Cool Linear Algebra functions in Numpy which everyone can use !

Linear Algebra routines in Numpy

Numpy is the fundamental package for scientific and numerical computing in Python. Its knowledge is useful for understanding other libraries in Python, for example, Pandas and matplotlib, which bulid upon Numpy. The five numpy functions which I will explain in this notebook are:

inner(a,b)
kron(a,b)
linalg.cholesky(a)
linalg.det(a)
linalg.solve(a,b)

!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 "yashmlandai/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/yashmlandai/numpy-array-operations

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

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