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Functional Python Programming

You're reading from   Functional Python Programming Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788627061
Length 408 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (18) Chapters Close

Preface 1. Understanding Functional Programming FREE CHAPTER 2. Introducing Essential Functional Concepts 3. Functions, Iterators, and Generators 4. Working with Collections 5. Higher-Order Functions 6. Recursions and Reductions 7. Additional Tuple Techniques 8. The Itertools Module 9. More Itertools Techniques 10. The Functools Module 11. Decorator Design Techniques 12. The Multiprocessing and Threading Modules 13. Conditional Expressions and the Operator Module 14. The PyMonad Library 15. A Functional Approach to Web Services 16. Optimizations and Improvements 17. Other Books You May Enjoy

Defining web services as functions

We'll look at a RESTful web service, which can slice and dice a source of data and provide downloads as JSON, XML, or CSV files. We'll provide an overall WSGI-compatible wrapper. The functions that do the real work of the application won't be narrowly constrained to fit the WSGI standard.

We'll use a simple dataset with four subcollections: the Anscombe Quartet. We looked at ways to read and parse this data in Chapter 3, Functions, Iterators, and Generators. It's a small set of data but it can be used to show the principles of a RESTful web service.

We'll split our application into two tiers: a web tier, which will be a simple WSGI application, and data service tier, which will be more typical functional programming. We'll look at the web tier first so that we can focus on a functional approach to provide meaningful...

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