Data Structures and Algorithms The Complete Masterclass - Complexity Analysis

This lecture introduces complexity analysis, emphasizing its role as the foundation of data structures and algorithms. It discusses how different solutions to a problem can vary in performance, focusing on readability and scalability as key factors of good code. The lecture explains time and space complexity, and introduces Big O notation as a tool to evaluate and rate code performance. The aim is to provide a basic understanding of these concepts, with more detailed examples to follow in the next lecture.

What is the purpose of Big O notation in coding?

How do you judge if one implementation is faster than another?

What are the different ratings used to define the performance of a code base?