

Let's create a pure function to multiply numbers by 2: def multiply_2_pure( numbers):Ĭhanged_numbers = multiply_2_pure(original_numbers) As it does not change the state of any variable, we are guaranteed to get the same output every time we run the function with the same input. This makes the function we write much easier to test. If you'd like functions to be pure, then do not change the value of the input or any data that exists outside the function's scope. Without any special Python features or libraries, we can start coding in a more functional way. Haskell has also influenced iterators and generators in Python through its lazy loading, but that feature isn't necessary for a functional language.

This allows us to abstract over actions, giving us flexibility in our code's behavior.
Functional programming language list code#
With Python, it's easy to write code in a functional style, which may provide the best solution for the task at hand. Python is not a functional programming language but it does incorporate some of its concepts alongside other programming paradigms. While there is no strict definition of what constitutes a functional language, we consider them to be languages that use functions to transform data. Functional Programming is a popular programming paradigm closely linked to computer science's mathematical foundations.
