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        • Part 3. Advanced language features
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        • Part 4. Working with data
          • Appendix B. Exercise answers
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          • 24. Exploring data
          • 23. Saving data
          • 20. Basic file wrangling
          • 21. Processing data files
          • 22. Data over the network
      • The Hitchhikerโ€™s Guide to Python
      • A Whirlwind Tour of Python
        • 9. Defining Functions
      • Automate the Boring Stuff
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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 )

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เธ—เธตเนˆเธกเธฒเธšเธ—เธ„เธงเธฒเธก .

Notebook Index
Introduction
How to Run Python Code
Basic Python Syntax
Python Semantics: Variables
Python Semantics: Operators
Built-In Scalar Types
Built-In Data Structures
Control Flow Statements
Defining Functions
Errors and Exceptions
Iterators
List Comprehensions
Generators and Generator Expressions
Modules and Packages
Strings and Regular Expressions
Preview of Data Science Tools
Resources for Further Learning
Appendix: Code To Reproduce Figures
Book on website
O'REILLY
on nbviewer