Functional Programming in Python

Functional Programming in Python

Python is not a functional programming language, but it is a multi-paradigm language that makes functional programming easy to perform, and easy to mix with other programming styles. Functional programming is a programming paradigm where programs are constructed by applying and composing functions.

In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions. (Wikipedia)

Need for Functional Programming(FP)

  • The usage of Functional Programming provides us with separation of concern where we can separate data and logic separately. Hence, the code becomes clear and easy to understand to a developer.
  • Functional Programming follows the DRY (Do not Repeat Yourself) principle.
  • Code which follows Functional Programming practice is memory-efficient.
  • The codebase which implements Functional Programming will also be easy to extend and maintain.

Pure functions

  • One of the important concepts in functional programming is the usage of pure functions.
  • A function is said to be a Pure function if:

1) Given the same input, the function will always return the same output.

2) The function must not produce any side effects.

  • Side effects are things that a function does that affect the outside world, that is they change the state of the program.
  • Changing the data in a variable, printing output can be considered as some examples of side effects of a function.






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