Understand Big O Notation in Python

About this course

In this 1-hour long project, you will gain first-hand experience using Python to model algorithmic efficiency tradeoffs. By implementing simulations of real-world systems using Big O notation, you will be able to quantify performance impacts of technical and business decisions. This will prepare you to advocate the importance of scale efficiency in data systems you design and maintain.

What you will learn

• Model algorithmic complexity using Big O notation
• Simulate and compare business systems with different efficiency
• Plot performance over time to visualize scale efficiency