{"id":205391,"date":"2025-05-29T13:45:57","date_gmt":"2025-05-29T05:45:57","guid":{"rendered":"https:\/\/server.hk\/cnblog\/205391\/"},"modified":"2025-05-29T13:45:57","modified_gmt":"2025-05-29T05:45:57","slug":"%e6%95%b0%e6%8d%ae%e7%a7%91%e5%ad%a6%e9%a2%86%e5%9f%9f%e7%9a%84%e9%a1%b6%e7%ba%a7-python-%e5%ba%93%e6%98%af%e4%bb%80%e4%b9%88","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/205391\/","title":{"rendered":"\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u9876\u7ea7 Python \u5e93\u662f\u4ec0\u4e48"},"content":{"rendered":"

<\/b> <\/p>\n

\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u9876\u7ea7 Python \u5e93\u662f\u4ec0\u4e48<\/h1>\n

\u4eca\u5929\u7ed9\u5927\u5bb6\u5e26\u6765\u4e86\u300a\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u9876\u7ea7 Python \u5e93\u662f\u4ec0\u4e48\u300b<\/span>\uff0c\u5176\u4e2d\u6d89\u53ca\u5230\u7684\u77e5\u8bc6\u70b9\u5305\u62ec<\/span>\u7b49\u7b49\uff0c\u65e0\u8bba\u4f60\u662f\u5c0f\u767d\u8fd8\u662f\u8001\u624b\uff0c\u90fd\u9002\u5408\u770b\u4e00\u770b\u54e6~\u6709\u597d\u7684\u5efa\u8bae\u4e5f\u6b22\u8fce\u5927\u5bb6\u5728\u8bc4\u8bba\u7559\u8a00\uff0c\u82e5\u662f\u770b\u5b8c\u6709\u6240\u6536\u83b7\uff0c\u4e5f\u5e0c\u671b\u5927\u5bb6\u80fd\u591a\u591a\u70b9\u8d5e\u652f\u6301\u5440\uff01\u4e00\u8d77\u52a0\u6cb9\u5b66\u4e60~<\/p>\n

<\/p>\n

\u7b80\u4ecb
\u5bf9\u4e8e\u6570\u636e\u79d1\u5b66\u7684\u521d\u5b66\u8005\u6765\u8bf4\uff0c\u4e86\u89e3\u9876\u7ea7 Python \u5e93\u53ef\u4ee5\u5e2e\u52a9\u60a8\u53d6\u5f97\u826f\u597d\u7684\u5f00\u7aef\u3002\u73ed\u52a0\u7f57\u5c14\u7684\u9876\u7ea7 Python \u57f9\u8bad \u6bcf\u4e2a\u5e93\u90fd\u6709\u7279\u5b9a\u7684\u89d2\u8272\uff0c\u53ef\u4ee5\u66f4\u8f7b\u677e\u5730\u7ba1\u7406\u6570\u636e\u64cd\u4f5c\u3001\u53ef\u89c6\u5316\u3001\u7edf\u8ba1\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u7b49\u4efb\u52a1\u3002\u4ee5\u4e0b\u662f\u6bcf\u4e2a\u6570\u636e\u79d1\u5b66\u521d\u5b66\u8005\u90fd\u5e94\u8be5\u4e86\u89e3\u7684 10 \u4e2a\u6700\u4f73 Python \u5e93\u7684\u4ecb\u7ecd\uff1a<\/p>\n

    \n
  1. NumPy \u7b80\u4ecb\uff1aNumPy \u662f Python \u6570\u636e\u79d1\u5b66\u7684\u57fa\u7840\uff0c\u4e3a\u5904\u7406\u5927\u578b\u6570\u636e\u6570\u7ec4\u548c\u77e9\u9635\u4ee5\u53ca\u5bf9\u5176\u6267\u884c\u6570\u5b66\u8fd0\u7b97\u63d0\u4f9b\u652f\u6301\u3002 \u7528\u9014\uff1a\u5bf9\u4e8e\u6570\u503c\u8ba1\u7b97\u548c\u5904\u7406\u591a\u7ef4\u6570\u636e\u7ed3\u6784\u81f3\u5173\u91cd\u8981\u3002<\/li>\n
  2. \u718a\u732b \u7b80\u4ecb\uff1aPandas \u7528\u4e8e\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\uff0c\u4f7f\u5904\u7406\u548c\u8f6c\u6362\u7ed3\u6784\u5316\u6570\u636e\uff08\u4f8b\u5982\u8868\u6216\u65f6\u95f4\u5e8f\u5217\uff09\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002 \u7528\u9014\uff1a\u5b83\u975e\u5e38\u9002\u5408\u52a0\u8f7d\u3001\u6e05\u7406\u548c\u5206\u6790\u6570\u636e\u96c6\uff0c\u8fd9\u901a\u5e38\u662f\u4efb\u4f55\u6570\u636e\u79d1\u5b66\u9879\u76ee\u7684\u7b2c\u4e00\u6b65\u3002<\/li>\n
  3. Matplotlib \u7b80\u4ecb\uff1aMatplotlib \u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u57fa\u672c\u53ef\u89c6\u5316\u7684\u57fa\u7840\u5e93\uff0c\u5141\u8bb8\u60a8\u751f\u6210\u6298\u7ebf\u56fe\u3001\u6761\u5f62\u56fe\u3001\u76f4\u65b9\u56fe\u548c\u6563\u70b9\u56fe\u7b49\u56fe\u8868\u3002 \u9876\u7ea7 Python \u57f9\u8bad\u5b66\u9662 \u7528\u9014\uff1a\u975e\u5e38\u9002\u5408\u53ef\u89c6\u5316\u6570\u636e\u8d8b\u52bf\u548c\u7ed3\u679c\uff0c\u4f7f\u5176\u6210\u4e3a\u6570\u636e\u5448\u73b0\u7684\u91cd\u8981\u5de5\u5177\u3002<\/li>\n
  4. Seaborn \u7b80\u4ecb\uff1aSeaborn \u5efa\u7acb\u5728 Matplotlib \u4e4b\u4e0a\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u7b80\u5316\u521b\u5efa\u5177\u6709\u89c6\u89c9\u5438\u5f15\u529b\u7684\u7edf\u8ba1\u56fe\u548c\u590d\u6742\u53ef\u89c6\u5316\u7684\u8fc7\u7a0b\u3002 \u7528\u9014\uff1a\u975e\u5e38\u9002\u5408\u521b\u5efa\u70ed\u56fe\u3001\u5206\u7c7b\u56fe\u548c\u66f4\u8be6\u7ec6\u7684\u7edf\u8ba1\u53ef\u89c6\u5316\u3002<\/li>\n
  5. SciPy \u7b80\u4ecb\uff1aSciPy \u5efa\u7acb\u5728 NumPy \u7684\u57fa\u7840\u4e0a\uff0c\u4e3a\u79d1\u5b66\u548c\u6280\u672f\u8ba1\u7b97\u63d0\u4f9b\u9644\u52a0\u529f\u80fd\uff0c\u4f8b\u5982\u7edf\u8ba1\u3001\u4f18\u5316\u548c\u4fe1\u53f7\u5904\u7406\u3002\u73ed\u52a0\u7f57\u5c14\u7684\u9876\u7ea7 Python \u57f9\u8bad \u7528\u9014\uff1a\u5f53\u60a8\u9700\u8981\u8d85\u51fa NumPy \u63d0\u4f9b\u7684\u66f4\u9ad8\u7ea7\u6570\u5b66\u51fd\u6570\u65f6\u5f88\u6709\u7528\u3002<\/li>\n
  6. scikit-\u5b66\u4e60 \u7b80\u4ecb\uff1aScikit-learn \u662f Python \u4e2d\u6700\u6d41\u884c\u7684\u673a\u5668\u5b66\u4e60\u5e93\u4e4b\u4e00\uff0c\u63d0\u4f9b\u4e86\u7528\u4e8e\u5b9e\u73b0\u56de\u5f52\u3001\u5206\u7c7b\u548c\u805a\u7c7b\u7b49\u7b97\u6cd5\u7684\u7b80\u5355\u5de5\u5177\u3002 \u7528\u9014\uff1a\u975e\u5e38\u9002\u5408\u521d\u5b66\u8005\u5f00\u59cb\u6784\u5efa\u548c\u8bc4\u4f30\u57fa\u672c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002<\/li>\n
  7. TensorFlow \u7b80\u4ecb\uff1aTensorFlow \u7531 Google \u5f00\u53d1\uff0c\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5e93\uff0c\u7528\u4e8e\u521b\u5efa\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u7279\u522b\u662f\u6d89\u53ca\u795e\u7ecf\u7f51\u7edc\u7684\u4efb\u52a1\u3002\u73ed\u52a0\u7f57\u5c14\u7684\u9876\u7ea7 Python \u57f9\u8bad \u7528\u9014\uff1a\u975e\u5e38\u9002\u5408\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u5176\u4ed6\u9700\u8981\u590d\u6742\u6a21\u578b\u7684\u9886\u57df\u7684\u9879\u76ee\u3002<\/li>\n
  8. \u51ef\u62c9\u65af \u7b80\u4ecb\uff1aKeras \u63d0\u4f9b\u4e86\u7528\u4e8e\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u7684\u9ad8\u7ea7\u63a5\u53e3\uff0c\u5b83\u8fd0\u884c\u5728 TensorFlow \u4e4b\u4e0a\u3002\u5b83\u7684\u7b80\u5355\u6027\u4f7f\u5176\u6210\u4e3a\u6df1\u5ea6\u5b66\u4e60\u521d\u5b66\u8005\u7684\u6d41\u884c\u9009\u62e9\u3002 \u7528\u9014\uff1a\u53ef\u7528\u4e8e\u5feb\u901f\u521b\u5efa\u548c\u8bd5\u9a8c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u65e0\u9700\u6df1\u539a\u7684\u6280\u672f\u77e5\u8bc6\u3002<\/li>\n
  9. \u7edf\u8ba1\u6a21\u578b \u7b80\u4ecb\uff1aStatsmodels \u63d0\u4f9b\u7edf\u8ba1\u5efa\u6a21\u5de5\u5177\uff0c\u5141\u8bb8\u60a8\u6267\u884c\u590d\u6742\u7684\u7edf\u8ba1\u6d4b\u8bd5\u548c\u5206\u6790\u3002 \u7528\u9014\uff1a\u975e\u5e38\u9002\u5408\u90a3\u4e9b\u5728\u6570\u636e\u79d1\u5b66\u5de5\u4f5c\u4e2d\u9700\u8981\u8be6\u7ec6\u7edf\u8ba1\u6d4b\u8bd5\uff08\u4f8b\u5982\u5047\u8bbe\u68c0\u9a8c\u548c\u65f6\u95f4\u5e8f\u5217\u5206\u6790\uff09\u7684\u4eba\u3002<\/li>\n
  10. \u9634\u8c0b \u7b80\u4ecb\uff1aPlotly \u662f\u4e00\u4e2a\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u53ef\u521b\u5efa\u53ef\u8f7b\u677e\u5171\u4eab\u548c\u5d4c\u5165\u7684\u4ea4\u4e92\u5f0f\u3001\u57fa\u4e8e Web \u7684\u53ef\u89c6\u5316\u6548\u679c\u3002 \u7528\u9014\uff1a\u975e\u5e38\u9002\u5408\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u548c\u4eea\u8868\u677f\uff0c\u4f7f\u5176\u6210\u4e3a\u5411\u4ed6\u4eba\u5c55\u793a\u53d1\u73b0\u7684\u7edd\u4f73\u9009\u62e9\u3002 \u8fd9\u4e9b\u5e93\u5982\u4f55\u7ec4\u5408\u5728\u4e00\u8d77 \u6570\u636e\u5904\u7406\uff1aNumPy \u548c Pandas \u5bf9\u4e8e\u5904\u7406\u548c\u51c6\u5907\u6570\u636e\u81f3\u5173\u91cd\u8981\u3002 \u53ef\u89c6\u5316\uff1aMatplotlib\u3001Seaborn \u548c Plotly \u975e\u5e38\u9002\u5408\u53ef\u89c6\u5316\u6570\u636e\u6d1e\u5bdf\u3002 \u7edf\u8ba1\u5206\u6790\uff1aSciPy \u548c Statsmodels \u63d0\u4f9b\u5206\u6790\u6240\u9700\u7684\u6570\u5b66\u548c\u7edf\u8ba1\u51fd\u6570\u3002 \u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\uff1aScikit-learn\u3001TensorFlow \u548c Keras \u63d0\u4f9b\u7528\u4e8e\u6784\u5efa\u6a21\u578b\u548c\u9884\u6d4b\u7ed3\u679c\u7684\u5de5\u5177\u3002 \u8fd9\u4e9b\u5e93\u5171\u540c\u6784\u6210\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\u5305\uff0c\u6db5\u76d6\u4e86\u4ece\u6570\u636e\u9884\u5904\u7406\u5230\u53ef\u89c6\u5316\u548c\u673a\u5668\u5b66\u4e60\u7684\u6574\u4e2a\u6570\u636e\u79d1\u5b66\u5de5\u4f5c\u6d41\u7a0b\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u4e00\u4e2a\u9002\u5408\u521d\u5b66\u8005\u7684\u754c\u9762\uff0c\u56e0\u6b64\u60a8\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528\uff0c\u800c\u4e0d\u4f1a\u88ab\u590d\u6742\u7684\u4ee3\u7801\u6df9\u6ca1\u3002\u73ed\u52a0\u7f57\u5c14\u7684\u9876\u7ea7 Python \u57f9\u8bad \u7ed3\u8bba \u5230 2024 \u5e74\uff0cPython \u5bf9\u4e8e\u8bb8\u591a\u4e0d\u540c\u884c\u4e1a\u7684\u804c\u4e1a\u53d1\u5c55\u5c06\u6bd4\u4ee5\u5f80\u4efb\u4f55\u65f6\u5019\u90fd\u66f4\u52a0\u91cd\u8981\u3002\u6b63\u5982\u6211\u4eec\u6240\u770b\u5230\u7684\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528 Python \u8d70\u4e0a\u51e0\u6761\u4ee4\u4eba\u5174\u594b\u7684\u804c\u4e1a\u9053\u8def\uff0c\u6bcf\u4e00\u6761\u90fd\u63d0\u4f9b\u4e86\u5904\u7406\u6570\u636e\u548c\u63a8\u52a8\u6709\u5f71\u54cd\u529b\u7684\u51b3\u7b56\u7684\u72ec\u7279\u65b9\u6cd5\u3002\u5728 NearLearn\uff0c\u6211\u4eec\u4e86\u89e3\u6570\u636e\u7684\u529b\u91cf\uff0c\u5e76\u81f4\u529b\u4e8e\u63d0\u4f9b\u4e00\u6d41\u7684\u57f9\u8bad\u89e3\u51b3\u65b9\u6848\uff0c\u4f7f\u4e13\u4e1a\u4eba\u5458\u80fd\u591f\u6709\u6548\u5730\u5229\u7528\u8fd9\u79cd\u529b\u91cf\u3002\u6211\u4eec\u57f9\u8bad\u4e2a\u4eba\u7684\u6700\u5177\u53d8\u9769\u6027\u7684\u5de5\u5177\u4e4b\u4e00\u662f Python\u3002<\/li>\n<\/ol>\n

    \u4ee5\u4e0a\u5c31\u662f\u672c\u6587\u7684\u5168\u90e8\u5185\u5bb9\u4e86\uff0c\u662f\u5426\u6709\u987a\u5229\u5e2e\u52a9\u4f60\u89e3\u51b3\u95ee\u9898\uff1f\u82e5\u662f\u80fd\u7ed9\u4f60\u5e26\u6765\u5b66\u4e60\u4e0a\u7684\u5e2e\u52a9\uff0c\u8bf7\u5927\u5bb6\u591a\u591a\u652f\u6301\uff01\u66f4\u591a\u5173\u4e8e\u6587\u7ae0\u7684\u76f8\u5173\u77e5\u8bc6\uff0c\u4e5f\u53ef\u5173\u6ce8\u516c\u4f17\u53f7\u3002<\/p>\n

    \u7248\u672c\u58f0\u660e \u672c\u6587\u8f6c\u8f7d\u4e8e\uff1adev.to \u5982\u6709\u4fb5\u72af\uff0c\u8bf7\u8054\u7cfb\u5220\u9664<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u9876\u7ea7 Python...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4925],"tags":[],"class_list":["post-205391","post","type-post","status-publish","format-standard","hentry","category-4925"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/205391","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=205391"}],"version-history":[{"count":0,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/205391\/revisions"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=205391"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=205391"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=205391"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}