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Numpy Introduction

Numpy Array

Numpy Attributes

Numpy generate random numbers

Numpy Slicing

Numpy Concatenate & split

Numpy Insert & delete

Numpy Math

Numpy Condition

Numpy Reshaping

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Introduction of numpy

What is numpy?

Numpy is python framework.If you want to work with matrix or array then you need to use numpy. Numpy helps you to work with 1, 3, 5, n dimensional array or matrix. You can perform various operation on matrix or array using numpy like array or matrix slicing, calculations of matrix, generate matrix or array, change shape of matrix or array, generate random number and many more things. So if you want to create or do calculation on matrix using numpy then you have to numpy.

Numpy use cases

In image preprocessing numpy is widely used. We know that images are noting but matrix. To work with image matrix, you have to use numpy.
For machine learning, deep learning, you will need numpy. For signal processing, scientific computing, data analysis and manipulation you will need numpy. The main thing is, where you need to work with array or matrix, there you will need numpy and there is a huge area where you will work with matrix. So learn numpy.

How to install numpy?

To install numpy in anaconda ,
1. at first open the anaconda powershell or terminal and run the given command.
Command:
pip install numpy.

To install pandas in jupyter notebook ,
1. at first open the jupyter notebook and run the given command.
Command:
!pip install numpy.

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