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Difference Between Map And Filter In Python

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Difference Between Map And Filter In Python

distinguishing map and filter functions in Python

Difference Between Map And Filter In Python

In Python, map() and filter() are both functions that take in a function and an iterable as arguments. The map() function applies the provided function to all elements in the iterable and returns a new iterable with the results. On the other hand, the filter() function applies the provided function to each element in the iterable and returns a new iterable containing only the elements for which the function returns True. In essence, map() is used to transform elements in the iterable, while filter() is used to selectively include elements based on a specified condition.

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1 - Map:

     Map is a built in function in Python that applies a given function to each item in an iterable (such as a list, tuple, etc.).

  

2) Filter:

     Filter is also a built in function in Python that creates a new list with elements that satisfy a given condition or function.

  

3) Map:

     Map function returns a new list containing the values returned by the function applied to each element in the input iterable.

4) Filter:

     Filter function returns a new list containing only the elements from the input iterable for which the function returns True.

5) Map:

     Map function can be used to transform the elements in an iterable in a one to one manner using the given function.

6) Filter:

     Filter function is useful for selectively including elements from an iterable based on a specified condition.

7) Map:

     It is typically used when you want to perform a certain operation on every element in a collection.

8) Filter:

     It is commonly used when you want to extract elements from a collection that meet a particular criteria.

9) Map:

     The output of the map function has the same length as the input iterable.

10) Filter:

      The output of filter function may have a different length than the input iterable, as it only includes elements that pass the condition.

If you are planning to offer a training program to students, it would be beneficial to cover both map and filter functions as they are fundamental tools for data manipulation and processing in Python. Students can learn to leverage these functions to streamline their code and efficiently handle data transformations and filtering tasks.

 

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