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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.

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.

Five Numpy array functions that will surprise you:

NumPy is an apprivation for the nummerical python. It is a very usefull library for mathimatics and other related sciences.

Overview:

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
NumPy is open-source software and has many contributors.

The following functions will be presented:

  • split
  • linalg.solve
  • matmul
  • sum
  • char.count
!pip install jovian --upgrade -q
import jovian
jovian.commit(project='numpy-array-operations')
[jovian] Detected Colab notebook... [jovian] Please enter your API key ( from https://jovian.ml/ ): API KEY: ·········· [jovian] Uploading colab notebook to Jovian... [jovian] Committed successfully! https://jovian.ml/alaa-diab7777/numpy-array-operations 
'https://jovian.ml/alaa-diab7777/numpy-array-operations'

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