We have already learnt about the basics of Numpy in the in-class session. We have learnt about

• NumPy
  • Creating Arrays
  • Built-in Methods
  • Random Numbers
• Data Manipulation
  • Operators with NumPy
  • Reshaping
  • Arithmetic
  • Aggregation
  • Mathematical Functions

Let's consolidate our concepts of Numpy as it is an extremely fast and easy-to-use tool for data manipulation. Doing this assignment will help you get acquainted with Numpy operations and various frequently used data manipulation techniques.

Here is a link to a handy cheatsheet of Numpy for your reference.

In the previous assignment, we have worked with the json/yaml data of ball-by-ball delivery of one IPL match. In this assignment, we provide the ball-by-ball delivery information of a lot of matches in tabular (CSV) format.

So let's get started!

You have an opportunity to earn a total of 450 points by solving all assignments of this project.