Fundamental computer science concepts, theory, computational thinking, and academic foundations of computing for deeper understanding.
A deep, honest exploration of Quick Sort—how partitioning creates order, why average-case performance beats guarantees, and how design choices shape real-world speed.
A methodical deep dive into Merge Sort—how divide-and-conquer beats quadratic time, why merging is where correctness lives, and how O(n log n) changes what is possible at scale.
A practical exploration of Selection Sort—how it works, why its invariant matters, when it performs well, and how it compares to Bubble Sort and Insertion Sort. Includes pseudocode, diagrams, benchmarks, and implementations across major languages.
A deep, practical exploration of Insertion Sort—how it works, why its loop invariant matters, when it outperforms more complex algorithms, and how it adapts across major programming languages.
A clear, language-spanning walkthrough of the simplest sorting algorithm in computer science—why it works, where it fails, and what it still teaches us today.
A practical, language-spanning tour of what algorithms are, how they’re structured, why Big-O matters, and how to implement and analyze a simple min/max routine from pseudocode to production-grade code.
