Functional Python Programming Second Edition

Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads

Steven F. Lott 지음

Packt(GCO Science) 2018년 04월 13일 출간

작품소개

책소개

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목차

1: UNDERSTANDING FUNCTIONAL PROGRAMMING
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

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출판사 서평

▶Editorial Review
Functional programming offers a variety of techniques for creating succinct and expressive software. While Python is not a purely functional programming language, we can do a great deal of functional programming in Python.

Python has a core set of functional programming features. This lets us borrow many design patterns and techniques from other functional languages. These borrowed concepts can lead us to create succinct and elegant programs. Python's generator expressions, in particular, negate the need to create large in-memory data structures, leading to programs that may execute more quickly because they use fewer resources.

We can’t easily create purely functional programs in Python. Python lacks a number of features that would be required for this. We don’t have unlimited recursion, for example, we don’t have lazy evaluation of all expressions, and we don’t have an optimizing compiler.

There are several key features of functional programming languages that are available in Python. One of the most important ones is the idea of functions being first-class objects. Python also offers a number of higher-order functions. The built-in map(), filter(), and functools.reduce() functions are widely used in this role, and lessobvious are functions such as sorted(), min(), and max().

We’ll look at the core features of functional programming from a Python point of view. Our objective is to borrow good ideas from functional programming languages and use those ideas to create expressive and succinct applications in Python.

작가정보

저자(글) Steven F. Lott

Steven F. Lott has been programming since the '70s, when computers were large, expensive, and rare. He's been using Python to solve business problems for over 10 years. His other titles with Packt Publishing include Python Essentials, Mastering Object-Oriented Python, Functional Python Programming, and Python for Secret Agents. Steven is currently a technomad who lives in city along the east coast of the U.S. You can follow his technology blog (slott-softwarearchitect).