April 17, 2024, 7:30 p.m. | SK RAJIBUL

DEV Community dev.to

Introduction:

Python offers powerful built-in functions for working with collections of data: MAP, FILTER, and REDUCE. In just 30 seconds, let's dive into what these functions do and how they can simplify your code.





MAP:


The map function takes in 1) a function and 2) an iterable. The purpose of the function is to apply some sort of transformation to each element inside our iterable (think list). It then applies the function to every element in the iterable, and returns …

code data developer development filter function functions introduction iterable manipulation map programming python reduce

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Engineer - New Graduate

@ Applied Materials | Milan,ITA

Lead Machine Learning Scientist

@ Biogen | Cambridge, MA, United States