Functional Programming in Python
by David Mertz
Publisher: O'Reilly Media 2015
Number of pages: 49
Python is not a functional programming language, but it is a multi-paradigm language that makes functional programming easy to perform, and easy to mix with other programming styles. In this paper, David Mertz, a director of Python Software Foundation, examines the functional aspects of the language and points out which options work well and which ones you should generally decline.
Home page url
Download or read it online for free here:
by Jake VanderPlas - O'Reilly Media
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, etc. Familiarity with Python as a language is assumed. The book was written and tested with Python 3.5.
by 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.
by 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.
by Steven Bird, Ewan Klein, Edward Loper - O'Reilly Media
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies. With it, you'll learn how to write Python programs that work with large collections of unstructured text.