{"id":13399860,"url":"https://github.com/wesm/pydata-book","last_synced_at":"2025-05-12T13:12:47.274Z","repository":{"id":3768116,"uuid":"4844734","full_name":"wesm/pydata-book","owner":"wesm","description":"Materials and IPython notebooks for \"Python for Data Analysis\" by Wes McKinney, published by O'Reilly Media","archived":false,"fork":false,"pushed_at":"2023-12-22T08:57:08.000Z","size":65260,"stargazers_count":23119,"open_issues_count":23,"forks_count":15441,"subscribers_count":1493,"default_branch":"3rd-edition","last_synced_at":"2025-05-12T13:12:20.459Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/wesm.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"COPYING","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2012-06-30T18:39:12.000Z","updated_at":"2025-05-12T06:07:28.000Z","dependencies_parsed_at":"2023-01-13T13:00:21.697Z","dependency_job_id":"f892e61c-ed58-449d-8a9b-798bbd0aaed0","html_url":"https://github.com/wesm/pydata-book","commit_stats":{"total_commits":68,"total_committers":13,"mean_commits":5.230769230769231,"dds":0.75,"last_synced_commit":"d86d8056fa17b180e2a7dc1d9ae1cfb830967d50"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wesm%2Fpydata-book","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wesm%2Fpydata-book/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wesm%2Fpydata-book/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wesm%2Fpydata-book/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wesm","download_url":"https://codeload.github.com/wesm/pydata-book/tar.gz/refs/heads/3rd-edition","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253745195,"owners_count":21957319,"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":[],"created_at":"2024-07-30T19:00:44.219Z","updated_at":"2025-05-12T13:12:45.644Z","avatar_url":"https://github.com/wesm.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook","Real-life examples","Real life examples","A01_机器学习教程","Uncategorized","Python","📚 Skill Development \u0026 Career"],"sub_categories":["Book formats","Uncategorized","General-Purpose Machine Learning","Curated Jupyter Notebooks"],"readme":"# Python for Data Analysis, 3rd Edition\n\nMaterials and IPython notebooks for \"Python for Data Analysis, 3rd\nEdition\" by Wes McKinney, published by O'Reilly Media. Book content\nincluding updates and errata fixes can be [found for free on my\nwebsite][6].\n\n[Buy the book on Amazon][1]\n\nFollow Wes on Twitter: [![Twitter Follow](https://img.shields.io/twitter/follow/wesmckinn.svg?style=social\u0026label=Follow)](https://twitter.com/wesmckinn)\n\n# 2nd Edition Readers\n\nIf you are reading the 2nd Edition (published in 2017), please find the\nreorganized book materials on the [`2nd-edition` branch][5].\n\n# 1st Edition Readers\n\nIf you are reading the 1st Edition (published in 2012), please find the\nreorganized book materials on the [`1st-edition` branch][2].\n\n## IPython Notebooks:\n\n* [Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch02.ipynb)\n* [Chapter 3: Built-in Data Structures, Functions, and Files](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch03.ipynb)\n* [Chapter 4: NumPy Basics: Arrays and Vectorized Computation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch04.ipynb)\n* [Chapter 5: Getting Started with pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch05.ipynb)\n* [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch06.ipynb)\n* [Chapter 7: Data Cleaning and Preparation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch07.ipynb)\n* [Chapter 8: Data Wrangling: Join, Combine, and Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch08.ipynb)\n* [Chapter 9: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch09.ipynb)\n* [Chapter 10: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch10.ipynb)\n* [Chapter 11: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch11.ipynb)\n* [Chapter 12: Introduction to Modeling Libraries in Python](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch12.ipynb)\n* [Chapter 13: Data Analysis Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch13.ipynb)\n* [Appendix A: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/appa.ipynb)\n\n## License\n\n### Code\n\nThe code in this repository, including all code samples in the notebooks listed\nabove, is released under the [MIT license](LICENSE-CODE). Read more at the\n[Open Source Initiative](https://opensource.org/licenses/MIT).\n\n[1]: https://amzn.to/3DyLaJc\n[2]: https://github.com/wesm/pydata-book/tree/1st-edition\n[5]: https://github.com/wesm/pydata-book/tree/2nd-edition\n[6]: https://wesmckinney.com/book/","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwesm%2Fpydata-book","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwesm%2Fpydata-book","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwesm%2Fpydata-book/lists"}