Learn Linear Algebra Using Numpy

Numpy Magic For Linear Algebra

Hello.!!
Numpy(Numarical Python) provide lots of method to perform Numerical operations, like array creation, string operation,record building,trigonmatory, financial calculation, binary operation and so on, which is not only making our life easier but also save our time to calculate some complex equations, Thanks to Python..!!

So From The Ocean of numpy we will take a interesting topic called "Linear Algebra" and see how much it is easier to perform complex equations in seconds using numpy.

So Today we will cover following linear algebra functions and perform some examples on it,

numpy.linalg.inv(a)
numpy.linalg.matrix_power(a,n)
numpy.linalg.solve(a,b)
numpy.linalg.det(a)
numpy.vdot(a,b)

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 "prince014/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/prince014/numpy-array-operations

'https://jovian.ml/prince014/numpy-array-operations'

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