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Difference Between Map, Reduce And Filter In Python with examples
Map vs Reduce vs Filter
How To Use Map
Reduce & Filter in Python
Difference Between Map
Reduce & Filter In Python With Examples
Python Map and Reduce and Filter

Understanding the differences between map, reduce, and filter functions is essential for any Python developer looking to write cleaner, more concise, and efficient code. So, whether you're a beginner or an experienced Python coder, this video will provide you with a solid understanding of map, reduce, and filter functions, their unique characteristics, and how they can enhance your programming skills. Stay tuned and let's dive into the fascinating world of Python Map, Reduce & Filter! Don't forget to like and subscribe to our channel for more Python tutorials and helpful content.

Map(): Perform the same operation on all elements in an iterable. An example is performing a log transformation on each element.
syntax : map(function, iterable)

Filter(): Filters a subset of elements that meets a certain condition(s). An example is to filter out sentences that contain a specific string.
syntax : filter(function, iterable)

Reduce(): Performs an operation on an iterable, yielding a single-valued outcome
syntax :
from functools import reduce
functools.reduce(function, iterable)

In summary, map applies a function to each element of an iterable,
filter returns only the elements that satisfy a condition,
and reduce aggregates the elements of an iterable into a single value using a function.

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