Sorting, searching, and counting with Numpy

5 usefule numpy functions for Sorting, searching, and counting

Searching, sorting and counting are the most commonly perfomed operations while working on any project.
Today we will learn how we can utilise Numpy to perform these operation effectively and efficiently. Numpy is the one of the most talked about library in the world of data science and python. It provides many function to perform msathematical operation on data. Today we will focus onSorting, searching, and counting

Sort
argwhere
argmax
argmin
count_nonzero

!pip install jovian --upgrade -q

import jovian

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

[jovian] Attempting to save notebook..
[jovian] Updating notebook "shaikhriyaz434/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/shaikhriyaz434/numpy-array-operations

'https://jovian.ml/shaikhriyaz434/numpy-array-operations'

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