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Functional Python Programming: Create succint and expressive implementations

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Book Title
Functional Python Programming: Create succint and expressive impl
Publication Date
2015-01-31
Pages
360
ISBN
9781784396992

About this product

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1784396990
ISBN-13
9781784396992
eBay Product ID (ePID)
28038487803

Product Key Features

Publication Year
2015
Subject
Programming / Open Source, Programming Languages / Python
Number of Pages
360 Pages
Language
English
Publication Name
Functional Python Programming
Type
Textbook
Author
Steven Lott
Subject Area
Computers
Format
Trade Paperback

Additional Product Features

Dewey Decimal
005.133
Synopsis
About This Book Implement common functional programming design patterns and techniques in Python Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance Apply functional Python to common Exploratory Data Analysis (EDA) programming problems Who This Book Is For This book is for developers who want to use Python to write programs that lean heavily on functional programming design patterns. You should be comfortable with Python programming, but no knowledge of functional programming paradigms is needed., Create succinct and expressive implementations with functional programming in Python Key Features Implement common functional programming design patterns and techniques in Python Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance Apply functional Python to common Exploratory Data Analysis (EDA) programming problems Book Description Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. It's ideally suited to a number of applications in the broad space of data science. This practical guide demonstrates the Python implementation of a number of functional programming techniques and design patterns. Starting with a general overview of functional programming concepts, you will explore common functional features such as first-class and higher-order functions, pure functions and more, and how these are accomplished in Python. Additionally, you will cover how common functional optimizations can be handled in Python. You'll also explore data preparation techniques and data exploration in depth. Moving on, you will learn how the Python standard library fits the functional programming model. The book concludes with a look at the PyMonad project and some larger examples. By the end of this book, you will be able to understand what functional programming is all about, its impact on the programming workflow, why it's important, and how to implement it in Python. What you will learn Use Python's generator functions and generator expressions to work with collections in a non-strict (or lazy) manner Utilize Python library modules including itertools, functools, multiprocessing, and concurrent.futures for efficient functional programs Use Python strings using object-oriented suffix notation and prefix notation Avoid stateful classes with families of tuples Design and implement decorators to create composite functions Use functions like max(), min(), map(), filter(), and sorted() Write higher-order functions

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