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This is the reference guide to Python that Iwish had existed when I was learning the language.

Here's what I want in a reference guide:

• 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 asingle script (or notebook), so that I can keep it open and search it when needed
• Code that can be run from top to bottom, with the relevant objects defined nearby

This isnot written as a full-fledged Python tutorial, though I ordered the topics such that you can read it like a tutorial (i.e., each topic depends only on material preceding it).

The guide was written using Python 2 but isfully compatible with Python 3. Relevant differences between Python 2 and 3 are noted throughout the guide.

Click to jump to the relevant section of the script or the notebook:

1. Imports (script,notebook)
2. Data Types (script,notebook)
3. Math (script,notebook)
4. Comparisons and Boolean Operations (script,notebook)
5. Conditional Statements (script,notebook)
6. Lists (script,notebook)
7. Tuples (script,notebook)
8. Strings (script,notebook)
9. Dictionaries (script,notebook)
10. Sets (script,notebook)
11. Defining Functions (script,notebook)
12. Anonymous (Lambda) Functions (script,notebook)
13. For Loops and While Loops (script,notebook)
14. Comprehensions (script,notebook)
15. Map and Filter (script,notebook)

If you like the general format of this guide, but needmore explanation of each topic, I highly recommend reading the Appendix ofPython for Data Analysis. 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 tolearn Python from scratch, this ismy list of recommended resources.

If there's atopic or example you'd like me to add to this guide, or you notice amistake, pleasecreate a GitHub issue orleave a blog comment.

Thank you!