Python Data Science Handbook
by Jake VanderPlas
Publisher: O'Reilly Media 2016
Number of pages: 548
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.
Home page url
Download or read it online for free here:
by A. Holovaty, J. Kaplan-Moss - Apress
Django is the Python–based equivalent to the Ruby on Rails web development framework. The authors show you how they use this framework to create award–winning web sites. This is the first edition of the Django Book which covers 0.96 version.
by Svein Linge, Hans Petter Langtangen - Springer
This book presents Python programming as a key method for solving mathematical problems. The style is accessible and concise, the emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
by Guido van Rossum - Python Software Foundation
This tutorial introduces the reader informally to the basic concepts of the Python language and system. It introduces many of Python's most noteworthy features, and will give you a good idea of the language's flavor and style.
by Richard Gruet
This reference covers invocation options, environment variables, lexical entities, basic types and their operations, advanced types, statements, iterators, generators, descriptors, decorators, built-in functions, built-in exceptions, and more.