Python Recipes Handbook

1. Front Matter

   Pages i-xxxii

   PDF

2. Strings and Texts

   • Joey Bernard

   Pages 1-10

3. Numbers, Dates, and Times

   • Joey Bernard

   Pages 11-20

4. Iterators and Generators

   • Joey Bernard

   Pages 21-26

5. Files and I/O

   • Joey Bernard

   Pages 27-35

6. Python Data Analysis with pandas

   • Joey Bernard

   Pages 37-48

7. Functions

   • Joey Bernard

   Pages 49-54

8. Classes and Objects

   • Joey Bernard

   Pages 55-62

9. Metaprogramming

   • Joey Bernard

   Pages 63-68

10. Networking and the Internet

    • Joey Bernard

    Pages 69-76

11. Modules and Packages

    • Joey Bernard

    Pages 77-80

12. Numerics and Numpy

    • Joey Bernard

    Pages 81-90

13. Concurrency

    • Joey Bernard

    Pages 91-97

14. Utilities

    • Joey Bernard

    Pages 99-102

15. Testing and Debugging

    • Joey Bernard

    Pages 103-110

16. C and Other Extensions

    • Joey Bernard

    Pages 111-115

17. Arduino and RPi Recipes

    • Joey Bernard

    Pages 117-119

18. Back Matter

    Pages 121-123

    PDF

Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library.

Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages.

What You'll Learn

• Code with the pandas (Python Data Analysis Library)
• Work with the various Python algorithms useful for today's big data analytics and cloud applications
• Use NumPy and other numerical Python packages and code for doing various kinds of analysis
• Discover Python's new popular modules, packages, extensions and templates library

Who This Book Is For

This handy reference is for those with some experience with Python. 

• python
• python data analysis library
• numerical python
• data analysis
• NumPy

• Fredericton, Canada

  Joey Bernard

Joey Bernard has written several articles for Linux Journal and Linux User and Developer, and currently has a regular column in each magazine. His day job, with ACENET and Compute Canada, has him helping university researchers with all of their computational work. This job has let him make use of both his physics degree and his computer science degree. A leader ensures that he doesn't spend all of his time indoors.

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