Crash course on Numpy

Fast forward basic numpy operations

Numpy library provides a set of tools to manage numerical computation od data in Python.
It provides heaps of tools like mathematical functions, arrays, data structures, and other sampling tools to name a few.Below are the basic operations of numpy arrays.

np.array()
np.dot()
np.concatenate()
np.equal()
np.arange()

!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 "rohitguleria54/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/rohitguleria54/numpy-array-operations

'https://jovian.ml/rohitguleria54/numpy-array-operations'

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