{"id":1004966,"date":"2024-12-27T10:31:26","date_gmt":"2024-12-27T02:31:26","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1004966.html"},"modified":"2024-12-27T10:31:29","modified_gmt":"2024-12-27T02:31:29","slug":"2017python%e5%89%8d%e6%99%af%e5%a6%82%e4%bd%95","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1004966.html","title":{"rendered":"2017python\u524d\u666f\u5982\u4f55"},"content":{"rendered":"

\"2017python\u524d\u666f\u5982\u4f55\"<\/p>\n

2017\u5e74\uff0cPython\u7684\u524d\u666f\u975e\u5e38\u5149\u660e<\/strong>\uff0c\u7531\u4e8e\u5176\u7b80\u5355\u6613\u5b66\u3001\u5f3a\u5927\u7684\u5e93\u652f\u6301\u3001\u5e7f\u6cdb\u7684\u5e94\u7528\u9886\u57df\u4ee5\u53ca\u6d3b\u8dc3\u7684\u793e\u533a\u652f\u6301<\/strong>\u3002Python\u5df2\u6210\u4e3a\u79d1\u5b66\u8ba1\u7b97\u3001\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/a>\u9886\u57df\u4e2d\u7684\u9996\u9009\u8bed\u8a00\u4e4b\u4e00\u3002\u57282017\u5e74\uff0cPython\u7684\u4f7f\u7528\u5c06\u7ee7\u7eed\u589e\u957f\uff0c\u5c24\u5176\u662f\u5728\u6570\u636e\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd<\/a>\u9886\u57df\u3002Python\u7684\u5f00\u6e90\u793e\u533a\u4e0d\u65ad\u53d1\u5c55\uff0c\u4e3a\u5176\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u80fd\u591f\u66f4\u5feb\u5730\u6784\u5efa\u5e94\u7528\u7a0b\u5e8f\u3002\u4ee5\u6570\u636e\u79d1\u5b66\u4e3a\u4f8b\uff0cPython\u56e0\u5176\u4e30\u5bcc\u7684\u5e93\u5982NumPy\u3001Pandas\u3001Matplotlib\u7b49\uff0c\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u53ef\u89c6\u5316<\/strong>\u3002\u8fd9\u4e9b\u5e93\u5927\u5927\u7b80\u5316\u4e86\u6570\u636e\u5904\u7406\u7684\u6d41\u7a0b\uff0c\u4f7f\u5f97\u6570\u636e\u79d1\u5b66\u5bb6\u80fd\u591f\u4e13\u6ce8\u4e8e\u6a21\u578b\u548c\u7b97\u6cd5\u7684\u7814\u7a76\uff0c\u800c\u4e0d\u662f\u7e41\u7410\u7684\u6570\u636e\u5904\u7406\u6b65\u9aa4\u3002<\/p>\n<\/p>\n

\u4e00\u3001PYTHON\u7684\u7b80\u6d01\u6027\u548c\u6613\u7528\u6027<\/p>\n<\/p>\n

Python\u8bed\u8a00\u4ee5\u5176\u7b80\u6d01\u548c\u6613\u7528\u6027\u800c\u95fb\u540d\uff0c\u8fd9\u4f7f\u5f97\u5b83\u6210\u4e3a\u7f16\u7a0b\u65b0\u624b\u548c\u4e13\u4e1a\u5f00\u53d1\u8005\u7684\u7406\u60f3\u9009\u62e9\u3002Python\u7684\u8bed\u6cd5\u8bbe\u8ba1\u6ce8\u91cd\u53ef\u8bfb\u6027\uff0c\u8fd9\u610f\u5473\u7740\u5373\u4f7f\u662f\u521d\u5b66\u8005\u4e5f\u53ef\u4ee5\u5feb\u901f\u4e0a\u624b\uff0c\u7406\u89e3\u548c\u7f16\u5199\u4ee3\u7801\u3002\u5176\u8bbe\u8ba1\u54f2\u5b66\u5f3a\u8c03\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7b80\u6d01\u6027\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u80fd\u591f\u66f4\u4e13\u6ce8\u4e8e\u89e3\u51b3\u95ee\u9898\uff0c\u800c\u4e0d\u662f\u8bed\u8a00\u672c\u8eab\u7684\u590d\u6742\u6027\u3002<\/p>\n<\/p>\n

Python\u7684\u52a8\u6001\u7c7b\u578b\u548c\u81ea\u52a8\u5185\u5b58\u7ba1\u7406\u529f\u80fd\u8fdb\u4e00\u6b65\u589e\u5f3a\u4e86\u5176\u6613\u7528\u6027\u3002\u52a8\u6001\u7c7b\u578b\u4f7f\u5f97\u5f00\u53d1\u8005\u4e0d\u9700\u8981\u663e\u5f0f\u58f0\u660e\u53d8\u91cf\u7684\u7c7b\u578b\uff0c\u8fd9\u51cf\u5c11\u4e86\u4ee3\u7801\u7684\u5197\u4f59\u3002\u81ea\u52a8\u5185\u5b58\u7ba1\u7406\u5219\u901a\u8fc7\u5783\u573e\u56de\u6536\u673a\u5236\uff0c\u81ea\u52a8\u91ca\u653e\u4e0d\u518d\u4f7f\u7528\u7684\u5185\u5b58\u7a7a\u95f4\uff0c\u51cf\u5c11\u4e86\u5185\u5b58\u7ba1\u7406\u7684\u8d1f\u62c5\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u5f3a\u5927\u7684\u5e93\u652f\u6301<\/p>\n<\/p>\n

Python\u62e5\u6709\u4e00\u4e2a\u5e9e\u5927\u4e14\u4e0d\u65ad\u589e\u957f\u7684\u5e93\u548c\u6846\u67b6\u751f\u6001\u7cfb\u7edf\uff0c\u8fd9\u4f7f\u5f97\u5b83\u5728\u5404\u79cd\u5e94\u7528\u9886\u57df\u4e2d\u90fd\u8868\u73b0\u51fa\u8272\u3002\u4ece\u6570\u636e\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u5230Web\u5f00\u53d1\uff0cPython\u90fd\u6709\u4e13\u95e8\u7684\u5e93\u548c\u6846\u67b6\u652f\u6301\u3002<\/p>\n<\/p>\n

\u5728\u6570\u636e\u79d1\u5b66\u9886\u57df\uff0cNumPy\u548cPandas\u662f\u4e24\u4e2a\u6700\u5e38\u7528\u7684\u5e93\u3002NumPy\u63d0\u4f9b\u4e86\u652f\u6301\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u7684\u9ad8\u6027\u80fd\u6570\u636e\u7ed3\u6784\uff0c\u800cPandas\u5219\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u64cd\u4f5c\u5de5\u5177\u3002Matplotlib\u548cSeaborn\u662f\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684\u5e93\uff0c\u5b83\u4eec\u5141\u8bb8\u7528\u6237\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u548c\u56fe\u5f62\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u3002<\/p>\n<\/p>\n

\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\uff0cScikit-learn\u662f\u4e00\u4e2a\u6d41\u884c\u7684Python\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u7b80\u5355\u4e14\u9ad8\u6548\u7684\u5de5\u5177\uff0c\u7528\u4e8e\u6570\u636e\u6316\u6398\u548c\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002TensorFlow\u548cKeras\u662f\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u6d41\u884c\u6846\u67b6\uff0c\u5b83\u4eec\u5141\u8bb8\u5f00\u53d1\u8005\u6784\u5efa\u548c\u8bad\u7ec3\u590d\u6742\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u5e7f\u6cdb\u7684\u5e94\u7528\u9886\u57df<\/p>\n<\/p>\n

Python\u7684\u591a\u529f\u80fd\u6027\u4f7f\u5f97\u5b83\u5728\u8bb8\u591a\u4e0d\u540c\u7684\u5e94\u7528\u9886\u57df\u4e2d\u5f97\u5230\u5e7f\u6cdb\u5e94\u7528\u3002\u5b83\u4e0d\u4ec5\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u4e2d\u5360\u636e\u91cd\u8981\u5730\u4f4d\uff0c\u8fd8\u5728Web\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u811a\u672c\u3001\u7f51\u7edc\u7f16\u7a0b\u3001\u6e38\u620f\u5f00\u53d1\u7b49\u9886\u57df\u4e2d\u8868\u73b0\u51fa\u8272\u3002<\/p>\n<\/p>\n

\u5728Web\u5f00\u53d1\u9886\u57df\uff0cDjango\u548cFlask\u662f\u4e24\u4e2a\u6d41\u884c\u7684Python\u6846\u67b6\uff0c\u5b83\u4eec\u63d0\u4f9b\u4e86\u6784\u5efaWeb\u5e94\u7528\u7a0b\u5e8f\u6240\u9700\u7684\u6240\u6709\u57fa\u672c\u529f\u80fd\u3002Django\u662f\u4e00\u4e2a\u5168\u6808\u6846\u67b6\uff0c\u9002\u5408\u6784\u5efa\u5927\u578b\u590d\u6742\u7684Web\u5e94\u7528\uff0c\u800cFlask\u5219\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u6846\u67b6\uff0c\u9002\u5408\u6784\u5efa\u5c0f\u578b\u9879\u76ee\u548c\u5fae\u670d\u52a1\u3002<\/p>\n<\/p>\n

\u5728\u81ea\u52a8\u5316\u811a\u672c\u548c\u4efb\u52a1\u81ea\u52a8\u5316\u65b9\u9762\uff0cPython\u7684\u7b80\u6d01\u6027\u548c\u5f3a\u5927\u7684\u5e93\u652f\u6301\u4f7f\u5f97\u5b83\u6210\u4e3a\u4e00\u79cd\u7406\u60f3\u7684\u8bed\u8a00\u3002Python\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u6587\u4ef6\u5904\u7406\u3001\u6570\u636e\u6293\u53d6\u3001\u7cfb\u7edf\u7ba1\u7406\u7b49\u4efb\u52a1\uff0c\u5927\u5927\u63d0\u9ad8\u4e86\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/p>\n

\u56db\u3001\u6d3b\u8dc3\u7684\u793e\u533a\u652f\u6301<\/p>\n<\/p>\n

Python\u62e5\u6709\u4e00\u4e2a\u975e\u5e38\u6d3b\u8dc3\u548c\u652f\u6301\u7684\u793e\u533a\uff0c\u8fd9\u5bf9\u5176\u53d1\u5c55\u548c\u666e\u53ca\u8d77\u5230\u4e86\u91cd\u8981\u4f5c\u7528\u3002Python\u793e\u533a\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u5f00\u6e90\u9879\u76ee\u548c\u8d44\u6e90\uff0c\u8fd8\u901a\u8fc7\u8bba\u575b\u3001\u90ae\u4ef6\u5217\u8868\u548c\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u89e3\u51b3\u95ee\u9898\u3001\u5206\u4eab\u7ecf\u9a8c\u3002<\/p>\n<\/p>\n

\u793e\u533a\u6d3b\u52a8\u548c\u4f1a\u8bae\u4e5f\u662fPython\u751f\u6001\u7cfb\u7edf\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002PyCon\u662f\u4e00\u4e2a\u5168\u7403\u6027\u7684Python\u5f00\u53d1\u8005\u5927\u4f1a\uff0c\u6bcf\u5e74\u5438\u5f15\u4e86\u5927\u91cf\u7684\u5f00\u53d1\u8005\u53c2\u4e0e\u3002\u901a\u8fc7\u8fd9\u4e9b\u6d3b\u52a8\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u4e86\u89e3Python\u7684\u6700\u65b0\u53d1\u5c55\u8d8b\u52bf\u3001\u7ed3\u8bc6\u5176\u4ed6\u5f00\u53d1\u8005\u3001\u5206\u4eab\u548c\u5b66\u4e60\u65b0\u7684\u6280\u672f\u548c\u5de5\u5177\u3002<\/p>\n<\/p>\n

\u6b64\u5916\uff0cPython\u8f6f\u4ef6\u57fa\u91d1\u4f1a\uff08PSF\uff09\u4e5f\u4e3aPython\u7684\u63a8\u5e7f\u548c\u53d1\u5c55\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u652f\u6301\u3002PSF\u662f\u4e00\u4e2a\u975e\u8425\u5229\u7ec4\u7ec7\uff0c\u8d1f\u8d23\u7ba1\u7406Python\u7684\u5f00\u53d1\u548c\u7ef4\u62a4\uff0c\u5e76\u652f\u6301\u5168\u7403\u8303\u56f4\u5185\u7684Python\u6d3b\u52a8\u548c\u9879\u76ee\u3002<\/p>\n<\/p>\n

\u4e94\u3001\u6570\u636e\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u7684\u5174\u8d77<\/p>\n<\/p>\n

\u968f\u7740\u5927\u6570\u636e\u548c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u5174\u8d77\uff0cPython\u5728\u8fd9\u4e9b\u9886\u57df\u7684\u5e94\u7528\u4e5f\u8d8a\u6765\u8d8a\u5e7f\u6cdb\u3002Python\u7684\u5e93\u5982NumPy\u3001Pandas\u3001Scikit-learn\u3001TensorFlow\u3001Keras\u7b49\uff0c\u4f7f\u5f97\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u80fd\u591f\u8f7b\u677e\u8fdb\u884c\u6570\u636e\u5904\u7406\u3001\u5206\u6790\u548c\u5efa\u6a21\u3002<\/p>\n<\/p>\n

\u5728\u6570\u636e\u79d1\u5b66\u9886\u57df\uff0cPython\u63d0\u4f9b\u4e86\u4ece\u6570\u636e\u6e05\u6d17\u3001\u7279\u5f81\u5de5\u7a0b\u5230\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\u7684\u5168\u5957\u5de5\u5177\u94fe\u3002\u6570\u636e\u79d1\u5b66\u5bb6\u53ef\u4ee5\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\uff0c\u4f7f\u7528Matplotlib\u6216Seaborn\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4f7f\u7528Scikit-learn\u6216TensorFlow\u8fdb\u884c\u673a\u5668\u5b66\u4e60\u5efa\u6a21\u3002<\/p>\n<\/p>\n

\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0cPython\u7684\u7075\u6d3b\u6027\u548c\u6613\u7528\u6027\u4f7f\u5f97\u5b83\u6210\u4e3a\u5f00\u53d1\u548c\u90e8\u7f72\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u7406\u60f3\u9009\u62e9\u3002TensorFlow\u548cPyTorch\u662f\u4e24\u4e2a\u6d41\u884c\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u652f\u6301\u6784\u5efa\u548c\u8bad\u7ec3\u590d\u6742\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002Python\u7684\u5e7f\u6cdb\u5e94\u7528\u4f7f\u5f97\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u80fd\u591f\u5feb\u901f\u843d\u5730\uff0c\u4e3a\u5404\u884c\u5404\u4e1a\u5e26\u6765\u521b\u65b0\u548c\u53d8\u9769\u3002<\/p>\n<\/p>\n

\u516d\u3001\u6559\u80b2\u548c\u57f9\u8bad\u9886\u57df\u7684\u5e7f\u6cdb\u5e94\u7528<\/p>\n<\/p>\n

Python\u4e0d\u4ec5\u5728\u5de5\u4e1a\u754c\u5f97\u5230\u5e7f\u6cdb\u5e94\u7528\uff0c\u8fd8\u5728\u6559\u80b2\u548c\u57f9\u8bad\u9886\u57df\u4e2d\u5360\u636e\u91cd\u8981\u5730\u4f4d\u3002\u7531\u4e8e\u5176\u7b80\u5355\u6613\u5b66\u7684\u7279\u70b9\uff0cPython\u6210\u4e3a\u8bb8\u591a\u5b66\u6821\u548c\u57f9\u8bad\u673a\u6784\u6559\u6388\u7f16\u7a0b\u57fa\u7840\u7684\u9996\u9009\u8bed\u8a00\u3002<\/p>\n<\/p>\n

Python\u7684\u8bed\u6cd5\u7b80\u6d01\u4e14\u6613\u4e8e\u7406\u89e3\uff0c\u975e\u5e38\u9002\u5408\u521d\u5b66\u8005\u5b66\u4e60\u7f16\u7a0b\u3002\u8bb8\u591a\u5927\u5b66\u548c\u5728\u7ebf\u6559\u80b2\u5e73\u53f0\u90fd\u5f00\u8bbe\u4e86Python\u76f8\u5173\u8bfe\u7a0b\uff0c\u6db5\u76d6\u4ece\u57fa\u7840\u7f16\u7a0b\u6982\u5ff5\u5230\u9ad8\u7ea7\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u7684\u5404\u4e2a\u65b9\u9762\u3002\u8fd9\u4e9b\u8bfe\u7a0b\u5e2e\u52a9\u5b66\u751f\u548c\u4e13\u4e1a\u4eba\u58eb\u638c\u63e1Python\u6280\u80fd\uff0c\u63d0\u5347\u4ed6\u4eec\u5728\u804c\u573a\u4e2d\u7684\u7ade\u4e89\u529b\u3002<\/p>\n<\/p>\n

\u6b64\u5916\uff0cPython\u7684\u5f00\u6e90\u793e\u533a\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u5b66\u4e60\u8d44\u6e90\u548c\u6559\u7a0b\uff0c\u5e2e\u52a9\u5b66\u4e60\u8005\u5feb\u901f\u5165\u95e8\u548c\u8fdb\u9636\u3002\u901a\u8fc7\u5728\u7ebf\u8bba\u575b\u548c\u793e\u4ea4\u5a92\u4f53\u5e73\u53f0\uff0c\u5b66\u4e60\u8005\u53ef\u4ee5\u4e0e\u5168\u7403\u7684Python\u5f00\u53d1\u8005\u4ea4\u6d41\u7ecf\u9a8c\uff0c\u89e3\u51b3\u5b66\u4e60\u4e2d\u7684\u95ee\u9898\u3002<\/p>\n<\/p>\n

\u4e03\u3001\u672a\u6765\u7684\u53d1\u5c55\u8d8b\u52bf<\/p>\n<\/p>\n

\u5c55\u671b\u672a\u6765\uff0cPython\u7684\u524d\u666f\u4f9d\u7136\u5149\u660e\u3002\u968f\u7740\u6280\u672f\u7684\u4e0d\u65ad\u8fdb\u6b65\u548c\u65b0\u5174\u9886\u57df\u7684\u51fa\u73b0\uff0cPython\u5c06\u7ee7\u7eed\u5728\u5404\u4e2a\u9886\u57df\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002<\/p>\n<\/p>\n

\u5728\u6570\u636e\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0cPython\u7684\u5e94\u7528\u5c06\u66f4\u52a0\u6df1\u5165\u3002\u968f\u7740\u6570\u636e\u91cf\u7684\u7206\u70b8\u6027\u589e\u957f\u548c\u8ba1\u7b97\u80fd\u529b\u7684\u63d0\u5347\uff0cPython\u7684\u5e93\u548c\u6846\u67b6\u5c06\u4e0d\u65ad\u66f4\u65b0\u548c\u4f18\u5316\uff0c\u4ee5\u5e94\u5bf9\u65b0\u7684\u6311\u6218\u548c\u9700\u6c42\u3002Python\u7684\u7075\u6d3b\u6027\u548c\u5e7f\u6cdb\u7684\u5e93\u652f\u6301\u5c06\u4f7f\u5f97\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u80fd\u591f\u66f4\u5feb\u5730\u5f00\u53d1\u548c\u90e8\u7f72\u521b\u65b0\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n

\u5728Web\u5f00\u53d1\u548c\u81ea\u52a8\u5316\u9886\u57df\uff0cPython\u7684\u5e94\u7528\u4e5f\u5c06\u7ee7\u7eed\u6269\u5927\u3002\u968f\u7740\u4e92\u8054\u7f51\u7684\u5feb\u901f\u53d1\u5c55\u548c\u4e1a\u52a1\u6d41\u7a0b\u7684\u81ea\u52a8\u5316\u9700\u6c42\u589e\u52a0\uff0cPython\u5c06\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u66f4\u591a\u7684\u5de5\u5177\u548c\u6846\u67b6\uff0c\u4ee5\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u548c\u7f29\u77ed\u5f00\u53d1\u5468\u671f\u3002<\/p>\n<\/p>\n

Python\u7684\u793e\u533a\u5c06\u7ee7\u7eed\u58ee\u5927\u548c\u6d3b\u8dc3\u3002\u901a\u8fc7\u793e\u533a\u7684\u52aa\u529b\uff0cPython\u5c06\u4e0d\u65ad\u63a8\u51fa\u65b0\u7684\u7248\u672c\u548c\u529f\u80fd\uff0c\u4fdd\u6301\u5176\u5728\u7f16\u7a0b\u8bed\u8a00\u4e2d\u7684\u9886\u5148\u5730\u4f4d\u3002\u793e\u533a\u6d3b\u52a8\u548c\u4f1a\u8bae\u5c06\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u66f4\u591a\u7684\u4ea4\u6d41\u548c\u5b66\u4e60\u673a\u4f1a\uff0c\u63a8\u52a8Python\u751f\u6001\u7cfb\u7edf\u7684\u5065\u5eb7\u53d1\u5c55\u3002<\/p>\n<\/p>\n

\u603b\u4e4b\uff0c2017\u5e74Python\u7684\u524d\u666f\u975e\u5e38\u4e50\u89c2\u3002\u51ed\u501f\u5176\u7b80\u6d01\u6027\u3001\u5f3a\u5927\u7684\u5e93\u652f\u6301\u3001\u5e7f\u6cdb\u7684\u5e94\u7528\u9886\u57df\u548c\u6d3b\u8dc3\u7684\u793e\u533a\uff0cPython\u5c06\u5728\u672a\u6765\u7684\u6280\u672f\u53d1\u5c55\u4e2d\u7ee7\u7eed\u53d1\u6325\u91cd\u8981\u4f5c\u7528\uff0c\u4e3a\u5f00\u53d1\u8005\u548c\u4f01\u4e1a\u5e26\u6765\u66f4\u591a\u7684\u521b\u65b0\u548c\u4ef7\u503c\u3002<\/p>\n<\/p>\n

\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n

2017\u5e74Python\u662f\u5426\u4ecd\u7136\u662f\u4e00\u4e2a\u503c\u5f97\u5b66\u4e60\u7684\u7f16\u7a0b\u8bed\u8a00\uff1f<\/strong>
\u57282017\u5e74\uff0cPython\u56e0\u5176\u7b80\u6d01\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u529f\u80fd\u800c\u53d7\u5230\u5e7f\u6cdb\u6b22\u8fce\u3002\u8bb8\u591a\u5f00\u53d1\u8005\u548c\u4f01\u4e1a\u5f00\u59cb\u91c7\u7528Python\u8fdb\u884c\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u548cWeb\u5f00\u53d1\u7b49\u9886\u57df\u7684\u9879\u76ee\u3002\u65e0\u8bba\u662f\u521d\u5b66\u8005\u8fd8\u662f\u7ecf\u9a8c\u4e30\u5bcc\u7684\u7a0b\u5e8f\u5458\uff0c\u5b66\u4e60Python\u90fd\u80fd\u4e3a\u4e2a\u4eba\u804c\u4e1a\u53d1\u5c55\u5e26\u6765\u79ef\u6781\u5f71\u54cd\u3002<\/p>\n

Python\u57282017\u5e74\u7684\u5e94\u7528\u9886\u57df\u6709\u54ea\u4e9b\uff1f<\/strong>
2017\u5e74\uff0cPython\u5728\u591a\u4e2a\u9886\u57df\u5c55\u73b0\u4e86\u5176\u5e7f\u6cdb\u7684\u5e94\u7528\u6f5c\u529b\u3002\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u662f\u6700\u70ed\u95e8\u7684\u5e94\u7528\u9886\u57df\u4e4b\u4e00\uff0c\u8bb8\u591a\u516c\u53f8\u90fd\u5728\u5229\u7528Python\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u6a21\u578b\u6784\u5efa\u3002\u6b64\u5916\uff0cWeb\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u811a\u672c\u548c\u7f51\u7edc\u722c\u866b\u7b49\u9886\u57df\u4e5f\u5bf9Python\u6709\u7740\u5f3a\u70c8\u7684\u9700\u6c42\u3002\u5bf9\u4e8e\u90a3\u4e9b\u5e0c\u671b\u8fdb\u5165\u8fd9\u4e9b\u9886\u57df\u7684\u4eba\u6765\u8bf4\uff0cPython\u65e0\u7591\u662f\u4e00\u4e2a\u7406\u60f3\u7684\u9009\u62e9\u3002<\/p>\n

\u5b66\u4e60Python\u7684\u6700\u4f73\u8d44\u6e90\u548c\u9014\u5f84\u662f\u4ec0\u4e48\uff1f<\/strong>
\u57282017\u5e74\uff0c\u6709\u8bb8\u591a\u4f18\u8d28\u7684\u8d44\u6e90\u53ef\u4ee5\u5e2e\u52a9\u5b66\u4e60\u8005\u638c\u63e1Python\u3002\u5728\u7ebf\u8bfe\u7a0b\u5982Coursera\u3001edX\u548cUdacity\u63d0\u4f9b\u7ed3\u6784\u5316\u7684\u5b66\u4e60\u8def\u5f84\uff0c\u9002\u5408\u4e0d\u540c\u6c34\u5e73\u7684\u5b66\u4e60\u8005\u3002\u6b64\u5916\uff0c\u4e66\u7c4d\u5982\u300aPython\u7f16\u7a0b\uff1a\u4ece\u5165\u95e8\u5230\u5b9e\u8df5\u300b\u548c\u300a\u6d41\u7545\u7684Python\u300b\u4e5f\u88ab\u5e7f\u6cdb\u63a8\u8350\u3002\u52a0\u5165\u7f16\u7a0b\u793e\u533a\uff0c\u5982Stack Overflow\u548cGitHub\uff0c\u53ef\u4ee5\u8ba9\u5b66\u4e60\u8005\u4e0e\u5176\u4ed6\u5f00\u53d1\u8005\u4e92\u52a8\uff0c\u5171\u4eab\u7ecf\u9a8c\u548c\u89e3\u51b3\u95ee\u9898\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"2017\u5e74\uff0cPython\u7684\u524d\u666f\u975e\u5e38\u5149\u660e\uff0c\u7531\u4e8e\u5176\u7b80\u5355\u6613\u5b66\u3001\u5f3a\u5927\u7684\u5e93\u652f\u6301\u3001\u5e7f\u6cdb\u7684\u5e94\u7528\u9886\u57df\u4ee5\u53ca\u6d3b\u8dc3\u7684\u793e\u533a\u652f\u6301\u3002Pyt […]","protected":false},"author":3,"featured_media":1004979,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004966"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1004966"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004966\/revisions"}],"predecessor-version":[{"id":1004981,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004966\/revisions\/1004981"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1004979"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1004966"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1004966"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1004966"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}