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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