Functional Python Programming: Discover the Power of Functional Programming, Generator Functions, Lazy Evaluation, the Built-In Itertools Library, and Monads, 2nd Edition

Description

Create succinct and expressive implementations with functional programming in Python Key FeaturesLearn how to choose between imperative and functional approaches based on expressiveness, clarity, and performanceGet familiar with complex concepts such as monads, concurrency, and immutabilityApply functional Python to common Exploratory Data Analysis (EDA) programming problemsBook Description If you're a Python developer who wants to discover how to take the power of functional programming (FP) 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. You'll see how these are accomplished in Python 3.6 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 learn FP concepts such as lazy evaluation using Python's generator functions and expressions. Moving forward, you'll learn to design and implement decorators to create composite functions. You'll also explore data preparation techniques and data exploration in depth, and see how the Python standard library fits the functional programming model. Finally, to top off your journey into the world of functional Python, you'll at look at the PyMonad project and some larger examples to put everything into perspective. What you will learnUse Python's generator functions and generator expressions to work with collections in a non-strict (or lazy) mannerUtilize Python library modules including itertools, functools, multiprocessing, and concurrent features to ensure efficient functional programsUse Python strings with object-oriented suffix notation and prefix notationAvoid stateful classes with families of tuplesDesign and implement decorators to create composite functionsUse functions such as max(), min(), map(), filter(), and sorted()Write higher-order functionsWho This Book Is For This book is for Python developers who would like to perform Functional programming with Python. Python Programming knowledge is assumed. Table of ContentsUnderstanding Functional ProgrammingIntroducing essential functional conceptsFunctions, Iterators and GeneratorsWorking with CollectionsHigher-Order FunctionsRecursions and ReductionsAdditional tuple techiquesThe Itertools ModuleMore Itertools TechniquesThe Functools ModuleDecorator Design TechniquesThe Multiprocessing and Threading ModulesThe Operator ModuleThe PyMonad LibraryA Functional Approach to Web ServicesOptimizations and Improvements