Playing with Numpy

Numpy is a bulit-in library in Python, for scientific computing. One of the main fetaures of numpy is the ability to create arrays, that makes computations easier and much faster than python lists. It supports creation of multi-dimensional arrays and a variety of operations that can be performed on these arrays. Some the functions are:

np.transpose
np.cos
np.eye
np.concatenate
np.round

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] Creating a new project "abhinavunniyattil00/numpy-array-operations"
[jovian] Uploading notebook..
[jovian] Uploading additional files...
[jovian] Committed successfully! https://jovian.ai/abhinavunniyattil00/numpy-array-operations

'https://jovian.ai/abhinavunniyattil00/numpy-array-operations'

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