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Python Recipes Handbook

A Problem-Solution Approach

  • Book
  • © 2016

Overview

Authors:
  1. Joey Bernard

    1. Fredericton, Canada

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  • Learn how to code with the new pandas (Python Data Analysis Library)
  • Learn how to code with Python algorithms useful for today's big data analytics and cloud applications
  • Learn how to code with NumPy and other numerical Python packages and code for doing various kinds of analysis

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xxxii
    Download chapter 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
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Keywords

About this book

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. 

Authors and Affiliations

  • Fredericton, Canada

    Joey Bernard

About the author

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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