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Introduction to Functional Programming

Understand the fundamentals of functional programming in Python, including pure functions and immutability. Learn how this approach improves concurrency, modularity, and testability while enabling scalable distributed systems. Discover practical advantages and gain insights into thinking functionally for better application design.

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Functional programming might not be the first thing you think of when you think of Python, but the support is there, and it is quite extensive. Many Python developers do not seem to realize this: with a few exceptions, functional programming allows you to write more concise and efficient code.

When you write code using a functional style, your functions are designed to not have side effects: they take an input and produce an output without maintaining state or modifying anything not reflected in the return value. Functions that adhere to this ideal are referred to as purely functional.

Lambda

Pure and non-pure functions

To run the following example, click Run and enter command python pure.py.

To change the ...