{"id":13490729,"url":"https://github.com/apachecn/pyda-2e-zh","last_synced_at":"2025-04-12T15:36:04.755Z","repository":{"id":41390246,"uuid":"154550127","full_name":"apachecn/pyda-2e-zh","owner":"apachecn","description":":book:  [译] 利用 Python 进行数据分析 · 第 2 版","archived":false,"fork":false,"pushed_at":"2021-01-02T16:11:20.000Z","size":23120,"stargazers_count":1086,"open_issues_count":4,"forks_count":344,"subscribers_count":81,"default_branch":"master","last_synced_at":"2025-04-03T15:09:51.163Z","etag":null,"topics":["book","data-analysis","numpy","pandas","pyda","python"],"latest_commit_sha":null,"homepage":"https://pyda.apachecn.org/","language":"CSS","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/apachecn.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-10-24T18:36:50.000Z","updated_at":"2025-03-24T03:10:40.000Z","dependencies_parsed_at":"2022-08-10T02:07:11.820Z","dependency_job_id":null,"html_url":"https://github.com/apachecn/pyda-2e-zh","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apachecn%2Fpyda-2e-zh","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apachecn%2Fpyda-2e-zh/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apachecn%2Fpyda-2e-zh/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apachecn%2Fpyda-2e-zh/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/apachecn","download_url":"https://codeload.github.com/apachecn/pyda-2e-zh/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248590267,"owners_count":21129772,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["book","data-analysis","numpy","pandas","pyda","python"],"created_at":"2024-07-31T19:00:50.425Z","updated_at":"2025-04-12T15:36:04.732Z","avatar_url":"https://github.com/apachecn.png","language":"CSS","readme":"# 利用 Python 进行数据分析 · 第 2 版\n\n![](cover.jpg)\n\n\u003e 译者：[SeanCheney](https://github.com/iamseancheney)\n\u003e \n\u003e 卑鄙是卑鄙者的通行证，高尚是高尚者的墓志铭。——北岛\n\n+   [在线阅读](https://pyda.apachecn.org)\n+   [在线阅读（Gitee）](https://apachecn.gitee.io/pyda-2e-zh/)\n+   [ApacheCN 机器学习交流群 629470233](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)\n+   [ApacheCN 学习资源](http://www.apachecn.org/)\n+   [Sklearn 与 TensorFlow 机器学习实用指南](https://github.com/it-ebooks/hands-on-ml-2e-zh)\n\n[下载本书代码（本书 GitHub 地址）](https://github.com/wesm/pydata-book)（建议把代码下载下来之后，安装好 Anaconda 3.6，在目录文件夹中用 Jupyter 笔记本打开）\n\n本书是 2017 年 10 月 20 号正式出版的，和第 1 版的不同之处有：\n\n* 包括 Python 教程内的所有代码升级为 Python 3.6（第 1 版使用的是 Python 2.7）\n* 更新了 Anaconda 和其它包的 Python 安装方法\n* 更新了 Pandas 为 2017 最新版\n* 新增了一章，关于更高级的 Pandas 工具，外加一些 tips\n* 简要介绍了使用 StatsModels 和 scikit-learn\n\n对有些内容进行了重新排版。（译者注 1：最大的改变是把第 1 版附录中的 Python 教程，单列成了现在的第 2 章和第 3 章，并且进行了扩充。可以说，本书第 2 版对新手更为友好了！）\n\n（译者注 2：毫无疑问，本书是学习 Python 数据分析最好的参考书。本来想把书名直接译为《Python 数据分析》，这样更简短。但是为了尊重第 1 版的翻译，考虑到继承性，还是用老书名。这样读过第一版的老读者可以方便的用之前的书名检索到第二版。作者在写第二版的时候，有些文字是照搬第一版的。所以第二版的翻译也借鉴 copy 了第一版翻译：即，如果第二版中有和第一版相同的文字，则 copy 第一版的中文译本，觉得不妥的地方会稍加修改，剩下的不同的内容就自己翻译。这样做也是为读过第一版的老读者考虑——相同的内容可以直接跳过。）\n\n\n## 下载\n\n### Docker\n\n```\ndocker pull apachecn0/pyda-2e-zh\ndocker run -tid -p \u003cport\u003e:80 apachecn0/pyda-2e-zh\n# 访问 http://localhost:{port} 查看文档\n```\n\n### PYPI\n\n```\npip install pyda-2e-zh\npyda-2e-zh \u003cport\u003e\n# 访问 http://localhost:{port} 查看文档\n```\n\n### NPM\n\n```\nnpm install -g pyda-2e-zh\npyda-2e-zh \u003cport\u003e\n# 访问 http://localhost:{port} 查看文档\n```\n","funding_links":[],"categories":["CSS"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapachecn%2Fpyda-2e-zh","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapachecn%2Fpyda-2e-zh","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapachecn%2Fpyda-2e-zh/lists"}