FREE eBook - Learning Python

FREE LEARNING PYTHON EBOOK

Discover the ins and outs of one of the most popular programming languages in the world today with the help of this eBook. Python is a dynamic and diverse language and can be used in everything from web applications to crunching raw data. No matter what you use it for though, we all have to start at the beginning; and Learning Python is your gateway to the world of professional Python development!

This book goes deeper than simply showing you how to build a Python app, giving you the fundamentals of Python programming that every developer needs to know to make the most of the language. Packed with tutorials and examples this title features everything from data structures, writing reusable code, testing, paradigms, and how Python can be adapted. This free eBook will help transform you from a complete beginner to someone ready to bring the best out of their projects.

So get this title now and see just why Python is so beloved today!

Download link: https://www.packtpub.com/packt/free-ebook/learning-python/

FREE Ebook from O'Reilly - Functional Programming in Python

Functional Programming in Python
By David Mertz
Publisher: O'Reilly
Released: June 2015

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.

Mertz describes ways to avoid Python’s imperative-style flow control, the nuances of callable functions, how to work lazily with iterators, and the use of higher-order functions. He also lists several third-party Python libraries useful for functional programming.

Topics include:

• Using encapsulation and other means to describe "what" a data collection consists of, rather than "how" to construct a data collection
• Creating callables with named functions, lambdas, closures, methods of classes, and multiple dispatch
• Using Python’s iterator protocol to accomplish the same effect as a lazy data structure
• Creating higher-order functions that take functions as arguments and/or produce a function as a result

David Mertz is a director of the Python Software Foundation, and chair of its Trademarks and Outreach & Education Committees. He wrote the columns Charming Python and XML Matters for IBM developerWorks and the Addison-Wesley book Text Processing in Python. David has spoken at multiple OSCON and PyCon events.

link: http://www.oreilly.com/programming/free/functional-programming-python.csp