Overview
- 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
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Table of contents (16 chapters)
Keywords
About this book
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.Authors and Affiliations
About the author
Bibliographic Information
Book Title: Python Recipes Handbook
Book Subtitle: A Problem-Solution Approach
Authors: Joey Bernard
DOI: https://doi.org/10.1007/978-1-4842-0241-8
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Joey Bernard 2016
Softcover ISBN: 978-1-4842-0242-5Published: 08 November 2016
eBook ISBN: 978-1-4842-0241-8Published: 08 November 2016
Edition Number: 1
Number of Pages: XXXII, 123
Number of Illustrations: 1 b/w illustrations
Topics: Python, Computer Science, general