Skip to content

Latest commit

 

History

History
30 lines (22 loc) · 1.07 KB

README.md

File metadata and controls

30 lines (22 loc) · 1.07 KB
Raw

Numpy Basics

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

Why solve this assignment

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.

About the dataset

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.