Jake VanderPlas, Summer 2016

This repository contains the Jupyter Notebooks behind my O'Reilly report, A Whirlwind Tour of Python.

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 my upcoming book, The Python Data Science Handbook. These notebooks are adapted from lectures and workshops I've given on these topics at University of Washington and at various conferences, meetings, and workshops around the world.

Notebook Index

1. Introduction
2. How to Run Python Code
3. Basic Python Syntax
4. Python Semantics: Variables
5. Python Semantics: Operators
6. Built-In Scalar Types
7. Built-In Data Structures
8. Control Flow Statements
9. Defining Functions
10. Errors and Exceptions
11. Iterators
12. List Comprehensions
13. Generators and Generator Expressions
14. Modules and Packages
15. Strings and Regular Expressions
16. Preview of Data Science Tools
17. Resources for Further Learning
18. Appendix: Code To Reproduce Figures

This material is released under the "No Rights Reserved" CC0 license, and thus you are free to re-use, modify, build-on, and enhance this material for any purpose.

That said, I request that if you use or adapt this material, that you include a proper attribution and/or citation (citation information coming soon).

Read more about CC0 here.