Jake Vanderplas (University of Washington)
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 (also with notebooks on github). 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.
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
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