Numpy Module

Five interesting functions of numpy module

Numpy stands for Numerical Python and is a python module used for numerical computation and mathematical operations on multi-dimensional arrays and the performance increases when compared to normal python standard loops and code. Here I have chosen 5 methods of numpy module and explained it with examples.

numpy.split
numpy.insert
numpy.delete
numpy.stack
numpy.prod

!pip install jovian --upgrade -q

import jovian

jovian.commit(project='numpy-array-operations-aiswarya-s')

[jovian] Attempting to save notebook..
[jovian] Please enter your API key ( from https://jovian.ml/ ):
API KEY: ········
[jovian] Updating notebook "aiswarya-s0309/numpy-array-operations-aiswarya-s" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/aiswarya-s0309/numpy-array-operations-aiswarya-s

'https://jovian.ml/aiswarya-s0309/numpy-array-operations-aiswarya-s'

Let's begin by importing Numpy and listing out the functions covered in this notebook.