Logo

Functional Programming in Python

Small book cover: Functional Programming in Python

Functional Programming in Python
by

Publisher: O'Reilly Media
Number of pages: 49

Description:
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:
Download link
(multiple formats)

Similar books

Book cover: Design Patterns In PythonDesign Patterns In Python
by - Testing Perspective
This book is about learning design patterns with Python language. If you are new to design patterns, this text provides the first building blocks. If you are interested in design of test automation frameworks, this book will be very useful.
(17531 views)
Book cover: How to Think Like a Computer Scientist: Learning with PythonHow to Think Like a Computer Scientist: Learning with Python
by - Green Tea Press
This book is an introduction to computer science using the Python programming language. It covers the basics of programming, including variables, functions, control flow, program debugging. Later chapters cover basic algorithms and data structures.
(20464 views)
Book cover: The Programming HistorianThe Programming Historian
by - NiCHE
This book is a tutorial-style introduction to programming in Python for practicing historians (and other humanists). We assume that you're starting out with no prior programming experience and only a basic understanding of computers.
(16774 views)
Book cover: Python 3 Basics TutorialPython 3 Basics Tutorial
by - GitBook
This is a tutorial for novice programmers, it works best if you follow the exercises step by step. If you are fluent in any programming language, this might be very easy for you. It contains little material on the higher abstraction levels in Python.
(14250 views)