All about Numpy array operations for Linear Algebra

Matrix and vector products

NumPy :

NumPy is a python library used for working with arrays.
NumPy stands for Numerical Python.
The array object in NumPy is called ndarray, it provides a lot of supporting functions that make working with ndarray very easy.
Arrays are very frequently used in data science, where speed and resources are very important.

Linear Algebra :

In this we will see about Linear Algebra in Matrix and vector products.
A matrix can be simply understood as a two-dimensional array.

List of functions choosen :

numpy.dot
numpy.linalg.multi_dot
numpy.vdot
numpy.inner
numpy.outer

!pip install jovian --upgrade -q

import jovian

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

[jovian] Attempting to save notebook..
[jovian] Please enter your API key ( from https://jovian.ml/ ):
API KEY: ········
[jovian] Updating notebook "aishwaryaaishurangu/numpy-array-operations-on-linear-algebra" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/aishwaryaaishurangu/numpy-array-operations-on-linear-algebra

'https://jovian.ml/aishwaryaaishurangu/numpy-array-operations-on-linear-algebra'

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