Examples of functions in numpy

Study of some functions

According to W3Schools, 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 up to 50x faster than traditional Python lists. Some functions are:

split
tile
flip
transpose
delete

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] Updating notebook "ilebcnog/numpy-array-operations" on https://jovian.ai
[jovian] Uploading notebook..
[jovian] Uploading additional files...
[jovian] Committed successfully! https://jovian.ai/ilebcnog/numpy-array-operations

'https://jovian.ai/ilebcnog/numpy-array-operations'

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