{"id":61282,"date":"2025-04-29T08:00:56","date_gmt":"2025-04-29T00:00:56","guid":{"rendered":"https:\/\/fwq.ai\/blog\/61282\/"},"modified":"2025-04-29T08:00:56","modified_gmt":"2025-04-29T00:00:56","slug":"%e5%9c%a8linux%e7%b3%bb%e7%bb%9f%e4%b8%8a%e4%bd%bf%e7%94%a8pycharm%e8%bf%9b%e8%a1%8c%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%9a%84%e9%85%8d%e7%bd%ae%e6%96%b9%e6%b3%95-2","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/61282\/","title":{"rendered":"\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u914d\u7f6e\u65b9\u6cd5"},"content":{"rendered":"<p>\u5728linux\u7cfb\u7edf\u4e0a\u4f7f\u7528\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u914d\u7f6e\u65b9\u6cd5<\/p>\n<p>PyCharm\u662f\u4e00\u6b3e\u529f\u80fd\u5f3a\u5927\u7684Python\u96c6\u6210\u5f00\u53d1\u73af\u5883(IDE)\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u66f4\u9ad8\u6548\u5730\u8fdb\u884cPython\u9879\u76ee\u5f00\u53d1\u548c\u6570\u636e\u5206\u6790\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5728Linux\u7cfb\u7edf\u4e0a\u914d\u7f6ePyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u65b9\u6cd5\uff0c\u5e76\u9644\u4e0a\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<p>\u6b65\u9aa4\u4e00\uff1a\u5b89\u88c5PyCharm<br \/>\u9996\u5148\uff0c\u9700\u8981\u4e0b\u8f7d\u5e76\u5b89\u88c5PyCharm\u3002\u53ef\u4ee5\u5728JetBrains\u7684\u5b98\u65b9\u7f51\u7ad9\u4e0a\u4e0b\u8f7d\u9002\u7528\u4e8eLinux\u7cfb\u7edf\u7684PyCharm\u5b89\u88c5\u5305\u3002\u4e0b\u8f7d\u5b8c\u6210\u540e\uff0c\u6839\u636e\u5b89\u88c5\u5305\u7684\u63d0\u793a\u8fdb\u884c\u5b89\u88c5\u5373\u53ef\u3002<\/p>\n<p>\u6b65\u9aa4\u4e8c\uff1a\u5b89\u88c5Python\u89e3\u91ca\u5668<br \/>\u5728\u914d\u7f6ePyCharm\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5Python\u89e3\u91ca\u5668\u3002\u5982\u679c\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u89e3\u91ca\u5668\uff0c\u5219\u53ef\u4ee5\u8df3\u8fc7\u6b64\u6b65\u9aa4\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Python\u89e3\u91ca\u5668\uff1a<\/p>\n<pre>sudo apt-get update\nsudo apt-get install python3<\/pre>\n<p> \u767b\u5f55\u540e\u590d\u5236 <\/p>\n<p>\u6b65\u9aa4\u4e09\uff1a\u521b\u5efaPyCharm\u9879\u76ee<br \/>\u6253\u5f00PyCharm\uff0c\u70b9\u51fb&#8221;Create New Project&#8221;\u6309\u94ae\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u9879\u76ee\u3002\u9009\u62e9\u4e00\u4e2a\u5408\u9002\u7684\u4f4d\u7f6e\u5e76\u547d\u540d\u9879\u76ee\u3002\u5728&#8221;Project Interpreter&#8221;\u9009\u9879\u4e2d\uff0c\u9009\u62e9\u521a\u521a\u5b89\u88c5\u7684Python\u89e3\u91ca\u5668\u3002<\/p>\n<p>\u6b65\u9aa4\u56db\uff1a\u5b89\u88c5\u6240\u9700\u7684Python\u5e93<br \/>\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u4f7f\u7528\u4e00\u4e9b\u7b2c\u4e09\u65b9\u7684Python\u5e93\uff0c\u5982pandas\u3001matplotlib\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<pre>pip install pandas\npip install matplotlib<\/pre>\n<p> \u767b\u5f55\u540e\u590d\u5236 <\/p>\n<p>\u6b65\u9aa4\u4e94\uff1a\u5bfc\u5165\u6570\u636e\u5206\u6790\u4ee3\u7801\u793a\u4f8b<br \/>\u5bfc\u5165\u6570\u636e\u5206\u6790\u4ee3\u7801\u793a\u4f8b\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u4f7f\u7528PyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4ee3\u7801\u793a\u4f8b\uff0c\u7528\u4e8e\u8ba1\u7b97\u4e00\u7ec4\u968f\u673a\u6570\u7684\u5e73\u5747\u503c\uff1a<\/p>\n<pre>import numpy as np\n\n# \u751f\u6210\u968f\u673a\u6570\ndata = np.random.randint(0, 100, 1000)\n\n# \u8ba1\u7b97\u5e73\u5747\u503c\nmean = np.mean(data)\n\n# \u6253\u5370\u7ed3\u679c\nprint(\"\u5e73\u5747\u503c\uff1a\", mean)<\/pre>\n<p> \u767b\u5f55\u540e\u590d\u5236 <\/p>\n<p>\u6b65\u9aa4\u516d\uff1a\u8fd0\u884c\u4ee3\u7801<br \/>\u5728PyCharm\u4e2d\uff0c\u53ef\u4ee5\u9009\u62e9\u8981\u8fd0\u884c\u7684\u4ee3\u7801\u6587\u4ef6\uff0c\u5e76\u70b9\u51fb\u8fd0\u884c\u6309\u94ae\u6216\u4f7f\u7528\u5feb\u6377\u952e\u6765\u8fd0\u884c\u4ee3\u7801\u3002\u5728\u4ee3\u7801\u8fd0\u884c\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728PyCharm\u7684\u7ec8\u7aef\u7a97\u53e3\u4e2d\u770b\u5230\u7ed3\u679c\u3002<\/p>\n<p>\u603b\u7ed3\uff1a<br \/>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Linux\u7cfb\u7edf\u4e0a\u6210\u529f\u914d\u7f6ePyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002PyCharm\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u6613\u4e8e\u4f7f\u7528\u7684\u754c\u9762\uff0c\u5e2e\u52a9\u6211\u4eec\u66f4\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u5206\u6790\u5de5\u4f5c\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5b89\u88c5\u5176\u4ed6\u6240\u9700\u7684Python\u5e93\uff0c\u5e76\u7f16\u5199\u76f8\u5e94\u7684\u4ee3\u7801\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002<\/p>\n<p>\u5e0c\u671b\u672c\u6587\u7684\u4ecb\u7ecd\u548c\u793a\u4f8b\u4ee3\u7801\u80fd\u591f\u5e2e\u52a9\u8bfb\u8005\u66f4\u597d\u5730\u4f7f\u7528PyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u5e76\u5728\u5de5\u4f5c\u4e2d\u53d6\u5f97\u66f4\u597d\u7684\u6548\u679c\u3002<\/p>\n<p>\u4ee5\u4e0a\u5c31\u662f\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u914d\u7f6e\u65b9\u6cd5\u7684\u8be6\u7ec6\u5185\u5bb9\uff0c\u66f4\u591a\u8bf7\u5173\u6ce8FDCServers\u5176\u5b83\u76f8\u5173\u6587\u7ae0\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728linux\u7cfb\u7edf\u4e0a\u4f7f\u7528\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u914d\u7f6e\u65b9\u6cd5 PyCharm\u662f\u4e00\u6b3e\u529f\u80fd\u5f3a\u5927\u7684Python\u96c6\u6210\u5f00\u53d1\u73af\u5883(IDE)\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u66f4\u9ad8\u6548\u5730\u8fdb\u884cPython\u9879\u76ee\u5f00\u53d1\u548c\u6570\u636e\u5206\u6790\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5728Linux\u7cfb\u7edf\u4e0a\u914d\u7f6ePyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u65b9\u6cd5\uff0c\u5e76\u9644\u4e0a\u4ee3\u7801\u793a\u4f8b\u3002 \u6b65\u9aa4\u4e00\uff1a\u5b89\u88c5PyCharm\u9996\u5148\uff0c\u9700\u8981\u4e0b\u8f7d\u5e76\u5b89\u88c5PyCharm\u3002\u53ef\u4ee5\u5728JetBrains\u7684\u5b98\u65b9\u7f51\u7ad9\u4e0a\u4e0b\u8f7d\u9002\u7528\u4e8eLinux\u7cfb\u7edf\u7684PyCharm\u5b89\u88c5\u5305\u3002\u4e0b\u8f7d\u5b8c\u6210\u540e\uff0c\u6839\u636e\u5b89\u88c5\u5305\u7684\u63d0\u793a\u8fdb\u884c\u5b89\u88c5\u5373\u53ef\u3002 \u6b65\u9aa4\u4e8c\uff1a\u5b89\u88c5Python\u89e3\u91ca\u5668\u5728\u914d\u7f6ePyCharm\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5Python\u89e3\u91ca\u5668\u3002\u5982\u679c\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u89e3\u91ca\u5668\uff0c\u5219\u53ef\u4ee5\u8df3\u8fc7\u6b64\u6b65\u9aa4\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Python\u89e3\u91ca\u5668\uff1a sudo apt-get update sudo apt-get install python3 \u767b\u5f55\u540e\u590d\u5236 \u6b65\u9aa4\u4e09\uff1a\u521b\u5efaPyCharm\u9879\u76ee\u6253\u5f00PyCharm\uff0c\u70b9\u51fb&#8221;Create New Project&#8221;\u6309\u94ae\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u9879\u76ee\u3002\u9009\u62e9\u4e00\u4e2a\u5408\u9002\u7684\u4f4d\u7f6e\u5e76\u547d\u540d\u9879\u76ee\u3002\u5728&#8221;Project Interpreter&#8221;\u9009\u9879\u4e2d\uff0c\u9009\u62e9\u521a\u521a\u5b89\u88c5\u7684Python\u89e3\u91ca\u5668\u3002 \u6b65\u9aa4\u56db\uff1a\u5b89\u88c5\u6240\u9700\u7684Python\u5e93\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u4f7f\u7528\u4e00\u4e9b\u7b2c\u4e09\u65b9\u7684Python\u5e93\uff0c\u5982pandas\u3001matplotlib\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff1a pip install pandas pip install matplotlib \u767b\u5f55\u540e\u590d\u5236 \u6b65\u9aa4\u4e94\uff1a\u5bfc\u5165\u6570\u636e\u5206\u6790\u4ee3\u7801\u793a\u4f8b\u5bfc\u5165\u6570\u636e\u5206\u6790\u4ee3\u7801\u793a\u4f8b\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u4f7f\u7528PyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4ee3\u7801\u793a\u4f8b\uff0c\u7528\u4e8e\u8ba1\u7b97\u4e00\u7ec4\u968f\u673a\u6570\u7684\u5e73\u5747\u503c\uff1a import numpy as np # \u751f\u6210\u968f\u673a\u6570 data = np.random.randint(0, 100, 1000) # \u8ba1\u7b97\u5e73\u5747\u503c mean = np.mean(data) # \u6253\u5370\u7ed3\u679c print(&#8220;\u5e73\u5747\u503c\uff1a&#8221;, mean) \u767b\u5f55\u540e\u590d\u5236 \u6b65\u9aa4\u516d\uff1a\u8fd0\u884c\u4ee3\u7801\u5728PyCharm\u4e2d\uff0c\u53ef\u4ee5\u9009\u62e9\u8981\u8fd0\u884c\u7684\u4ee3\u7801\u6587\u4ef6\uff0c\u5e76\u70b9\u51fb\u8fd0\u884c\u6309\u94ae\u6216\u4f7f\u7528\u5feb\u6377\u952e\u6765\u8fd0\u884c\u4ee3\u7801\u3002\u5728\u4ee3\u7801\u8fd0\u884c\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728PyCharm\u7684\u7ec8\u7aef\u7a97\u53e3\u4e2d\u770b\u5230\u7ed3\u679c\u3002 \u603b\u7ed3\uff1a\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Linux\u7cfb\u7edf\u4e0a\u6210\u529f\u914d\u7f6ePyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002PyCharm\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u6613\u4e8e\u4f7f\u7528\u7684\u754c\u9762\uff0c\u5e2e\u52a9\u6211\u4eec\u66f4\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u5206\u6790\u5de5\u4f5c\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5b89\u88c5\u5176\u4ed6\u6240\u9700\u7684Python\u5e93\uff0c\u5e76\u7f16\u5199\u76f8\u5e94\u7684\u4ee3\u7801\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002 \u5e0c\u671b\u672c\u6587\u7684\u4ecb\u7ecd\u548c\u793a\u4f8b\u4ee3\u7801\u80fd\u591f\u5e2e\u52a9\u8bfb\u8005\u66f4\u597d\u5730\u4f7f\u7528PyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u5e76\u5728\u5de5\u4f5c\u4e2d\u53d6\u5f97\u66f4\u597d\u7684\u6548\u679c\u3002 \u4ee5\u4e0a\u5c31\u662f\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u914d\u7f6e\u65b9\u6cd5\u7684\u8be6\u7ec6\u5185\u5bb9\uff0c\u66f4\u591a\u8bf7\u5173\u6ce8FDCServers\u5176\u5b83\u76f8\u5173\u6587\u7ae0\uff01<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-61282","post","type-post","status-publish","format-standard","hentry","category-os"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61282","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=61282"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61282\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=61282"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=61282"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=61282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}