9. Numpy Vs. Python List (Part 3) [ Speed ] [Explained Practically]

In this Numpy tutorial video, we are going to discuss:

How NumPy Arrays are faster than Python List?

In this video, we are going to compare Numpy with Python list to prove NumPy operation "SPEED" is incredible fast as compare to Python Lost.
Jump to Coding Part: 3:40

NumPy is a library for the Python programming language which helps in Machine Learning, Deep Learning, Image processing, etc, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

We will discuss similarities and differences between list and NumPy array in detail.

Advantages of using NumPy Arrays:

The most important benefits of using it are :

It consumes less memory.
It is fast as compared to the python List.
It is convenient to use.

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