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https://github.com/jakevdp/WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
https://github.com/jakevdp/WhirlwindTourOfPython

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The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Host: GitHub
URL: https://github.com/jakevdp/WhirlwindTourOfPython
Owner: jakevdp
License: cc0-1.0
Created: 2016-07-27T14:39:44.000Z (almost 8 years ago)
Default Branch: master
Last Pushed: 2024-01-06T22:20:43.000Z (5 months ago)
Last Synced: 2024-01-29T19:25:34.485Z (4 months ago)
Language: Jupyter Notebook
Size: 1.17 MB
Stars: 3,585
Watchers: 223
Forks: 1,602
Open Issues: 23
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

A-to-Z-Resources-for-Students - A Whirlwind Tour of Python
awesome-astrodata - Whirlwind Tour of Python
awesome-stars - jakevdp/WhirlwindTourOfPython - The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python" (Jupyter Notebook)
awesome-book-course-list - A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly)
my-awesome-stars - jakevdp/WhirlwindTourOfPython - The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python" (Jupyter Notebook)

README

# A Whirlwind Tour of Python

*Jake VanderPlas, Summer 2016*

This repository contains the Jupyter Notebooks behind my O'Reilly report,
[*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)).

*A Whirlwind Tour of Python* is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.

The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to
[*The Python Data Science Handbook*](http://shop.oreilly.com/product/0636920034919.do) (also
with notebooks [on github](https://github.com/jakevdp/PythonDataScienceHandbook)).
These materials are adapted from courses and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.

This material was written and tested using **Python 3.5**, and should work for any Python 3.X
version. I have done my best to note places where the syntax of Python 2.X will differ.

## Index

*(Note: sometimes GitHub's notebook rendering can be slow or finicky.
If you're having trouble with the following links, try viewing the material
[on nbviewer](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb))*

[Notebook Index](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb)

1. [Introduction](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/00-Introduction.ipynb)
2. [How to Run Python Code](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/01-How-to-Run-Python-Code.ipynb)
3. [Basic Python Syntax](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/02-Basic-Python-Syntax.ipynb)
4. [Python Semantics: Variables](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/03-Semantics-Variables.ipynb)
5. [Python Semantics: Operators](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/04-Semantics-Operators.ipynb)
6. [Built-In Scalar Types](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/05-Built-in-Scalar-Types.ipynb)
7. [Built-In Data Structures](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/06-Built-in-Data-Structures.ipynb)
8. [Control Flow Statements](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/07-Control-Flow-Statements.ipynb)
9. [Defining Functions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/08-Defining-Functions.ipynb)
10. [Errors and Exceptions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/09-Errors-and-Exceptions.ipynb)
11. [Iterators](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/10-Iterators.ipynb)
12. [List Comprehensions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/11-List-Comprehensions.ipynb)
13. [Generators and Generator Expressions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/12-Generators.ipynb)
14. [Modules and Packages](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/13-Modules-and-Packages.ipynb)
15. [Strings and Regular Expressions](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/14-Strings-and-Regular-Expressions.ipynb)
16. [Preview of Data Science Tools](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/15-Preview-of-Data-Science-Tools.ipynb)
17. [Resources for Further Learning](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/16-Further-Resources.ipynb)
18. [Appendix: Code To Reproduce Figures](http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/17-Figures.ipynb)

## License and Citation

This material is released under the "No Rights Reserved" [CC0](LICENSE)
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 [here](https://creativecommons.org/share-your-work/public-domain/cc0/).

If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example: