Python Mastery: 50+ Practical Examples and Applications of Functional Programming

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Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data. In Python, functional programming techniques can be applied to write more concise, readable, and modular code.

Functional programming is about embracing a set of principles that emphasize immutability, pure functions, and declarative styles. The examples showcase how these principles can be applied in Python to write expressive, modular, and predictable code.

I. Key Functional Programming Principles:

1. Immutability: The examples emphasize creating data structures or objects that, once instantiated, do not change. This aligns with the functional programming concept of immutability.
2. Pure Functions: The functions in these examples tend to follow the principles of pure functions — functions that produce the same output for the same input and have no side effects.
3. Higher-Order Functions: Some examples involve higher-order functions, functions that take other functions as arguments or return functions.
4. Lazy Evaluation: Lazy evaluation, a concept where expressions are not evaluated until their results are…