Python Numpy Tutorial - 1 - Introduction to NumPy

Welcome to this Python series in which we are going learn about Numpy.

NumPy is a Python library used for working with arrays.
Another thing in Python that is used for working with arrays is Lists. But numpy is 50 times faster than the lists. This is the reason numpy is used in most of the practical applications like data science, machine learning, data analysis and statistics.

I remember I started learning Numpy because this thing was popping up everywhere. If you wanted to learn machine learning this was a pre-requesite, and for good reason. There were two main reason why I started using Numpy -

1) Firstly, Numpy allows you to work with matrices which are an important part in machine learning, in such an easy way you can manipulate it, rearrange it. Change it, do whatever you want.

2) Secondly, it allows you to solve Mathematical Equations. Imagine you take a picture with your camera and feed the extracted data from the image to numpy. Numpy can solve that equation for you! I just think that's pretty cool.

Next video - Basics of Numpy

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[krishankumarsharma]

Thanks Sir for this Python Numpy tutorial Series