Practical guides to the algorithm patterns that show up in real interviews.
Learn matrix traversal patterns with practical Python walkthroughs for spiral matrix, rotate image, and search 2D matrix interview problems.
Learn how to solve top K interview problems with heaps, including kth largest element and k closest points, with Python examples and complexity tradeoffs.
Learn Dijkstra, Bellman-Ford, and how to choose the right shortest path algorithm for weighted graph interview problems.
Learn the core bit manipulation patterns for interviews: XOR, single number, counting bits, and how to reason about them step by step.
Learn string matching with KMP and Rabin-Karp. Build intuition, trace examples, and compare efficient pattern matching approaches in Python.
Learn the fast and slow pointer pattern, why it works, and how to solve linked list cycle and happy number problems with Floyd’s algorithm.
Learn how to apply binary search beyond sorted arrays, including rotated arrays and binary search on answer with clear Python examples.
Learn how to solve 2D DP grid problems like Unique Paths and Minimum Path Sum with clean state design, Python code, and interview-ready intuition.
Learn the core interval patterns for interview problems: merge intervals, insert interval, and meeting rooms with Python walkthroughs.
Learn the two heaps pattern through the Median Finder problem, with Python code, step-by-step reasoning, and interview-ready insights.
Turn any LeetCode problem into an interactive lesson — trace variables, visualize the algorithm, and practice until it clicks.
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