{"id":5446,"date":"2020-05-20T09:20:50","date_gmt":"2020-05-20T10:50:01","guid":{"rendered":"https:\/\/vip.fxxkpython.com\/?p=5446"},"modified":"2020-05-20T18:50:09","modified_gmt":"2020-05-20T10:50:09","slug":"9316e1f6c9","status":"publish","type":"post","link":"https:\/\/vip.fxxkpython.com\/?p=5446","title":{"rendered":"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684 Python \u5e93\u8ba9\u4f60\u76f8\u89c1\u6068\u665a\uff1f"},"content":{"rendered":"
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\u4e4b\u524d\u5728\u77e5\u4e4e\u56de\u7b54\u4e86\u8fd9\u4e2a\u95ee\u9898\uff0c\u5f97\u5230\u4e0d\u5c11\u4eba\u7684\u559c\u6b22\uff0c\u6700\u8fd1\u53c8\u53d1\u73b0\u4e86\u51e0\u4e2a\u4e0d\u9519\u7684 Python \u5e93\uff0c\u8d76\u5728 520 \u4e4b\u65f6\u4e00\u5e76\u6574\u7406\u5206\u4eab\u7ed9\u5927\u5bb6\uff0c\u5e0c\u671b\u5bf9\u4f60\u6709\u5e2e\u52a9\uff0c\u522b\u95ee\uff0c\u95ee\u5c31\u662f\u826f\u5fc3\u7684\u4e00\u6279\u3002<\/section>\n

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Arrow<\/span><\/strong><\/span>
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\u6211\u4eec\u77e5\u9053 Python \u5df2\u7ecf\u5185\u7f6e\u4e86\u597d\u51e0\u4e2a\u5904\u7406\u65f6\u95f4\u76f8\u5173\u7684\u5e93\uff0c\u4f46\u662f\u5bf9\u4e8e\u65f6\u95f4\u4ee5\u53ca\u65f6\u533a\u95f4\u7684\u8f6c\u6362\u5e76\u4e0d\u6e05\u6670\uff0c\u64cd\u4f5c\u8d77\u6765\u7565\u7e41\u7410\uff0c\u800c Arrow \u53ef\u4ee5\u5f25\u8865\u8fd9\u4e2a\u95ee\u9898\uff0c\u5b83\u63d0\u4f9b\u4e86\u66f4\u53cb\u597d\u7684\u65b9\u6cd5\uff0c\u65b9\u4fbf\u6211\u4eec\u5bf9\u65f6\u95f4\uff0c\u65e5\u671f\uff0c\u683c\u5f0f\u5316\u7b49\u64cd\u4f5c\u3002
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/p>\n

https:\/\/github.com\/crsmithdev\/arrow<\/p>\n

start\uff1a6.1k
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thefuck<\/span><\/strong><\/span><\/section>\n

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\u8fd9\u4e2a\u540d\u5b57\u4e00\u770b\u5c31\u5389\u5bb3\u554a\uff0c\u6211\u4eec\u5e38\u5e38\u4f1a\u4f7f\u7528\u5230\u547d\u4ee4\u884c\uff0c\u4f46\u6709\u65f6\u5019\u4f1a\u5bf9\u4e00\u4e9b\u547d\u4ee4\u4e0d\u662f\u5f88\u719f\u6089\uff0c\u6216\u8005\u8bf4\u5076\u5c14\u51fa\u73b0\u6253\u9519\u547d\u4ee4\u7684\u60c5\u51b5\uff0c\u7136\u540e\u6709\u4eba\u5c31\u7528 Python \u641e\u4e86\u8fd9\u4e2a\u9879\u76ee\uff0c\u5f53\u4f60\u8f93\u9519\u547d\u4ee4\u7684\u65f6\u5019\uff0c\u4f60\u53ea\u8981\u518d\u8f93\u4e00\u4e2a \u201cfuck\u201d\uff0c\u5c31\u80fd\u9a6c\u4e0a\u66f4\u6b63\u4f60\u7684\u547d\u4ee4\u3002\u5f88\u725b\u903c\u6709\u6ca1\u6709\uff0c\u4ee5\u524d\u6211\u4eec\u4e00\u9047\u5230\u4e0d\u723d\u7684\uff0c\u8bf4\u53e5 woc \u4e5f\u6ca1\u4ec0\u4e48\u9e1f\u7528\uff0c\u4f46\u662f\u5728\u8fd9\u91cc\u9047\u5230\u4e0d\u723d\u7684\uff0c\u8bf4\u53e5 fuck \u8fd8\u771f\u80fd\u5e2e\u4f60\u89e3\u51b3\u95ee\u9898\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/nvbn\/thefuck<\/section>\n
star\uff1a4w+<\/section>\n


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face_recognition<\/span><\/strong><\/section>\n


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\u8fd9\u662f\u4e00\u4e2a\u5f3a\u5927\u3001\u7b80\u5355\u3001\u6613\u4e0a\u624b\u7684\u4eba\u8138\u8bc6\u522b\u5f00\u6e90\u9879\u76ee\uff0c\u5e76\u4e14\u914d\u5907\u4e86\u5b8c\u6574\u7684\u5f00\u53d1\u6587\u6863\u548c\u5e94\u7528\u6848\u4f8b\uff0c\u7279\u522b\u662f\u517c\u5bb9\u6811\u8393\u6d3e\u7cfb\u7edf\u3002<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/ageitgey\/face_recognition<\/section>\n
star\uff1a2.7w+<\/section>\n


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learn-regex<\/span><\/strong><\/section>\n

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\u5b66\u4e60\u6b63\u5219\u8868\u8fbe\u5f0f\u7684\u6b63\u786e\u59ff\u52bf\uff0c\u4e0a\u6b21\u521a\u597d\u770b\u5230\u8fd9\u4e2a\u9879\u76ee\uff0c\u7559\u610f\u4e86\u4e0b\uff0c\u53d1\u73b0\u8fd9\u7b97\u662f\u5f88\u5168\u9762\u7684\u6b63\u5219\u5b66\u4e60\u8d44\u6599\u4e86\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/ziishaned\/learn-regex<\/section>\n
star\uff1a2.7w+<\/section>\n


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musicbox<\/span><\/strong><\/section>\n

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\u8fd9\u4e2a\u9879\u76ee\u597d\u73a9\uff0c\u76f4\u63a5\u4f7f\u7528\u547d\u4ee4\u884c\u6765\u8fd0\u884c\u64cd\u4f5c\u7f51\u6613\u4e91\u97f3\u4e50\uff0c\u662f\u4e0d\u662f\u5f88 geek \u54a7\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u5988\u5988\u518d\u4e5f\u4e0d\u7528\u62c5\u5fc3\u6211\u5728 Linux \u65e0\u6cd5\u597d\u597d\u7684\u542c\u6b4c\u4e86\u3002<\/section>\n


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PaddlePaddle Models<\/span><\/section>\n


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PaddlePaddle \u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8ba1\u7b97\u5355\u5143\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u91c7\u7528\u6a21\u5757\u5316\u7684\u65b9\u6cd5\u89e3\u51b3\u5404\u79cd\u5b66\u4e60\u95ee\u9898\u3002\u5728\u6b64Repo\u4e2d\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u5982\u4f55\u7528 PaddlePaddle\u6765\u89e3\u51b3\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\uff0c\u63d0\u4f9b\u82e5\u5e72\u79cd\u4e0d\u540c\u7684\u6613\u5b66\u6613\u7528\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/PaddlePaddle\/models<\/section>\n


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vipstone\/faceai<\/span><\/strong><\/section>\n


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\u4e00\u6b3e\u5165\u95e8\u7ea7\u7684\u4eba\u8138\u3001\u89c6\u9891\u3001\u6587\u5b57\u68c0\u6d4b\u4ee5\u53ca\u8bc6\u522b\u7684\u9879\u76ee\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/vipstone\/faceai<\/section>\n


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AiLearning<\/span><\/strong><\/section>\n


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\u673a\u5668\u5b66\u4e60 – MachineLearning – ML\u3001\u6df1\u5ea6\u5b66\u4e60 – DeepLearning – DL\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406 NLP\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/apachecn\/AiLearning<\/section>\n


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Algorithm_Interview<\/span><\/section>\n


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2018\/2019\/\u6821\u62db\/\u6625\u62db\/\u79cb\u62db\/\u7b97\u6cd5\/\u673a\u5668\u5b66\u4e60(Machine Learning)\/\u6df1\u5ea6\u5b66\u4e60(Deep Learning)\/\u81ea\u7136\u8bed\u8a00\u5904\u7406(NLP)\/C\/C++\/Python\/\u9762\u8bd5\u7b14\u8bb0\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/imhuay\/Algorithm_Interview_Notes-Chinese<\/section>\n


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learn_python3_spider<\/span><\/strong><\/section>\n


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python\u722c\u866b\u6559\u7a0b\u7cfb\u5217\u3001\u4ece0\u52301\u5b66\u4e60python\u722c\u866b\uff0c\u5305\u62ec\u6d4f\u89c8\u5668\u6293\u5305\uff0c\u624b\u673aAPP\u6293\u5305\uff0c\u5982 fiddler\u3001mitmproxy\uff0c\u5404\u79cd\u722c\u866b\u6d89\u53ca\u7684\u6a21\u5757\u7684\u4f7f\u7528\uff0c\u5982\uff1arequests\u3001beautifulSoup\u3001selenium\u3001appium\u3001scrapy\u7b49\uff0c\u4ee5\u53caIP\u4ee3\u7406\uff0c\u9a8c\u8bc1\u7801\u8bc6\u522b\uff0cMysql\uff0cMongoDB\u6570\u636e\u5e93\u7684python\u4f7f\u7528\uff0c\u591a\u7ebf\u7a0b\u591a\u8fdb\u7a0b\u722c\u866b\u7684\u4f7f\u7528\uff0ccss \u722c\u866b\u52a0\u5bc6\u9006\u5411\u7834\u89e3\uff0cJS\u722c\u866b\u9006\u5411\uff0c\u722c\u866b\u9879\u76ee\u5b9e\u6218\u5b9e\u4f8b\u7b49\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u7eaf\u7cb9\u81ea\u5356\u81ea\u5938<\/p>\n

\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/wistbean\/learn_python3_spider<\/section>\n

star\u6570\u91cf\uff1a3.6k
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12306<\/span><\/strong><\/section>\n


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\u8fd9\u662f\u7528 Python \u5f00\u53d1\u7684 12306 \u8d2d\u7968\u52a9\u624b\uff0c\u5b83\u5b9e\u73b0\u4e86\u81ea\u52a8\u6253\u7801\uff0c\u81ea\u52a8\u767b\u5f55\uff0c\u6361\u6f0f\uff0c\u5019\u8865\u7b49\u529f\u80fd\u3002\u7528 Python \u5e2e\u4f60\u62a2\u7968\uff0c\u8fd8\u662f\u53ef\u4ee5\u7684\u3002\u867d\u7136\u56fd\u5e86\u6ca1\u7528\u5230\uff0c\u8fd9\u4e0d\u6625\u8282\u9a6c\u4e0a\u8981\u5230\u4e86\u4e48\uff1f\u5230\u65f6\u53ef\u4ee5\u7528\u4e0a\u6765\u3002<\/section>\n

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\u8fd9\u4e2a\u9879\u76ee\u5df2\u7ecf\u6709 1.6w+ star\uff0c\u4f5c\u8005\u4e5f\u4e00\u76f4\u5728\u7ef4\u62a4\u3002<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/testerSunshine\/12306<\/section>\n


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d2l-zh<\/span><\/strong><\/section>\n


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\u8fd9\u662f\u4e00\u672c\u300a\u52a8\u624b\u5b66\u6df1\u5ea6\u5b66\u4e60\u300b\u6559\u6750\uff0c\u9762\u5411\u4e2d\u6587\u8bfb\u8005\uff0c\u6e90\u4ee3\u7801\u90fd\u5728\u8fd9\u91cc\u9762\u4e86\uff0c\u80fd\u8fd0\u884c\uff0c\u53ef\u4ee5\u8ba8\u8bba\u30021.3w+ \u7684star\uff0c\u5185\u5bb9\u5982\u4e0b\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/d2l-ai\/d2l-zh<\/section>\n


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httpx<\/span><\/strong><\/section>\n

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\u8fd9\u4e2a\u662f\u5efa\u7acb\u5728 requests \u4e4b\u4e0a\u7684\u5e93\uff0c\u58f0\u79f0\u662f Python \u4e0b\u4e00\u4ee3\u7684 http \uff0c\u4f7f\u7528\u65b9\u5f0f\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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requests \u6709\u7684\u529f\u80fd\u5b83\u90fd\u6709\uff0c\u6ca1\u6709\u7684\u529f\u80fd\u5b83\u4e5f\u6709\uff1a<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/encode\/httpx<\/section>\n


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pandas-profiling<\/span><\/strong><\/section>\n

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\u6211\u4eec\u77e5\u9053\u6570\u636e\u5206\u6790\u6709\u4e2a pandas \u6846\u67b6\uff0c\u800c\u8fd9\u4e2a\u9879\u76ee\u5c31\u662f\u7ee7\u627f pandas \u7684\uff0c \u5b83\u51e0\u4e4e\u53ef\u4ee5\u505a\u5230\u4e00\u884c\u4ee3\u7801\u5feb\u901f\u5bf9\u6570\u636e\u8fdb\u884c\u53ef\u89c6\u5316\u5206\u6790\uff1a<\/section>\n


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\u8fd9\u91cc\u4e00\u884c\u4ee3\u7801\u5c31\u53ef\u4ee5\u76f4\u63a5\u751f\u6210\u53ef\u89c6\u5316\u6570\u636e\uff1a<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/pandas-profiling\/pandas-profiling<\/section>\n


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WeRoBot<\/span><\/strong><\/section>\n

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\u8fd9\u662f\u4e00\u4e2a Python \u5f00\u53d1\u7684\u5fae\u4fe1\u516c\u4f17\u53f7\u6846\u67b6\uff0c\u6709\u4e9b\u670b\u53cb\u5982\u679c\u662f\u57fa\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\u5f00\u53d1\u7684\u8bdd\uff0c\u53ef\u4ee5\u4e0d\u7528\u81ea\u5df1\u9020\u8f6e\u5b50\u4e86\uff0c\u8fd9\u4e2a\u6846\u67b6\u53ef\u4ee5\u8282\u7701\u4f60\u5f88\u591a\u65f6\u95f4\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/offu\/WeRoBot<\/section>\n


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PySimpleGUI<\/span><\/strong><\/section>\n


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\u4f60\u53ef\u4ee5\u4f7f\u7528\u5b83\u7b80\u5355\u7684\u521b\u5efa\u7528\u6237\u754c\u9762\uff0cPySimpleGUI \u540c\u65f6\u652f\u6301 Python2 \u548c Python3\u3002\u5b83\u5c06 tkinter\u3001Qt\u3001WxPython\u3001Remi \u8f6c\u5316\u4e3a\u53ef\u79fb\u690d\u7684\u4eba\u6027\u5316 Pythonic \u63a5\u53e3\uff0c\u641e\u51fa\u6765\u7684\u7528\u6237\u754c\u9762\u53ef\u4ee5\u8fd0\u884c\u5728 Linux\u3001Mac OS\u3001Windows \u7cfb\u7edf\u4e0a\u3002<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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GitHub\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/PySimpleGUI\/PySimpleGUI<\/section>\n

star\uff1a<\/span>2.4k<\/span><\/p>\n


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yagmail<\/span><\/strong><\/section>\n


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yagmail \u662f\u6211\u89c1\u8fc7\u5b9e\u73b0 Python \u53d1\u9001\u90ae\u4ef6\u8fd9\u4e2a\u529f\u80fd\u7528\u5230\u7684\u6700\u77ed\u7684\u4ee3\u7801\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u7fa4\u53d1\u90ae\u4ef6\u4e5f\u662f easy \u5566\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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GitHub\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/kootenpv\/yagmail<\/section>\n
star\uff1a<\/span>1.6k<\/span><\/section>\n


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wtfpython<\/span><\/strong><\/section>\n


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\u987e\u540d\u601d\u4e49\uff0cwhat the fxxk Python \uff0c\u8fd9\u540d\u5b57\u4e00\u770b\u5c31\u6709\u8da3\uff0c\u8fd9\u4e2a\u9879\u76ee\u610f\u5728\u6536\u96c6 Python \u4e2d\u90a3\u4e9b\u96be\u4ee5\u7406\u89e3\u548c\u53cd\u4eba\u7c7b\u76f4\u89c9\u7684\u4f8b\u5b50\u4ee5\u53ca\u9c9c\u4e3a\u4eba\u77e5\u7684\u529f\u80fd\u7279\u6027\uff0c\u5e76\u5c1d\u8bd5\u8ba8\u8bba\u8fd9\u4e9b\u73b0\u8c61\u80cc\u540e\u771f\u6b63\u7684\u539f\u7406\u3002<\/section>\n


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\u8bf4\u767d\u4e86\uff0c\u4e5f\u5c31\u662f\u4f60\u770b\u5230\u90a3\u6837\u7684 Python \u4f8b\u5b50\uff0c\u4f1a\u4e0d\u81ea\u89c9\u7684\u8131\u53e3\u800c\u51fa\uff1a\u201cwhat the fxxk \uff0c\u8fd9\u662f\u4ec0\u4e48\u9b3c\uff1f\u201d<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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GitHub\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/leisurelicht\/wtfpython-cn<\/section>\n
star\uff1a<\/span>9.1k<\/span><\/section>\n

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faker<\/span><\/strong><\/section>\n


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faker \u5c31\u662f\u5047\uff0c\u4e0d\u591f real \uff0c\u6211\u4eec\u6709\u65f6\u5019\u5728\u5199\u4ee3\u7801\u7684\u65f6\u5019\u9700\u8981\u4e00\u4e9b\u5047\u6570\u636e\u8fdb\u884c\u6d4b\u8bd5\uff0c\u6709\u4e86 faker \u4e4b\u540e\uff0c\u4f60\u5c31\u518d\u4e5f\u4e0d\u7528\u81ea\u5df1\u6574\u4e00\u4e9b\u201c\u5f20\u4e09\u201d\u3001\u201c\u674e\u56db\u201d\u3001\u201c\u9694\u58c1\u8001\u738b\u201d \u4e86\u3002<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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GitHub\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/joke2k\/faker<\/section>\n
star\uff1a<\/span>8.7k<\/span><\/section>\n


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pelican<\/span><\/strong><\/section>\n


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\u8fd9\u4e2a\u4e5f\u662f\u5389\u5bb3\uff0cpelican \u53ef\u4ee5\u5feb\u901f\u751f\u6210\u4e00\u4e2a\u7f51\u7ad9\uff0c\u6211\u6765\u7ed9\u4f60\u6f14\u793a\u4e00\u4e0b\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u7136\u540e\u76f4\u63a5\u8f93\u5165\u547d\u4ee4\uff1apelican-quickstart\u3002<\/section>\n


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\u56de\u7b54\u5404\u79cd\u6c99\u96d5\u7f51\u7ad9\u95ee\u9898\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u7136\u540e\u5c31\u5b8c\u4e8b\u4e86\uff0c\u968f\u4fbf\u641e\u4e2a md \u6587\u4ef6\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u4fdd\u5b58\u4e00\u6ce2\u4e4b\u540e\uff0c\u5728\u4f60\u5f53\u524d\u7684\u76ee\u5f55\u521b\u5efa\u4e00\u4e2a content \u6587\u4ef6\uff0c\u628a\u4f60\u7f16\u8f91\u7684\u8fd9\u4e2a\u6587\u4ef6\u585e\u8fdb\u53bb\u3002<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u7136\u540e\u8f93\u5165  pelican content\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u63a5\u7740\u8f93\u5165 pelican –listen \u5c31\u53ef\u4ee5\u9884\u89c8\u4f60\u7684\u7f51\u7ad9\u4e86\uff1a<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u662f\u4e0d\u662f\u5f88\u723d\uff1f\u600e\u4e00\u4e2a\u5e05<\/span>\u5b57\u4e86\u5f97\uff1f<\/section>\n

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GitHub\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/getpelican\/pelican<\/section>\n
star\uff1a<\/span>9.2k<\/span><\/section>\n


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FastAPI<\/span><\/strong><\/section>\n


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FastAPI\u662f\u4e00\u4e2a\u57fa\u4e8e Python3.6+ \u6784\u5efa\u7684\u9ad8\u6027\u80fd web \u6846\u67b6\uff0c\u4f7f\u7528\u5b83\u53ef\u4ee5\u5f88\u5feb\u7684\u7b80\u5355\u5199\u4e00\u4e9b API \u63a5\u53e3\u3002<\/section>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u63a5\u7740\u53ef\u4ee5\u5b89\u88c5 uvicorn \u540e\u8fd0\u884c\u8d77\u6765\uff1a<\/section>\n


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\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u76d1\u542c 8000 \u7aef\u53e3\u4e86\uff0c\u53ef\u4ee5\u901a\u8fc7 http:\/\/127.0.0.1:8000 \u8fdb\u884c\u8bbf\u95ee\uff1a<\/section>\n


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\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n

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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n

\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9664\u6b64\u4e4b\u5916\uff0c\u5b83\u57fa\u4e8e Swagger \u8fd8\u80fd\u76f4\u63a5\u751f\u6210\u63a5\u53e3\u6587\u6863\uff0c\u7701\u4e86\u4f60\u5927\u91cf\u5199\u63a5\u53e3\u6587\u6863\u7684\u65f6\u95f4\uff1a<\/section>\n


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\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u8fd8\u80fd\u76f4\u63a5\u6d4b\u8bd5\u63a5\u53e3\uff1a<\/section>\n


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\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/tiangolo\/fastapi<\/section>\n
star\u6570\uff1a6k<\/section>\n


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Ultra-Light-Fast-Generic-Face-Detector-1MB<\/span><\/strong><\/section>\n


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\u8fd9\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u4eba\u8138\u68c0\u6d4b\u6a21\u578b\uff0c\u9488\u5bf9\u8fb9\u7f18\u8ba1\u7b97\u8bbe\u5907\u8bbe\u8ba1\u7684\u8f7b\u91cf\u4eba\u8138\u68c0\u6d4b\u6a21\u578b\uff0c\u9ed8\u8ba4FP32\u7cbe\u5ea6\u4e0b\uff08.pth\uff09\u6587\u4ef6\u5927\u5c0f\u4e3a 1.04~1.1MB\u3002<\/section>\n


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\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n

\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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<\/p>\n

\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/Linzaer\/Ultra-Light-Fast-Generic-Face-Detector-1MB<\/section>\n
star\u6570\u91cf\uff1a3.9k<\/section>\n


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you-get<\/span><\/strong><\/section>\n


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\u5b89\u88c5\u5b8c you-get \u5c31\u80fd\u901a\u8fc7\u4e00\u4e2a\u547d\u4ee4\u4e0b\u8f7d\u7f51\u4e0a\u7684\u5728\u7ebf\u89c6\u9891\u4e86\uff1a<\/section>\n


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\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u725b\u903c\u7684\u662f\uff0c\u73b0\u5728\u5b83\u5df2\u7ecf\u80fd\u591f\u652f\u6301\u5927\u90e8\u5206\u4e3b\u6d41\u7684\u5728\u7ebf\u89c6\u9891\u7f51\u7ad9\u7684\u4e0b\u8f7d\uff1a<\/section>\n


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\n
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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n<\/figure>\n<\/section>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/section>\n
https:\/\/github.com\/soimort\/you-get<\/section>\n
star\u6570\u91cf\uff1a28.4k<\/section>\n

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Fire<\/span><\/strong><\/section>\n

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\u8fd9\u4e2a\u5e93\u7684\u65b9\u4fbf\u4e4b\u5904\u5728\u4e8e\uff0c\u4ed6\u53ef\u4ee5\u8ba9\u4efb\u4f55 Python \u9879\u76ee\u5feb\u901f\u81ea\u52a8\u751f\u6210\u547d\u4ee4\u884c\u63a5\u53e3\uff0c\u4e0d\u7528\u81ea\u5df1\u5199 docstring \u5c31\u53ef\u4ee5\u751f\u6210\uff0c\u800c\u4e14\u53ea\u9700\u8981\u7528 Fire \u8c03\u7528\u4e00\u4e0b\u5c31\u53ef\u4ee5\u4e86\uff0c\u8212\u670d\uff01
<\/section>\n

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\u4e00\u4e2a\u5b98\u65b9\u7684\u4f8b\u5b50\uff1a<\/section>\n

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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n


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\u901a\u8fc7 python \u8fd0\u884c\uff1a
<\/section>\n
python calculator.py<\/section>\n

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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n


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\u9879\u76ee\u5730\u5740\uff1a<\/span><\/section>\n
https:\/\/github.com\/google\/python-fire<\/section>\n
star\u6570\u91cf<\/span>:16.9k
<\/section>\n

<\/section>\n

<\/section>\n
ok\uff0c\u4ee5\u4e0a\uff0c\u522b\u5149\u6536\u85cf\u5440\uff0c\u70b9\u4e2a\u5728\u770b\u5457\uff0cPython \u597d\u7528\u7684\u5e93\u8fdc\u4e0d\u6b62\u8fd9\u4e9b\uff0c\u4ee5\u540e\u6211\u53d1\u73b0\u4e0d\u9519\u7684\u5e93\u518d\u6574\u7406\u4e00\u6ce2\u5206\u4eab\u7ed9\u4f60\uff01<\/section>\n

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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n

\u626b\u4e00\u626b<\/span><\/strong><\/p>\n

\u5b66\u4e60 Python \u6ca1\u70e6\u607c<\/span><\/strong><\/p>\n


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\"\u6709\u54ea\u4e9b\u5f00\u6e90\u7684<\/p>\n


<\/p>\n

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