Python Recipes Handbook A Problem-Solution Approach for Efficient Coding

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, or 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.

Table of Contents

1. Strings and Texts
2. Numbers, Dates, and Times
3. Iterators and Generators
4. Files and I/O
5. Python Data Analysis with pandas
6. Functions
7. Classes and Objects
8. Metaprogramming
9. Networking and the Internet
10. Modules and Packages
11. Numerics and Numpy
12. Concurrency
13. Utilities
14. Testing and Debugging
15. C and Other Extensions
16. Arduino and RPi Recipes