Steven Lott Functional Python Programming

ISBN 13: 9781784396992

Functional Python Programming

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9781784396992: Functional Python Programming
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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’s easy-to-learn and extensible abilities offer a number of functional programming features for you to bring into your workflow, especially in the realm of data science.

If you’re a Python developer who wants to discover how to take the power of functional programming and bring it into your own programs then this book is essential for you, even if you know next to nothing about the paradigm. Starting with a general overview of functional concepts you’ll explore common functional features such as first-class and higher-order functions, pure functions and more, and how these are accomplished in Python to give you the core foundations you’ll build upon. After that, you’ll discover common functional optimizations for Python to help your apps reach even higher speeds. You'll also explore data preparation techniques and data exploration in depth, along with learning how the Python standard library fits the functional programming model. Finally, to top off your journey into the world of function Python you’ll at look at the PyMonad project and some larger examples to put everything into perspective.

With Functional Python Programming by your side you’ll understand the core concepts of function Python, its impact on the programming workflow, and how to implement it in Python, giving you the ability to take your applications to an even higher level.

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 with object-oriented suffix notation and prefix notation
  • Avoid stateful classes by making use of families of tuples
  • Design and implement decorators to create composite functions
  • Use functions like max(), min(), map(), filter(), and sorted()
  • Write advanced higher-order functions

About the Author

Steven F. Lott has been programming since the 70s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. He's been using Python to solve business problems for over 10 years.

Table of Contents

  1. Introducing Functional Programming
  2. Introducing Some Functional Features
  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

"synopsis" may belong to another edition of this title.

About the Author:

Steven F. Lott has been programming since the 70s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. He's been using Python to solve business problems for over 10 years.

He's particularly adept at struggling with thorny data representation problems.

He has also authored Mastering Object-oriented Python by Packt Publishing.

"About this title" may belong to another edition of this title.

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Book Description Packt Publishing. Paperback. Condition: New. 360 pages. Dimensions: 9.2in. x 7.5in. x 0.8in.Create succinct and expressive implementations with functional programming in Python About This BookImplement common functional programming design patterns and techniques in PythonLearn how to choose between imperative and functional approaches based on expressiveness, clarity, and performanceApply functional Python to common Exploratory Data Analysis (EDA) programming problemsWho This Book Is ForThis 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. In Detail Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. Its 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. Youll 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 its important, and how to implement it in Python. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9781784396992

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