T�tulo: Functional Programming in Python: A Modern Approach: Beyond OOP: From Basics to Advanced Techniques in Functional Programming for the Modern Python De
Editor: Independently published
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 13: 9798288194382
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: As New

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Sinopsis

What You Will Learn in This Book

Master the core principles of Functional Programming (FP), including immutability, pure functions, and higher-order functions, to write more predictable and testable Python code.
Leverage Python's built-in functional tools like lambda expressions, map, filter, reduce, and various comprehensions for concise and efficient data manipulation.
Utilize advanced functional techniques such as closures, decorators, partial application, and recursion to build sophisticated and reusable functions.
Implement effective error handling strategies in a functional style, moving beyond traditional exception handling for more robust applications.
Work with immutable data structures in Python, understanding their benefits for program clarity and concurrency, and explore relevant third-party libraries.
Design and implement functional data processing pipelines using iterators, generators, and the itertools module for memory-efficient and scalable solutions.
Apply functional design patterns like function composition and understand conceptual aspects of Monads and Functors to structure complex applications.
Integrate functional programming seamlessly with Object-Oriented Python (OOP), learning when and how to combine paradigms for optimal results.
Refactor existing imperative code into a functional style to improve readability, reduce side effects, and enhance maintainability.
Develop robust testing strategies for functional code, benefiting from the inherent testability of pure functions and exploring property-based testing.
Simplify concurrency and parallelism in your Python applications by minimizing shared mutable state and leveraging functional approaches with multiprocessing and asyncio.
Utilize modern Python features like type hinting, structural pattern matching, and the walrus operator to write more expressive and type-safe functional code.
Optimize functional Python code for performance, understanding the trade-offs and applying techniques like memoization where beneficial.
Explore key functional programming libraries within the Python ecosystem, such as toolz and fn.py, to extend your functional toolkit.
Analyze real-world case studies demonstrating the practical application of functional programming principles in various Python projects.

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