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Functional Python Programming: Create succint and expressive implementation s
US $32.62
ApproximatelyRM 137.57
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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eBay item number:365286307965
Item specifics
- Condition
- 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
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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