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