":1161},[341],{"categories":1163},[333],{"categories":1165},[433],{"categories":1167},[333],{"categories":1169},[333],{"categories":1171},[346],{"categories":1173},[],{"categories":1175},[],{"categories":1177},[333],{"categories":1179},[370],{"categories":1181},[433],{"categories":1183},[381],{"categories":1185},[384],{"categories":1187},[],{"categories":1189},[333],{"categories":1191},[333],{"categories":1193},[341],{"categories":1195},[346],{"categories":1197},[333],{"categories":1199},[333],{"categories":1201},[333],{"categories":1203},[333],{"categories":1205},[381],{"categories":1207},[370],{"categories":1209},[333],{"categories":1211},[433],{"categories":1213},[333],{"categories":1215},[],{"categories":1217},[346],{"categories":1219},[305],{"categories":1221},[],{"categories":1223},[333],{"categories":1225},[333],{"categories":1227},[346],{"categories":1229},[305],{"categories":1231},[333],{"categories":1233},[384],{"categories":1235},[433],{"categories":1237},[],{"categories":1239},[333],{"categories":1241},[],{"categories":1243},[333],{"categories":1245},[],{"categories":1247},[333],{"categories":1249},[333],{"categories":1251},[349],{"categories":1253},[341],{"categories":1255},[346],{"categories":1257},[346],{"categories":1259},[],{"categories":1261},[333],{"categories":1263},[336],{"categories":1265},[333],{"categories":1267},[333],{"categories":1269},[341],{"categories":1271},[381],{"categories":1273},[336],{"categories":1275},[],{"categories":1277},[333],{"categories":1279},[],{"categories":1281},[333],{"categories":1283},[],{"categories":1285},[381],{"categories":1287},[381],{"categories":1289},[],{"categories":1291},[676],{"categories":1293},[333],{"categories":1295},[433],{"categories":1297},[305],{"categories":1299},[],{"categories":1301},[620],{"categories":1303},[346],{"categories":1305},[341],{"categories":1307},[],{"categories":1309},[],{"categories":1311},[336],{"categories":1313},[384],{"categories":1315},[],{"categories":1317},[462],{"categories":1319},[346],{"categories":1321},[341],{"categories":1323},[346],{"categories":1325},[333],{"categories":1327},[341],{"categories":1329},[333],{"categories":1331},[305],{"categories":1333},[],{"categories":1335},[370],{"categories":1337},[349],{"categories":1339},[333],{"categories":1341},[433],{"categories":1343},[305],{"categories":1345},[341],{"categories":1347},[333],{"categories":1349},[305],{"categories":1351},[333],{"categories":1353},[346],{"categories":1355},[341],{"categories":1357},[333],{"categories":1359},[333],{"categories":1361},[333],{"categories":1363},[333],{"categories":1365},[333],{"categories":1367},[],{"categories":1369},[],{"categories":1371},[305],{"categories":1373},[384],{"categories":1375},[349],{"categories":1377},[333],{"categories":1379},[346],{"categories":1381},[305],{"categories":1383},[305],{"categories":1385},[333],{"categories":1387},[],{"categories":1389},[381],{"categories":1391},[349],{"categories":1393},[349],{"categories":1395},[305],{"categories":1397},[333],{"categories":1399},[806],{"categories":1401},[503],{"categories":1403},[],{"categories":1405},[346],{"categories":1407},[333],{"categories":1409},[],{"categories":1411},[336],{"categories":1413},[],{"categories":1415},[333],{"categories":1417},[333],{"categories":1419},[333],{"categories":1421},[433],{"categories":1423},[462],{"categories":1425},[333],{"categories":1427},[305],{"categories":1429},[333],{"categories":1431},[346],{"categories":1433},[],{"categories":1435},[305],{"categories":1437},[333],{"categories":1439},[336],{"categories":1441},[],{"categories":1443},[341],{"categories":1445},[333],{"categories":1447},[333],{"categories":1449},[381],{"categories":1451},[333,503],{"categories":1453},[333],{"categories":1455},[1456],"Design Systems for AI",{"categories":1458},[333],{"categories":1460},[333],{"categories":1462},[381],{"categories":1464},[333],{"categories":1466},[333],{"categories":1468},[333],{"categories":1470},[341],{"categories":1472},[333],{"categories":1474},[333],{"categories":1476},[333],{"categories":1478},[],{"categories":1480},[333],{"categories":1482},[333],{"categories":1484},[341],{"categories":1486},[333],{"categories":1488},[],{"categories":1490},[346],{"categories":1492},[346],{"categories":1494},[305],{"categories":1496},[381],{"categories":1498},[305],{"categories":1500},[333],{"categories":1502},[433],{"categories":1504},[381],{"categories":1506},[384],{"categories":1508},[333],{"categories":1510},[333],{"categories":1512},[346],{"categories":1514},[336],{"categories":1516},[781],{"categories":1518},[333],{"categories":1520},[346],{"categories":1522},[333],{"categories":1524},[305],{"categories":1526},[305],{"categories":1528},[],{"categories":1530},[],{"categories":1532},[333],{"categories":1534},[346],{"categories":1536},[349],{"categories":1538},[],{"categories":1540},[341],{"categories":1542},[333],{"categories":1544},[],{"categories":1546},[433],{"categories":1548},[305],{"categories":1550},[346],{"categories":1552},[305],{"categories":1554},[433],{"categories":1556},[333],{"categories":1558},[333],{"categories":1560},[433],{"categories":1562},[],{"categories":1564},[],{"categories":1566},[381],{"categories":1568},[346],{"categories":1570},[346],{"categories":1572},[333],{"categories":1574},[333],{"categories":1576},[333],{"categories":1578},[333],{"categories":1580},[341],{"categories":1582},[333],{"categories":1584},[333],{"categories":1586},[],{"categories":1588},[305],{"categories":1590},[305],{"categories":1592},[333],{"categories":1594},[305],{"categories":1596},[341],{"categories":1598},[],{"categories":1600},[333],{"categories":1602},[333],{"categories":1604},[333],{"categories":1606},[333],{"categories":1608},[333],{"categories":1610},[346],{"categories":1612},[336],{"categories":1614},[341],{"categories":1616},[333],{"categories":1618},[346],{"categories":1620},[381],{"categories":1622},[346],{"categories":1624},[370],{"categories":1626},[462],{"categories":1628},[333],{"categories":1630},[346],{"categories":1632},[333],{"categories":1634},[333],{"categories":1636},[333],{"categories":1638},[],{"categories":1640},[433],{"categories":1642},[],{"categories":1644},[333],{"categories":1646},[333],{"categories":1648},[],{"categories":1650},[333],{"categories":1652},[305],{"categories":1654},[341],{"categories":1656},[1657],"Visual & Generative Media",{"categories":1659},[346],{"categories":1661},[],{"categories":1663},[333],{"categories":1665},[333],{"categories":1667},[305],{"categories":1669},[503],{"categories":1671},[333],{"categories":1673},[384],{"categories":1675},[781],{"categories":1677},[305],{"categories":1679},[462],{"categories":1681},[333],{"categories":1683},[433],{"categories":1685},[333],{"categories":1687},[333],{"categories":1689},[305],{"categories":1691},[346],{"categories":1693},[333],{"categories":1695},[],{"categories":1697},[],{"categories":1699},[346],{"categories":1701},[305],{"categories":1703},[336],{"categories":1705},[346],{"categories":1707},[735],{"categories":1709},[333],{"categories":1711},[349],{"categories":1713},[333],{"categories":1715},[341],{"categories":1717},[],{"categories":1719},[333],{"categories":1721},[349],{"categories":1723},[333],{"categories":1725},[333],{"categories":1727},[333],{"categories":1729},[349],{"categories":1731},[333],{"categories":1733},[333],{"categories":1735},[462],{"categories":1737},[333],{"categories":1739},[676],{"categories":1741},[333],{"categories":1743},[346],{"categories":1745},[333],{"categories":1747},[333],{"categories":1749},[333],{"categories":1751},[333],{"categories":1753},[433],{"categories":1755},[346],{"categories":1757},[],{"categories":1759},[346],{"categories":1761},[],{"categories":1763},[503],{"categories":1765},[305],{"categories":1767},[],{"categories":1769},[735],{"categories":1771},[333],{"categories":1773},[346],{"categories":1775},[346],{"categories":1777},[333],{"categories":1779},[433,333],{"categories":1781},[336],{"categories":1783},[333],{"categories":1785},[433],{"categories":1787},[],{"categories":1789},[333],{"categories":1791},[336],{"categories":1793},[333],{"categories":1795},[1796],"Medical Imaging & Radiology",{"categories":1798},[333],{"categories":1800},[333],{"categories":1802},[333],{"categories":1804},[433],{"categories":1806},[346],{"categories":1808},[305],{"categories":1810},[],{"categories":1812},[333],{"categories":1814},[333],{"categories":1816},[333],{"categories":1818},[],{"categories":1820},[],{"categories":1822},[333],{"categories":1824},[333],{"categories":1826},[676],{"categories":1828},[333],{"categories":1830},[336],{"categories":1832},[333],{"categories":1834},[333],{"categories":1836},[],{"categories":1838},[346],{"categories":1840},[333],{"categories":1842},[349],{"categories":1844},[305],{"categories":1846},[333],{"categories":1848},[346],{"categories":1850},[676],{"categories":1852},[333],{"categories":1854},[346],{"categories":1856},[333],{"categories":1858},[333],{"categories":1860},[333],{"categories":1862},[433],{"categories":1864},[346],{"categories":1866},[503],{"categories":1868},[433],{"categories":1870},[341],{"categories":1872},[346],{"categories":1874},[381],{"categories":1876},[333],{"categories":1878},[333],{"categories":1880},[349],{"categories":1882},[333],{"categories":1884},[333],{"categories":1886},[333],{"categories":1888},[333],{"categories":1890},[346],{"categories":1892},[333],{"categories":1894},[305],{"categories":1896},[305],{"categories":1898},[333],{"categories":1900},[349],{"categories":1902},[],{"categories":1904},[381],{"categories":1906},[],{"categories":1908},[349],{"categories":1910},[346],{"categories":1912},[333],{"categories":1914},[346],{"categories":1916},[1456],{"categories":1918},[1456],{"categories":1920},[433],{"categories":1922},[333],{"categories":1924},[333],{"categories":1926},[333],{"categories":1928},[346],{"categories":1930},[305],{"categories":1932},[433],{"categories":1934},[346],{"categories":1936},[381],{"categories":1938},[],{"categories":1940},[333],{"categories":1942},[],{"categories":1944},[333],{"categories":1946},[333],{"categories":1948},[333],{"categories":1950},[333],{"categories":1952},[346],{"categories":1954},[1955],"Contract Review & E-Discovery",{"categories":1957},[333],{"categories":1959},[433],{"categories":1961},[333],{"categories":1963},[336],{"categories":1965},[333],{"categories":1967},[381],{"categories":1969},[333],{"categories":1971},[333],{"categories":1973},[462],{"categories":1975},[305],{"categories":1977},[333],{"categories":1979},[333],{"categories":1981},[346],{"categories":1983},[346],{"categories":1985},[1104],{"categories":1987},[333],{"categories":1989},[333],{"categories":1991},[346],{"categories":1993},[346],{"categories":1995},[333],{"categories":1997},[333],{"categories":1999},[333],{"categories":2001},[346],{"categories":2003},[333],{"categories":2005},[333],{"categories":2007},[676],{"categories":2009},[653],{"categories":2011},[333],{"categories":2013},[346],{"categories":2015},[333],{"categories":2017},[2018],"Law-Firm Practice & Adoption",{"categories":2020},[333],{"categories":2022},[346],{"categories":2024},[433],{"categories":2026},[333],{"categories":2028},[333],{"categories":2030},[333],{"categories":2032},[],{"categories":2034},[],{"categories":2036},[305],{"categories":2038},[333],{"categories":2040},[],{"categories":2042},[346],{"categories":2044},[336],{"categories":2046},[503],{"categories":2048},[333],{"categories":2050},[],{"categories":2052},[336],{"categories":2054},[341],{"categories":2056},[333],{"categories":2058},[462],{"categories":2060},[],{"categories":2062},[341],{"categories":2064},[346],{"categories":2066},[341],{"categories":2068},[],{"categories":2070},[333],{"categories":2072},[349],{"categories":2074},[333],{"categories":2076},[305],{"categories":2078},[],{"categories":2080},[],{"categories":2082},[],{"categories":2084},[],{"categories":2086},[333],{"categories":2088},[349],{"categories":2090},[346],{"categories":2092},[503],{"categories":2094},[333],{"categories":2096},[336],{"categories":2098},[305],{"categories":2100},[333],{"categories":2102},[333],{"categories":2104},[305],{"categories":2106},[349],{"categories":2108},[333],{"categories":2110},[333],{"categories":2112},[333],{"categories":2114},[1131],{"categories":2116},[333],{"categories":2118},[305],{"categories":2120},[333],{"categories":2122},[462],{"categories":2124},[305],{"categories":2126},[341],{"categories":2128},[333],{"categories":2130},[333],{"categories":2132},[333],{"categories":2134},[433],{"categories":2136},[333],{"categories":2138},[333],{"categories":2140},[333],{"categories":2142},[333],{"categories":2144},[341],{"categories":2146},[346],{"categories":2148},[333,336],{"categories":2150},[676],{"categories":2152},[333],{"categories":2154},[333],{"categories":2156},[305],{"categories":2158},[305],{"categories":2160},[433],{"categories":2162},[346],{"categories":2164},[346],{"categories":2166},[305],{"categories":2168},[333],{"categories":2170},[333],{"categories":2172},[333],{"categories":2174},[],{"categories":2176},[],{"categories":2178},[333],{"categories":2180},[384],{"categories":2182},[333],{"categories":2184},[346],{"categories":2186},[],{"categories":2188},[333],{"categories":2190},[333],{"categories":2192},[305],{"categories":2194},[384],{"categories":2196},[381],{"categories":2198},[433],{"categories":2200},[333],{"categories":2202},[346],{"categories":2204},[333],{"categories":2206},[305],{"categories":2208},[],{"categories":2210},[346],{"categories":2212},[333],{"categories":2214},[333],{"categories":2216},[333],{"categories":2218},[333],{"categories":2220},[],{"categories":2222},[346],{"categories":2224},[333],{"categories":2226},[333],{"categories":2228},[333],{"categories":2230},[],{"categories":2232},[346],{"categories":2234},[333],{"categories":2236},[333],{"categories":2238},[341],{"categories":2240},[333],{"categories":2242},[333],{"categories":2244},[],{"categories":2246},[336],{"categories":2248},[333],{"categories":2250},[333],{"categories":2252},[333],{"categories":2254},[433],{"categories":2256},[333],{"categories":2258},[305],{"categories":2260},[333],{"categories":2262},[336],{"categories":2264},[333],{"categories":2266},[305],{"categories":2268},[462],{"categories":2270},[346],{"categories":2272},[346],{"categories":2274},[333],{"categories":2276},[333],{"categories":2278},[333,433],{"categories":2280},[333],{"categories":2282},[346],{"categories":2284},[381],{"categories":2286},[333],{"categories":2288},[381],{"categories":2290},[346],{"categories":2292},[433],{"categories":2294},[333],{"categories":2296},[],{"categories":2298},[305],{"categories":2300},[503],{"categories":2302},[433],{"categories":2304},[305],{"categories":2306},[333],{"categories":2308},[349],{"categories":2310},[333],{"categories":2312},[333],{"categories":2314},[346],{"categories":2316},[],{"categories":2318},[],{"categories":2320},[333],{"categories":2322},[],{"categories":2324},[],{"categories":2326},[349],{"categories":2328},[305],{"categories":2330},[333],{"categories":2332},[346],{"categories":2334},[346],{"categories":2336},[341],{"categories":2338},[346],{"categories":2340},[503],{"categories":2342},[333],{"categories":2344},[333],{"categories":2346},[333],{"categories":2348},[370],{"categories":2350},[333],{"categories":2352},[333],{"categories":2354},[333],{"categories":2356},[305],{"categories":2358},[346],{"categories":2360},[333],{"categories":2362},[333],{"categories":2364},[305],{"categories":2366},[620],{"categories":2368},[346],{"categories":2370},[1104],{"categories":2372},[],{"categories":2374},[433],{"categories":2376},[2018],{"categories":2378},[305],{"categories":2380},[],{"categories":2382},[],{"categories":2384},[333],{"categories":2386},[346],{"categories":2388},[],{"categories":2390},[],{"categories":2392},[333],{"categories":2394},[462],{"categories":2396},[333],{"categories":2398},[462],{"categories":2400},[346],{"categories":2402},[333],{"categories":2404},[333],{"categories":2406},[305],{"categories":2408},[349],{"categories":2410},[],{"categories":2412},[333],{"categories":2414},[333],{"categories":2416},[305],{"categories":2418},[1955],{"categories":2420},[433],{"categories":2422},[433],{"categories":2424},[333],{"categories":2426},[346],{"categories":2428},[336],{"categories":2430},[333],{"categories":2432},[333],{"categories":2434},[333],{"categories":2436},[333],{"categories":2438},[433],{"categories":2440},[433],{"categories":2442},[346],{"categories":2444},[346],{"categories":2446},[346],{"categories":2448},[333],{"categories":2450},[333],{"categories":2452},[],{"categories":2454},[333],{"categories":2456},[],{"categories":2458},[2459],"Interaction & Product Design",{"categories":2461},[333],{"categories":2463},[346],{"categories":2465},[305],{"categories":2467},[532],{"categories":2469},[381],{"categories":2471},[305],{"categories":2473},[333],{"categories":2475},[333],{"categories":2477},[333],{"categories":2479},[305],{"categories":2481},[333],{"categories":2483},[336],{"categories":2485},[346],{"categories":2487},[333],{"categories":2489},[],{"categories":2491},[346],{"categories":2493},[346],{"categories":2495},[346],{"categories":2497},[],{"categories":2499},[305],{"categories":2501},[333],{"categories":2503},[346],{"categories":2505},[336],{"categories":2507},[2459],{"categories":2509},[333],{"categories":2511},[336],{"categories":2513},[336],{"categories":2515},[],{"categories":2517},[346],{"categories":2519},[305],{"categories":2521},[],{"categories":2523},[346],{"categories":2525},[381],{"categories":2527},[333],{"categories":2529},[346],{"categories":2531},[333],{"categories":2533},[346],{"categories":2535},[346],{"categories":2537},[333],{"categories":2539},[333],{"categories":2541},[381],{"categories":2543},[384],{"categories":2545},[333],{"categories":2547},[349],{"categories":2549},[305],{"categories":2551},[2552],"Coding Agents & Dev Productivity",{"categories":2554},[381],{"categories":2556},[433],{"categories":2558},[333],{"categories":2560},[333],{"categories":2562},[],{"categories":2564},[333],{"categories":2566},[1104],{"categories":2568},[],{"categories":2570},[333],{"categories":2572},[333],{"categories":2574},[503],{"categories":2576},[333],{"categories":2578},[381],{"categories":2580},[],{"categories":2582},[],{"categories":2584},[333],{"categories":2586},[],{"categories":2588},[346],{"categories":2590},[333],{"categories":2592},[],{"categories":2594},[305],{"categories":2596},[305],{"categories":2598},[333],{"categories":2600},[384],{"categories":2602},[],{"categories":2604},[333],{"categories":2606},[333],{"categories":2608},[333],{"categories":2610},[384],{"categories":2612},[305],{"categories":2614},[346],{"categories":2616},[],{"categories":2618},[],{"categories":2620},[333],{"categories":2622},[333],{"categories":2624},[346],{"categories":2626},[346],{"categories":2628},[597],{"categories":2630},[305],{"categories":2632},[305],{"categories":2634},[346],{"categories":2636},[381],{"categories":2638},[381],{"categories":2640},[346],{"categories":2642},[346],{"categories":2644},[333],{"categories":2646},[336],{"categories":2648},[2459],{"categories":2650},[349],{"categories":2652},[333,503],{"categories":2654},[384],{"categories":2656},[],{"categories":2658},[433],{"categories":2660},[346],{"categories":2662},[305],{"categories":2664},[336],{"categories":2666},[333],{"categories":2668},[346],{"categories":2670},[2671],"The Designer's Role & Craft",{"categories":2673},[433],{"categories":2675},[],{"categories":2677},[346],{"categories":2679},[333],{"categories":2681},[346],{"categories":2683},[346],{"categories":2685},[333],{"categories":2687},[462],{"categories":2689},[333],{"categories":2691},[305],{"categories":2693},[333],{"categories":2695},[433],{"categories":2697},[333],{"categories":2699},[],{"categories":2701},[346],{"categories":2703},[433],{"categories":2705},[349],{"categories":2707},[333],{"categories":2709},[333],{"categories":2711},[333],{"categories":2713},[2714],"AI UX Patterns",{"categories":2716},[346],{"categories":2718},[346],{"categories":2720},[346],{"categories":2722},[346],{"categories":2724},[462],{"categories":2726},[384],{"categories":2728},[333],{"categories":2730},[346],{"categories":2732},[333],{"categories":2734},[1456],{"categories":2736},[],{"categories":2738},[462],{"categories":2740},[346],{"categories":2742},[381],{"categories":2744},[305],{"categories":2746},[333],{"categories":2748},[346],{"categories":2750},[],{"categories":2752},[],{"categories":2754},[333],{"categories":2756},[333],{"categories":2758},[346],{"categories":2760},[333],{"categories":2762},[346],{"categories":2764},[597],{"categories":2766},[433],{"categories":2768},[333],{"categories":2770},[381],{"categories":2772},[305],{"categories":2774},[333],{"categories":2776},[346],{"categories":2778},[346],{"categories":2780},[],{"categories":2782},[333],{"categories":2784},[],{"categories":2786},[333],{"categories":2788},[],{"categories":2790},[333],{"categories":2792},[333],{"categories":2794},[333],{"categories":2796},[346],{"categories":2798},[305],{"categories":2800},[],{"categories":2802},[],{"categories":2804},[384],{"categories":2806},[370],{"categories":2808},[333],{"categories":2810},[333],{"categories":2812},[333],{"categories":2814},[384],{"categories":2816},[333],{"categories":2818},[333],{"categories":2820},[381],{"categories":2822},[333],{"categories":2824},[333],{"categories":2826},[333],{"categories":2828},[346],{"categories":2830},[333],{"categories":2832},[346],{"categories":2834},[333],{"categories":2836},[333],{"categories":2838},[333],{"categories":2840},[346],{"categories":2842},[],{"categories":2844},[333],{"categories":2846},[],{"categories":2848},[333],{"categories":2850},[333],{"categories":2852},[503],{"categories":2854},[333],{"categories":2856},[],{"categories":2858},[],{"categories":2860},[433],{"categories":2862},[1131],{"categories":2864},[346],{"categories":2866},[336],{"categories":2868},[2671],{"categories":2870},[],{"categories":2872},[],{"categories":2874},[333],{"categories":2876},[],{"categories":2878},[],{"categories":2880},[305],{"categories":2882},[381],{"categories":2884},[462],{"categories":2886},[346],{"categories":2888},[341],{"categories":2890},[333],{"categories":2892},[333],{"categories":2894},[341],{"categories":2896},[],{"categories":2898},[433],{"categories":2900},[349],{"categories":2902},[333],{"categories":2904},[333],{"categories":2906},[346],{"categories":2908},[341],{"categories":2910},[333],{"categories":2912},[333],{"categories":2914},[336],{"categories":2916},[333],{"categories":2918},[333],{"categories":2920},[],{"categories":2922},[336],{"categories":2924},[333],{"categories":2926},[462],{"categories":2928},[346],{"categories":2930},[381],{"categories":2932},[333],{"categories":2934},[305],{"categories":2936},[333],{"categories":2938},[333],{"categories":2940},[341],{"categories":2942},[333],{"categories":2944},[333],{"categories":2946},[333],{"categories":2948},[346],{"categories":2950},[333],{"categories":2952},[],{"categories":2954},[333],{"categories":2956},[305],{"categories":2958},[336],{"categories":2960},[333],{"categories":2962},[333],{"categories":2964},[333],{"categories":2966},[],{"categories":2968},[333],{"categories":2970},[676],{"categories":2972},[346],{"categories":2974},[341],{"categories":2976},[381],{"categories":2978},[333],{"categories":2980},[333],{"categories":2982},[],{"categories":2984},[341],{"categories":2986},[341],{"categories":2988},[333],{"categories":2990},[333],{"categories":2992},[349],{"categories":2994},[333],{"categories":2996},[333],{"categories":2998},[333],{"categories":3000},[333],{"categories":3002},[305],{"categories":3004},[305],{"categories":3006},[333],{"categories":3008},[],{"categories":3010},[305],{"categories":3012},[333],{"categories":3014},[305],{"categories":3016},[346],{"categories":3018},[781],{"categories":3020},[],{"categories":3022},[],{"categories":3024},[333],{"categories":3026},[381],{"categories":3028},[],{"categories":3030},[503],{"categories":3032},[333],{"categories":3034},[333],{"categories":3036},[333],{"categories":3038},[433],{"categories":3040},[1093],{"categories":3042},[],{"categories":3044},[333],{"categories":3046},[333],{"categories":3048},[333],{"categories":3050},[305],{"categories":3052},[333],{"categories":3054},[333],{"categories":3056},[333,503],{"categories":3058},[333],{"categories":3060},[333],{"categories":3062},[433],{"categories":3064},[346],{"categories":3066},[],{"categories":3068},[346],{"categories":3070},[346],{"categories":3072},[333],{"categories":3074},[333],{"categories":3076},[333],{"categories":3078},[333],{"categories":3080},[384],{"categories":3082},[333],{"categories":3084},[2714],{"categories":3086},[336],{"categories":3088},[384],{"categories":3090},[336],{"categories":3092},[305],{"categories":3094},[433],{"categories":3096},[346],{"categories":3098},[333],{"categories":3100},[],{"categories":3102},[341],{"categories":3104},[333],{"categories":3106},[333],{"categories":3108},[381],{"categories":3110},[333],{"categories":3112},[333],{"categories":3114},[333],{"categories":3116},[346],{"categories":3118},[333],{"categories":3120},[333],{"categories":3122},[333],{"categories":3124},[341],{"categories":3126},[],{"categories":3128},[503],{"categories":3130},[333],{"categories":3132},[597],{"categories":3134},[433],{"categories":3136},[433],{"categories":3138},[305],{"categories":3140},[346],{"categories":3142},[333],{"categories":3144},[341],{"categories":3146},[381],{"categories":3148},[333],{"categories":3150},[333],{"categories":3152},[333],{"categories":3154},[433],{"categories":3156},[346],{"categories":3158},[346],{"categories":3160},[333],{"categories":3162},[333],{"categories":3164},[735],{"categories":3166},[346],{"categories":3168},[],{"categories":3170},[333],{"categories":3172},[333],{"categories":3174},[333],{"categories":3176},[],{"categories":3178},[],{"categories":3180},[333],{"categories":3182},[333],{"categories":3184},[346],{"categories":3186},[333],{"categories":3188},[333],{"categories":3190},[333],{"categories":3192},[305],{"categories":3194},[333],{"categories":3196},[333],{"categories":3198},[346],{"categories":3200},[333],{"categories":3202},[333],{"categories":3204},[333],{"categories":3206},[333],{"categories":3208},[333],{"categories":3210},[],{"categories":3212},[305],{"categories":3214},[384],{"categories":3216},[333],{"categories":3218},[346],{"categories":3220},[346],{"categories":3222},[333],{"categories":3224},[333],{"categories":3226},[],{"categories":3228},[],{"categories":3230},[333],{"categories":3232},[333],{"categories":3234},[333],{"categories":3236},[381],{"categories":3238},[384],{"categories":3240},[],{"categories":3242},[333],{"categories":3244},[433],{"categories":3246},[333],{"categories":3248},[503],{"categories":3250},[2018],{"categories":3252},[381],{"categories":3254},[305],{"categories":3256},[333],{"categories":3258},[305],{"categories":3260},[305],{"categories":3262},[333],{"categories":3264},[333],{"categories":3266},[305],{"categories":3268},[381],{"categories":3270},[381],{"categories":3272},[503],{"categories":3274},[346],{"categories":3276},[],{"categories":3278},[381],{"categories":3280},[333],{"categories":3282},[346],{"categories":3284},[336],{"categories":3286},[305],{"categories":3288},[333],{"categories":3290},[381],{"categories":3292},[],{"categories":3294},[333],{"categories":3296},[305],{"categories":3298},[305],{"categories":3300},[384],{"categories":3302},[333],{"categories":3304},[381],{"categories":3306},[333],{"categories":3308},[305],{"categories":3310},[346],{"categories":3312},[346],{"categories":3314},[381],{"categories":3316},[346],{"categories":3318},[503],{"categories":3320},[346],{"categories":3322},[333],{"categories":3324},[333],{"categories":3326},[333],{"categories":3328},[333],{"categories":3330},[305],{"categories":3332},[333],{"categories":3334},[],{"categories":3336},[346],{"categories":3338},[341],{"categories":3340},[305],{"categories":3342},[],{"categories":3344},[],{"categories":3346},[333],{"categories":3348},[346],{"categories":3350},[333],{"categories":3352},[333],{"categories":3354},[3355],"Frameworks & Tooling",{"categories":3357},[333],{"categories":3359},[333],{"categories":3361},[305],{"categories":3363},[333],{"categories":3365},[333],{"categories":3367},[],{"categories":3369},[384],{"categories":3371},[384],{"categories":3373},[336],{"categories":3375},[333],{"categories":3377},[346],{"categories":3379},[333],{"categories":3381},[433],{"categories":3383},[],{"categories":3385},[2018],{"categories":3387},[333],{"categories":3389},[305],{"categories":3391},[333],{"categories":3393},[503],{"categories":3395},[503],{"categories":3397},[],{"categories":3399},[346],{"categories":3401},[346],{"categories":3403},[333],{"categories":3405},[333],{"categories":3407},[381],{"categories":3409},[346],{"categories":3411},[381],{"categories":3413},[333],{"categories":3415},[346],{"categories":3417},[],{"categories":3419},[433],{"categories":3421},[333],{"categories":3423},[333],{"categories":3425},[],{"categories":3427},[333],{"categories":3429},[346],{"categories":3431},[333],{"categories":3433},[333],{"categories":3435},[333],{"categories":3437},[],{"categories":3439},[305],{"categories":3441},[333],{"categories":3443},[305],{"categories":3445},[503],{"categories":3447},[333],{"categories":3449},[333],{"categories":3451},[333],{"categories":3453},[305],{"categories":3455},[341],{"categories":3457},[333],{"categories":3459},[2018],{"categories":3461},[],{"categories":3463},[346],{"categories":3465},[336],{"categories":3467},[333],{"categories":3469},[336],{"categories":3471},[333],{"categories":3473},[],{"categories":3475},[346],{"categories":3477},[333],{"categories":3479},[333],{"categories":3481},[3482],"AI Design Tooling",{"categories":3484},[433],{"categories":3486},[333],{"categories":3488},[333],{"categories":3490},[305],{"categories":3492},[433],{"categories":3494},[333],{"categories":3496},[333],{"categories":3498},[305],{"categories":3500},[381],{"categories":3502},[349],{"categories":3504},[305],{"categories":3506},[333],{"categories":3508},[333],{"categories":3510},[333],{"categories":3512},[346],{"categories":3514},[333],{"categories":3516},[],{"categories":3518},[346],{"categories":3520},[333],{"categories":3522},[333],{"categories":3524},[346],{"categories":3526},[333],{"categories":3528},[333],{"categories":3530},[333],{"categories":3532},[346],{"categories":3534},[],{"categories":3536},[346],{"categories":3538},[3355],{"categories":3540},[333],{"categories":3542},[333],{"categories":3544},[346],{"categories":3546},[346],{"categories":3548},[305],{"categories":3550},[305],{"categories":3552},[333],{"categories":3554},[],{"categories":3556},[305],{"categories":3558},[333],{"categories":3560},[333],{"categories":3562},[346],{"categories":3564},[341],{"categories":3566},[333],{"categories":3568},[],{"categories":3570},[333],{"categories":3572},[333],{"categories":3574},[2459],{"categories":3576},[],{"categories":3578},[333],{"categories":3580},[333],{"categories":3582},[333],{"categories":3584},[333],{"categories":3586},[433],{"categories":3588},[333],{"categories":3590},[],{"categories":3592},[333],{"categories":3594},[333],{"categories":3596},[333],{"categories":3598},[333],{"categories":3600},[462],{"categories":3602},[381],{"categories":3604},[333],{"categories":3606},[333],{"categories":3608},[2018],{"categories":3610},[336],{"categories":3612},[333],{"categories":3614},[333],{"categories":3616},[384],{"categories":3618},[333],{"categories":3620},[333],{"categories":3622},[381],{"categories":3624},[346],{"categories":3626},[],{"categories":3628},[333],{"categories":3630},[333],{"categories":3632},[433],{"categories":3634},[333],{"categories":3636},[462],{"categories":3638},[346],{"categories":3640},[333],{"categories":3642},[346],{"categories":3644},[],{"categories":3646},[],{"categories":3648},[],{"categories":3650},[336],{"categories":3652},[381],{"categories":3654},[346],{"categories":3656},[333],{"categories":3658},[333],{"categories":3660},[333],{"categories":3662},[333],{"categories":3664},[620],{"categories":3666},[433],{"categories":3668},[346],{"categories":3670},[333],{"categories":3672},[],{"categories":3674},[346],{"categories":3676},[346],{"categories":3678},[],{"categories":3680},[333],{"categories":3682},[346],{"categories":3684},[333],{"categories":3686},[],{"categories":3688},[333],{"categories":3690},[333],{"categories":3692},[333],{"categories":3694},[381],{"categories":3696},[433],{"categories":3698},[346],{"categories":3700},[433],{"categories":3702},[346],{"categories":3704},[333],{"categories":3706},[341],{"categories":3708},[],{"categories":3710},[],{"categories":3712},[333],{"categories":3714},[333],{"categories":3716},[333],{"categories":3718},[336],{"categories":3720},[346],{"categories":3722},[381],{"categories":3724},[],{"categories":3726},[433],{"categories":3728},[],{"categories":3730},[305],{"categories":3732},[333],{"categories":3734},[305],{"categories":3736},[433],{"categories":3738},[305],{"categories":3740},[333],{"categories":3742},[],{"categories":3744},[333],{"categories":3746},[333],{"categories":3748},[],{"categories":3750},[333],{"categories":3752},[333],{"categories":3754},[462],{"categories":3756},[333],{"categories":3758},[333],{"categories":3760},[503],{"categories":3762},[305],{"categories":3764},[333],{"categories":3766},[],{"categories":3768},[346],{"categories":3770},[333],{"categories":3772},[336],{"categories":3774},[735],{"categories":3776},[333],{"categories":3778},[333],{"categories":3780},[346],{"categories":3782},[333],{"categories":3784},[346],{"categories":3786},[333],{"categories":3788},[333],{"categories":3790},[333],{"categories":3792},[333],{"categories":3794},[],{"categories":3796},[333],{"categories":3798},[336],{"categories":3800},[333],{"categories":3802},[341],{"categories":3804},[305],{"categories":3806},[433],{"categories":3808},[],{"categories":3810},[333],{"categories":3812},[],{"categories":3814},[346],{"categories":3816},[333],{"categories":3818},[],{"categories":3820},[346],{"categories":3822},[333],{"categories":3824},[305],{"categories":3826},[433],{"categories":3828},[381],{"categories":3830},[333],{"categories":3832},[381],{"categories":3834},[346],{"categories":3836},[433],{"categories":3838},[333],{"categories":3840},[],{"categories":3842},[333],{"categories":3844},[370],{"categories":3846},[346],{"categories":3848},[333],{"categories":3850},[433],{"categories":3852},[381],{"categories":3854},[341],{"categories":3856},[305],{"categories":3858},[333],{"categories":3860},[333],{"categories":3862},[333],{"categories":3864},[333],{"categories":3866},[381],{"categories":3868},[462],{"categories":3870},[],{"categories":3872},[],{"categories":3874},[384],{"categories":3876},[676],{"categories":3878},[333],{"categories":3880},[346],{"categories":3882},[333,305],{"categories":3884},[381],{"categories":3886},[333],{"categories":3888},[333],{"categories":3890},[333],{"categories":3892},[333],{"categories":3894},[333],{"categories":3896},[333],{"categories":3898},[333],{"categories":3900},[346],{"categories":3902},[333],{"categories":3904},[346],{"categories":3906},[333],{"categories":3908},[333],{"categories":3910},[333],{"categories":3912},[],{"categories":3914},[333],{"categories":3916},[1456],{"categories":3918},[305],{"categories":3920},[433],{"categories":3922},[333],{"categories":3924},[333],{"categories":3926},[333],{"categories":3928},[384],{"categories":3930},[346],{"categories":3932},[462],{"categories":3934},[503],{"categories":3936},[],{"categories":3938},[305],{"categories":3940},[333],{"categories":3942},[341],{"categories":3944},[346],{"categories":3946},[336],{"categories":3948},[346],{"categories":3950},[333],{"categories":3952},[346],{"categories":3954},[346],{"categories":3956},[349],{"categories":3958},[305],{"categories":3960},[333],{"categories":3962},[333],{"categories":3964},[],{"categories":3966},[],{"categories":3968},[],{"categories":3970},[503],{"categories":3972},[333],{"categories":3974},[381],{"categories":3976},[333],{"categories":3978},[333],{"categories":3980},[333],{"categories":3982},[333],{"categories":3984},[],{"categories":3986},[333],{"categories":3988},[384],{"categories":3990},[341],{"categories":3992},[346],{"categories":3994},[333],{"categories":3996},[],{"categories":3998},[333],{"categories":4000},[346],{"categories":4002},[333],{"categories":4004},[503],{"categories":4006},[],{"categories":4008},[433],{"categories":4010},[433],{"categories":4012},[333],{"categories":4014},[346],{"categories":4016},[],{"categories":4018},[305],{"categories":4020},[333],{"categories":4022},[433],{"categories":4024},[333],{"categories":4026},[341],{"categories":4028},[346],{"categories":4030},[333],{"categories":4032},[],{"categories":4034},[381],{"categories":4036},[333],{"categories":4038},[333],{"categories":4040},[333],{"categories":4042},[433],{"categories":4044},[346],{"categories":4046},[381],{"categories":4048},[],{"categories":4050},[346],{"categories":4052},[341],{"categories":4054},[346],{"categories":4056},[433],{"categories":4058},[333],{"categories":4060},[333],{"categories":4062},[333],{"categories":4064},[676],{"categories":4066},[333],{"categories":4068},[346],{"categories":4070},[],{"categories":4072},[333],{"categories":4074},[333],{"categories":4076},[503],{"categories":4078},[381],{"categories":4080},[384],{"categories":4082},[781],{"categories":4084},[384],{"categories":4086},[384],{"categories":4088},[333],{"categories":4090},[],{"categories":4092},[],{"categories":4094},[],{"categories":4096},[346],{"categories":4098},[333],{"categories":4100},[346],{"categories":4102},[346],{"categories":4104},[305],{"categories":4106},[333],{"categories":4108},[653],{"categories":4110},[305],{"categories":4112},[346],{"categories":4114},[333],{"categories":4116},[333],{"categories":4118},[333],{"categories":4120},[333],{"categories":4122},[333],{"categories":4124},[346],{"categories":4126},[333],{"categories":4128},[],{"categories":4130},[],{"categories":4132},[333],{"categories":4134},[],{"categories":4136},[333],{"categories":4138},[346],{"categories":4140},[433],{"categories":4142},[333],{"categories":4144},[333],{"categories":4146},[],{"categories":4148},[346],{"categories":4150},[333],{"categories":4152},[333],{"categories":4154},[349],{"categories":4156},[333],{"categories":4158},[433],{"categories":4160},[333],{"categories":4162},[346],{"categories":4164},[341],{"categories":4166},[333],{"categories":4168},[333],{"categories":4170},[462],{"categories":4172},[346],{"categories":4174},[333],{"categories":4176},[333],{"categories":4178},[1093],{"categories":4180},[333],{"categories":4182},[346],{"categories":4184},[333],{"categories":4186},[305],{"categories":4188},[333],{"categories":4190},[735],{"categories":4192},[433],{"categories":4194},[],{"categories":4196},[333],{"categories":4198},[333],{"categories":4200},[381],{"categories":4202},[676],{"categories":4204},[346],{"categories":4206},[333],{"categories":4208},[],{"categories":4210},[381],{"categories":4212},[597],{"categories":4214},[346],{"categories":4216},[346],{"categories":4218},[346],{"categories":4220},[333],{"categories":4222},[333],{"categories":4224},[346],{"categories":4226},[],{"categories":4228},[341],{"categories":4230},[333],{"categories":4232},[341],{"categories":4234},[346],{"categories":4236},[],{"categories":4238},[305],{"categories":4240},[333],{"categories":4242},[333],{"categories":4244},[336],{"categories":4246},[333],{"categories":4248},[381],{"categories":4250},[503],{"categories":4252},[370],{"categories":4254},[346],{"categories":4256},[346],{"categories":4258},[333],{"categories":4260},[333],{"categories":4262},[346],{"categories":4264},[333],{"categories":4266},[336],{"categories":4268},[],{"categories":4270},[346],{"categories":4272},[333],{"categories":4274},[333],{"categories":4276},[333],{"categories":4278},[346],{"categories":4280},[333],{"categories":4282},[],{"categories":4284},[333],{"categories":4286},[],{"categories":4288},[433],{"categories":4290},[346],{"categories":4292},[333,341],{"categories":4294},[346],{"categories":4296},[333],{"categories":4298},[],{"categories":4300},[336],{"categories":4302},[384],{"categories":4304},[341],{"categories":4306},[333],{"categories":4308},[305],{"categories":4310},[333],{"categories":4312},[333],{"categories":4314},[346],{"categories":4316},[333],{"categories":4318},[333],{"categories":4320},[333],{"categories":4322},[381],{"categories":4324},[1456],{"categories":4326},[346],{"categories":4328},[333],{"categories":4330},[],{"categories":4332},[],{"categories":4334},[333],{"categories":4336},[346],{"categories":4338},[333],{"categories":4340},[333],{"categories":4342},[503],{"categories":4344},[],{"categories":4346},[333],{"categories":4348},[346],{"categories":4350},[370],{"categories":4352},[346],{"categories":4354},[676],{"categories":4356},[],{"categories":4358},[620],{"categories":4360},[346],{"categories":4362},[333],{"categories":4364},[333],{"categories":4366},[462],{"categories":4368},[346],{"categories":4370},[333],{"categories":4372},[384],{"categories":4374},[349],{"categories":4376},[346],{"categories":4378},[333],{"categories":4380},[676],{"categories":4382},[333],{"categories":4384},[503],{"categories":4386},[341],{"categories":4388},[],{"categories":4390},[333],{"categories":4392},[333],{"categories":4394},[462],{"categories":4396},[433],{"categories":4398},[333],{"categories":4400},[333],{"categories":4402},[333],{"categories":4404},[],{"categories":4406},[462],{"categories":4408},[381],{"categories":4410},[333],{"categories":4412},[333],{"categories":4414},[333],{"categories":4416},[781],{"categories":4418},[336],{"categories":4420},[333],{"categories":4422},[349],{"categories":4424},[333],{"categories":4426},[],{"categories":4428},[],{"categories":4430},[433],{"categories":4432},[333],{"categories":4434},[384],{"categories":4436},[462],{"categories":4438},[346],{"categories":4440},[333],{"categories":4442},[333],{"categories":4444},[462],{"categories":4446},[381],{"categories":4448},[333],{"categories":4450},[],{"categories":4452},[333],{"categories":4454},[333],{"categories":4456},[],{"categories":4458},[333],{"categories":4460},[333],{"categories":4462},[806],{"categories":4464},[333],{"categories":4466},[333],{"categories":4468},[346],{"categories":4470},[305],{"categories":4472},[676],{"categories":4474},[333],{"categories":4476},[333],{"categories":4478},[333],{"categories":4480},[],{"categories":4482},[333,305],{"categories":4484},[381],{"categories":4486},[346],{"categories":4488},[305],{"categories":4490},[346],{"categories":4492},[1131],{"categories":4494},[305],{"categories":4496},[305],{"categories":4498},[346],{"categories":4500},[333],{"categories":4502},[336],{"categories":4504},[],{"categories":4506},[],{"categories":4508},[346],{"categories":4510},[333],{"categories":4512},[305],{"categories":4514},[333],{"categories":4516},[336],{"categories":4518},[305],{"categories":4520},[305],{"categories":4522},[333],{"categories":4524},[462],{"categories":4526},[333],{"categories":4528},[305],{"categories":4530},[333],{"categories":4532},[],{"categories":4534},[333],{"categories":4536},[333],{"categories":4538},[433,333],{"categories":4540},[503],{"categories":4542},[336],{"categories":4544},[333],{"categories":4546},[],{"categories":4548},[333],{"categories":4550},[333],{"categories":4552},[341],{"categories":4554},[333],{"categories":4556},[341],{"categories":4558},[333],{"categories":4560},[333],{"categories":4562},[597],{"categories":4564},[333],{"categories":4566},[341],{"categories":4568},[305],{"categories":4570},[384],{"categories":4572},[346],{"categories":4574},[333],{"categories":4576},[305],{"categories":4578},[333],{"categories":4580},[333],{"categories":4582},[381],{"categories":4584},[462],{"categories":4586},[433],{"categories":4588},[333],{"categories":4590},[333],{"categories":4592},[333],{"categories":4594},[333],{"categories":4596},[336],{"categories":4598},[333],{"categories":4600},[346],{"categories":4602},[346],{"categories":4604},[305],{"categories":4606},[381],{"categories":4608},[305],{"categories":4610},[305],{"categories":4612},[333],{"categories":4614},[333],{"categories":4616},[],{"categories":4618},[],{"categories":4620},[384],{"categories":4622},[333],{"categories":4624},[305],{"categories":4626},[333],{"categories":4628},[433],{"categories":4630},[676],{"categories":4632},[620],{"categories":4634},[597],{"categories":4636},[333],{"categories":4638},[333],{"categories":4640},[333],{"categories":4642},[384],{"categories":4644},[333],{"categories":4646},[333],{"categories":4648},[333],{"categories":4650},[333],{"categories":4652},[333],{"categories":4654},[333],{"categories":4656},[333],{"categories":4658},[346],{"categories":4660},[336],{"categories":4662},[346],{"categories":4664},[333,341],{"categories":4666},[],{"categories":4668},[433],{"categories":4670},[],{"categories":4672},[349],{"categories":4674},[333],{"categories":4676},[381],{"categories":4678},[336],{"categories":4680},[333],{"categories":4682},[336],{"categories":4684},[346],{"categories":4686},[384],{"categories":4688},[346],{"categories":4690},[349],{"categories":4692},[346],{"categories":4694},[333],{"categories":4696},[333],{"categories":4698},[341],{"categories":4700},[346],{"categories":4702},[305],{"categories":4704},[462],{"categories":4706},[333],{"categories":4708},[333],{"categories":4710},[],{"categories":4712},[381],{"categories":4714},[333],{"categories":4716},[333],{"categories":4718},[333],{"categories":4720},[333],{"categories":4722},[333],{"categories":4724},[333],{"categories":4726},[305],{"categories":4728},[381],{"categories":4730},[305],{"categories":4732},[305],{"categories":4734},[333],{"categories":4736},[333],{"categories":4738},[333],{"categories":4740},[333],{"categories":4742},[620],{"categories":4744},[333],{"categories":4746},[346],{"categories":4748},[381],{"categories":4750},[333],{"categories":4752},[333],{"categories":4754},[333],{"categories":4756},[346],{"categories":4758},[333],{"categories":4760},[333],{"categories":4762},[333],{"categories":4764},[3355],{"categories":4766},[4767],"Clinical AI",{"categories":4769},[433],{"categories":4771},[333],{"categories":4773},[333],{"categories":4775},[333],{"categories":4777},[333],{"categories":4779},[503],{"categories":4781},[2714],{"categories":4783},[333],{"categories":4785},[349],{"categories":4787},[433],{"categories":4789},[333],{"categories":4791},[346],{"categories":4793},[333],{"categories":4795},[333],{"categories":4797},[381],{"categories":4799},[333],{"categories":4801},[346],{"categories":4803},[305],{"categories":4805},[462],{"categories":4807},[333],{"categories":4809},[333],{"categories":4811},[341],{"categories":4813},[333],{"categories":4815},[333],{"categories":4817},[735],{"categories":4819},[333],{"categories":4821},[],{"categories":4823},[346],{"categories":4825},[333],{"categories":4827},[305],{"categories":4829},[336],{"categories":4831},[333],{"categories":4833},[],{"categories":4835},[],{"categories":4837},[333],{"categories":4839},[],{"categories":4841},[341],{"categories":4843},[333],{"categories":4845},[333],{"categories":4847},[346],{"categories":4849},[333],{"categories":4851},[381],{"categories":4853},[381],{"categories":4855},[381],{"categories":4857},[381],{"categories":4859},[],{"categories":4861},[336],{"categories":4863},[346],{"categories":4865},[381],{"categories":4867},[333],{"categories":4869},[806],{"categories":4871},[349],{"categories":4873},[346],{"categories":4875},[333],{"categories":4877},[336],{"categories":4879},[333],{"categories":4881},[346],{"categories":4883},[333],{"categories":4885},[333],{"categories":4887},[333],{"categories":4889},[333,346],{"categories":4891},[346],{"categories":4893},[503],{"categories":4895},[381],{"categories":4897},[346],{"categories":4899},[381],{"categories":4901},[346],{"categories":4903},[333],{"categories":4905},[],{"categories":4907},[381],{"categories":4909},[462],{"categories":4911},[336],{"categories":4913},[333],{"categories":4915},[333],{"categories":4917},[],{"categories":4919},[305],{"categories":4921},[],{"categories":4923},[336],{"categories":4925},[346],{"categories":4927},[381],{"categories":4929},[333],{"categories":4931},[381],{"categories":4933},[336],{"categories":4935},[381],{"categories":4937},[381],{"categories":4939},[],{"categories":4941},[341],{"categories":4943},[346],{"categories":4945},[381],{"categories":4947},[381],{"categories":4949},[381],{"categories":4951},[381],{"categories":4953},[381],{"categories":4955},[381],{"categories":4957},[381],{"categories":4959},[381],{"categories":4961},[381],{"categories":4963},[381],{"categories":4965},[384],{"categories":4967},[336],{"categories":4969},[333],{"categories":4971},[333],{"categories":4973},[346],{"categories":4975},[346],{"categories":4977},[],{"categories":4979},[333],{"categories":4981},[333,336],{"categories":4983},[],{"categories":4985},[346],{"categories":4987},[333],{"categories":4989},[381],{"categories":4991},[346],{"categories":4993},[1131],{"categories":4995},[333],{"categories":4997},[333],{"categories":4999},[333],{"categories":5001},[333],{"categories":5003},[333],{"categories":5005},[597],{"categories":5007},[333],{"categories":5009},[333],{"categories":5011},[346],{"categories":5013},[333],{"categories":5015},[333],{"categories":5017},[341],{"categories":5019},[349],{"categories":5021},[346],{"categories":5023},[346],{"categories":5025},[],{"categories":5027},[346],{"categories":5029},[433],{"categories":5031},[381],{"categories":5033},[333],{"categories":5035},[],{"categories":5037},[349],{"categories":5039},[],{"categories":5041},[305],{"categories":5043},[333],{"categories":5045},[346],{"categories":5047},[433],{"categories":5049},[333],{"categories":5051},[],{"categories":5053},[333],{"categories":5055},[333],{"categories":5057},[],{"categories":5059},[462],{"categories":5061},[333],{"categories":5063},[346],{"categories":5065},[],{"categories":5067},[],{"categories":5069},[381],{"categories":5071},[336],{"categories":5073},[333],{"categories":5075},[333],{"categories":5077},[341],{"categories":5079},[333],{"categories":5081},[333],{"categories":5083},[346],{"categories":5085},[333],{"categories":5087},[341],{"categories":5089},[341],{"categories":5091},[433],{"categories":5093},[],{"categories":5095},[333],{"categories":5097},[381],{"categories":5099},[],{"categories":5101},[333],{"categories":5103},[333],{"categories":5105},[433],{"categories":5107},[333],{"categories":5109},[333],{"categories":5111},[462],{"categories":5113},[333],{"categories":5115},[503],{"categories":5117},[],{"categories":5119},[346],{"categories":5121},[333],{"categories":5123},[462],{"categories":5125},[305],{"categories":5127},[],{"categories":5129},[333],{"categories":5131},[],{"categories":5133},[346],{"categories":5135},[433],{"categories":5137},[305],{"categories":5139},[],{"categories":5141},[3355],{"categories":5143},[341],{"categories":5145},[336],{"categories":5147},[333],{"categories":5149},[384],{"categories":5151},[346],{"categories":5153},[433],{"categories":5155},[333],{"categories":5157},[305],{"categories":5159},[],{"categories":5161},[],{"categories":5163},[333],{"categories":5165},[336],{"categories":5167},[333],{"categories":5169},[462],{"categories":5171},[],{"categories":5173},[346],{"categories":5175},[346],{"categories":5177},[333],{"categories":5179},[346],{"categories":5181},[333],{"categories":5183},[381],{"categories":5185},[305],{"categories":5187},[333],{"categories":5189},[346],{"categories":5191},[349],{"categories":5193},[333],{"categories":5195},[333],{"categories":5197},[333],{"categories":5199},[346],{"categories":5201},[333],{"categories":5203},[349],{"categories":5205},[462],{"categories":5207},[381],{"categories":5209},[],{"categories":5211},[462],{"categories":5213},[333],{"categories":5215},[],{"categories":5217},[305],{"categories":5219},[346],{"categories":5221},[],{"categories":5223},[333],{"categories":5225},[333],{"categories":5227},[333],{"categories":5229},[333],{"categories":5231},[333],{"categories":5233},[346],{"categories":5235},[341],{"categories":5237},[336],{"categories":5239},[346],{"categories":5241},[333],{"categories":5243},[433],{"categories":5245},[305],{"categories":5247},[305],{"categories":5249},[333],{"categories":5251},[384],{"categories":5253},[346],{"categories":5255},[333],{"categories":5257},[333],{"categories":5259},[346],{"categories":5261},[333],{"categories":5263},[333],{"categories":5265},[346],{"categories":5267},[341],{"categories":5269},[333],{"categories":5271},[433],{"categories":5273},[305],{"categories":5275},[346],{"categories":5277},[333],{"categories":5279},[349],{"categories":5281},[333],{"categories":5283},[346],{"categories":5285},[333],{"categories":5287},[333],{"categories":5289},[381],{"categories":5291},[333],{"categories":5293},[],{"categories":5295},[336],{"categories":5297},[333],{"categories":5299},[333],{"categories":5301},[333],{"categories":5303},[305],{"categories":5305},[305],{"categories":5307},[333],{"categories":5309},[305],{"categories":5311},[333],{"categories":5313},[346],{"categories":5315},[333],{"categories":5317},[333],{"categories":5319},[333],{"categories":5321},[333],{"categories":5323},[333],{"categories":5325},[],{"categories":5327},[333],{"categories":5329},[433],{"categories":5331},[346],{"categories":5333},[341],{"categories":5335},[381],{"categories":5337},[333],{"categories":5339},[346],{"categories":5341},[333],{"categories":5343},[346],{"categories":5345},[333],{"categories":5347},[333],{"categories":5349},[433],{"categories":5351},[346],{"categories":5353},[333],{"categories":5355},[462],{"categories":5357},[333],{"categories":5359},[384],{"categories":5361},[333],{"categories":5363},[333],{"categories":5365},[381],{"categories":5367},[333],{"categories":5369},[333],{"categories":5371},[333],{"categories":5373},[333],{"categories":5375},[346],{"categories":5377},[503],{"categories":5379},[333],{"categories":5381},[305],{"categories":5383},[346],{"categories":5385},[384],{"categories":5387},[],{"categories":5389},[346],{"categories":5391},[305],{"categories":5393},[333],{"categories":5395},[333],{"categories":5397},[2552],{"categories":5399},[433],{"categories":5401},[532],{"categories":5403},[333],{"categories":5405},[333],{"categories":5407},[333],{"categories":5409},[333],{"categories":5411},[336],{"categories":5413},[333],{"categories":5415},[333],{"categories":5417},[305],{"categories":5419},[341],{"categories":5421},[333],{"categories":5423},[305],{"categories":5425},[333],{"categories":5427},[],{"categories":5429},[346],{"categories":5431},[346],{"categories":5433},[333],{"categories":5435},[333],{"categories":5437},[333],{"categories":5439},[384],{"categories":5441},[],{"categories":5443},[381],{"categories":5445},[],{"categories":5447},[381],{"categories":5449},[333],{"categories":5451},[333],{"categories":5453},[346],{"categories":5455},[333],{"categories":5457},[346],{"categories":5459},[346],{"categories":5461},[],{"categories":5463},[333],{"categories":5465},[381],{"categories":5467},[333],{"categories":5469},[],{"categories":5471},[333],{"categories":5473},[333],{"categories":5475},[],{"categories":5477},[333],{"categories":5479},[333],{"categories":5481},[433],{"categories":5483},[305],{"categories":5485},[346],{"categories":5487},[333],{"categories":5489},[333],{"categories":5491},[333],{"categories":5493},[333],{"categories":5495},[462],{"categories":5497},[333],{"categories":5499},[333],{"categories":5501},[333],{"categories":5503},[336],{"categories":5505},[333],{"categories":5507},[333],{"categories":5509},[],{"categories":5511},[333],{"categories":5513},[333],{"categories":5515},[333],{"categories":5517},[],{"categories":5519},[336],{"categories":5521},[333],{"categories":5523},[333],{"categories":5525},[381],{"categories":5527},[305],{"categories":5529},[349],{"categories":5531},[346],{"categories":5533},[676],{"categories":5535},[333],{"categories":5537},[333],{"categories":5539},[333],{"categories":5541},[305],{"categories":5543},[381],{"categories":5545},[433],{"categories":5547},[333],{"categories":5549},[333],{"categories":5551},[333],{"categories":5553},[333],{"categories":5555},[381],{"categories":5557},[333],{"categories":5559},[433],{"categories":5561},[333],{"categories":5563},[333],{"categories":5565},[381],{"categories":5567},[433],{"categories":5569},[333],{"categories":5571},[381],{"categories":5573},[333],{"categories":5575},[346],{"categories":5577},[346],{"categories":5579},[346],{"categories":5581},[305],{"categories":5583},[381],{"categories":5585},[346],{"categories":5587},[346],{"categories":5589},[333],{"categories":5591},[305],{"categories":5593},[433],{"categories":5595},[333],{"categories":5597},[333],{"categories":5599},[346],{"categories":5601},[333],{"categories":5603},[],{"categories":5605},[346],{"categories":5607},[],{"categories":5609},[333],{"categories":5611},[333],{"categories":5613},[],{"categories":5615},[],{"categories":5617},[346],{"categories":5619},[341],{"categories":5621},[346],{"categories":5623},[5624],"Liability & Ethics",{"categories":5626},[333],{"categories":5628},[333],{"categories":5630},[333],{"categories":5632},[346],{"categories":5634},[336],{"categories":5636},[346],{"categories":5638},[341],{"categories":5640},[462],{"categories":5642},[346],{"categories":5644},[333],{"categories":5646},[333],{"categories":5648},[],{"categories":5650},[781],{"categories":5652},[346],{"categories":5654},[],{"categories":5656},[333],{"categories":5658},[336],{"categories":5660},[346],{"categories":5662},[],{"categories":5664},[346],{"categories":5666},[333],{"categories":5668},[333],{"categories":5670},[305],{"categories":5672},[333],{"categories":5674},[381],{"categories":5676},[333],{"categories":5678},[333],{"categories":5680},[349],{"categories":5682},[346],{"categories":5684},[333],{"categories":5686},[333],{"categories":5688},[333],{"categories":5690},[381],{"categories":5692},[346],{"categories":5694},[305],{"categories":5696},[433],{"categories":5698},[336],{"categories":5700},[333],{"categories":5702},[333],{"categories":5704},[333],{"categories":5706},[],{"categories":5708},[346],{"categories":5710},[346],{"categories":5712},[346],{"categories":5714},[676],{"categories":5716},[433],{"categories":5718},[346],{"categories":5720},[503],{"categories":5722},[305],{"categories":5724},[381],{"categories":5726},[333],{"categories":5728},[433],{"categories":5730},[333],{"categories":5732},[336],{"categories":5734},[],{"categories":5736},[346],{"categories":5738},[333],{"categories":5740},[333],{"categories":5742},[333],{"categories":5744},[333],{"categories":5746},[346],{"categories":5748},[333],{"categories":5750},[333],{"categories":5752},[433],{"categories":5754},[],{"categories":5756},[346],{"categories":5758},[349],{"categories":5760},[381],{"categories":5762},[346],{"categories":5764},[341],{"categories":5766},[],{"categories":5768},[333],{"categories":5770},[333],{"categories":5772},[349],{"categories":5774},[333],{"categories":5776},[346],{"categories":5778},[381],{"categories":5780},[336],{"categories":5782},[503],{"categories":5784},[333],{"categories":5786},[333],{"categories":5788},[333],{"categories":5790},[381],{"categories":5792},[341],{"categories":5794},[333],{"categories":5796},[433],{"categories":5798},[381],{"categories":5800},[503],{"categories":5802},[333],{"categories":5804},[346],{"categories":5806},[],{"categories":5808},[735],{"categories":5810},[],{"categories":5812},[333],{"categories":5814},[503],{"categories":5816},[333],{"categories":5818},[384],{"categories":5820},[333],{"categories":5822},[346],{"categories":5824},[346],{"categories":5826},[5827],"Design News & Tools",{"categories":5829},[333],{"categories":5831},[333],{"categories":5833},[381],{"categories":5835},[333],{"categories":5837},[333],{"categories":5839},[336],{"categories":5841},[346],{"categories":5843},[333],{"categories":5845},[433],{"categories":5847},[346],{"categories":5849},[346],{"categories":5851},[433],{"categories":5853},[333],{"categories":5855},[333],{"categories":5857},[676],{"categories":5859},[346],{"categories":5861},[333],{"categories":5863},[333],{"categories":5865},[676],{"categories":5867},[333],{"categories":5869},[462],{"categories":5871},[333],{"categories":5873},[346],{"categories":5875},[],{"categories":5877},[333],{"categories":5879},[333],{"categories":5881},[333],{"categories":5883},[381],{"categories":5885},[333],{"categories":5887},[336],{"categories":5889},[],{"categories":5891},[333],{"categories":5893},[333],{"categories":5895},[333],{"categories":5897},[305],{"categories":5899},[806],{"categories":5901},[305],{"categories":5903},[433],{"categories":5905},[333],{"categories":5907},[333,346],{"categories":5909},[462,341],{"categories":5911},[305],{"categories":5913},[333],{"categories":5915},[333],{"categories":5917},[333],{"categories":5919},[333],{"categories":5921},[],{"categories":5923},[346],{"categories":5925},[333],{"categories":5927},[],{"categories":5929},[333],{"categories":5931},[305],{"categories":5933},[333],{"categories":5935},[305],{"categories":5937},[],{"categories":5939},[346],{"categories":5941},[333],{"categories":5943},[341],{"categories":5945},[333],{"categories":5947},[381],{"categories":5949},[333],{"categories":5951},[],{"categories":5953},[346],{"categories":5955},[333],{"categories":5957},[],{"categories":5959},[433],{"categories":5961},[333],{"categories":5963},[333],{"categories":5965},[346],{"categories":5967},[333],{"categories":5969},[333],{"categories":5971},[336],{"categories":5973},[346],{"categories":5975},[333],{"categories":5977},[],{"categories":5979},[333],{"categories":5981},[503],{"categories":5983},[462],{"categories":5985},[341],{"categories":5987},[341],{"categories":5989},[333],{"categories":5991},[336],{"categories":5993},[336],{"categories":5995},[333],{"categories":5997},[346],{"categories":5999},[333],{"categories":6001},[333],{"categories":6003},[333],{"categories":6005},[333],{"categories":6007},[305],{"categories":6009},[333],{"categories":6011},[336],{"categories":6013},[333],{"categories":6015},[333],{"categories":6017},[346],{"categories":6019},[333],{"categories":6021},[462],{"categories":6023},[333],{"categories":6025},[381],{"categories":6027},[333],{"categories":6029},[333],{"categories":6031},[346],{"categories":6033},[349],{"categories":6035},[333],{"categories":6037},[333],{"categories":6039},[346],{"categories":6041},[],{"categories":6043},[305],{"categories":6045},[],{"categories":6047},[305],{"categories":6049},[346],{"categories":6051},[336],{"categories":6053},[333],{"categories":6055},[],{"categories":6057},[384],{"categories":6059},[503],{"categories":6061},[333],{"categories":6063},[305],{"categories":6065},[333],{"categories":6067},[],{"categories":6069},[381],{"categories":6071},[346],{"categories":6073},[305],{"categories":6075},[433],{"categories":6077},[341],{"categories":6079},[333],{"categories":6081},[333],{"categories":6083},[346],{"categories":6085},[305],{"categories":6087},[346],{"categories":6089},[381],{"categories":6091},[333],{"categories":6093},[349],{"categories":6095},[336],{"categories":6097},[349],{"categories":6099},[381],{"categories":6101},[333],{"categories":6103},[305],{"categories":6105},[333],{"categories":6107},[433],{"categories":6109},[341],{"categories":6111},[333],{"categories":6113},[333],{"categories":6115},[333],{"categories":6117},[333],{"categories":6119},[333],{"categories":6121},[333],{"categories":6123},[346],{"categories":6125},[333],{"categories":6127},[346],{"categories":6129},[333],{"categories":6131},[333],{"categories":6133},[336],{"categories":6135},[333],{"categories":6137},[346],{"categories":6139},[346],{"categories":6141},[433],{"categories":6143},[346],{"categories":6145},[346],{"categories":6147},[333],{"categories":6149},[336],{"categories":6151},[346],{"categories":6153},[433],{"categories":6155},[],{"categories":6157},[333],{"categories":6159},[384],{"categories":6161},[676],{"categories":6163},[333],{"categories":6165},[346],{"categories":6167},[333],{"categories":6169},[333],{"categories":6171},[305],{"categories":6173},[333],{"categories":6175},[],{"categories":6177},[333],{"categories":6179},[346],{"categories":6181},[333],{"categories":6183},[462],{"categories":6185},[333],{"categories":6187},[305],{"categories":6189},[333],{"categories":6191},[381],{"categories":6193},[346],{"categories":6195},[333],{"categories":6197},[462],{"categories":6199},[346],{"categories":6201},[341],{"categories":6203},[341],{"categories":6205},[333],{"categories":6207},[333],{"categories":6209},[333],{"categories":6211},[333],{"categories":6213},[333],{"categories":6215},[333],{"categories":6217},[336],{"categories":6219},[],{"categories":6221},[333],{"categories":6223},[333],{"categories":6225},[346],{"categories":6227},[346],{"categories":6229},[333],{"categories":6231},[333],{"categories":6233},[333],{"categories":6235},[333],{"categories":6237},[333],{"categories":6239},[305],{"categories":6241},[],{"categories":6243},[336],{"categories":6245},[333],{"categories":6247},[333],{"categories":6249},[346],{"categories":6251},[346],{"categories":6253},[],{"categories":6255},[305],{"categories":6257},[305],{"categories":6259},[333],{"categories":6261},[462],{"categories":6263},[341],{"categories":6265},[433],{"categories":6267},[],{"categories":6269},[333],{"categories":6271},[346],{"categories":6273},[336],{"categories":6275},[333],{"categories":6277},[333],{"categories":6279},[305],{"categories":6281},[336],{"categories":6283},[333],{"categories":6285},[333],{"categories":6287},[381],{"categories":6289},[384],{"categories":6291},[333],{"categories":6293},[381],{"categories":6295},[346],{"categories":6297},[333],{"categories":6299},[],{"categories":6301},[381],{"categories":6303},[346],{"categories":6305},[433],{"categories":6307},[384],{"categories":6309},[333],{"categories":6311},[333],{"categories":6313},[],{"categories":6315},[346],{"categories":6317},[346],{"categories":6319},[346],{"categories":6321},[3355],{"categories":6323},[381],{"categories":6325},[333],{"categories":6327},[305],{"categories":6329},[333],{"categories":6331},[333],{"categories":6333},[333],{"categories":6335},[333],{"categories":6337},[333],{"categories":6339},[341],{"categories":6341},[333],{"categories":6343},[336],{"categories":6345},[2018],{"categories":6347},[503],{"categories":6349},[336],{"categories":6351},[],{"categories":6353},[333],{"categories":6355},[],{"categories":6357},[381],{"categories":6359},[346],{"categories":6361},[433],{"categories":6363},[333],{"categories":6365},[333],{"categories":6367},[333],{"categories":6369},[381],{"categories":6371},[],{"categories":6373},[346],{"categories":6375},[333],{"categories":6377},[346],{"categories":6379},[346],{"categories":6381},[],{"categories":6383},[333],{"categories":6385},[],{"categories":6387},[381],{"categories":6389},[336],{"categories":6391},[433],{"categories":6393},[333],{"categories":6395},[346],{"categories":6397},[381],{"categories":6399},[333],{"categories":6401},[381],{"categories":6403},[],{"categories":6405},[381],{"categories":6407},[333],{"categories":6409},[336],{"categories":6411},[676],{"categories":6413},[346],{"categories":6415},[333],{"categories":6417},[],{"categories":6419},[305],{"categories":6421},[346],{"categories":6423},[349],{"categories":6425},[346],{"categories":6427},[336],{"categories":6429},[333],{"categories":6431},[333],{"categories":6433},[],{"categories":6435},[],{"categories":6437},[],{"categories":6439},[433],{"categories":6441},[333],{"categories":6443},[346],{"categories":6445},[333],{"categories":6447},[333],{"categories":6449},[],{"categories":6451},[],{"categories":6453},[],{"categories":6455},[333],{"categories":6457},[346],{"categories":6459},[433],{"categories":6461},[333],{"categories":6463},[],{"categories":6465},[346],{"categories":6467},[333],{"categories":6469},[333],{"categories":6471},[336],{"categories":6473},[],{"categories":6475},[],{"categories":6477},[333],{"categories":6479},[333],{"categories":6481},[346],{"categories":6483},[433],{"categories":6485},[333],{"categories":6487},[381],{"categories":6489},[],{"categories":6491},[333],{"categories":6493},[333],{"categories":6495},[462],{"categories":6497},[381],{"categories":6499},[462],{"categories":6501},[384],{"categories":6503},[333],{"categories":6505},[333],{"categories":6507},[],{"categories":6509},[],{"categories":6511},[346],{"categories":6513},[],{"categories":6515},[333],{"categories":6517},[676],{"categories":6519},[333],{"categories":6521},[333],{"categories":6523},[333],{"categories":6525},[333],{"categories":6527},[],{"categories":6529},[346],{"categories":6531},[333],{"categories":6533},[333],{"categories":6535},[],{"categories":6537},[346],{"categories":6539},[333],{"categories":6541},[381],{"categories":6543},[333],{"categories":6545},[462],{"categories":6547},[341],{"categories":6549},[349],{"categories":6551},[333],{"categories":6553},[333],{"categories":6555},[346],{"categories":6557},[384],{"categories":6559},[346],{"categories":6561},[346],{"categories":6563},[],{"categories":6565},[333],{"categories":6567},[346],{"categories":6569},[],{"categories":6571},[333],{"categories":6573},[],{"categories":6575},[381],{"categories":6577},[341],{"categories":6579},[],{"categories":6581},[333],{"categories":6583},[333],{"categories":6585},[333],{"categories":6587},[],{"categories":6589},[346],{"categories":6591},[433],{"categories":6593},[336],{"categories":6595},[333],{"categories":6597},[],{"categories":6599},[341],{"categories":6601},[462],{"categories":6603},[333],{"categories":6605},[305],{"categories":6607},[336],{"categories":6609},[384],{"categories":6611},[341],{"categories":6613},[305],{"categories":6615},[346],{"categories":6617},[305],{"categories":6619},[],{"categories":6621},[333],{"categories":6623},[349],{"categories":6625},[333],{"categories":6627},[],{"categories":6629},[346],{"categories":6631},[336],{"categories":6633},[433],{"categories":6635},[333],{"categories":6637},[336],{"categories":6639},[346],{"categories":6641},[503],{"categories":6643},[333],{"categories":6645},[333],{"categories":6647},[333],{"categories":6649},[333],{"categories":6651},[333],{"categories":6653},[336],{"categories":6655},[333],{"categories":6657},[305],{"categories":6659},[384],{"categories":6661},[346],{"categories":6663},[],{"categories":6665},[333],{"categories":6667},[333],{"categories":6669},[333],{"categories":6671},[305],{"categories":6673},[346],{"categories":6675},[381],{"categories":6677},[305],{"categories":6679},[333],{"categories":6681},[349],{"categories":6683},[],{"categories":6685},[433],{"categories":6687},[305],{"categories":6689},[381],{"categories":6691},[333],{"categories":6693},[336],{"categories":6695},[346],{"categories":6697},[333],{"categories":6699},[333],{"categories":6701},[346],{"categories":6703},[349],{"categories":6705},[333],{"categories":6707},[346],{"categories":6709},[333],{"categories":6711},[341],{"categories":6713},[346],{"categories":6715},[346,503],{"categories":6717},[333],{"categories":6719},[333],{"categories":6721},[346],{"categories":6723},[305],{"categories":6725},[333],{"categories":6727},[333],{"categories":6729},[384],{"categories":6731},[346],{"categories":6733},[462],{"categories":6735},[346],{"categories":6737},[341],{"categories":6739},[],{"categories":6741},[346],{"categories":6743},[333],{"categories":6745},[341],{"categories":6747},[],{"categories":6749},[],{"categories":6751},[305],{"categories":6753},[333],{"categories":6755},[333],{"categories":6757},[346],{"categories":6759},[384],{"categories":6761},[462],{"categories":6763},[333],{"categories":6765},[333],{"categories":6767},[333],{"categories":6769},[346],{"categories":6771},[],{"categories":6773},[346],{"categories":6775},[381],{"categories":6777},[333],{"categories":6779},[346],{"categories":6781},[346],{"categories":6783},[333],{"categories":6785},[],{"categories":6787},[381],{"categories":6789},[305],{"categories":6791},[3355],{"categories":6793},[336],{"categories":6795},[305],{"categories":6797},[333],{"categories":6799},[346],{"categories":6801},[333],{"categories":6803},[333],{"categories":6805},[462],{"categories":6807},[305],{"categories":6809},[384],{"categories":6811},[],{"categories":6813},[381],{"categories":6815},[333],{"categories":6817},[333],{"categories":6819},[],{"categories":6821},[346],{"categories":6823},[333],{"categories":6825},[333],{"categories":6827},[333],{"categories":6829},[333],{"categories":6831},[346],{"categories":6833},[333],{"categories":6835},[333],{"categories":6837},[333],{"categories":6839},[349],{"categories":6841},[333],{"categories":6843},[346],{"categories":6845},[333],{"categories":6847},[333],{"categories":6849},[333],{"categories":6851},[333],{"categories":6853},[333],{"categories":6855},[333],{"categories":6857},[333],{"categories":6859},[341],{"categories":6861},[],{"categories":6863},[349],{"categories":6865},[381],{"categories":6867},[346],{"categories":6869},[333],{"categories":6871},[305],{"categories":6873},[],{"categories":6875},[305],{"categories":6877},[305],{"categories":6879},[346],{"categories":6881},[305],{"categories":6883},[333],{"categories":6885},[333],{"categories":6887},[333],{"categories":6889},[346],{"categories":6891},[305],{"categories":6893},[333],{"categories":6895},[333],{"categories":6897},[333],{"categories":6899},[346],{"categories":6901},[381],{"categories":6903},[333],{"categories":6905},[333],{"categories":6907},[333],{"categories":6909},[341],{"categories":6911},[333],{"categories":6913},[346],{"categories":6915},[433],{"categories":6917},[],{"categories":6919},[333],{"categories":6921},[384],{"categories":6923},[346],{"categories":6925},[333],{"categories":6927},[333],{"categories":6929},[],{"categories":6931},[333],{"categories":6933},[333],{"categories":6935},[381],{"categories":6937},[333],{"categories":6939},[333],{"categories":6941},[346],{"categories":6943},[462],{"categories":6945},[],{"categories":6947},[],{"categories":6949},[305],{"categories":6951},[333],{"categories":6953},[333],{"categories":6955},[381],{"categories":6957},[333],{"categories":6959},[305],{"categories":6961},[381],{"categories":6963},[333],{"categories":6965},[333],{"categories":6967},[462],{"categories":6969},[384],{"categories":6971},[333],{"categories":6973},[333],{"categories":6975},[336],{"categories":6977},[346],{"categories":6979},[333],{"categories":6981},[333],{"categories":6983},[346],{"categories":6985},[341],{"categories":6987},[346],{"categories":6989},[305],{"categories":6991},[333],{"categories":6993},[341],{"categories":6995},[],{"categories":6997},[333],{"categories":6999},[384],{"categories":7001},[333],{"categories":7003},[333],{"categories":7005},[],{"categories":7007},[381],{"categories":7009},[333],{"categories":7011},[346],{"categories":7013},[384],{"categories":7015},[333],{"categories":7017},[305],{"categories":7019},[305],{"categories":7021},[305],{"categories":7023},[333],{"categories":7025},[346],{"categories":7027},[346],{"categories":7029},[333],{"categories":7031},[346],{"categories":7033},[333],{"categories":7035},[333],{"categories":7037},[433],{"categories":7039},[384],{"categories":7041},[384],{"categories":7043},[],{"categories":7045},[381],{"categories":7047},[333],{"categories":7049},[333],{"categories":7051},[305],{"categories":7053},[],{"categories":7055},[381],{"categories":7057},[381],{"categories":7059},[381],{"categories":7061},[],{"categories":7063},[346],{"categories":7065},[333],{"categories":7067},[],{"categories":7069},[336],{"categories":7071},[341],{"categories":7073},[],{"categories":7075},[333],{"categories":7077},[333],{"categories":7079},[],{"categories":7081},[305],{"categories":7083},[],{"categories":7085},[],{"categories":7087},[],{"categories":7089},[],{"categories":7091},[333],{"categories":7093},[381],{"categories":7095},[],{"categories":7097},[],{"categories":7099},[333],{"categories":7101},[333],{"categories":7103},[333],{"categories":7105},[384],{"categories":7107},[333],{"categories":7109},[384],{"categories":7111},[],{"categories":7113},[384],{"categories":7115},[384],{"categories":7117},[503],{"categories":7119},[346],{"categories":7121},[305],{"categories":7123},[],{"categories":7125},[],{"categories":7127},[384],{"categories":7129},[305],{"categories":7131},[305],{"categories":7133},[305],{"categories":7135},[],{"categories":7137},[336],{"categories":7139},[305],{"categories":7141},[305],{"categories":7143},[336],{"categories":7145},[305],{"categories":7147},[341],{"categories":7149},[305],{"categories":7151},[305],{"categories":7153},[305],{"categories":7155},[384],{"categories":7157},[381],{"categories":7159},[381],{"categories":7161},[333],{"categories":7163},[305],{"categories":7165},[384],{"categories":7167},[503],{"categories":7169},[384],{"categories":7171},[384],{"categories":7173},[384],{"categories":7175},[],{"categories":7177},[341],{"categories":7179},[],{"categories":7181},[503],{"categories":7183},[305],{"categories":7185},[305],{"categories":7187},[305],{"categories":7189},[346],{"categories":7191},[381,341],{"categories":7193},[384],{"categories":7195},[],{"categories":7197},[],{"categories":7199},[384],{"categories":7201},[],{"categories":7203},[384],{"categories":7205},[381],{"categories":7207},[346],{"categories":7209},[],{"categories":7211},[305],{"categories":7213},[333],{"categories":7215},[433],{"categories":7217},[],{"categories":7219},[333],{"categories":7221},[],{"categories":7223},[381],{"categories":7225},[336],{"categories":7227},[384],{"categories":7229},[],{"categories":7231},[305],{"categories":7233},[381],[7235,7313,7388,7514],{"id":7236,"title":7237,"ai":7238,"body":7244,"categories":7296,"created_at":306,"date_modified":306,"description":34,"extension":307,"faq":306,"featured":308,"kicker_label":306,"meta":7297,"navigation":51,"path":7301,"published_at":7302,"question":306,"scraped_at":7303,"seo":7304,"sitemap":7305,"source_id":7306,"source_name":320,"source_type":321,"source_url":7307,"stem":7308,"tags":7309,"thumbnail_url":306,"tldr":7310,"tweet":306,"unknown_tags":7311,"__hash__":7312},"summaries\u002Fsummaries\u002Fa250c756ca60ded3-why-python-problem-solving-beats-library-mastery-summary.md","Why Python Problem-Solving Beats Library Mastery",{"provider":7,"model":7239,"input_tokens":7240,"output_tokens":7241,"processing_time_ms":7242,"cost_usd":7243},"google\u002Fgemini-3.1-flash-lite",3924,370,2770,0.001536,{"type":14,"value":7245,"toc":7292},[7246,7250,7253,7257,7260,7289],[17,7247,7249],{"id":7248},"focus-on-operational-pain-points-over-technical-breadth","Focus on Operational Pain Points Over Technical Breadth",[22,7251,7252],{},"Most developers prioritize learning the latest libraries or frameworks, but this technical breadth often fails to translate into professional value. In a business context, the most significant opportunities lie in solving \"boring\" problems that directly impact the bottom line. Companies do not pay for code that is merely technically impressive; they pay for solutions to concrete operational friction.",[17,7254,7256],{"id":7255},"the-real-world-value-of-python","The Real-World Value of Python",[22,7258,7259],{},"Python’s true strength is not its hype or its ecosystem of libraries, but its utility as a tool for practical problem-solving. To become a more valuable developer, you should shift your focus toward identifying and resolving:",[7261,7262,7263,7271,7277,7283],"ul",{},[7264,7265,7266,7270],"li",{},[7267,7268,7269],"strong",{},"Workflow Inefficiencies:"," Identifying slow, manual processes that can be automated.",[7264,7272,7273,7276],{},[7267,7274,7275],{},"Data Integrity:"," Cleaning up messy data pipelines that hinder decision-making.",[7264,7278,7279,7282],{},[7267,7280,7281],{},"Infrastructure and Scaling:"," Addressing the \"chaos\" that occurs when systems grow beyond their initial design.",[7264,7284,7285,7288],{},[7267,7286,7287],{},"Automation Gaps:"," Fixing broken or brittle automation that causes repeated manual intervention.",[22,7290,7291],{},"By prioritizing the study of how systems fail and where they create bottlenecks, you move from being a developer who writes code to a builder who solves business-critical problems. This shift in mindset—from library-centric to problem-centric—is what distinguishes high-impact engineers.",{"title":34,"searchDepth":48,"depth":48,"links":7293},[7294,7295],{"id":7248,"depth":48,"text":7249},{"id":7255,"depth":48,"text":7256},[305],{"content_references":7298,"triage":7299},[],{"relevance":61,"novelty":55,"quality":61,"actionability":61,"composite":312,"reasoning":7300},"Category: Software Engineering. The article emphasizes the importance of focusing on operational pain points rather than just mastering libraries, which directly addresses the audience's need for practical applications in software engineering. It provides actionable insights on identifying workflow inefficiencies and data integrity issues, making it relevant for developers looking to enhance their problem-solving skills.","\u002Fsummaries\u002Fa250c756ca60ded3-why-python-problem-solving-beats-library-mastery-summary","2026-05-19 18:32:24","2026-05-20 23:00:20",{"title":7237,"description":34},{"loc":7301},"a250c756ca60ded3","https:\u002F\u002Fpython.plainenglish.io\u002Fmost-python-developers-learn-libraries-but-ignore-the-one-skill-that-actually-makes-them-valuable-9365467f6476?source=rss----78073def27b8---4","summaries\u002Fa250c756ca60ded3-why-python-problem-solving-beats-library-mastery-summary",[33,325,326],"The most valuable Python developers aren't those who memorize libraries, but those who focus on solving painful, real-world operational bottlenecks like broken automation and data messiness.",[325,326],"s7ko-JYohIaLub0V4l9afXCeSxGNVeODuMHNQMuO_28",{"id":7314,"title":7315,"ai":7316,"body":7321,"categories":7371,"created_at":306,"date_modified":306,"description":34,"extension":307,"faq":306,"featured":308,"kicker_label":306,"meta":7372,"navigation":51,"path":7376,"published_at":7377,"question":306,"scraped_at":7378,"seo":7379,"sitemap":7380,"source_id":7381,"source_name":320,"source_type":321,"source_url":7382,"stem":7383,"tags":7384,"thumbnail_url":306,"tldr":7385,"tweet":306,"unknown_tags":7386,"__hash__":7387},"summaries\u002Fsummaries\u002F3e54445a071a5fa9-9-subtle-python-pitfalls-experienced-devs-repeat-summary.md","9 Subtle Python Pitfalls Experienced Devs Repeat",{"provider":7,"model":8,"input_tokens":7317,"output_tokens":7318,"processing_time_ms":7319,"cost_usd":7320},3849,1211,16785,0.00135265,{"type":14,"value":7322,"toc":7367},[7323,7327,7330,7344,7354,7357,7361,7364],[17,7324,7326],{"id":7325},"performance-myths-that-slow-python-code","Performance Myths That Slow Python Code",[22,7328,7329],{},"Python feels responsive for small scripts, but scales poorly without care: a loop working fine on toy data spikes to 12 minutes from 2 seconds as inputs grow. The core error is treating Python as inherently fast, ignoring its interpreted nature. Instead, profile early—use tools like cProfile to spot bottlenecks before shipping.",[22,7331,7332,7335,7336,7339,7340,7343],{},[7267,7333,7334],{},"Replace loops with vectorization:"," NumPy or Pandas operations process arrays in C-speed, bypassing Python's loop overhead. For example, sum a list with ",[36,7337,7338],{},"np.sum(data)"," instead of ",[36,7341,7342],{},"for item in data: total += item",", cutting runtime by orders of magnitude on large datasets.",[22,7345,7346,7349,7350,7353],{},[7267,7347,7348],{},"Cache repeated computations:"," Avoid recalculating constants or intermediates; use ",[36,7351,7352],{},"@lru_cache"," from functools for memoization or dicts for simple lookups. This trades minor memory for massive speedups in recursive or iterative functions.",[22,7355,7356],{},"Trade-off: Vectorization shines for numerical data but adds dependency overhead; caching risks stale data if inputs change dynamically—invalidate explicitly.",[17,7358,7360],{"id":7359},"why-pros-still-fall-for-these","Why Pros Still Fall for These",[22,7362,7363],{},"After 4+ years of daily Python, developers don't fail from ignorance but overconfidence: you ship working prototypes without stress-testing scale. Subtle bugs emerge only on real data, eroding trust in your code. Counter this by adopting a 'slow Python is your fault' mindset—default to optimized patterns, test with 10x data volumes, and measure before optimizing.",[22,7365,7366],{},"This content previews one of nine errors but exemplifies the pattern: practical fixes grounded in hands-on pain, saving hours per project. Full list likely covers similar gotchas in scoping, mutability, and idioms.",{"title":34,"searchDepth":48,"depth":48,"links":7368},[7369,7370],{"id":7325,"depth":48,"text":7326},{"id":7359,"depth":48,"text":7360},[305],{"content_references":7373,"triage":7374},[],{"relevance":61,"novelty":55,"quality":61,"actionability":61,"composite":312,"reasoning":7375},"Category: Software Engineering. The article addresses common performance pitfalls in Python, which is relevant for developers looking to optimize their AI-powered products. It provides practical solutions like vectorization and caching, which can directly improve developer productivity.","\u002Fsummaries\u002F3e54445a071a5fa9-9-subtle-python-pitfalls-experienced-devs-repeat-summary","2026-04-19 08:53:34","2026-04-21 15:25:55",{"title":7315,"description":34},{"loc":7376},"3e54445a071a5fa9","https:\u002F\u002Fpython.plainenglish.io\u002F9-python-errors-developers-keep-repeating-d2379cde7519?source=rss----78073def27b8---4","summaries\u002F3e54445a071a5fa9-9-subtle-python-pitfalls-experienced-devs-repeat-summary",[33,325,326],"Experienced Python developers waste hours assuming the language is 'fast enough,' leading to scripts ballooning from 2 seconds to 12 minutes on larger data—fix by vectorizing loops and caching computations.",[325,326],"D6BfWXXnYUN_aVOPd5TFf-rmYi0MxOsUk1quDrvX99c",{"id":7389,"title":7390,"ai":7391,"body":7396,"categories":7496,"created_at":306,"date_modified":306,"description":34,"extension":307,"faq":306,"featured":308,"kicker_label":306,"meta":7497,"navigation":51,"path":7502,"published_at":7503,"question":306,"scraped_at":7504,"seo":7505,"sitemap":7506,"source_id":7507,"source_name":320,"source_type":321,"source_url":7508,"stem":7509,"tags":7510,"thumbnail_url":306,"tldr":7511,"tweet":306,"unknown_tags":7512,"__hash__":7513},"summaries\u002Fsummaries\u002Ff1a87c56b352d0a8-6-python-libs-to-master-codebase-complexity-summary.md","6 Python Libs to Master Codebase Complexity",{"provider":7,"model":8,"input_tokens":7392,"output_tokens":7393,"processing_time_ms":7394,"cost_usd":7395},5244,1487,21210,0.0017698,{"type":14,"value":7397,"toc":7490},[7398,7402,7409,7415,7426,7433,7437,7451,7454,7458,7469,7472,7483,7487],[17,7399,7401],{"id":7400},"visualize-execution-flows-and-dependencies-to-spot-architectural-flaws","Visualize Execution Flows and Dependencies to Spot Architectural Flaws",[22,7403,7404,7405,7408],{},"Run ",[36,7406,7407],{},"pycg --package my_project main.py"," to generate a JSON call graph (visualize with Graphviz) revealing function\u002Fmethod relationships, execution paths, and hidden dependencies—ideal for onboarding, refactoring legacy code, finding dead code, or exposing spaghetti architecture in 200+ module projects.",[22,7410,167,7411,7414],{},[36,7412,7413],{},"pydeps my_project"," for import dependency graphs that mirror system quality: messy graphs signal coupling issues, aiding monolith splits, circular import fixes, and cleaner designs. Dependency 'gravity'—one import pulling in chains like TensorFlow—becomes visible, preventing tangled systems.",[22,7416,7417,7418,7421,7422,7425],{},"Profile with ",[36,7419,7420],{},"cProfile.run('main()')"," then ",[36,7423,7424],{},"snakeviz program.prof"," for interactive sunburst charts showing time sinks, nested calls, and bottlenecks (e.g., JSON serialization over loops). This evidence-based approach trumps intuition, transforming performance debugging from guesswork to targeted fixes.",[22,7427,7428,7429,7432],{},"These tools reduce cognitive load on large codebases, turning black boxes like ",[36,7430,7431],{},"handle_request()"," into traceable flows and revealing problems like noodle-like graphs.",[17,7434,7436],{"id":7435},"quantify-complexity-to-prevent-unmaintainable-mazes","Quantify Complexity to Prevent Unmaintainable Mazes",[22,7438,7439,7440,7421,7443,7446,7447,7450],{},"Measure cyclomatic complexity with ",[36,7441,7442],{},"pip install radon",[36,7444,7445],{},"radon cc my_project -a"," for scores on functions\u002Fclasses—spot nested ifs like ",[36,7448,7449],{},"if data: if 'email' in data: if data['active']:"," that scale into mazes across 50 files.",[22,7452,7453],{},"Aggressively simplify before complexity compounds: high scores flag danger zones, enforcing the rule that code is read far more than written. This habit keeps functions readable without emotional support.",[17,7455,7457],{"id":7456},"parse-structure-and-leverage-ai-for-micro-optimizations","Parse Structure and Leverage AI for Micro-Optimizations",[22,7459,7460,7461,7464,7465,7468],{},"Python's built-in ",[36,7462,7463],{},"ast"," module turns code into inspectable trees: ",[36,7466,7467],{},"import ast; tree = ast.parse(open('app.py').read()); print(ast.dump(tree, indent=4))"," exposes functions, imports, classes, decorators for detecting anti-patterns, custom linters, auto-refactors, or structural analysis of repos.",[22,7470,7471],{},"Viewing code as structured data shifts perspective from text to grammar, powering advanced tools.",[22,7473,7474,7475,7478,7479,7482],{},"Install Sourcery for AI-driven insights: it refactors ",[36,7476,7477],{},"if len(items) == 0:"," to ",[36,7480,7481],{},"if not items:",", compounding readability gains across thousands of lines. Over time, it trains recognition of cleaner patterns, elevating skills beyond AI dependency.",[17,7484,7486],{"id":7485},"shift-from-writing-to-understanding-as-the-new-bottleneck","Shift from Writing to Understanding as the New Bottleneck",[22,7488,7489],{},"AI handles boilerplate, making codebase comprehension the differentiator: these libraries enable navigating complexity calmly—identifying weaknesses, debugging deps, refactoring safely. Start with one on a real project to uncover surprises, accelerating from chaos to systematic reasoning.",{"title":34,"searchDepth":48,"depth":48,"links":7491},[7492,7493,7494,7495],{"id":7400,"depth":48,"text":7401},{"id":7435,"depth":48,"text":7436},{"id":7456,"depth":48,"text":7457},{"id":7485,"depth":48,"text":7486},[336],{"content_references":7498,"triage":7499},[],{"relevance":67,"novelty":55,"quality":61,"actionability":61,"composite":7500,"reasoning":7501},4.15,"Category: Software Engineering. The article provides a detailed overview of specific Python libraries that help manage codebase complexity, addressing a key pain point for developers working with large codebases. It includes actionable commands and practical examples, making it easy for readers to implement the suggested tools.","\u002Fsummaries\u002Ff1a87c56b352d0a8-6-python-libs-to-master-codebase-complexity-summary","2026-05-14 08:55:52","2026-05-14 11:00:25",{"title":7390,"description":34},{"loc":7502},"f1a87c56b352d0a8","https:\u002F\u002Fpython.plainenglish.io\u002F6-python-libraries-that-help-you-understand-your-codebase-d62489654106?source=rss----78073def27b8---4","summaries\u002Ff1a87c56b352d0a8-6-python-libs-to-master-codebase-complexity-summary",[33,325,326],"PyCG maps calls, Radon scores complexity, SnakeViz profiles perf, Pydeps graphs deps, AST parses structure, Sourcery suggests fixes—decode large codebases systematically to refactor safely.",[325,326],"Q8S3iUiQ6eAv_j73vfSiaMVdeVKPeE32iGQN52yyRrE",{"id":7515,"title":7516,"ai":7517,"body":7522,"categories":8241,"created_at":306,"date_modified":306,"description":34,"extension":307,"faq":306,"featured":308,"kicker_label":306,"meta":8242,"navigation":51,"path":8255,"published_at":8256,"question":306,"scraped_at":8257,"seo":8258,"sitemap":8259,"source_id":8260,"source_name":8261,"source_type":321,"source_url":8262,"stem":8263,"tags":8264,"thumbnail_url":306,"tldr":8266,"tweet":306,"unknown_tags":8267,"__hash__":8268},"summaries\u002Fsummaries\u002F67f50b3dc45a432f-build-prod-ready-huey-task-queue-with-sqlite-summary.md","Build Prod-Ready Huey Task Queue with SQLite",{"provider":7,"model":8,"input_tokens":7518,"output_tokens":7519,"processing_time_ms":7520,"cost_usd":7521},9232,2848,16755,0.00297955,{"type":14,"value":7523,"toc":8232},[7524,7528,7539,7610,7617,7620,7694,7705,7709,7716,7812,7831,7834,7838,7841,7871,7878,7881,7915,7925,7929,7944,7947,7962,7965,8013,8020,8024,8027,8091,8102,8109,8115,8118,8122,8129,8134,8137,8141,8211,8216,8221,8230],[17,7525,7527],{"id":7526},"configure-lightweight-sqlite-huey-for-production-tasks","Configure Lightweight SQLite Huey for Production Tasks",[22,7529,7530,7531,7534,7535,7538],{},"Huey provides a Celery-like task queue but lighter, using SQLite as a file-based broker for zero-dependency setups. Start by installing ",[36,7532,7533],{},"huey"," and initializing ",[36,7536,7537],{},"SqliteHuey",":",[29,7540,7542],{"className":31,"code":7541,"language":33,"meta":34,"style":34},"!pip -q install -U huey\nimport os\nfrom huey import SqliteHuey\n\nDB_PATH = \"\u002Fcontent\u002Fhuey_demo.db\"\nif os.path.exists(DB_PATH): os.remove(DB_PATH)\nhuey = SqliteHuey(\n    name=\"colab-huey\",\n    filename=DB_PATH,\n    results=True,  # Store task results\n    store_none=False,\n    utc=True,\n)\n",[36,7543,7544,7549,7554,7559,7563,7568,7573,7578,7583,7588,7593,7598,7604],{"__ignoreMap":34},[39,7545,7546],{"class":41,"line":42},[39,7547,7548],{},"!pip -q install -U huey\n",[39,7550,7551],{"class":41,"line":48},[39,7552,7553],{},"import os\n",[39,7555,7556],{"class":41,"line":55},[39,7557,7558],{},"from huey import SqliteHuey\n",[39,7560,7561],{"class":41,"line":61},[39,7562,52],{"emptyLinePlaceholder":51},[39,7564,7565],{"class":41,"line":67},[39,7566,7567],{},"DB_PATH = \"\u002Fcontent\u002Fhuey_demo.db\"\n",[39,7569,7570],{"class":41,"line":73},[39,7571,7572],{},"if os.path.exists(DB_PATH): os.remove(DB_PATH)\n",[39,7574,7575],{"class":41,"line":78},[39,7576,7577],{},"huey = SqliteHuey(\n",[39,7579,7580],{"class":41,"line":84},[39,7581,7582],{},"    name=\"colab-huey\",\n",[39,7584,7585],{"class":41,"line":90},[39,7586,7587],{},"    filename=DB_PATH,\n",[39,7589,7590],{"class":41,"line":279},[39,7591,7592],{},"    results=True,  # Store task results\n",[39,7594,7595],{"class":41,"line":285},[39,7596,7597],{},"    store_none=False,\n",[39,7599,7601],{"class":41,"line":7600},12,[39,7602,7603],{},"    utc=True,\n",[39,7605,7607],{"class":41,"line":7606},13,[39,7608,7609],{},")\n",[22,7611,7612,7613,7616],{},"This creates a persistent queue in ",[36,7614,7615],{},"huey_demo.db",". Key principle: SQLite handles scheduling, results, and locking atomically, making it suitable for single-node production without Redis. Trade-off: Not distributed; scale via multiple consumers on shared DB (with WAL mode for concurrency). Assumes basic Python; fits early in async workflows before heavy infra.",[22,7618,7619],{},"Enable observability early with a global signal handler logging task events:",[29,7621,7623],{"className":31,"code":7622,"language":33,"meta":34,"style":34},"EVENT_LOG = []\n\n@huey.signal()\ndef _log_all_signals(signal, task, exc=None):\n    EVENT_LOG.append({\n        \"ts\": datetime.utcnow().isoformat() + \"Z\",\n        \"signal\": str(signal),\n        \"task\": getattr(task, \"name\", None),\n        \"id\": getattr(task, \"id\", None),\n        # ... args, kwargs, exc\n    })\n\ndef print_latest_events(n=10):\n    # Print formatted log\n",[36,7624,7625,7630,7634,7639,7644,7649,7654,7659,7664,7669,7674,7679,7683,7688],{"__ignoreMap":34},[39,7626,7627],{"class":41,"line":42},[39,7628,7629],{},"EVENT_LOG = []\n",[39,7631,7632],{"class":41,"line":48},[39,7633,52],{"emptyLinePlaceholder":51},[39,7635,7636],{"class":41,"line":55},[39,7637,7638],{},"@huey.signal()\n",[39,7640,7641],{"class":41,"line":61},[39,7642,7643],{},"def _log_all_signals(signal, task, exc=None):\n",[39,7645,7646],{"class":41,"line":67},[39,7647,7648],{},"    EVENT_LOG.append({\n",[39,7650,7651],{"class":41,"line":73},[39,7652,7653],{},"        \"ts\": datetime.utcnow().isoformat() + \"Z\",\n",[39,7655,7656],{"class":41,"line":78},[39,7657,7658],{},"        \"signal\": str(signal),\n",[39,7660,7661],{"class":41,"line":84},[39,7662,7663],{},"        \"task\": getattr(task, \"name\", None),\n",[39,7665,7666],{"class":41,"line":90},[39,7667,7668],{},"        \"id\": getattr(task, \"id\", None),\n",[39,7670,7671],{"class":41,"line":279},[39,7672,7673],{},"        # ... args, kwargs, exc\n",[39,7675,7676],{"class":41,"line":285},[39,7677,7678],{},"    })\n",[39,7680,7681],{"class":41,"line":7600},[39,7682,52],{"emptyLinePlaceholder":51},[39,7684,7685],{"class":41,"line":7606},[39,7686,7687],{},"def print_latest_events(n=10):\n",[39,7689,7691],{"class":41,"line":7690},14,[39,7692,7693],{},"    # Print formatted log\n",[22,7695,7696,7697,7700,7701,7704],{},"Signals fire on execution phases (e.g., ",[36,7698,7699],{},"task_executed",", ",[36,7702,7703],{},"task_error","). This captures IDs, args, exceptions for debugging—critical for production where logs reveal retry loops or deadlocks.",[17,7706,7708],{"id":7707},"design-tasks-with-retries-priorities-and-context-awareness","Design Tasks with Retries, Priorities, and Context Awareness",[22,7710,7711,7712,7715],{},"Tasks are decorated with ",[36,7713,7714],{},"@huey.task()"," and configured for real workloads. Priorities (0-100, higher first) ensure urgent jobs like error alerts run before batch processing. Retries handle flakiness:",[29,7717,7719],{"className":31,"code":7718,"language":33,"meta":34,"style":34},"@huey.task(priority=50)\ndef quick_add(a, b): return a + b\n\n@huey.task(priority=10)\ndef slow_io(seconds=1.0): time.sleep(seconds); return f\"slept={seconds}\"\n\n@huey.task(retries=3, retry_delay=1, priority=100)\ndef flaky_network_call(p_fail=0.6):\n    if random.random() \u003C p_fail:\n        raise RuntimeError(\"Transient failure\")\n    return \"OK\"\n\n@huey.task(context=True, priority=60)\ndef cpu_pi_estimate(samples=200_000, task=None):\n    # Monte Carlo pi approx\n    inside = sum(1 for _ in range(samples) if random()**2 + random()**2 \u003C= 1)\n    est = 4.0 * inside \u002F samples\n    return {\"task_id\": task.id if task else None, \"pi_estimate\": est}\n",[36,7720,7721,7726,7731,7735,7740,7745,7749,7754,7759,7764,7769,7774,7778,7783,7788,7794,7800,7806],{"__ignoreMap":34},[39,7722,7723],{"class":41,"line":42},[39,7724,7725],{},"@huey.task(priority=50)\n",[39,7727,7728],{"class":41,"line":48},[39,7729,7730],{},"def quick_add(a, b): return a + b\n",[39,7732,7733],{"class":41,"line":55},[39,7734,52],{"emptyLinePlaceholder":51},[39,7736,7737],{"class":41,"line":61},[39,7738,7739],{},"@huey.task(priority=10)\n",[39,7741,7742],{"class":41,"line":67},[39,7743,7744],{},"def slow_io(seconds=1.0): time.sleep(seconds); return f\"slept={seconds}\"\n",[39,7746,7747],{"class":41,"line":73},[39,7748,52],{"emptyLinePlaceholder":51},[39,7750,7751],{"class":41,"line":78},[39,7752,7753],{},"@huey.task(retries=3, retry_delay=1, priority=100)\n",[39,7755,7756],{"class":41,"line":84},[39,7757,7758],{},"def flaky_network_call(p_fail=0.6):\n",[39,7760,7761],{"class":41,"line":90},[39,7762,7763],{},"    if random.random() \u003C p_fail:\n",[39,7765,7766],{"class":41,"line":279},[39,7767,7768],{},"        raise RuntimeError(\"Transient failure\")\n",[39,7770,7771],{"class":41,"line":285},[39,7772,7773],{},"    return \"OK\"\n",[39,7775,7776],{"class":41,"line":7600},[39,7777,52],{"emptyLinePlaceholder":51},[39,7779,7780],{"class":41,"line":7606},[39,7781,7782],{},"@huey.task(context=True, priority=60)\n",[39,7784,7785],{"class":41,"line":7690},[39,7786,7787],{},"def cpu_pi_estimate(samples=200_000, task=None):\n",[39,7789,7791],{"class":41,"line":7790},15,[39,7792,7793],{},"    # Monte Carlo pi approx\n",[39,7795,7797],{"class":41,"line":7796},16,[39,7798,7799],{},"    inside = sum(1 for _ in range(samples) if random()**2 + random()**2 \u003C= 1)\n",[39,7801,7803],{"class":41,"line":7802},17,[39,7804,7805],{},"    est = 4.0 * inside \u002F samples\n",[39,7807,7809],{"class":41,"line":7808},18,[39,7810,7811],{},"    return {\"task_id\": task.id if task else None, \"pi_estimate\": est}\n",[22,7813,7814,7815,7818,7819,7822,7823,7826,7827,7830],{},"Principles: Assign high priority + retries to unreliable external calls (APIs, DB writes). Use ",[36,7816,7817],{},"context=True"," to inject ",[36,7820,7821],{},"task"," object for metadata like ID—avoids re-fetching from storage. Common mistake: Forgetting ",[36,7824,7825],{},"utc=True"," leads to timezone bugs in scheduling. Test with ",[36,7828,7829],{},"task(blocking=True, timeout=5)"," to simulate sync calls.",[22,7832,7833],{},"Before: Naive functions crash on failure. After: Retries succeed 40% of flaky calls; priorities order mixed queues correctly.",[17,7835,7837],{"id":7836},"prevent-races-with-locks-and-orchestrate-pipelines","Prevent Races with Locks and Orchestrate Pipelines",[22,7839,7840],{},"Locks serialize critical sections, e.g., daily syncs:",[29,7842,7844],{"className":31,"code":7843,"language":33,"meta":34,"style":34},"@huey.lock_task(\"demo:daily-sync\")\n@huey.task()\ndef locked_sync_job(tag=\"sync\"):\n    time.sleep(1.0)\n    return f\"locked-job-done:{tag}:{datetime.utcnow().isoformat()}Z\"\n",[36,7845,7846,7851,7856,7861,7866],{"__ignoreMap":34},[39,7847,7848],{"class":41,"line":42},[39,7849,7850],{},"@huey.lock_task(\"demo:daily-sync\")\n",[39,7852,7853],{"class":41,"line":48},[39,7854,7855],{},"@huey.task()\n",[39,7857,7858],{"class":41,"line":55},[39,7859,7860],{},"def locked_sync_job(tag=\"sync\"):\n",[39,7862,7863],{"class":41,"line":61},[39,7864,7865],{},"    time.sleep(1.0)\n",[39,7867,7868],{"class":41,"line":67},[39,7869,7870],{},"    return f\"locked-job-done:{tag}:{datetime.utcnow().isoformat()}Z\"\n",[22,7872,7873,7874,7877],{},"Key: Lock key (",[36,7875,7876],{},"\"demo:daily-sync\"",") is global; concurrent enqueues wait. Expires implicitly on success\u002Ffail.",[22,7879,7880],{},"Pipelines chain tasks dependently:",[29,7882,7884],{"className":31,"code":7883,"language":33,"meta":34,"style":34},"fetch = huey.task()(lambda seed: random.randint(1,100))\ntransform = huey.task()(lambda x, scale: x * scale)\nstore = huey.task()(lambda x: {\"stored\": x})\n\npipeline = (fetch.s(7).then(transform.s(3)).then(store.s()))\nhuey.enqueue(pipeline)\n",[36,7885,7886,7891,7896,7901,7905,7910],{"__ignoreMap":34},[39,7887,7888],{"class":41,"line":42},[39,7889,7890],{},"fetch = huey.task()(lambda seed: random.randint(1,100))\n",[39,7892,7893],{"class":41,"line":48},[39,7894,7895],{},"transform = huey.task()(lambda x, scale: x * scale)\n",[39,7897,7898],{"class":41,"line":55},[39,7899,7900],{},"store = huey.task()(lambda x: {\"stored\": x})\n",[39,7902,7903],{"class":41,"line":61},[39,7904,52],{"emptyLinePlaceholder":51},[39,7906,7907],{"class":41,"line":67},[39,7908,7909],{},"pipeline = (fetch.s(7).then(transform.s(3)).then(store.s()))\n",[39,7911,7912],{"class":41,"line":73},[39,7913,7914],{},"huey.enqueue(pipeline)\n",[22,7916,7917,7920,7921,7924],{},[36,7918,7919],{},".s()"," creates signatures; ",[36,7922,7923],{},".then()"," wires output-to-input. Principle: Use for ETL (extract-transform-load); fails fast if upstream errors. Mistake: Mutable shared state breaks isolation—pass data explicitly. Quality check: Pipeline result holds final output; intermediates queryable via ID.",[17,7926,7928],{"id":7927},"schedule-one-offs-periodic-jobs-and-heartbeats","Schedule One-Offs, Periodic Jobs, and Heartbeats",[22,7930,7931,7932,7935,7936,7939,7940,7943],{},"Delay execution: ",[36,7933,7934],{},"task.schedule(delay=3)"," or ",[36,7937,7938],{},"eta=datetime",". Revoke with ",[36,7941,7942],{},".revoke()"," before run.",[22,7945,7946],{},"Periodic via crontab:",[29,7948,7950],{"className":31,"code":7949,"language":33,"meta":34,"style":34},"@huey.periodic_task(crontab(minute=\"*\"))\ndef heartbeat_minutely(): print(\"Minute tick\")\n",[36,7951,7952,7957],{"__ignoreMap":34},[39,7953,7954],{"class":41,"line":42},[39,7955,7956],{},"@huey.periodic_task(crontab(minute=\"*\"))\n",[39,7958,7959],{"class":41,"line":48},[39,7960,7961],{},"def heartbeat_minutely(): print(\"Minute tick\")\n",[22,7963,7964],{},"Sub-minute simulation with timer (not native Huey):",[29,7966,7968],{"className":31,"code":7967,"language":33,"meta":34,"style":34},"TICK = {\"count\": 0}\n@huey.task()\ndef heartbeat(): TICK[\"count\"] += 1; print(f\"tick={TICK['count']}\")\n\ndef start_seconds_heartbeat(interval=15):\n    def _tick():\n        if running: huey.enqueue(heartbeat.s())\n        threading.Timer(interval, _tick).start()\n    _tick()\n",[36,7969,7970,7975,7979,7984,7988,7993,7998,8003,8008],{"__ignoreMap":34},[39,7971,7972],{"class":41,"line":42},[39,7973,7974],{},"TICK = {\"count\": 0}\n",[39,7976,7977],{"class":41,"line":48},[39,7978,7855],{},[39,7980,7981],{"class":41,"line":55},[39,7982,7983],{},"def heartbeat(): TICK[\"count\"] += 1; print(f\"tick={TICK['count']}\")\n",[39,7985,7986],{"class":41,"line":61},[39,7987,52],{"emptyLinePlaceholder":51},[39,7989,7990],{"class":41,"line":67},[39,7991,7992],{},"def start_seconds_heartbeat(interval=15):\n",[39,7994,7995],{"class":41,"line":73},[39,7996,7997],{},"    def _tick():\n",[39,7999,8000],{"class":41,"line":78},[39,8001,8002],{},"        if running: huey.enqueue(heartbeat.s())\n",[39,8004,8005],{"class":41,"line":84},[39,8006,8007],{},"        threading.Timer(interval, _tick).start()\n",[39,8009,8010],{"class":41,"line":90},[39,8011,8012],{},"    _tick()\n",[22,8014,8015,8016,8019],{},"Principle: Crontab for cron-like reliability; timers for demos. Consumer must have ",[36,8017,8018],{},"periodic=True",". Trade-off: SQLite polls efficiently but locks on high-frequency schedules.",[17,8021,8023],{"id":8022},"run-multi-worker-consumer-and-validate-full-system","Run Multi-Worker Consumer and Validate Full System",[22,8025,8026],{},"Launch threaded consumer (Colab-friendly):",[29,8028,8030],{"className":31,"code":8029,"language":33,"meta":34,"style":34},"consumer = huey.create_consumer(\n    workers=4,\n    worker_type=WORKER_THREAD,\n    periodic=True,\n    initial_delay=0.1,\n    backoff=1.15, max_delay=2.0,\n    scheduler_interval=1,\n    check_worker_health=True,\n    health_check_interval=10,\n)\nconsumer_thread = threading.Thread(target=consumer.run, daemon=True)\nconsumer_thread.start()\n",[36,8031,8032,8037,8042,8047,8052,8057,8062,8067,8072,8077,8081,8086],{"__ignoreMap":34},[39,8033,8034],{"class":41,"line":42},[39,8035,8036],{},"consumer = huey.create_consumer(\n",[39,8038,8039],{"class":41,"line":48},[39,8040,8041],{},"    workers=4,\n",[39,8043,8044],{"class":41,"line":55},[39,8045,8046],{},"    worker_type=WORKER_THREAD,\n",[39,8048,8049],{"class":41,"line":61},[39,8050,8051],{},"    periodic=True,\n",[39,8053,8054],{"class":41,"line":67},[39,8055,8056],{},"    initial_delay=0.1,\n",[39,8058,8059],{"class":41,"line":73},[39,8060,8061],{},"    backoff=1.15, max_delay=2.0,\n",[39,8063,8064],{"class":41,"line":78},[39,8065,8066],{},"    scheduler_interval=1,\n",[39,8068,8069],{"class":41,"line":84},[39,8070,8071],{},"    check_worker_health=True,\n",[39,8073,8074],{"class":41,"line":90},[39,8075,8076],{},"    health_check_interval=10,\n",[39,8078,8079],{"class":41,"line":279},[39,8080,7609],{},[39,8082,8083],{"class":41,"line":285},[39,8084,8085],{},"consumer_thread = threading.Thread(target=consumer.run, daemon=True)\n",[39,8087,8088],{"class":41,"line":7600},[39,8089,8090],{},"consumer_thread.start()\n",[22,8092,8093,8094,7700,8097,7700,8099,112],{},"Demos enqueue mixed tasks, block for results, test retries (flaky succeeds after 3 tries), locks (3 jobs serialize), pipelines (7 -> 21 -> stored), schedules (delay+revoke). Print events: Reveals ",[36,8095,8096],{},"task_enqueued",[36,8098,7699],{},[36,8100,8101],{},"retrying",[22,8103,8104,8105,8108],{},"Shutdown: ",[36,8106,8107],{},"consumer.stop(graceful=True)"," drains queue. Mistake: Abrupt kill loses in-flight tasks—graceful waits for completion.",[8110,8111,8112],"blockquote",{},[22,8113,8114],{},"\"We start a threaded consumer inside the notebook to process tasks asynchronously. We enqueue tasks, test retries, demonstrate scheduling and revocation, execute pipelines, and observe logged signals.\"",[22,8116,8117],{},"Quality: Events log confirms ordering, retries; results match expectations (pi ~3.14, locked tags sequential).",[17,8119,8121],{"id":8120},"scale-to-production-from-notebook-to-deployment","Scale to Production: From Notebook to Deployment",[22,8123,8124,8125,8128],{},"Notebook proves concepts self-contained. Production: Run consumer as service (Docker, systemd), shared SQLite (enable WAL: ",[36,8126,8127],{},"PRAGMA journal_mode=WAL;","), monitor DB size\u002Fgrowth. Extend: Multiple DBs per app, migrate to PostgresHuey for sharding. Fits indie\u002FSaaS backends needing async email, reports without Redis ops overhead.",[8110,8130,8131],{},[22,8132,8133],{},"\"Through this approach, we gained a clear understanding of how to use Huey to manage background workloads efficiently and extend this architecture to real-world production deployments.\"",[22,8135,8136],{},"Prerequisites: Python threading knowledge; post-DB basics. Practice: Copy notebook, add your tasks, scale workers=8, measure throughput.",[17,8138,8140],{"id":8139},"key-takeaways","Key Takeaways",[7261,8142,8143,8153,8164,8177,8187,8202,8205,8208],{},[7264,8144,8145,8146,8148,8149,8152],{},"Initialize ",[36,8147,7537],{}," with ",[36,8150,8151],{},"results=True, utc=True"," for persistent, timezone-safe queues—no Redis needed.",[7264,8154,8155,8156,8159,8160,8163],{},"Always attach ",[36,8157,8158],{},"@huey.signal()"," handlers for full lifecycle logging; query ",[36,8161,8162],{},"EVENT_LOG"," to debug races\u002Fretries.",[7264,8165,8166,8167,7700,8170,7700,8173,8176],{},"Set ",[36,8168,8169],{},"priority",[36,8171,8172],{},"retries=3",[36,8174,8175],{},"retry_delay=1"," on flaky tasks; higher priority pulls them forward in queues.",[7264,8178,167,8179,8182,8183,8186],{},[36,8180,8181],{},"@huey.lock_task(unique_key)"," for mutexes; pipelines with ",[36,8184,8185],{},".s().then()"," for dependent workflows.",[7264,8188,8189,8190,8193,8194,8197,8198,8201],{},"Schedule via ",[36,8191,8192],{},"delay","\u002F ",[36,8195,8196],{},"crontab","; revoke pending tasks; run ",[36,8199,8200],{},"workers=4, periodic=True"," consumer threaded.",[7264,8203,8204],{},"Gracefully stop consumers; test blocking calls with timeouts to validate end-to-end.",[7264,8206,8207],{},"Common pitfall: Shared mutable state—pass args explicitly; monitor DB locks under load.",[7264,8209,8210],{},"Production tip: WAL mode for SQLite concurrency; start with notebook, deploy via supervisor.",[8110,8212,8213],{},[22,8214,8215],{},"\"By doing this, we establish a lightweight yet production-style task queue setup without external dependencies.\"",[8110,8217,8218],{},[22,8219,8220],{},"\"We track execution details, including task IDs, arguments, and exceptions, to improve observability.\"",[22,8222,8223,8224],{},"Full notebook: ",[8225,8226,8227],"a",{"href":8227,"rel":8228},"https:\u002F\u002Fgithub.com\u002FMarktechpost\u002FAI-Agents-Projects-Tutorials\u002Fblob\u002Fmain\u002FDistributed%20Systems\u002Fhuey_async_tasks_Marktechpost.ipynb",[8229],"nofollow",[296,8231,298],{},{"title":34,"searchDepth":48,"depth":48,"links":8233},[8234,8235,8236,8237,8238,8239,8240],{"id":7526,"depth":48,"text":7527},{"id":7707,"depth":48,"text":7708},{"id":7836,"depth":48,"text":7837},{"id":7927,"depth":48,"text":7928},{"id":8022,"depth":48,"text":8023},{"id":8120,"depth":48,"text":8121},{"id":8139,"depth":48,"text":8140},[305],{"content_references":8243,"triage":8252},[8244,8249],{"type":8245,"title":8246,"url":8247,"context":8248},"tool","Huey","https:\u002F\u002Fgithub.com\u002Fcoleifer\u002Fhuey","recommended",{"type":8250,"title":8251,"url":8227,"context":8248},"other","Full Coding Notebook\u002FImplementation",{"relevance":67,"novelty":61,"quality":61,"actionability":67,"composite":8253,"reasoning":8254},4.55,"Category: AI Automation. The article provides a detailed, step-by-step guide on building a production-ready task queue using Huey and SQLite, addressing practical automation needs for developers. It includes specific code examples and configurations that the audience can implement directly in their projects.","\u002Fsummaries\u002F67f50b3dc45a432f-build-prod-ready-huey-task-queue-with-sqlite-summary","2026-04-17 20:18:31","2026-04-19 01:22:39",{"title":7516,"description":34},{"loc":8255},"67f50b3dc45a432f","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F04\u002F17\u002Fa-coding-guide-to-build-a-production-grade-background-task-processing-system-using-huey-with-sqlite-scheduling-retries-pipelines-and-concurrency-control\u002F","summaries\u002F67f50b3dc45a432f-build-prod-ready-huey-task-queue-with-sqlite-summary",[33,8265,325,326],"automation","Step-by-step code to create a self-contained background task system using Huey + SQLite: handle retries, priorities, pipelines, locking, scheduling, and monitoring—all runnable in a Colab notebook without Redis.",[325,326],"rn09DXi3mInjlTZtRAN7VEa1krjWE4UzDMI0pNgjZIk"]