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​

ΰΈ—ΰΈ΅ΰΉˆΰΈ‘ΰΈ²ΰΈšΰΈ—ΰΈ„ΰΈ§ΰΈ²ΰΈ‘ O'REILLY.

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