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.