Higher Order Functions Python
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Python Functional Paradigms: A Detailed Mastery Guide
Immerse yourself in the intricacies of the functional programming paradigm with "Python Functional Paradigms: A Detailed Mastery Guide." This extensive resource advances your Python skills by delving into the sophistication and potential of functional programming. Ideal for intermediate Python developers seeking to understand FP concepts fully, or seasoned programmers aiming to sharpen their functional programming expertise, this guide is specifically crafted to meet your needs. The book thoughtfully encompasses a diverse array of subjects, starting with essential functional programming principles such as pure functions, immutability, and first-class functions, advancing to intricate concepts including monads, functors, and generators. Each chapter is meticulously designed to provide a thorough examination of fundamental functional programming ideas within the Python ecosystem. With practical examples throughout, the book demonstrates how to apply these concepts efficiently in real-world situations, allowing you to create code that is modular, efficient, and easy to understand. "Python Functional Paradigms: A Detailed Mastery Guide" is much more than just a book; it's a crucial resource that inspires you to embrace functional thinking, empowering you to produce Python code that is not only efficient but also transformational. Harness the power of functional programming and start crafting cleaner, more effective Python code today.
Mastering Functional Programming in Python: Unlock the Secrets of Expert-Level Skills
In a rapidly evolving software development landscape, possessing a deep understanding of diverse programming paradigms is essential for success. "Mastering Functional Programming in Python: Unlock the Secrets of Expert-Level Skills" serves as a crucial guide for experienced programmers aiming to expand their mastery of Python by delving into the world of functional programming. This book demystifies complex concepts and presents clear, practical insights that empower developers to harness Python’s versatile functionalities with finesse and precision. Embark on an enlightening journey through core concepts such as immutability, higher-order functions, and recursion, while exploring advanced topics like monads, concurrency, and parallelism. The book vividly demonstrates how functional programming principles can transform code reliability, scalability, and efficiency, offering readers a blend of theoretical knowledge and hands-on application. With Python’s robust capabilities, this text prepares you to tackle real-world challenges using functional paradigms, enhancing your ability to produce high-quality, maintainable code. Each chapter is meticulously crafted to build upon foundational skills, merging detailed explanations with practical examples and exercises. Whether you’re optimizing existing systems or crafting innovative solutions, this book is your trusted companion in evolving into an expert-level programmer adept in combining Python’s power with the transformative capabilities of functional programming. Embrace this opportunity to redefine your programming approach, armed with a toolkit that blends elegance, functionality, and efficiency at every step.
Functional Python Programming
Author: Steven F. Lott
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-04-13
Create succinct and expressive implementations with functional programming in Python Key Features Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance Get familiar with complex concepts such as monads, concurrency, and immutability Apply functional Python to common Exploratory Data Analysis (EDA) programming problems Book 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 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 features to ensure efficient functional programs Use Python strings with object-oriented suffix notation and prefix notation Avoid stateful classes with families of tuples Design and implement decorators to create composite functions Use functions such as max(), min(), map(), filter(), and sorted() Write higher-order functions Who this book is for This book is for Python developers who would like to perform Functional programming with Python. Python Programming knowledge is assumed.