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Interesting NumPy Functions: Deep Dive

Introduction

This notebook briefly covers some interesting functions in the NumPy library. NumPy is a very popular distributable library that can be used for processes ranging from simple matrix computations to astronomy computing. This notebook will cover 5 functions shown below:

  • square()
  • transpose()
  • sort()
  • argmin()
  • reshape()
!pip install jovian --upgrade -q
import jovian
jovian.commit(project='numpy-array-operations')
[jovian] Attempting to save notebook.. [jovian] Updating notebook "allenkong221/numpy-array-operations" on https://jovian.ml/ [jovian] Uploading notebook.. [jovian] Capturing environment.. [jovian] Committed successfully! https://jovian.ml/allenkong221/numpy-array-operations 
'https://jovian.ml/allenkong221/numpy-array-operations'

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