{"id":536495,"date":"2025-01-03T04:31:05","date_gmt":"2025-01-03T03:31:05","guid":{"rendered":"https:\/\/blog.jetbrains.com\/?post_type=pycharm&#038;p=536495"},"modified":"2025-01-03T04:31:13","modified_gmt":"2025-01-03T03:31:13","slug":"the-state-of-data-science","status":"publish","type":"pycharm","link":"https:\/\/blog.jetbrains.com\/zh-hans\/pycharm\/2025\/01\/the-state-of-data-science\/","title":{"rendered":"2024 \u6570\u636e\u79d1\u5b66\u73b0\u72b6\uff1a6 \u5927\u91cd\u8981\u6570\u636e\u8d8b\u52bf"},"content":{"rendered":"<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-536499 size-full\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/01\/pc-featured_blog_1280x720_en-1.png\" alt=\"\" width=\"2560\" height=\"1440\" \/><\/figure>\n<p>\u751f\u6210\u5f0f AI \u548c LLM \u662f\u4eca\u5e74\u7684\u70ed\u95e8\u4e3b\u9898\uff0c\u4f46\u5b83\u4eec\u662f\u5426\u6b63\u5f71\u54cd\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u7684\u53d1\u5c55\u8d8b\u52bf\uff1f \u6570\u636e\u79d1\u5b66\u9886\u57df\u6709\u54ea\u4e9b\u65b0\u8d8b\u52bf\u503c\u5f97\u5173\u6ce8\uff1f JetBrains \u6bcf\u5e74\u90fd\u4f1a\u4e0e <a href=\"https:\/\/www.python.org\/\" target=\"_blank\" rel=\"noopener\">Python Software Foundation<\/a> \u5408\u4f5c\u5f00\u5c55 Python \u5f00\u53d1\u8005\u8c03\u67e5\uff0c\u8be5\u8c03\u67e5\u5c06\u4e3a\u8fd9\u4e9b\u95ee\u9898\u63d0\u4f9b\u4e00\u4e9b\u6709\u7528\u7684\u6d1e\u5bdf\u3002<\/p>\n<p><a href=\"https:\/\/lp.jetbrains.com\/zh-cn\/python-developers-survey-2023\/\" target=\"_blank\" rel=\"noopener\">\u6700\u65b0\u4e00\u671f\u8c03\u67e5\u7684\u7ed3\u679c<\/a>\u5728 2023 \u5e74 11 \u6708\u5230 2024 \u5e74 2 \u6708\u4e4b\u95f4\u6536\u96c6\uff0c\u65b0\u589e\u4e86<a href=\"https:\/\/lp.jetbrains.com\/zh-cn\/python-developers-survey-2023\/#data-science\" target=\"_blank\" rel=\"noopener\">\u6570\u636e\u79d1\u5b66<\/a>\u90e8\u5206\u3002 \u6b64\u90e8\u5206\u66f4\u5168\u9762\u5730\u63d0\u4f9b\u4e86\u8fc7\u53bb\u4e00\u5e74\u7684\u6570\u636e\u79d1\u5b66\u53d1\u5c55\u8d8b\u52bf\uff0c\u5e76\u5f3a\u8c03\u4e86 Python \u5728\u8fd9\u4e00\u9886\u57df\u7684\u91cd\u8981\u6027\u3002\u00a0<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531518\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/1-2x.png\" alt=\"\u6309\u5e74\u663e\u793a\u7684 Python \u4f7f\u7528\u7387\" width=\"1700\" height=\"1188\" \/><\/figure>\n<p>\u867d\u7136\u6709 48% \u7684 Python \u5f00\u53d1\u8005\u4f1a\u53c2\u4e0e\u6570\u636e\u63a2\u7d22\u548c\u5904\u7406\uff0c\u4f46\u4f7f\u7528 Python \u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u53d7\u8bbf\u8005\u767e\u5206\u6bd4\u5374\u4ece 2022 \u5e74\u7684 51% \u964d\u81f3 2023 \u5e74\u7684 44%\u3002 \u4f7f\u7528 Python \u8fdb\u884c\u673a\u5668\u5b66\u4e60\u7684\u53d7\u8bbf\u8005\u767e\u5206\u6bd4\u4ece 2022 \u5e74\u7684 36% \u964d\u81f3 2023 \u5e74\u7684 34%\u3002 \u540c\u65f6\uff0c27% \u7684\u53d7\u8bbf\u8005\u4f7f\u7528 Python \u8fdb\u884c\u6570\u636e\u5de5\u7a0b\uff0c8% \u7684\u53d7\u8bbf\u8005\u4f7f\u7528 Python \u8fdb\u884c MLOps\uff0c\u8fd9\u4e24\u4e2a\u65b0\u7c7b\u522b\u4e8e 2023 \u5e74\u52a0\u5165\u5230\u8c03\u67e5\u4e2d\u3002\u00a0<\/p>\n<p>\u6211\u4eec\u6765\u4ed4\u7ec6\u7814\u7a76\u4e00\u4e0b\u8c03\u67e5\u7ed3\u679c\u7684\u8d8b\u52bf\uff0c\u4ee5\u4e86\u89e3\u8fd9\u4e9b\u6570\u5b57\u80cc\u540e\u8574\u542b\u7684\u4fe1\u606f\uff0c\u4ece\u800c\u66f4\u597d\u5730\u7406\u89e3\u5b83\u4eec\u7684\u542b\u4e49\u3002 \u8bf7\u7ee7\u7eed\u9605\u8bfb\uff0c\u4e86\u89e3\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u6700\u65b0\u53d1\u5c55\uff0c\u4e3a 2025 \u5e74\u505a\u597d\u51c6\u5907\u3002<\/p>\n<h2 class=\"wp-block-heading\">\u6570\u636e\u5904\u7406\uff1apandas \u4f9d\u7136\u662f\u9996\u9009\uff0c\u4f46 Polars \u6b63\u62a2\u5360\u4efd\u989d<\/h2>\n<p>\u6570\u636e\u5904\u7406\u662f\u6570\u636e\u79d1\u5b66\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002 \u62e5\u6709 15 \u5e74\u5386\u53f2\u7684 <a href=\"https:\/\/pandas.pydata.org\/\" target=\"_blank\" rel=\"noopener\">pandas<\/a> \u9879\u76ee\u5728\u6700\u5e38\u7528\u7684\u6570\u636e\u5904\u7406\u5de5\u5177\u540d\u5355\u4e2d\u4ecd\u4f4d\u5c45\u524d\u5217\u3002 77% \u7684\u53d7\u8bbf\u8005\u4f7f\u7528\u5b83\u8fdb\u884c\u6570\u636e\u63a2\u7d22\u548c\u5904\u7406\u3002 \u4f5c\u4e3a\u4e00\u4e2a\u6210\u719f\u7684\u9879\u76ee\uff0c\u5b83\u7684 API \u5f88\u7a33\u5b9a\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728\u7f51\u4e0a\u627e\u5230\u5f88\u591a\u6709\u6548\u793a\u4f8b\u3002 pandas \u4ecd\u662f\u663e\u800c\u6613\u89c1\u7684\u9009\u62e9\u6beb\u4e0d\u8ba9\u4eba\u610f\u5916\u3002 \u4f5c\u4e3a\u7531 <a href=\"https:\/\/numfocus.org\/\" target=\"_blank\" rel=\"noopener\">NumFOCUS<\/a> \u8d5e\u52a9\u7684\u9879\u76ee\uff0cpandas \u5df2\u5411\u793e\u533a\u8bc1\u660e\u5176\u53ef\u6301\u7eed\u6027\uff0c\u5b83\u7684\u6cbb\u7406\u6a21\u5f0f\u5df2\u83b7\u5f97\u7528\u6237\u4fe1\u4efb\u3002 \u5bf9\u4e8e\u4ecd\u5728\u5b66\u4e60\u6570\u636e\u5904\u7406\u7684\u521d\u5b66\u8005\u6765\u8bf4\uff0cpandas \u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u5c5e\u4e8e\u4e0d\u4f1a\u5feb\u901f\u53d8\u5316\u7684\u7a33\u5b9a\u9879\u76ee\u3002<\/p>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u5c06\u81ea\u5df1\u5b9a\u4f4d\u4e3a\u65b0\u65f6\u4ee3 DataFrame \u7684 <a href=\"https:\/\/pola.rs\/\" target=\"_blank\" rel=\"noopener\">Polars<\/a> \u51ed\u501f\u5176\u5728\u901f\u5ea6\u548c\u5e76\u884c\u5904\u7406\u65b9\u9762\u7684\u4f18\u52bf\u5728\u8fd1\u4e24\u5e74\u5907\u53d7\u5173\u6ce8\u3002 2023 \u5e74\uff0c\u4e00\u5bb6\u7531 Polars \u7684\u521b\u59cb\u4eba Ritchie Vink \u9886\u5bfc\u7684\u516c\u53f8<a href=\"https:\/\/pola.rs\/posts\/company-announcement\/\" target=\"_blank\" rel=\"noopener\">\u6210\u7acb<\/a>\uff0c\u4ee5\u652f\u6301\u8be5\u9879\u76ee\u7684\u53d1\u5c55\u3002 \u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd Polars \u5c06\u80fd\u591f\u4fdd\u6301\u5176\u5feb\u901f\u53d1\u5c55\u901f\u5ea6\u3002 2024 \u5e74 7 \u6708\uff0c1.0 \u7248\u672c\u7684 Polars <a href=\"https:\/\/pola.rs\/posts\/announcing-polars-1\/\" target=\"_blank\" rel=\"noopener\">\u53d1\u5e03<\/a>\u3002 \u540e\u6765\uff0cPolars \u6269\u5c55\u4e86\u4e0e <a href=\"https:\/\/pola.rs\/posts\/polars-hugging-face\/\" target=\"_blank\" rel=\"noopener\">Hugging Face<\/a> \u548c <a href=\"https:\/\/pola.rs\/posts\/gpu-engine-release\/\" target=\"_blank\" rel=\"noopener\">NVIDIA RAPIDS<\/a> \u7b49\u5176\u4ed6\u70ed\u95e8\u6570\u636e\u79d1\u5b66\u5de5\u5177\u7684\u517c\u5bb9\u6027\u3002 \u5b83\u4e5f\u50cf pandas \u4e00\u6837\u63d0\u4f9b\u4e86\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7ed8\u56fe\u540e\u7aef\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u5bf9\u4e8e\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u4e13\u4e1a\u4eba\u58eb\uff0c<a href=\"https:\/\/blog.jetbrains.com\/pycharm\/2024\/06\/how-to-move-from-pandas-to-polars\/\">\u8f6c\u4e3a\u4f7f\u7528 Polars<\/a> \u4f1a\u5e26\u6765\u4e00\u5b9a\u7684\u4f18\u52bf\u3002 \u968f\u7740\u9879\u76ee\u7684\u6210\u719f\uff0c\u5b83\u53ef\u4ee5\u6210\u4e3a\u6570\u636e\u79d1\u5b66\u5de5\u4f5c\u6d41\u4e2d\u7684\u627f\u8f7d\u5de5\u5177\uff0c\u5e76\u4e14\u53ef\u4ee5\u7528\u4e8e\u66f4\u5feb\u5730\u5904\u7406\u66f4\u591a\u6570\u636e\u3002 \u5728 2023 \u5e74\u5ea6\u7684\u8c03\u67e5\u4e2d\uff0c10% \u7684\u53d7\u8bbf\u8005\u8868\u793a\u81ea\u5df1\u6b63\u5728\u4f7f\u7528 Polars \u4f5c\u4e3a\u6570\u636e\u5904\u7406\u5de5\u5177\u3002 \u4e0d\u96be\u60f3\u8c61\uff0c\u8fd9\u4e00\u6570\u5b57\u5728\u4eca\u5e74\u7684\u8c03\u67e5\u4e2d\u5c06\u66f4\u9ad8\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531530\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/2-2x.png\" alt=\"\u6570\u636e\u63a2\u7d22\u548c\u5904\u7406\u5de5\u5177\" width=\"1700\" height=\"1292\" \/><\/figure>\n<p>\u65e0\u8bba\u60a8\u662f\u804c\u573a\u4e13\u4e1a\u4eba\u58eb\uff0c\u8fd8\u662f\u521a\u521a\u5f00\u59cb\u5904\u7406\u7b2c\u4e00\u4e2a\u6570\u636e\u96c6\u7684\u65b0\u624b\uff0c\u62e5\u6709\u4e00\u4e2a\u53ef\u4ee5\u63d0\u5347\u5de5\u4f5c\u6109\u60a6\u611f\u7684\u9ad8\u6548\u5de5\u5177\u90fd\u975e\u5e38\u91cd\u8981\u3002 \u5229\u7528 <a href=\"https:\/\/www.jetbrains.com.cn\/pycharm\/data-science\/\" target=\"_blank\" rel=\"noopener\">PyCharm<\/a>\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u4ea4\u4e92\u5f0f\u8868\u68c0\u67e5\u6570\u636e\uff0c\u5bf9\u8868\u8fdb\u884c\u6eda\u52a8\u3001\u6392\u5e8f\u3001\u7b5b\u9009\u3001\u5c06\u5176\u8f6c\u6362\u4e3a\u7ed8\u56fe\uff0c\u6216\u4f7f\u7528\u8868\u751f\u6210\u70ed\u56fe\u3002 \u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u83b7\u5f97\u6bcf\u4e00\u5217\u7684\u5206\u6790\u6570\u636e\uff0c\u5e76\u4f7f\u7528 AI \u8f85\u52a9\u89e3\u91ca DataFrame \u6216\u521b\u5efa\u53ef\u89c6\u5316\u6548\u679c\u3002 \u9664\u4e86 pandas \u548c Polars \u4e4b\u5916\uff0cPyCharm \u8fd8\u4e3a Hugging Face \u6570\u636e\u96c6\u3001NumPy\u3001PyTorch \u548c TensorFlow \u63d0\u4f9b\u6b64\u529f\u80fd\u3002<\/p>\n<div class=\"buttons\">\n<div class=\"buttons__row\"><a class=\"btn\" href=\"https:\/\/www.jetbrains.com.cn\/pycharm\/data-science\/\" target=\"\" rel=\"noopener\">\u514d\u8d39\u8bd5\u7528 PyCharm<\/a><\/div>\n<\/div>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-532499\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/12\/Screen-Recording-2024-09-29-at-12.05.11-1.gif\" alt=\"PyCharm 2024.2.2 Pro \u4e2d\u7684\u4ea4\u4e92\u5f0f\u8868\u63d0\u4f9b\u4e86\u7528\u4e8e\u68c0\u67e5 pandas \u548c Polars DataFrame \u7684\u5de5\u5177\" width=\"2036\" height=\"880\" \/>\n<figcaption class=\"wp-element-caption\"><em>PyCharm 2024.2.2 Pro \u4e2d\u7684\u4ea4\u4e92\u5f0f\u8868\u63d0\u4f9b\u4e86\u7528\u4e8e\u68c0\u67e5 pandas \u548c Polars DataFrame \u7684\u5de5\u5177<\/em><\/figcaption>\n<\/figure>\n<p>Polars \u7684\u666e\u53ca\u50ac\u751f\u4e86\u540d\u4e3a <a href=\"https:\/\/github.com\/narwhals-dev\/narwhals\" target=\"_blank\" rel=\"noopener\">Narwhals<\/a> \u7684\u65b0\u9879\u76ee\u3002 Narwhals \u72ec\u7acb\u4e8e pandas \u548c Polars\uff0c\u65e8\u5728\u5408\u5e76\u8fd9\u4e24\u79cd\u5de5\u5177\uff08\u4ee5\u53ca\u8bb8\u591a\u5176\u4ed6\u5de5\u5177\uff09\u7684 API\u3002 \u7531\u4e8e\u8fd9\u4e00\u9879\u76ee\u5c1a\u5904\u4e8e\u8d77\u6b65\u9636\u6bb5\uff082024 \u5e74 2 \u6708\u542f\u52a8\uff09\uff0c\u8fd8\u672a\u51fa\u73b0\u5728\u6211\u4eec\u7684\u6700\u53d7\u6b22\u8fce\u6570\u636e\u5904\u7406\u5de5\u5177\u540d\u5355\u4e2d\uff0c\u4f46\u6211\u4eec\u8ba4\u4e3a\u672a\u6765\u51e0\u5e74\u5b83\u7684\u540d\u5b57\u4f1a\u51fa\u73b0\u5728\u540d\u5355\u4e2d\u3002<\/p>\n<p>\u8fd8\u503c\u5f97\u4e00\u63d0\u7684\u662f <a href=\"https:\/\/spark.apache.org\/docs\/latest\/api\/python\/index.html\" target=\"_blank\" rel=\"noopener\">Spark<\/a> (16%) \u548c <a href=\"https:\/\/www.dask.org\/\" target=\"_blank\" rel=\"noopener\">Dask<\/a> (7%)\uff0c\u5f97\u76ca\u4e8e\u5e76\u884c\u5904\u7406\u80fd\u529b\uff0c\u5b83\u4eec\u5bf9\u4e8e\u5904\u7406\u5927\u91cf\u6570\u636e\u975e\u5e38\u6709\u7528\u3002 \u8bbe\u7f6e\u8fd9\u4e9b\u5de5\u5177\u8981\u5177\u5907\u8f83\u9ad8\u7684\u5de5\u7a0b\u80fd\u529b\u3002 \u4f46\u968f\u7740\u9879\u76ee\u6240\u4f9d\u8d56\u7684\u6570\u636e\u91cf\u65e5\u76ca\u8d85\u51fa\u4f20\u7edf Python \u7a0b\u5e8f\u6240\u80fd\u5904\u7406\u7684\u9650\u503c\uff0c\u8fd9\u4e9b\u5de5\u5177\u5c06\u53d8\u5f97\u66f4\u4e3a\u91cd\u8981\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u770b\u5230\u8fd9\u4e9b\u6570\u5b57\u7684\u589e\u957f\u3002<\/p>\n<h2 class=\"wp-block-heading\">\u6570\u636e\u53ef\u89c6\u5316\uff1aHoloViz Panel \u660e\u5e74\u662f\u5426\u4f1a\u8d76\u8d85 Plotly Dash \u548c Streamlit\uff1f<\/h2>\n<p>\u6570\u636e\u79d1\u5b66\u5bb6\u5fc5\u987b\u80fd\u591f\u521b\u5efa\u62a5\u544a\u5e76\u5411\u4f01\u4e1a\u89e3\u91ca\u5176\u53d1\u73b0\u3002 \u5df2\u7ecf\u5f00\u53d1\u4e86\u591a\u79cd\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u4eea\u8868\u677f\u5de5\u5177\uff0c\u4ee5\u642d\u914d\u4f7f\u7528 Python\u3002 \u6839\u636e\u8c03\u67e5\u7ed3\u679c\uff0c\u6700\u53d7\u6b22\u8fce\u7684\u5de5\u5177\u662f Plotly Dash\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531541\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/3-2x.png\" alt=\"\u7528\u4e8e\u521b\u5efa\u4eea\u8868\u677f\u7684\u5e93\" width=\"1700\" height=\"1222\" \/><\/figure>\n<p><a href=\"https:\/\/plotly.com\/\" target=\"_blank\" rel=\"noopener\">Plotly<\/a> \u5728\u6570\u636e\u79d1\u5b66\u793e\u533a\u4e2d\u4ee5 <a href=\"https:\/\/plotly.com\/ggplot2\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a> \u5e93\u8457\u79f0\uff0cggplot2 \u662f\u5907\u53d7 R \u8bed\u8a00\u7528\u6237\u6b22\u8fce\u7684\u53ef\u89c6\u5316\u5e93\u3002 \u81ea\u4ece Python \u6210\u4e3a\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u70ed\u95e8\u8bed\u8a00\u540e\uff0cPlotly \u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e2a Python \u5e93\uff0c\u8fd9\u4e3a\u60a8\u5728 Python \u4e2d\u63d0\u4f9b\u4e86\u7c7b\u4f3c\u4e8e ggplot2 \u7684\u4f53\u9a8c\u3002 <a href=\"https:\/\/dash.plotly.com\/\" target=\"_blank\" rel=\"noopener\">Dash<\/a> \u662f\u4e00\u4e2a\u7531 Plotly \u5f00\u53d1\u7684\u7528\u4e8e\u6784\u5efa\u53cd\u5e94\u5f0f Web \u5e94\u7528\u7684 Python \u6846\u67b6\uff0c\u8fd1\u5e74\u6765\uff0c\u5b83\u5df2\u6210\u4e3a\u4e60\u60ef\u4f7f\u7528 Plotly \u5e76\u9700\u8981\u6784\u5efa\u4ea4\u4e92\u5f0f\u4eea\u8868\u677f\u7684\u7528\u6237\u7684\u9996\u9009\u3002 \u4e0d\u8fc7\uff0c\u5728\u8bbe\u8ba1\u5e94\u7528\u7684\u5e03\u5c40\u65f6\uff0c\u8981\u4f7f\u7528 Dash \u7684 API\uff0c\u9700\u8981\u5bf9 HTML \u4e2d\u4f7f\u7528\u7684\u5143\u7d20\u6709\u4e00\u4e9b\u57fa\u672c\u4e86\u89e3\u3002 \u5bf9\u4e8e\u524d\u7aef\u7ecf\u9a8c\u4e0d\u8db3\u7684\u7528\u6237\uff0c\u4ed6\u4eec\u53ef\u80fd\u9700\u8981\u514b\u670d\u8fd9\u4e00\u969c\u788d\uff0c\u7136\u540e\u624d\u80fd\u6709\u6548\u4f7f\u7528 Dash\u3002<\/p>\n<p>\u201c\u6700\u4f73\u53ef\u89c6\u5316\u4eea\u8868\u677f\u201d\u7684\u7b2c\u4e8c\u540d\u662f Streamlit\uff0c<a href=\"https:\/\/www.snowflake.com\/en\/blog\/snowflake-to-acquire-streamlit\/\" target=\"_blank\" rel=\"noopener\">\u5b83\u73b0\u5728\u5df2\u4e0e Snowflake \u8054\u624b<\/a>\u3002 \u5b83\u4e0d\u50cf Plotly \u4e00\u6837\u62e5\u6709\u60a0\u4e45\u7684\u5386\u53f2\uff0c\u4f46\u51ed\u501f\u7740\u7b80\u5355\u6613\u7528\u3001\u9644\u5e26\u547d\u4ee4\u884c\u5de5\u5177\u7684\u7279\u70b9\u5728\u8fc7\u53bb\u51e0\u5e74\u8fc5\u731b\u53d1\u5c55\u3002 \u867d\u7136 Streamlit \u4e0d\u50cf Plotly \u4e00\u6837\u53ef\u4ee5\u81ea\u5b9a\u4e49\uff0c\u4f46\u5b83\u7684\u4eea\u8868\u677f\u5e03\u5c40\u6784\u5efa\u8d77\u6765\u975e\u5e38\u7b80\u5355\uff0c\u5e76\u652f\u6301\u591a\u9875\u9762\u5e94\u7528\uff0c\u56e0\u6b64\u53ef\u4ee5\u6784\u5efa\u66f4\u590d\u6742\u7684\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<p>\u4e0d\u8fc7\uff0c\u5728 2024 \u5e74\u5ea6\u7684\u8c03\u67e5\u7ed3\u679c\u4e2d\uff0c\u8fd9\u4e9b\u6570\u5b57\u53ef\u80fd\u7565\u6709\u53d8\u5316\u3002 \u51e0\u4e2a\u65b0\u5174\u5de5\u5177\u7684\u53d7\u6b22\u8fce\u7a0b\u5ea6\u53ef\u80fd\u4f1a\u8d76\u4e0a\u751a\u81f3\u8d85\u8fc7\u8fd9\u4e9b\u5e94\u7528\u3002 \u5176\u4e2d\u4e00\u4e2a\u662f <a href=\"https:\/\/panel.holoviz.org\/index.html\" target=\"_blank\" rel=\"noopener\">HoloViz Panel<\/a>\u3002 \u4f5c\u4e3a HoloViz \u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e2a\u5e93\uff0c\u5b83\u7531 NumFOCUS \u8d5e\u52a9\uff0c\u5e76\u5728 PyData \u793e\u533a\u4e2d\u83b7\u5f97\u4e86\u8d8a\u6765\u8d8a\u591a\u7684\u5173\u6ce8\u3002 Panel \u5141\u8bb8\u7528\u6237\u751f\u6210 HTML \u683c\u5f0f\u7684\u62a5\u544a\uff0c\u5e76\u4e0e <a href=\"https:\/\/jupyter.org\/\" target=\"_blank\" rel=\"noopener\">Jupyter Notebook<\/a> \u5b8c\u7f8e\u914d\u5408\u3002 \u5b83\u63d0\u4f9b\u7684\u6a21\u677f\u53ef\u4ee5\u5e2e\u52a9\u65b0\u7528\u6237\u5165\u95e8\uff0c\u5e76\u63d0\u4f9b\u4e86\u5927\u91cf\u81ea\u5b9a\u4e49\u9009\u9879\u4f9b\u4e13\u5bb6\u7528\u6237\u5fae\u8c03\u4eea\u8868\u677f\u3002<\/p>\n<h2 class=\"wp-block-heading\">\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff1ascikit-learn \u8868\u73b0\u4f9d\u7136\u7a81\u51fa\uff0c\u800c PyTorch \u5728\u6df1\u5ea6\u5b66\u4e60\u65b9\u9762\u6700\u53d7\u6b22\u8fce<\/h2>\n<p>\u7531\u4e8e\u751f\u6210\u5f0f AI \u548c LLM \u8fd1\u5e74\u6765\u4e00\u76f4\u90fd\u662f\u70ed\u95e8\u8bdd\u9898\uff0c\u60a8\u53ef\u80fd\u4f1a\u8ba4\u4e3a\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u548c\u5e93\u5c06\u5b8c\u5168\u5360\u636e\u4e3b\u5bfc\u5730\u4f4d\u3002 \u4f46\u4e8b\u5b9e\u5e76\u4e0d\u5b8c\u5168\u5982\u6b64\u3002 scikit-learn \u662f\u4e00\u4e2a\u4e3b\u8981\u7531\u7814\u7a76\u4eba\u5458\u7ef4\u62a4\u7684\u77e5\u540d\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5229\u7528\u5b83\u63d0\u4f9b\u7684\u57fa\u4e8e\u7edf\u8ba1\u4fe1\u606f\u7684\u4f20\u7edf\u65b9\u6cd5\uff0c\u6211\u4eec\u4ecd\u53ef\u4ee5\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u5927\u91cf\u6d1e\u5bdf\u3002 \u81ea 2020 \u5e74\u7531 NumFocus \u8d5e\u52a9\u4ee5\u6765\uff0cscikit-learn \u4e00\u76f4\u662f\u673a\u5668\u5b66\u4e60\u548c\u6570\u636e\u79d1\u5b66\u9886\u57df\u4e2d\u6700\u91cd\u8981\u7684\u5e93\u3002 \u53e6\u4e00\u4e2a\u4e3a\u79d1\u5b66\u8ba1\u7b97\u63d0\u4f9b\u652f\u6301\u7684 Python \u5e93 SciPy \u4e5f\u662f\u6570\u636e\u79d1\u5b66\u9886\u57df\u4e2d\u6700\u5e38\u7528\u7684\u5e93\u4e4b\u4e00\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531563\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/4-2x.png\" alt=\"\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u9884\u6d4b\u6846\u67b6\" width=\"1700\" height=\"1376\" \/><\/figure>\n<p>\u5c3d\u7ba1\u5982\u6b64\uff0c\u6211\u4eec\u4ecd\u4e0d\u80fd\u5ffd\u89c6\u6df1\u5ea6\u5b66\u4e60\u7684\u5f71\u54cd\u4ee5\u53ca\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u53d7\u6b22\u8fce\u7a0b\u5ea6\u7684\u63d0\u9ad8\u3002 \u7531 Meta \u521b\u5efa\u7684\u673a\u5668\u5b66\u4e60\u5e93 PyTorch \u73b0\u5728\u7531 Linux Foundation \u7ba1\u7406\u3002 \u9274\u4e8e\u8fd9\u4e00\u53d8\u5316\uff0c\u6211\u4eec\u53ef\u4ee5\u671f\u5f85 PyTorch \u7ee7\u7eed\u4f5c\u4e3a\u5f00\u6e90\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u627f\u8f7d\u5e93\uff0c\u5e76\u4fdd\u6301\u5176\u6d3b\u8dc3\u7684\u793e\u533a\u53c2\u4e0e\u5ea6\u3002 \u4f5c\u4e3a\u6700\u5e38\u7528\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5b83\u5907\u53d7 Python \u7528\u6237\u7684\u559c\u7231\uff0c\u5c24\u5176\u662f\u719f\u6089 NumPy \u7684\u7528\u6237\uff0c\u56e0\u4e3a PyTorch \u4e2d\u7684\u57fa\u672c\u6570\u636e\u7ed3\u6784\u201c\u5f20\u91cf\u201d\u4e0e NumPy \u6570\u7ec4\u975e\u5e38\u76f8\u4f3c\u3002\u00a0<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-532510\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/12\/Screen-Recording-2024-09-29-at-11.57.04.gif\" alt=\"\u5728 PyCharm 2024.2.2 Pro \u4e2d\u68c0\u67e5 PyTorch \u5f20\u91cf\uff0c\u5c31\u50cf\u68c0\u67e5 NumPy \u6570\u7ec4\u4e00\u6837\" width=\"2360\" height=\"610\" \/>\n<figcaption class=\"wp-element-caption\"><em>\u60a8\u53ef\u4ee5\u5728 PyCharm 2024.2.2 Pro \u4e2d\u68c0\u67e5 PyTorch \u5f20\u91cf\uff0c\u5c31\u50cf\u68c0\u67e5 NumPy \u6570\u7ec4\u4e00\u6837<\/em><\/figcaption>\n<\/figure>\n<p>TensorFlow \u4f7f\u7528\u7684\u662f\u9759\u6001\u8ba1\u7b97\u56fe\uff0cPyTorch \u4e0e\u4e4b\u4e0d\u540c\uff0c\u5b83\u4f7f\u7528\u7684\u662f\u52a8\u6001\u56fe\uff0c\u8fd9\u4f7f\u5f97\u5728 Python \u4e2d\u8fdb\u884c\u6027\u80fd\u5206\u6790\u53d8\u5f97\u975e\u5e38\u8f7b\u677e\u3002 \u6700\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cPyTorch \u8fd8\u63d0\u4f9b\u4e86\u5206\u6790 API\uff0c\u56e0\u6b64\u6210\u4e3a\u7814\u7a76\u548c\u8bd5\u9a8c\u7684\u6700\u4f73\u9009\u62e9\u3002 \u4e0d\u8fc7\uff0c\u5982\u679c\u60a8\u7684\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee\u9700\u8981\u8fdb\u884c\u53ef\u6269\u7f29\u90e8\u7f72\uff0c\u5e76\u4e14\u9700\u8981\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0cTensorFlow \u53ef\u80fd\u662f\u66f4\u597d\u7684\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u4e0e\u591a\u79cd\u8bed\u8a00\u517c\u5bb9\uff0c\u5305\u62ec C++\u3001JavaScript\u3001Python\u3001C#\u3001Ruby \u548c Swift\u3002 Keras \u53ef\u4ee5\u63d0\u9ad8 TensorFlow \u7684\u6613\u7528\u6027\uff0c\u4e5f\u662f\u9887\u53d7\u6b22\u8fce\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5de5\u5177\u3002<\/p>\n<p>\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6765\u8bf4\uff0c\u8fd8\u6709\u4e00\u4e2a\u6211\u4eec\u4e0d\u80fd\u5ffd\u89c6\u7684\u6846\u67b6\uff0c\u5b83\u5c31\u662f <a href=\"https:\/\/huggingface.co\/docs\/transformers\/en\/index\" target=\"_blank\" rel=\"noopener\">Hugging Face Transformers<\/a>\u3002 Hugging Face \u6c47\u96c6\u4e86\u5f88\u591a\u6700\u5148\u8fdb\u7684\u9884\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u8fd9\u4e9b\u6a21\u578b\u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u793e\u533a\u5907\u53d7\u6b22\u8fce\uff0c\u60a8\u53ef\u4ee5\u4e0b\u8f7d\u8fd9\u4e9b\u6a21\u578b\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u8bad\u7ec3\u3002 Transformers \u662f\u4e00\u4e2a\u7531 Hugging Face \u548c\u793e\u533a\u7ef4\u62a4\u7684\u5e93\uff0c\u7528\u4e8e\u4f7f\u7528 PyTorch\u3001TensorFlow \u548c JAX \u8fdb\u884c\u6700\u5148\u8fdb\u7684\u673a\u5668\u5b66\u4e60\u3002 \u7531\u4e8e LLM \u7684\u666e\u53ca\uff0c\u6211\u4eec\u53ef\u4ee5\u9884\u671f Hugging Face Transformers \u5c06\u5728 2024 \u5e74\u6536\u83b7\u66f4\u591a\u7528\u6237\u3002\u00a0<\/p>\n<p><a href=\"https:\/\/blog.jetbrains.com\/pycharm\/2024\/11\/hugging-face-integration\/\" data-type=\"link\" data-id=\"https:\/\/blog.jetbrains.com\/pycharm\/2024\/11\/hugging-face-integration\/\">\u4f7f\u7528 PyCharm\uff0c\u60a8\u53ef\u4ee5\u5728\u4e13\u7528\u7684\u5de5\u5177\u7a97\u53e3\u4e2d\u8bc6\u522b\u548c\u7ba1\u7406 Hugging Face \u6a21\u578b<\/a>\u3002 PyCharm \u8fd8\u53ef\u4ee5\u5e2e\u52a9\u60a8\u76f4\u63a5\u5728 IDE \u4e2d\u4ece\u79cd\u7c7b\u7e41\u591a\u7684 Hugging Face \u6a21\u578b\u4e2d\u9009\u62e9\u9002\u5408\u60a8\u7684\u7528\u4f8b\u7684\u6b63\u786e\u6a21\u578b\u3002\u00a0<\/p>\n<p>2024 \u5e74\u503c\u5f97\u5173\u6ce8\u7684\u4e00\u4e2a\u65b0\u5e93\u662f <a href=\"https:\/\/github.com\/iryna-kondr\/scikit-llm\" target=\"_blank\" rel=\"noopener\">Scikit-LLM<\/a>\uff0c\u501f\u52a9\u8be5\u5e93\uff0c\u60a8\u53ef\u4ee5\u5229\u7528 ChatGPT \u7b49\u5f00\u653e\u5f0f AI \u6a21\u578b\uff0c\u5e76\u5c06\u8fd9\u4e9b\u6a21\u578b\u4e0e scikit-learn \u96c6\u6210\u3002 \u9700\u8981\u8fdb\u884c\u6587\u672c\u5206\u6790\u65f6\uff0c\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u65b9\u4fbf\uff0c\u60a8\u6267\u884c\u5206\u6790\u65f6\u53ef\u4ee5\u5c06 scikit-learn \u4e2d\u7684\u6a21\u578b\u4e0e\u65b0\u578b LLM \u6a21\u578b\u7684\u529f\u80fd\u7ed3\u5408\u4f7f\u7528\u3002<\/p>\n<h2 class=\"wp-block-heading\">MLOps\uff1a\u6570\u636e\u79d1\u5b66\u9879\u76ee\u7684\u672a\u6765<\/h2>\n<p>\u5728\u6570\u636e\u79d1\u5b66\u9879\u76ee\u4e2d\uff0c\u4e00\u4e2a\u91cd\u8981\u4f46\u5374\u7ecf\u5e38\u88ab\u5ffd\u89c6\u7684\u65b9\u9762\u662f MLOps\uff08\u673a\u5668\u5b66\u4e60\u8fd0\u7ef4\uff09\u3002 \u5728\u6570\u636e\u79d1\u5b66\u9879\u76ee\u5de5\u4f5c\u6d41\u4e2d\uff0c\u6570\u636e\u79d1\u5b66\u5bb6\u9700\u8981\u7ba1\u7406\u6570\u636e\u3001\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\uff0c\u5e76\u5bf9\u4f7f\u7528\u7684\u6240\u6709\u6570\u636e\u548c\u6a21\u578b\u8fdb\u884c\u7248\u672c\u63a7\u5236\u3002 \u6709\u65f6\uff0c\u5728\u673a\u5668\u5b66\u4e60\u5e94\u7528\u7a0b\u5e8f\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u540e\uff0c\u8fd8\u9700\u8981\u89c2\u5bdf\u5e76\u76d1\u6d4b\u5176\u6027\u80fd\u548c\u4f7f\u7528\u60c5\u51b5\u3002<\/p>\n<p>\u8fd1\u5e74\u6765\uff0c\u6d8c\u73b0\u4e86\u4e13\u4e3a\u6570\u636e\u79d1\u5b66\u9879\u76ee\u8bbe\u8ba1\u7684 MLOps \u5de5\u5177\u3002 \u4e00\u76f4\u56f0\u6270\u7740\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u6570\u636e\u5de5\u7a0b\u5e08\u7684\u95ee\u9898\u4e4b\u4e00\u662f\u6570\u636e\u7684\u7248\u672c\u63a7\u5236\uff0c\u5f53\u7ba1\u9053\u4e0d\u65ad\u6709\u6570\u636e\u6d41\u5165\u65f6\uff0c\u7248\u672c\u63a7\u5236\u81f3\u5173\u91cd\u8981\u3002\u00a0<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531574\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/5-2x-1.png\" alt=\"\u6570\u636e\u7248\u672c\u63a7\u5236\u5de5\u5177\" width=\"1700\" height=\"1196\" \/><\/figure>\n<p>\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u8fd8\u9700\u8981\u8ddf\u8e2a\u5176\u8bd5\u9a8c\u3002 \u7531\u4e8e\u5c06\u4f7f\u7528\u65b0\u6570\u636e\u91cd\u65b0\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u5bf9\u8d85\u53c2\u6570\u8fdb\u884c\u5fae\u8c03\uff0c\u52a1\u5fc5\u8ddf\u8e2a\u6a21\u578b\u8bad\u7ec3\u548c\u8bd5\u9a8c\u7ed3\u679c\u3002 \u76ee\u524d\uff0c\u6700\u6d41\u884c\u7684\u5de5\u5177\u662f <a href=\"https:\/\/github.com\/tensorflow\/tensorboard\" target=\"_blank\" rel=\"noopener\">TensorBoard<\/a>\u3002 \u4e0d\u8fc7\uff0c\u8fd9\u4e00\u5c40\u9762\u53ef\u80fd\u5f88\u5feb\u4f1a\u6539\u53d8\u3002 <a href=\"https:\/\/tensorboard.dev\/\" target=\"_blank\" rel=\"noopener\">TensorBoard.dev<\/a> \u5df2\u88ab\u5f03\u7528\uff0c\u8fd9\u610f\u5473\u7740\u7528\u6237\u73b0\u5728\u4e0d\u5f97\u4e0d\u5728\u672c\u5730\u90e8\u7f72\u81ea\u5df1\u7684 TensorBoard \u5b89\u88c5\uff0c\u6216\u4f7f\u7528 <a href=\"https:\/\/www.tensorflow.org\/tensorboard\/tensorboard_in_notebooks\" target=\"_blank\" rel=\"noopener\">TensorBoard \u7684 Google Colab \u96c6\u6210<\/a>\u5171\u4eab\u7ed3\u679c\u3002 \u56e0\u6b64\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u53d1\u73b0 TensorBoard \u7684\u4f7f\u7528\u7387\u4e0b\u964d\uff0c\u800c <a href=\"https:\/\/mlflow.org\/\" target=\"_blank\" rel=\"noopener\">MLflow<\/a> \u548c PyTorch \u7b49\u5176\u4ed6\u5de5\u5177\u7684\u4f7f\u7528\u7387\u589e\u52a0\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531588\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/6-2x.png\" alt=\"\u8bd5\u9a8c\u8ddf\u8e2a\u5de5\u5177\" width=\"1700\" height=\"1388\" \/><\/figure>\n<p>\u4e3a\u786e\u4fdd\u6570\u636e\u9879\u76ee\u987a\u5229\u8fd0\u884c\u800c\u9700\u8981\u91c7\u53d6\u7684\u53e6\u4e00 MLOps \u6b65\u9aa4\u662f\u4ea4\u4ed8\u5f00\u53d1\u73af\u5883\u7528\u4e8e\u751f\u4ea7\u3002 \u4f7f\u7528 Docker \u5bb9\u5668\u662f\u8f6f\u4ef6\u5de5\u7a0b\u5e08\u5e38\u7528\u7684\u5f00\u53d1\u505a\u6cd5\uff0c\u6570\u636e\u79d1\u5b66\u793e\u533a\u4f3c\u4e4e\u4e5f\u91c7\u7528\u4e86\u8fd9\u79cd\u505a\u6cd5\u3002 \u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u5f00\u53d1\u73af\u5883\u548c\u751f\u4ea7\u73af\u5883\u4fdd\u6301\u4e00\u81f4\uff0c\u8fd9\u4e00\u70b9\u5bf9\u4e8e\u6240\u6d89\u53ca\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u9700\u8981\u4f5c\u4e3a\u5e94\u7528\u7a0b\u5e8f\u8fdb\u884c\u90e8\u7f72\u7684\u6570\u636e\u79d1\u5b66\u9879\u76ee\u6765\u8bf4\u975e\u5e38\u91cd\u8981\u3002 \u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0cDocker \u8fd9\u4e00\u5de5\u5177\u5728\u9700\u8981\u5c06\u670d\u52a1\u90e8\u7f72\u5230\u4e91\u7684 Python \u7528\u6237\u4e2d\u5f88\u53d7\u6b22\u8fce\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531599\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/7-2x.png\" alt=\"\u60a8\u5982\u4f55\u8fdb\u884c\u4e91\u5f00\u53d1\uff1f\" width=\"1700\" height=\"1388\" \/><\/figure>\n<p>\u4eca\u5e74\uff0c\u5728\u201cPython \u5b89\u88c5\u548c\u5347\u7ea7\u201d\u7c7b\u522b\u4e2d\uff0cDocker \u5bb9\u5668\u7565\u5fae\u9886\u5148\u4e8e Anaconda\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531611\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/8-2x.png\" alt=\"2023 \u5e74\u7684 Python \u5b89\u88c5\u548c\u5347\u7ea7\" width=\"1700\" height=\"1292\" \/>\n<figcaption class=\"wp-element-caption\"><em>2023 \u5e74\u8c03\u67e5\u7ed3\u679c<\/em><\/figcaption>\n<\/figure>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531705\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/9-2x-2.png\" alt=\"2022 \u5e74\u7684 Python \u5b89\u88c5\u548c\u5347\u7ea7\" width=\"1700\" height=\"1964\" \/>\n<figcaption class=\"wp-element-caption\"><em>2022 \u5e74\u8c03\u67e5\u7ed3\u679c<\/em><\/figcaption>\n<\/figure>\n<h2 class=\"wp-block-heading\">\u5927\u6570\u636e\uff1a\u591a\u5c11\u6570\u636e\u624d\u591f\u7528\uff1f<\/h2>\n<p>\u4e00\u4e2a\u5e38\u89c1\u7684\u8bef\u89e3\u662f\uff0c\u6211\u4eec\u5c06\u9700\u8981\u66f4\u591a\u6570\u636e\u6765\u8bad\u7ec3\u66f4\u597d\u3001\u66f4\u590d\u6742\u7684\u6a21\u578b\uff0c\u4ee5\u63d0\u9ad8\u9884\u6d4b\u80fd\u529b\u3002 \u4f46\u4e8b\u5b9e\u5e76\u975e\u5982\u6b64\u3002 \u7531\u4e8e<a href=\"https:\/\/scikit-learn.org\/stable\/auto_examples\/model_selection\/plot_underfitting_overfitting.html\" target=\"_blank\" rel=\"noopener\">\u6a21\u578b\u53ef\u80fd\u4f1a\u8fc7\u62df\u5408<\/a>\uff0c\u5728\u673a\u5668\u5b66\u4e60\u65b9\u9762\uff0c\u5e76\u975e\u6570\u636e\u8d8a\u591a\u8d8a\u597d\u3002 \u6839\u636e\u7528\u4f8b\u3001\u6a21\u578b\u4ee5\u53ca\u540c\u65f6\u5904\u7406\u7684\u6570\u636e\u91cf\uff0c\u53ef\u80fd\u9700\u8981\u4e0d\u540c\u7684\u5de5\u5177\u548c\u65b9\u5f0f\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531633\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/10-2x.png\" alt=\"\u7528\u4e8e\u5904\u7406\u5927\u6570\u636e\u7684\u89e3\u51b3\u65b9\u6848\" width=\"1700\" height=\"1222\" \/><\/figure>\n<p>\u5728 Python \u4e2d\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u6311\u6218\u5728\u4e8e\uff0c\u5927\u90e8\u5206 Python \u5e93\u90fd\u4f9d\u8d56\u4e8e\u5185\u5b58\u4e2d\u5b58\u50a8\u7684\u6570\u636e\u3002 \u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u90e8\u7f72\u5177\u6709\u5927\u91cf\u5185\u5b58\u7684\u4e91\u8ba1\u7b97\u8d44\u6e90\uff0c\u4f46\u5373\u4f7f\u662f\u8fd9\u79cd\u65b9\u5f0f\u4e5f\u6709\u9650\u5236\uff0c\u6709\u65f6\u901f\u5ea6\u4f1a\u5f88\u6162\uff0c\u6210\u672c\u4e5f\u5f88\u9ad8\u3002<\/p>\n<p>\u5728\u5904\u7406\u5185\u5b58\u96be\u4ee5\u5bb9\u7eb3\u7684\u5927\u91cf\u6570\u636e\u65f6\uff0c\u5e38\u89c1\u7684\u89e3\u51b3\u65b9\u6848\u662f\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u8d44\u6e90\u3002 \u8ba1\u7b97\u4efb\u52a1\u548c\u6570\u636e\u5206\u5e03\u5230\u96c6\u7fa4\u4e2d\uff0c\u4ee5\u5e76\u884c\u65b9\u5f0f\u6267\u884c\u548c\u5904\u7406\u3002 \u8fd9\u79cd\u65b9\u5f0f\u4f1a\u4f7f\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u64cd\u4f5c\u5177\u6709\u53ef\u6269\u7f29\u6027\uff0c\u5728\u8fd9\u65b9\u9762\u6700\u53d7\u6b22\u8fce\u7684\u5f15\u64ce\u662f <a href=\"https:\/\/spark.apache.org\/\" target=\"_blank\" rel=\"noopener\">Apache Spark<\/a>\u3002 Spark \u53ef\u4e0e <a href=\"https:\/\/spark.apache.org\/docs\/latest\/api\/python\/index.html\" target=\"_blank\" rel=\"noopener\">PySpark<\/a>\uff08Spark \u7684 Python API \u5e93\uff09\u7ed3\u5408\u4f7f\u7528\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-531644\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/11\/11-2x.png\" alt=\"2023 \u5e74\u7684\u5927\u6570\u636e\u5de5\u5177\" width=\"1700\" height=\"1196\" \/><\/figure>\n<p>\u81ea Spark 2.0 \u8d77\uff0c\u9f13\u52b1\u4efb\u4f55 <a href=\"https:\/\/spark.apache.org\/docs\/latest\/rdd-programming-guide.html\" target=\"_blank\" rel=\"noopener\">Spark RDD API<\/a> \u7528\u6237\u8f6c\u4e3a\u4f7f\u7528\u6027\u80fd\u66f4\u9ad8\u7684 <a href=\"https:\/\/spark.apache.org\/docs\/latest\/sql-programming-guide.html\" target=\"_blank\" rel=\"noopener\">Spark SQL<\/a>\u3002 \u7531\u4e8e Spark SQL \u53ef\u4ee5\u6267\u884c SQL \u67e5\u8be2\uff0c\u6570\u636e\u79d1\u5b66\u5bb6\u8fd8\u53ef\u4ee5\u5229\u7528\u5b83\u66f4\u8f7b\u677e\u5730\u5904\u7406\u6570\u636e\u3002 \u6211\u4eec\u53ef\u4ee5\u9884\u671f PySpark \u4ecd\u5c06\u662f 2024 \u5e74\u6700\u53d7\u6b22\u8fce\u7684\u9009\u62e9\u3002<\/p>\n<p>\u53e6\u4e00\u4e2a\u7528\u4e8e\u7ba1\u7406\u96c6\u7fa4\u4e2d\u6570\u636e\u7684\u6d41\u884c\u5de5\u5177\u662f <a href=\"https:\/\/www.databricks.com\/\" target=\"_blank\" rel=\"noopener\">Databricks<\/a>\u3002 \u5982\u679c\u60a8\u4f7f\u7528 Databricks \u5904\u7406\u96c6\u7fa4\u4e2d\u7684\u6570\u636e\uff0c\u73b0\u5728\u53ef\u4ee5\u53d7\u76ca\u4e8e <a href=\"https:\/\/blog.jetbrains.com\/pycharm\/2024\/08\/introducing-the-pycharm-databricks-integration\/\">Databricks \u4e0e PyCharm \u96c6\u6210<\/a>\u5e26\u6765\u7684\u5f3a\u5927\u529f\u80fd\u3002 \u60a8\u53ef\u4ee5\u5728 PyCharm \u4e2d\u4e3a\u7ba1\u9053\u548c\u4f5c\u4e1a\u7f16\u5199\u4ee3\u7801\uff0c\u7136\u540e\u5728 Databricks \u96c6\u7fa4\u4e0a\u5b9e\u65f6\u90e8\u7f72\u3001\u6d4b\u8bd5\u548c\u8fd0\u884c\u8fd9\u4e9b\u4ee3\u7801\uff0c\u800c\u65e0\u9700\u8fdb\u884c\u4efb\u4f55\u989d\u5916\u914d\u7f6e\u3002<\/p>\n<h2 class=\"wp-block-heading\">\u793e\u533a\uff1a\u6d3b\u52a8\u5c06\u4fa7\u91cd\u70b9\u8f6c\u5411\u6570\u636e\u79d1\u5b66<\/h2>\n<p>\u5f88\u591a Python \u65b0\u624b\u90fd\u5c06\u5b83\u7528\u4e8e\u6570\u636e\u79d1\u5b66\uff0c\u56e0\u6b64\u8d8a\u6765\u8d8a\u591a\u7684 Python \u5e93\u53ef\u4ee5\u6ee1\u8db3\u6570\u636e\u79d1\u5b66\u7528\u4f8b\u7684\u9700\u6c42\u3002 \u540c\u6837\uff0c\u50cf <a href=\"https:\/\/us.pycon.org\/\" target=\"_blank\" rel=\"noopener\">PyCon<\/a> \u548c <a href=\"https:\/\/www.europython-society.org\/europython\/\" target=\"_blank\" rel=\"noopener\">EuroPython<\/a> \u8fd9\u6837\u7684 Python \u6d3b\u52a8\u5f00\u59cb\u5305\u62ec\u66f4\u591a\u5173\u6ce8\u6570\u636e\u79d1\u5b66\u7684\u4e3b\u9898\u3001\u6f14\u8bb2\u548c\u5728\u7ebf\u8bb2\u5ea7\uff0c\u800c\u50cf <a href=\"https:\/\/pydata.org\/\" target=\"_blank\" rel=\"noopener\">PyData<\/a> \u548c <a href=\"https:\/\/conference.scipy.org\/\" target=\"_blank\" rel=\"noopener\">SciPy<\/a> \u8fd9\u6837\u7684\u6570\u636e\u79d1\u5b66\u4e13\u9898\u6d3b\u52a8\u4e5f\u4ecd\u7136\u5f88\u53d7\u6b22\u8fce\u3002<\/p>\n<h2 class=\"wp-block-heading\">\u603b\u7ed3<\/h2>\n<p>\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u7684\u70ed\u5ea6\u8d8a\u6765\u8d8a\u9ad8\uff0c\u4f34\u968f\u7740 AI \u548c LLM \u7684\u666e\u53ca\uff0c\u8d8a\u6765\u8d8a\u591a\u7684\u65b0\u5f00\u6e90\u5de5\u5177\u53ef\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u3002 \u6570\u636e\u79d1\u5b66\u9886\u57df\u4fdd\u6301\u8fc5\u731b\u53d1\u5c55\u7684\u52bf\u5934\uff0c\u6211\u4eec\u975e\u5e38\u671f\u5f85 2024 \u5e74\u8c03\u67e5\u7ed3\u679c\u63ed\u6653\u6700\u53d7\u6b22\u8fce\u7684\u5de5\u5177\u3002<\/p>\n<h2 class=\"wp-block-heading\">\u4f7f\u7528 PyCharm \u63d0\u5347\u60a8\u7684\u6570\u636e\u79d1\u5b66\u4f53\u9a8c<\/h2>\n<p>\u73b0\u4ee3\u6570\u636e\u79d1\u5b66\u9700\u8981\u901a\u8fc7\u76f8\u5e94\u7684\u6280\u80fd\u5b8c\u6210\u5404\u79cd\u4efb\u52a1\uff0c\u5305\u62ec\u6570\u636e\u5904\u7406\u4e0e\u53ef\u89c6\u5316\u3001\u7f16\u7801\u3001\u6a21\u578b\u90e8\u7f72\u548c\u5927\u578b\u6570\u636e\u96c6\u7ba1\u7406\u3002 \u4f5c\u4e3a\u96c6\u6210\u5f00\u53d1\u73af\u5883 (IDE)\uff0cPyCharm \u53ef\u4ee5\u5e2e\u52a9\u60a8\u9ad8\u6548\u6784\u5efa\u6b64\u6280\u80fd\u7ec4\u5408\u3002 \u5b83\u63d0\u4f9b\u4e86\u667a\u80fd\u7f16\u7801\u8f85\u52a9\u3001\u9876\u5c42\u8c03\u8bd5\u3001\u7248\u672c\u63a7\u5236\u3001\u96c6\u6210\u6570\u636e\u5e93\u7ba1\u7406\u548c\u65e0\u7f1d Docker \u96c6\u6210\u3002 \u5bf9\u4e8e\u6570\u636e\u79d1\u5b66\uff0cPyCharm \u652f\u6301 Jupyter Notebook\uff0c\u4ee5\u53ca\u91cd\u8981\u7684\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5e76\u4e0e Hugging Face \u6a21\u578b\u5e93\u3001Anaconda \u548c Databricks \u7b49\u5de5\u5177\u96c6\u6210\u3002<\/p>\n<p>\u7acb\u5373\u5f00\u59cb\u4e3a\u60a8\u7684\u6570\u636e\u79d1\u5b66\u9879\u76ee\u4f7f\u7528 <a href=\"https:\/\/www.jetbrains.com.cn\/pycharm\/data-science\/\" target=\"_blank\" rel=\"noopener\">PyCharm<\/a> \u5e76\u4f53\u9a8c\u5176\u6700\u65b0\u6539\u8fdb\uff0c\u5305\u62ec\u7528\u4e8e\u68c0\u67e5 pandas \u548c Polars DataFrame \u7684\u529f\u80fd\uff0c\u4ee5\u53ca\u7528\u4e8e\u9010\u5c42\u68c0\u67e5 PyTorch \u5f20\u91cf\u7684\u529f\u80fd\uff0c\u6b64\u529f\u80fd\u5728\u63a2\u7d22\u6570\u636e\u548c\u6784\u5efa\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<div class=\"buttons\">\n<div class=\"buttons__row\"><a class=\"btn\" href=\"https:\/\/www.jetbrains.com.cn\/pycharm\/data-science\/\" target=\"\" rel=\"noopener\">\u514d\u8d39\u8bd5\u7528 PyCharm<\/a><\/div>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u672c\u535a\u6587\u82f1\u6587\u539f\u4f5c\u8005\uff1a<\/p>\n\n\n    <div class=\"about-author \">\n        <div class=\"about-author__box\">\n            <div class=\"row\">\n                <div class=\"about-author__box-img\">\n                    <img decoding=\"async\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/01\/CheukTingHo-Kimono-e1738750639162-200x200.jpg\" width=\"200\" height=\"200\" alt=\"Cheuk Ting Ho\" loading=\"lazy\"  class=\"avatar avatar-200 wp-user-avatar wp-user-avatar-200 photo avatar-default\">\n                <\/div>\n                <div class=\"about-author__box-text\">\n                                            <h4>Cheuk Ting Ho<\/h4>\n                                                        <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n","protected":false},"author":1297,"featured_media":536499,"comment_status":"closed","ping_status":"closed","template":"","categories":[952],"tags":[73,6443],"cross-post-tag":[],"acf":[],"_links":{"self":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/536495"}],"collection":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm"}],"about":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/types\/pycharm"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/users\/1297"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/comments?post=536495"}],"version-history":[{"count":4,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/536495\/revisions"}],"predecessor-version":[{"id":536512,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/536495\/revisions\/536512"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media\/536499"}],"wp:attachment":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media?parent=536495"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/categories?post=536495"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/tags?post=536495"},{"taxonomy":"cross-post-tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/cross-post-tag?post=536495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}