Functional Programming With Python

Functional Programming With Python:

Welcome to the best and most comprehensive introduction to functional programming in Python!

In this beginner-friendly course, you will get to learn and practice Python’s functional capabilities step-by-step, from the ground up.

• immutability: the idea that data should not be modified in place
• purity: the practice of writing functions that do not cause side effects
• higher-order functions: treating functions as pari passu with other data types
• recursion: the pattern of writing functions that call themselves
• referential transparency: the principle that a function call can be replaced with its return value without changing the program’s behavior
• map, filter, reduce, zip, any, all: utilities for working with iterables
• list, set, dictionary, and generator comprehensions: concise ways of creating lists, sets, dictionaries, and generators
• generator functions and iterators: functions that can be paused and resumed
• variable arity: functions that can take a variable number of arguments, unknown at the time of writing the function
• closures: higher-order functions that can access non-local variables
• recursion: functions that call themselves
• partial function application: functions that return other functions, with some arguments pre-filled
• currying: a special case of partial function application
• memoization: caching the results of function calls to speed up execution
• infinite iterators: iterators that never end
• functional overloading: functions that behave differently depending on their inputs

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