{"id":13512017,"url":"https://github.com/jakevdp/WhirlwindTourOfPython","last_synced_at":"2025-03-30T21:31:25.395Z","repository":{"id":38417478,"uuid":"64316301","full_name":"jakevdp/WhirlwindTourOfPython","owner":"jakevdp","description":"The Jupyter Notebooks behind my OReilly report, \"A Whirlwind Tour of Python\"","archived":false,"fork":false,"pushed_at":"2024-01-31T00:41:43.000Z","size":1227,"stargazers_count":3797,"open_issues_count":24,"forks_count":1662,"subscribers_count":219,"default_branch":"master","last_synced_at":"2025-03-28T05:01:39.807Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jakevdp.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-07-27T14:39:44.000Z","updated_at":"2025-03-27T19:32:01.000Z","dependencies_parsed_at":"2024-09-21T03:30:26.102Z","dependency_job_id":"e86612b3-4f28-43db-b7ea-b1a9a82d10be","html_url":"https://github.com/jakevdp/WhirlwindTourOfPython","commit_stats":{"total_commits":37,"total_committers":5,"mean_commits":7.4,"dds":"0.16216216216216217","last_synced_commit":"6f1daf714fe52a8dde6a288674ba46a7feed8816"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakevdp%2FWhirlwindTourOfPython","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakevdp%2FWhirlwindTourOfPython/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakevdp%2FWhirlwindTourOfPython/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakevdp%2FWhirlwindTourOfPython/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jakevdp","download_url":"https://codeload.github.com/jakevdp/WhirlwindTourOfPython/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246385366,"owners_count":20768667,"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":"2024-08-01T03:01:25.228Z","updated_at":"2025-03-30T21:31:24.705Z","avatar_url":"https://github.com/jakevdp.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook","Python","Book","Uncategorized"],"sub_categories":["🔍 **Quick Access**","Books","Uncategorized"],"readme":"# A Whirlwind Tour of Python\n\n*Jake VanderPlas, Summer 2016*\n\nThis repository contains the Jupyter Notebooks behind my O'Reilly report,\n[*A Whirlwind Tour of Python*](http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp) (free [100-page pdf](http://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf)).\n\n*A Whirlwind Tour of Python* is a fast-paced introduction to essential\ncomponents of the Python language for researchers and developers who are\nalready familiar with programming in another language.\n\nThe material is particularly aimed at those who wish to use Python for data \nscience and/or scientific programming, and in this capacity serves as an\nintroduction to\n[*The Python Data Science Handbook*](http://shop.oreilly.com/product/0636920034919.do) (also\nwith notebooks [on github](https://github.com/jakevdp/PythonDataScienceHandbook)).\nThese materials are adapted from courses and workshops I've given on these\ntopics at University of Washington and at various conferences, meetings, and\nworkshops around the world.\n\nThis material was written and tested using **Python 3.5**, and should work for any Python 3.X\nversion. I have done my best to note places where the syntax of Python 2.X will differ.\n\n## Index\n\n*(Note: sometimes GitHub's notebook rendering can be slow or finicky.\nIf you're having trouble with the following links, try viewing the material\n[on nbviewer](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb))*\n\n[Notebook Index](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb)\n\n1. [Introduction](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/00-Introduction.ipynb)\n2. [How to Run Python Code](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/01-How-to-Run-Python-Code.ipynb)\n3. [Basic Python Syntax](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/02-Basic-Python-Syntax.ipynb)\n4. [Python Semantics: Variables](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/03-Semantics-Variables.ipynb)\n5. [Python Semantics: Operators](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/04-Semantics-Operators.ipynb)\n6. [Built-In Scalar Types](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/05-Built-in-Scalar-Types.ipynb)\n7. [Built-In Data Structures](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/06-Built-in-Data-Structures.ipynb)\n8. [Control Flow Statements](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/07-Control-Flow-Statements.ipynb)\n9. [Defining Functions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/08-Defining-Functions.ipynb)\n10. [Errors and Exceptions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/09-Errors-and-Exceptions.ipynb)\n11. [Iterators](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/10-Iterators.ipynb)\n12. [List Comprehensions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/11-List-Comprehensions.ipynb)\n13. [Generators and Generator Expressions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/12-Generators.ipynb)\n14. [Modules and Packages](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/13-Modules-and-Packages.ipynb)\n15. [Strings and Regular Expressions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/14-Strings-and-Regular-Expressions.ipynb)\n16. [Preview of Data Science Tools](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/15-Preview-of-Data-Science-Tools.ipynb)\n17. [Resources for Further Learning](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/16-Further-Resources.ipynb)\n18. [Appendix: Code To Reproduce Figures](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/17-Figures.ipynb)\n\n\n## License and Citation\n\nThis material is released under the \"No Rights Reserved\" [CC0](LICENSE)\nlicense, and thus you are free to re-use, modify, build-on, and enhance\nthis material for any purpose.\nRead more about CC0 [here](https://creativecommons.org/share-your-work/public-domain/cc0/).\n\nIf you do use this material, I would appreciate attribution.\nAn attribution usually includes the title, author, publisher, and ISBN.\nFor example:\n\n\u003e A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjakevdp%2FWhirlwindTourOfPython","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjakevdp%2FWhirlwindTourOfPython","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjakevdp%2FWhirlwindTourOfPython/lists"}