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Python Recipes Handbook

A Problem-Solution Approach

  • Joey¬†Bernard

Table of contents

  1. Front Matter
    Pages i-xxxii
  2. Joey Bernard
    Pages 1-10
  3. Joey Bernard
    Pages 11-20
  4. Joey Bernard
    Pages 21-26
  5. Joey Bernard
    Pages 27-35
  6. Joey Bernard
    Pages 37-48
  7. Joey Bernard
    Pages 49-54
  8. Joey Bernard
    Pages 55-62
  9. Joey Bernard
    Pages 63-68
  10. Joey Bernard
    Pages 69-76
  11. Joey Bernard
    Pages 77-80
  12. Joey Bernard
    Pages 81-90
  13. Joey Bernard
    Pages 91-97
  14. Joey Bernard
    Pages 99-102
  15. Joey Bernard
    Pages 103-110
  16. Joey Bernard
    Pages 111-115
  17. Joey Bernard
    Pages 117-119
  18. Back Matter
    Pages 121-123

About this book

Introduction

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. 

Keywords

python python data analysis library numerical python data analysis NumPy

Authors and affiliations

  • Joey¬†Bernard
    • 1
  1. 1.FrederictonCanada

Bibliographic information

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