Python Programming Basics Practice Test: Python Functional Programming Tools And Mapping Functions — Flashcards

Python provides several tools and features that support functional programming, including:
Functions: Functions are first-class objects in Python, which means that they can be assigned to variables, passed as arguments to other functions, and returned from functions.
Higher-order functions: Higher-order functions are functions that take other functions as arguments or return functions as results.
Lambda functions: Lambda functions are anonymous functions that can be defined on the fly.
Iterators: Iterators are objects that provide a sequence of values.
Generators: Generators are functions that can be used to create iterators.

These tools and features can be used to implement a variety of functional programming techniques, such as:
Mapping: Mapping is a technique for applying a function to each element in a sequence.
Filtering: Filtering is a technique for removing elements from a sequence that do not meet a certain criterion.
Reducing: Reducing is a technique for combining the elements of a sequence into a single value.

The map() function takes two arguments: a function and a sequence. It applies the function to each element in the sequence and returns a new sequence containing the results.
The filter() function takes two arguments: a function and a sequence. It returns a new sequence containing the elements of the original sequence for which the function returns True.
The reduce() function takes three arguments: a function, a sequence, and an initial value. It applies the function to each element in the sequence, starting with the initial value, and returns the final result.
 

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