Python Recipes Handbook
A Problem-Solution Approach

Authors: Joey Bernard



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

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

Table of contents (16 chapters)

Front Matter

Strings and Texts

Numbers, Dates, and Times

Iterators and Generators

Files and I/O

Python Data Analysis with pandas

Functions

Classes and Objects

Metaprogramming

Networking and the Internet

Modules and Packages

Numerics and Numpy

Concurrency

Utilities

Testing and Debugging

C and Other Extensions

Arduino and RPi Recipes

Back Matter

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