Based on the Python 2.7 Quick Reference from Kevin Markham:
This is the reference guide to Python that I wish had existed when I was learning the language.
Here's what a reference guide should provide:
- High-quality examples that show the simplest possible usage of a given feature
- Explanatory comments, and descriptive variable names that eliminate the need for some comments
- Presented as a single Python script, so that I can keep it open in my IDE and search it when needed
- Code that can be run from top to bottom, with the relevant objects defined nearby
This is not written as a full-fledged Python tutorial, though topics are ordered such that you can read it like a tutorial (i.e., each topic depends only on material preceding it).
- Imports
- Data Types
- Math
- Comparisons and Boolean Operations
- Conditional Statements
- Lists
- Tuples
- Strings
- Dictionaries
- Sets
- Defining Functions
- Anonymous (Lambda) Functions
- For Loops and While Loops
- Comprehensions
- Map, Filter, Zip
If you like the general format of this guide, but need more explanation of each topic, reading the Appendix of Python for Data Analysis is highly recommended. It presents the essentials of the Python language in a clear and focused manner.
If you are looking for a resource that will help you to learn Python from scratch, this is a list of recommended resources.
If there's a topic or example you'd like me to add to this guide, or you notice a mistake, please create a GitHub issue or contact me directly. For the original Python Quick Reference version (Python 2 but also fully compatible with Python 3), please contact Kevin Markham.
Thank you!