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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

A Functional Approach to Web Services

We'll step away from the topic of Exploratory Data Analysis to look at web servers and web services. A web server is, to an extent, a cascade of functions. We can apply a number of functional design patterns to the problem of presenting web content. Our goal is to look at ways in which we can approach Representational State Transfer (REST). We want to build RESTful web services using functional design patterns.

We don't need to invent yet another Python web framework. Nor do we want to select from among the available frameworks. There are many web frameworks available in Python, each with a distinct set of features and advantages.

The intent of this chapter is to present some principles that can be applied to most of the available frameworks. This will let us leverage functional design patterns for presenting web content.

When...

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