"An algorithm must be seen to be believed"

Algorithms are the procedures by which we transform raw data into actionable knowledge. They are the "verbs" of computer science.

In this series, we move beyond simple implementations to understand the underlying principles of algorithmic design: Divide and Conquer, Greedy strategies, and the exhaustive beauty of Dynamic Programming.

Core Patterns

  • Search & Sort: The foundational transformations.
  • Traversal: Navigating the abstract landscapes of graphs and trees.
  • Optimization: Finding the best path in a world of constraints.
  • Complexity Analysis: Mastering the Big O notation to predict the future of your code.