Python Data Science Handbook
by Jake VanderPlas
Publisher: O'Reilly Media 2016
ISBN/ASIN: 1491912057
Number of pages: 548
Description:
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. Familiarity with Python as a language is assumed. The book was written and tested with Python 3.5.
Download or read it online for free here:
Read online
(online html)
Similar books
Learn to Program Using Pythonby Alan Gauld - Addison-Wesley Professional
Book for hobbyists, self-starters, and all who want to learn the art of computer programming in Python. Data types and variables, debugging, and namespaces are covered. Also includes sample applications that illustrate ideas and techniques in action.
(27681 views)
High Performance Pythonby Ian Ozsvald - ianozsvald.com
By exploring the theory behind design choices, this practical guide helps you gain a deeper understanding of Python implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
(13701 views)
Introduction to Media Computation: A Multimedia Cookbook in Pythonby Mark Guzdial - Georgia Institute of Technology
Guzdial introduces programming as a way of creating and manipulating media -- a context familiar to today's readers. Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications).
(22904 views)
A Practical Introduction to Python Programmingby Brian Heinold - Mount St. Mary's University
Partly a tutorial and partly a reference book. I summarize information in tables and give a lot of short example programs. I also jump right into things and fill in background information as I go, rather than covering the background material first.
(13253 views)