Functional Python Programming Use a functional approach to write succinct, expressive, and efficient Python code
Python isn’t all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach – and learn when you need to use it. Now with detailed exercises at the end of every chapter! Purchase of the print or Kindle book includes a free eBook in PDF...
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| Language: | English |
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Packt Publishing
2022
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| Edition: | Third edition |
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| Abstract | Python isn’t all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach – and learn when you need to use it. Now with detailed exercises at the end of every chapter! Purchase of the print or Kindle book includes a free eBook in PDF format.
Key Features
Learn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsRevised to cover new features of Python 3.10, exercises at the end of every chapter, and more
Book Description
Not enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with examples centered around data cleaning and exploratory data analysis. You’ll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don’t have to abandon object-oriented design completely, though – you’ll also see how Python’s native object-orientation is used in conjunction with functional programming techniques. By the end of this book, you’ll be well versed in the essential functional programming features of Python, and understand why and when functional thinking helps. You’ll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.
What you will learn
Use Python’s libraries to avoid the complexities of state-changing classesLeverage built-in higher-order functions to avoid rewriting common algorithmsWrite generator functions to create lazy processingDesign and implement decorators for functional compositionMake use of Python type annotations to describe parameters and results of functionsApply functional programming to concurrency and web servicesExplore the PyMonad library for stateful simulations
Who this book is for
The functional paradigm is very useful for programmers working in data science, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book. No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential. |
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| AbstractList | This book demonstrates how to implement common functional programming design patterns and techniques in Python.Key FeaturesLearn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsRevised to cover new features of Python 3.10, exercises at the end of every chapter, and moreBook DescriptionNot enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance.Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with examples centered around data cleaning and exploratory data analysis. You'll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don't have to abandon object-oriented design completely, though - you'll also see how Python's native object-orientation is used in conjunction with functional programming techniques.By the end of this book, you'll be well versed in the essential functional programming features of Python, and understand why and when functional thinking helps. You'll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.What you will learnUse Python's libraries to avoid the complexities of state-changing classesLeverage built-in higher-order functions to avoid rewriting common algorithmsWrite generator functions to create lazy processingDesign and implement decorators for functional compositionMake use of Python type annotations to describe parameters and results of functionsApply functional programming to concurrency and web servicesExplore the PyMonad library for stateful simulationsWho This Book Is ForThe functional paradigm is very useful for programmers working in data science, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book.No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential.Table of ContentsUnderstanding Functional ProgrammingIntroducing Essential Functional ConceptsWriting Functions, Iterators, and GeneratorsA Functional Approach to Working with CollectionsWriting Higher-Order FunctionsDefining using Recursion and Defining Reduction FunctionsAdditional Techniques for Immutable DataUsing the Itertools ModuleMore Itertools TechniquesUsing the Functools ModuleUsing the Operator ModuleDesigning Decorators for Functional CompositionUsing the PyMonad LibraryA Functional Approach to Multiprocessing, Threading, and AsyncioA Functional Design for Web ServicesOptimizations and Improvements Python isn’t all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach – and learn when you need to use it. Now with detailed exercises at the end of every chapter! Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsRevised to cover new features of Python 3.10, exercises at the end of every chapter, and more Book Description Not enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with examples centered around data cleaning and exploratory data analysis. You’ll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don’t have to abandon object-oriented design completely, though – you’ll also see how Python’s native object-orientation is used in conjunction with functional programming techniques. By the end of this book, you’ll be well versed in the essential functional programming features of Python, and understand why and when functional thinking helps. You’ll also have all the tools you need to pursue any additional functional topics that are not part of the Python language. What you will learn Use Python’s libraries to avoid the complexities of state-changing classesLeverage built-in higher-order functions to avoid rewriting common algorithmsWrite generator functions to create lazy processingDesign and implement decorators for functional compositionMake use of Python type annotations to describe parameters and results of functionsApply functional programming to concurrency and web servicesExplore the PyMonad library for stateful simulations Who this book is for The functional paradigm is very useful for programmers working in data science, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book. No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential. |
| Author | Lott, Steven F |
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| Contributor | Bánffy, Ricardo |
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| Copyright | 2022 Packt Publishing |
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| Snippet | Python isn’t all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach – and learn when... This book demonstrates how to implement common functional programming design patterns and techniques in Python.Key FeaturesLearn how, when, and why to adopt... |
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| SubjectTerms | Computing and Processing Functional programming (Computer science) Python (Computer program language) |
| Subtitle | Use a functional approach to write succinct, expressive, and efficient Python code |
| TableOfContents | Table of Contents
Understanding Functional ProgrammingIntroducing Essential Functional ConceptsFunctions, Iterators, and GeneratorsWorking with CollectionsHigher-Order FunctionsRecursions and ReductionsComplex Stateless ObjectsThe Itertools ModuleItertools for Combinatorics – Permutations and CombinationsThe Functools ModuleThe Toolz PackageDecorator Design TechniquesThe PyMonad LibraryThe Multiprocessing, Threading, and Concurrent.Futures ModulesA Functional Approach to Web ServicesBonus Online Chapter |
| Title | Functional Python Programming |
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