{"id":1246,"date":"2026-05-25T20:00:48","date_gmt":"2026-05-25T12:00:48","guid":{"rendered":"https:\/\/leak1.cc\/wp\/?p=1246"},"modified":"2026-05-25T20:00:50","modified_gmt":"2026-05-25T12:00:50","slug":"python%e5%85%a8%e8%83%bd%e5%b7%a5%e7%a8%8b%e5%b8%882024%e7%89%88","status":"publish","type":"post","link":"https:\/\/leak1.cc\/wp\/it\/python%e5%85%a8%e8%83%bd%e5%b7%a5%e7%a8%8b%e5%b8%882024%e7%89%88\/","title":{"rendered":"Python\u5168\u80fd\u5de5\u7a0b\u5e082024\u7248"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.92ydl.com\/wp-content\/uploads\/2025\/09\/1758210941-78805a221a988e7-1024x302.png\" alt=\"\"\/><\/figure>\n\n\n<p>\u251c\u2500\u7b2c10\u5468 Bootstrap \u6846\u67b6\u524d\u7aef\u9875\u9762\u5e03\u5c40\u5b9e\u6218<br \/>\u2502 \u251c\u25001-BootStrap&#8211;\u7f51\u9875\u5feb\u901f\u5e03\u5c40\u6846\u67b6<br \/>\u2502 \u2502 \u251c\u2500\u7b2c1\u7ae0 \u8bfe\u7a0b\u4ecb\u7ecd<br \/>\u2502 \u2502 \u2502 1-1 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\u3010\u5b66\u4e60\u4efb\u52a1\u3011\u8ba1\u7b97\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u6240\u6709\u7684\u5143\u7d20\u548c\uff0c\u6bcf\u5217\u7684\u548c\u53ca\u6bcf\u884c\u7684\u548c.pdf<br \/>\u2502 \u2502 1-13 NumPy cumsum()\u51fd\u6570.pdf<br \/>\u2502 \u2502 1-14 NumPy cumprod()\u51fd\u6570.pdf<br \/>\u2502 \u2502 1-15 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u9152\u9b3c\u6f2b\u6b65.pdf<br \/>\u2502 \u2502 1-3 \u9009\u62e9\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 1-6 \u9009\u62e9\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 1-7 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u751f\u6210\u4e00\u4e2a\u8fb9\u754c\u5168\u4e3a1\uff0c\u91cc\u9762\u5168\u4e3a0\u7684\u77e9\u9635.pdf<br \/>\u2502 \u2502 1-9 \u3010\u5b66\u4e60\u4efb\u52a1\u3011NumPy\u8ba1\u7b97\u957f\u65b9\u4f53\u7684\u4f53\u79ef.pdf<br \/>\u2502 \u2502 <br \/>\u2502 \u251c\u2500\u7b2c2\u7ae0 \u6570\u636e\u5206\u6790\u5e93Pandas<br \/>\u2502 \u2502 2-3 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u8ba1\u7b97\u6bcf\u79d1\u7684\u5e73\u5747\u5206\u53ca\u6bcf\u4e2a\u5b66\u751f\u7684\u603b\u6210\u7ee9.pdf<br \/>\u2502 \u2502 2-6 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u7528random.randn()\u751f\u6210\u6570\u636e\u5e76\u753b\u51fa\u6298\u7ebf\u56fe\u53ca\u6a2a\u5411\u6761\u5f62\u56fe.pdf<br \/>\u2502 \u2502 <br \/>\u2502 \u251c\u2500\u7b2c4\u7ae0 \u8bfe\u7a0b\u603b\u7ed3<br \/>\u2502 \u2502 4-1 \u8bfe\u7a0b\u603b\u7ed3.mp4<br \/>\u2502 \u2502 4-2 \u3010\u8ba8\u8bba\u9898\u3011\u94f6\u884c\u5ba2\u6237\u6d41\u5931\u6570\u636e.pdf<br \/>\u2502 \u2502 <br \/>\u2502 \u2514\u2500\u9644\u4ef6<br \/>\u2502 01-numpy.zip<br \/>\u2502 02-Pandas.zip<br \/>\u2502 03-EDA-Practice.zip<br \/>\u2502 <br \/>\u251c\u2500\u7b2c23\u5468 \u6570\u636e\u5206\u6790\u8fdb\u9636\uff1a\u6570\u636e\u53ef\u89c6\u5316<br \/>\u2502 \u251c\u25001-\u6570\u636e\u53ef\u89c6\u5316\u4e4b Matplotlib<br \/>\u2502 \u2502 \u251c\u2500\u7b2c1\u7ae0 \u8bfe\u7a0b\u4ecb\u7ecd<br \/>\u2502 \u2502 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\/>\u2502 \u2502 \u2502 3-2 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u63a2\u7d22\u4eba\u5747\u5bff\u547d\u548cGDP\u7684\u76f8\u5173\u6027.pdf<br \/>\u2502 \u2502 \u2502 3-4 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u7ed8\u5236\u5929\u6c14\u70ed\u529b\u56fe.pdf<br \/>\u2502 \u2502 \u2502 3-6 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u7ed8\u5236\u4eba\u5747GDP\u76f4\u65b9\u56fe\u548c\u4eba\u5747\u5bff\u547d\u7bb1\u578b\u56fe.pdf<br \/>\u2502 \u2502 \u2502 3-8 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u89c2\u5bdf\u6211\u56fd\u8fd130\u5e74\u4eba\u53e3\u7684\u53d8\u5316.pdf<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u251c\u2500\u7b2c4\u7ae0 \u8bfe\u7a0b\u603b\u7ed3<br \/>\u2502 \u2502 \u2502 4-1 \u8bfe\u7a0b\u603b\u7ed3.mp4<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u2514\u2500\u9644\u4ef6<br \/>\u2502 \u2502 01-Matplotlib.zip<br \/>\u2502 \u2502 matplotlib.pdf<br \/>\u2502 \u2502 \u6570\u636e\u5206\u6790\u6838\u5fc3\u5e93.pdf<br \/>\u2502 \u2502 \u6570\u636e\u5206\u6790\u8ba4\u77e5.pdf<br \/>\u2502 \u2502 <br \/>\u2502 \u2514\u25002-\u6570\u636e\u53ef\u89c6\u5316\u4e4b Seaborn<br \/>\u2502 \u251c\u2500\u7b2c1\u7ae0 \u8bfe\u7a0b\u4ecb\u7ecd<br \/>\u2502 \u2502 1-1 \u8bfe\u7a0b\u4ecb\u7ecd.mp4<br \/>\u2502 \u2502 <br \/>\u2502 \u251c\u2500\u7b2c2\u7ae0 \u8ba4\u8bc6Seaborn\u53ef\u89c6\u5316\u5e93<br \/>\u2502 \u2502 2-3 \u3010\u5b66\u4e60\u4efb\u52a1\u3011Seaborn\u4e0b\u8f7d\u6570\u636e\u96c6\u5931\u8d25\u600e\u4e48\u529e\uff1f.pdf<br \/>\u2502 \u2502 <br \/>\u2502 \u251c\u2500\u7b2c3\u7ae0 Seaborn\u7ed8\u56fe<br \/>\u2502 \u2502 3-2 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u7ed8\u5236\u6d41\u884c\u6b4c\u66f2\u7684\u6bcf\u65e5\u5168\u7403\u64ad\u653e\u91cf\u6298\u7ebf\u56fe.pdf<br \/>\u2502 \u2502 3-6 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u4ec0\u4e48\u6837\u7684\u4eba\u7fa4\u4fdd\u9669\u8d39\u7528\u5e94\u8be5\u9ad8\u4e00\u4e9b\uff1f.pdf<br \/>\u2502 \u2502 3-8 \u3010\u9879\u76ee\u4f5c\u4e1a\u3011\u9e22\u5c3e\u82b1\u6570\u636e\u5206\u6790.pdf<br \/>\u2502 \u2502 <br \/>\u2502 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\u2514\u2500\u7b2c2\u7ae0 \u7efc\u5408\u5c31\u4e1a\u6307\u5bfc<br \/>\u2502 2-1 \u7efc\u5408\u5c31\u4e1a\u6307\u5bfc.pdf<br \/>\u2502 2-2 \u3010\u8ba8\u8bba\u9898\u3011\u4e03\u9636\u6bb5\u901a\u5173\u6253\u5361.pdf<br \/>\u2502 <br \/>\u251c\u2500\u7b2c28~29\u5468 Python \u591a\u7ef4\u5ea6\u5165\u95e8\u4eba\u5de5\u667a\u80fd&#8211;\u673a\u5668\u5b66\u4e60<br \/>\u2502 \u2514\u25001-\u591a\u7ef4\u5ea6\u5165\u95e8\u4eba\u5de5\u667a\u80fd&#8211;\u673a\u5668\u5b66\u4e60<br \/>\u2502 \u2514\u2500\u9644\u4ef6<br \/>\u2502 Anaconda3-2019.10-Windows-x86_64.10Windowsx86_64<br \/>\u2502 Anaconda3-2020.02-MacOSX-x86_64.02MacOSXx86_64<br \/>\u2502 Artificial_Intelligence.rar<br \/>\u2502 code.zip<br \/>\u2502 data.zip<br \/>\u2502 datasets.zip<br \/>\u2502 models.zip<br \/>\u2502 requirements.txt<br \/>\u2502 \u73af\u5883\u914d\u7f6e\u53ca\u8f6f\u4ef6\u5b89\u88c5\u5e38.pdf<br \/>\u2502 <br \/>\u251c\u2500\u7b2c2~3\u5468 \u6df1\u5165\u7f16\u7a0b\u5e95\u5c42\u539f\u7406\u4e0e Python \u5de5\u7a0b\u5f00\u53d1\u6269\u5c55\u5e93<br \/>\u2502 \u251c\u25001-\u6df1\u5165\u5f00\u53d1\u601d\u60f3\u548c\u7f16\u7a0b\u5e95\u5c42\u539f\u7406<br \/>\u2502 \u2502 \u251c\u2500\u7b2c1\u7ae0 \u8bfe\u7a0b\u4ecb\u7ecd<br \/>\u2502 \u2502 \u2502 1-1 \u8bfe\u7a0b\u4ecb\u7ecd.mp4<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u251c\u2500\u7b2c2\u7ae0 \u7406\u89e3\u88c5\u9970\u5668\u7684\u539f\u7406<br \/>\u2502 \u2502 \u2502 2-1 \u88c5\u9970\u5668\u7684\u524d\u63d0\uff0c\u4ec0\u4e48\u662f\u95ed\u5305\uff1f.mp4<br \/>\u2502 \u2502 \u2502 2-2 \u88c5\u9970\u51fd\u6570\u7684\u51fd\u6570\uff0c\u5373\u88c5\u9970\u5668.mp4<br \/>\u2502 \u2502 \u2502 2-3 \u88c5\u9970\u5668\u51fd\u6570\u4e2d\u7684\u53c2\u6570\u4f20\u9012.mp4<br \/>\u2502 \u2502 \u2502 2-4 \u3010\u6848\u4f8b\u3011\u57fa\u4e8e\u751f\u4ea7\u8005\u4e0e\u6d88\u8d39\u8005\u6848\u4f8b\uff0c\u7406\u89e3 yield \u5173\u952e\u5b57\u4e0e\u751f\u6210\u5668\u5bf9\u8c61.mp4<br \/>\u2502 \u2502 \u2502 2-5 \u3010\u6848\u4f8b\u3011\u57fa\u4e8e\u88c5\u9970\u5668\u5b9e\u73b0\u9f9f\u5154\u8d5b\u8dd1\u6848\u4f8b.mp4<br \/>\u2502 \u2502 \u2502 2-6 \u7f16\u7a0b\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u251c\u2500\u7b2c3\u7ae0 \u4ece\u9700\u6c42\u51fa\u53d1\uff0c\u638c\u63e1\u51fd\u6570\u5f0f\u7f16\u7a0b<br \/>\u2502 \u2502 \u2502 3-1 \u3010\u9700\u6c42\u4e00\u3011\u5546\u54c1\u79d2\u6740\u6298\u6263\u6392\u884c\u699c.mp4<br \/>\u2502 \u2502 \u2502 3-10 \u8fc7\u6ee4\u5668\u7684\u7406\u89e3\u4e0e\u5b9e\u73b0.mp4<br \/>\u2502 \u2502 \u2502 3-11 \u7f16\u7a0b\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 \u2502 3-2 \u3010\u6848\u4f8b\u3011\u5546\u54c1\u79d2\u6740\u6298\u6263\u6392\u884c\u699c\u4ee3\u7801\u5b9e\u73b0.mp4<br \/>\u2502 \u2502 \u2502 3-3 \u7f16\u7a0b\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 \u2502 3-4 \u3010\u9700\u6c42\u4e8c\u3011\u82f1\u96c4\u4e0e\u88c5\u5907.mp4<br \/>\u2502 \u2502 \u2502 3-5 \u3010\u6848\u4f8b\u3011\u82f1\u96c4\u4e0e\u88c5\u5907\u7684\u4ee3\u7801\u5b9e\u73b0.mp4<br \/>\u2502 \u2502 \u2502 3-6 \u7f16\u7a0b\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 \u2502 3-7 \u3010\u9700\u6c42\u4e09\u3011\u6590\u6ce2\u90a3\u5951\u6570\u5217\u7684\u6c42\u548c.mp4<br \/>\u2502 \u2502 \u2502 3-8 \u3010\u6848\u4f8b\u3011\u6590\u6ce2\u90a3\u5951\u6570\u5217\u6c42\u548c\u7684\u4ee3\u7801\u5b9e\u73b0.mp4<br \/>\u2502 \u2502 \u2502 3-9 \u7f16\u7a0b\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u251c\u2500\u7b2c4\u7ae0 \u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\uff0c\u6309\u7167\u73b0\u5b9e\u4e16\u754c\u7684\u601d\u7ef4\u65b9\u5f0f\u6784\u5efa\u8f6f\u4ef6\u7cfb\u7edf<br \/>\u2502 \u2502 \u2502 4-1 \u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\u7684\u6838\u5fc3\u7406\u5ff5\u53ca\u7279\u5f81.mp4<br \/>\u2502 \u2502 \u2502 4-10 \u8fdb\u5316\u7684\u89d2\u5ea6\u7406\u89e3\u7c7b\u7684\u591a\u6001.mp4<br \/>\u2502 \u2502 \u2502 4-11 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u9762\u5411\u5bf9\u8c61\u5b9e\u73b0\u94f6\u884c\u8d26\u6237\u7684\u8d44\u91d1\u4ea4\u6613\u7ba1\u7406.pdf<br \/>\u2502 \u2502 \u2502 4-12 \u3010\u907f\u5751\u6307\u5357\u3011\u9762\u5411\u5bf9\u8c61.pdf<br \/>\u2502 \u2502 \u2502 4-2 \u9762\u5411\u8fc7\u7a0b\u4e0e\u9762\u5411\u5bf9\u8c61\u7684\u533a\u522b.pdf<br \/>\u2502 \u2502 \u2502 4-3 \u3010\u6848\u4f8b\u3011\u5927\u96c1\u662f\u4e00\u7c7b\u52a8\u7269.mp4<br \/>\u2502 \u2502 \u2502 4-4 \u7f16\u7a0b\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 \u2502 4-5 \u8d22\u5bcc\u53ef\u4ee5\u7ee7\u627f.mp4<br \/>\u2502 \u2502 \u2502 4-6 \u77e5\u8bc6\u662f\u79c1\u6709\u7684\uff0c\u4e0d\u80fd\u7ee7\u627f.mp4<br \/>\u2502 \u2502 \u2502 4-7 \u7f16\u7a0b\u7ec3\u4e60.pdf<br \/>\u2502 \u2502 \u2502 4-8 \u3010\u8ba8\u8bba\u9898\u3011\u5c0f\u6155\u7684\u7ee7\u627f.pdf<br \/>\u2502 \u2502 \u2502 4-9 \u6df1\u5165\u7406\u89e3\u7c7b\u4e2d\u65b9\u6cd5\u7684\u79cd\u7c7b\u53ca\u5176\u5e94\u7528.mp4<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u251c\u2500\u7b2c5\u7ae0 \u8fdb\u7a0b\u4e0e\u7ebf\u7a0b\u7f16\u7a0b<br \/>\u2502 \u2502 \u2502 5-1 \u591a\u8fdb\u7a0b\u7f16\u7a0b.mp4<br \/>\u2502 \u2502 \u2502 5-2 \u3010\u603b\u7ed3\u3011\u591a\u8fdb\u7a0b.pdf<br \/>\u2502 \u2502 \u2502 5-3 \u3010\u6848\u4f8b\u3011\u9f9f\u5154\u8d5b\u8dd1\u7684\u591a\u7ebf\u7a0b\u5b9e\u73b0.mp4<br \/>\u2502 \u2502 \u2502 5-4 \u3010\u6848\u4f8b\u3011\u591a\u7ebf\u7a0b\u7c7b\u5b9e\u73b0\u68ee\u6797\u8fd0\u52a8\u4f1a.mp4<br \/>\u2502 \u2502 \u2502 5-5 \u3010\u5b66\u4e60\u4efb\u52a1\u3011\u6361\u8c46\u5b50\u6bd4\u8d5b.pdf<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u251c\u2500\u7b2c6\u7ae0 \u6b63\u786e\u8ba4\u8bc6\u7a0b\u5e8f\u4e2d\u7684\u9519\u8bef<br \/>\u2502 \u2502 \u2502 6-1 \u65b0\u5b54\u878d\u5206\u68a8\u5bfc\u81f4\u7684\u5f02\u5e38.mp4<br \/>\u2502 \u2502 \u2502 6-2 \u5f02\u5e38\u4e86\u8be5\u600e\u4e48\u529e\uff1f.mp4<br \/>\u2502 \u2502 \u2502 6-3 \u5f02\u5e38\u7684\u4e00\u9897\u7ee7\u627f\u6811.mp4<br \/>\u2502 \u2502 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\u2502 \u2502 8-1 \u5de5\u7a0b\u5c42\u7ea7\u7ed3\u6784\u7684\u5212\u5206.mp4<br \/>\u2502 \u2502 \u2502 8-2 \u4e3a\u4ec0\u4e48\u4ee3\u7801\u6240\u5728\u76ee\u5f55\u53eb\u505a\u5305.mp4<br \/>\u2502 \u2502 \u2502 8-3 \u5bfc\u5165\u5305\u7684\u4e24\u79cd\u65b9\u5f0f\uff08\u4e00\uff09.mp4<br \/>\u2502 \u2502 \u2502 8-4 \u5bfc\u5165\u5305\u7684\u4e24\u79cd\u65b9\u5f0f\uff08\u4e8c\uff09.mp4<br \/>\u2502 \u2502 \u2502 8-5 __init__.py \u5728\u5bfc\u5305\u4e2d\u7684\u4f5c\u7528.mp4<br \/>\u2502 \u2502 \u2502 8-6 \u63ed\u79d8 __name__.mp4<br \/>\u2502 \u2502 \u2502 8-7 Python \u5de5\u7a0b\u5f00\u53d1\u547d\u540d\u89c4\u8303.mp4<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u251c\u2500\u7b2c9\u7ae0 \u8bfe\u7a0b\u603b\u7ed3<br \/>\u2502 \u2502 \u2502 9-1 \u8bfe\u7a0b\u603b\u7ed3.mp4<br \/>\u2502 \u2502 \u2502 9-2 \u3010\u9879\u76ee\u4f5c\u4e1a\u3011\u5b66\u751f\u7ba1\u7406\u7cfb\u7edf.pdf<br \/>\u2502 \u2502 \u2502 <br \/>\u2502 \u2502 \u2514\u2500\u9644\u4ef6<br \/>\u2502 \u2502 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