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.

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