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Binary Search: Halving the Haystack

Search a sorted array in O(log n) by halving it every step. Watch lo, mid, and hi close in on the target with an interactive visualizer and runnable Python.

Aug 15, 20265 min

Stacks & Queues: LIFO vs FIFO, Explained

Stacks (LIFO) and queues (FIFO) drive undo, the call stack, and task processing. See their core ops with interactive visualizers and runnable Python.

Aug 15, 20265 min

Sorting II: Merge Sort & Quicksort

Divide and conquer sorting: merge sort's stable O(n log n) and quicksort's partitioning, average O(n log n) and worst O(n²), with a live visualizer and runnable Python.

Aug 14, 20266 min

Sorting I: Bubble, Selection & Insertion

The three quadratic sorts explained: how bubble, selection, and insertion sort each work, why they're O(n²), with a live visualizer and runnable Python.

Aug 14, 20265 min

Recursion & the Call Stack

How recursion actually works: base case vs recursive case, and how the call stack grows and unwinds, visualized step by step with runnable Python you can edit.

Aug 13, 20265 min

Two Pointers & the Sliding Window

Two interview-favorite patterns that turn O(n²) brute force into O(n): two pointers and the sliding window, shown live and in runnable Python you can edit.

Aug 13, 20265 min

Arrays & Strings: The Workhorse Data Structure

How arrays use contiguous memory for O(1) indexing but O(n) search and insert, and why strings are immutable arrays of characters, with a live two-pointer scan and Python.

Aug 12, 20266 min

Hash Maps & Sets: O(1) Lookups Explained

How hashing maps a key to a bucket for average O(1) lookups, what collisions and chaining are, and why order isn't guaranteed, with a live visualizer and runnable Python.

Aug 12, 20266 min

Big-O Notation: Measuring How Code Scales

Big-O is the language of growth: constant, linear, quadratic, log and linearithmic explained. Drop the constants, read any snippet's cost, with a live chart and Python.

Aug 11, 20266 min