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Assignment 2 - Numpy Array Operations

This assignment is part of the course "Data Analysis with Python: Zero to Pandas". The objective of this assignment is to develop a solid understanding of Numpy array operations. In this assignment you will:

Pick 5 interesting Numpy array functions by going through the documentation: https://numpy.org/doc/stable/reference/routines.html

Run and modify this Jupyter notebook to illustrate their usage (some explanation and 3 examples for each function). Use your imagination to come up with interesting and unique examples.

Upload this notebook to your Jovian profile using jovian.commit and make a submission here: https://jovian.ml/learn/data-analysis-with-python-zero-to-pandas/assignment/assignment-2-numpy-array-operations

(Optional) Share your notebook online (on Twitter, LinkedIn, Facebook) and on the community

MrManu Exploration into Numpy

Discovering New Horizons

Numpy is a python programming language. Numpy is used primarily for working with something called arrays. I am still trying to grasp the understanding of this section but I will shoot my shot.

function 1 numpy.diag
function 2 numpy.sin
function 3 numpy.flip
function 4 numpy.standard deviation
function 5 numpy.square root

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

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

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