5 Usefull Numpy Functions

We will see 5 interesting functions of Numpy in the Python language

Numpy is one of the many libraries in Python Programming Language and is used to perform mathematical calculations.

Function 1 - np.transpose
Function 2 - np.reshape
Function 3 - np.vstack and np.hstack
Function 4 - np.eye
Function 5 - np.maximum

The recommended way to run this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks.

!pip install jovian --upgrade -q

import jovian

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

[jovian] Attempting to save notebook..
[jovian] Please enter your API key ( from https://jovian.ml/ ):
API KEY: ········
[jovian] Updating notebook "swapnilg4u/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/swapnilg4u/numpy-array-operations

'https://jovian.ml/swapnilg4u/numpy-array-operations'

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