5 Numpy Functions

Here are 5 very useful numpy functions with examples

Numpy is a library in python which is very useful for numerical analysis in python. Numerical analysis is an integral part of data analysis with python and having an understanding of numpy functions can make the job of data analytics very easy. In this document I am go to share 5 useful functions will 3 examples of each.

Enjoy Exploring!!!!

Here is the list of functions that are explained in detail further in this document.

np.busday_count
np.sort
np.reshape
np.split
np.amin

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] Updating notebook "satyamtiwari1920/numpy-array-operations" on https://jovian.ai
[jovian] Committed successfully! https://jovian.ai/satyamtiwari1920/numpy-array-operations

'https://jovian.ai/satyamtiwari1920/numpy-array-operations'

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