Thus, functions are much more than ordinary routines. Functional programming is a kind of the declarative programming paradigm where functions represent relations among objects, like in mathematics. Show you how Python allows you to switch between the two. When people talk about functional programming, they mention a dizzying number of “functional” characteristics. These are language features that aid functional programming. The following modules are documented in … That means that function definitions can be assigned to variables and passed around. In this post, we will: Explain the basics of functional programming by comparing it to object-oriented programming. Comparing object … Cover why you might want to incorporate functional programming in your own code. Functional Programming Modules — Python 3.8.3 documentation Functional Programming Modules ¶ The modules described in this chapter provide functions and classes that support a functional programming style, and general operations on callables. functional also includes sane versions of the Python builtins map () and filter (), written without the weird semantics of the builtin versions. This article presents some of the most important aspects of functional programming in general and provides several examples in Python. They mention immutable data1, first class functions2and tail call optimisation3. Though Python is not primarily a functional language, it is able to support functional programming relatively easily because everything in Python is an object. Functional programming gets its name from writing functions which provides the main source of logic in a program. functional provides Python users with numerous tools common in functional programming, such as foldl, foldr, flip, as well as mechanisms for partial function application and function composition.