5 Basic Numpy Array Functions for Practice

Introduction

NumPy stands for Numerical Python.NumPy is a python library used for working with arrays.It also has functions for working in domain of linear algebra, fourier transform, and matrices.NumPy aims to provide an array object that is much faster that traditional Python lists.

I am going to use following fuctions for this submission.

place() - Under Topic Inserting data into arrays
append() - Under Topic Adding and removing elements
linalg.det() - Under Topic Norms and other numbers
matmul() - Under Topic Matrix and vector products
linalg.solve() - Under Topic Solving equations and inverting matrices

Each function is being explained using three examples below.

!pip install jovian --upgrade -q

import jovian

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

[jovian] Attempting to save notebook..
[jovian] Updating notebook "amberk73/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/amberk73/numpy-array-operations

'https://jovian.ml/amberk73/numpy-array-operations'

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