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      • Python for Finance (O'Reilly)
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        • Go Bootcamp
        • Hugo in Action.
          • About this MEAP
          • Welcome
          • 1. The JAM stack with Hugo
          • 2. Live in 30 minutes
          • 3. Using Markup for content
          • 4. Content Management with Hugo
          • 5. Custom Pages and Customized Content
          • 6. Structuring web pages
          • A Appendix A.
          • B Appendix B.
          • C Appendix C.
    • Python
      • āļ āļēāļĐāļēāđ„āļžāļ˜āļ­āļ™āđ€āļšāļ·āđ‰āļ­āļ‡āļ•āđ‰āļ™
      • Python Cheatsheet
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        • Case study
        • Part 1. Starting out
          • 1. About Python
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          • 3. The Quick Python overview
        • Part 2. The essentials
          • 14. Exceptions
          • 13. Reading and writing files
          • 12. Using the filesystem
          • 11. Python programs
          • 10. Modules and scoping rules
          • 9. Functions
          • 8. Control flow
          • 4. The absolute basics
          • 5. Lists, tuples, and sets
          • 6. Strings
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        • Part 3. Advanced language features
          • 19. Using Python libraries
          • 18. Packages
          • 17. Data types as objects
          • 16. Regular expressions
          • 15. Classes and OOP
        • Part 4. Working with data
          • Appendix B. Exercise answers
          • Appendix A. Python’s documentation
          • 24. Exploring data
          • 23. Saving data
          • 20. Basic file wrangling
          • 21. Processing data files
          • 22. Data over the network
      • The Hitchhiker’s Guide to Python
      • A Whirlwind Tour of Python
        • 9. Defining Functions
      • Automate the Boring Stuff
        • 4. Lists
        • 5. Dictionaries
        • 12. Web Scraping
        • 13. Excel
        • 14. Google Sheets
        • 15. PDF and Word
        • 16. CSV and JSON
    • IPython
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      • āļˆāļąāļ”āļāļēāļĢāļ‚āđ‰āļ­āļĄāļđāļĨāļ”āđ‰āļ§āļĒ pandas āđ€āļšāļ·āđ‰āļ­āļ‡āļ•āđ‰āļ™
      • Pandas Tutorial
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