A Whirlwind Tour of Python

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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)

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

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