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A comprehensive collection of data structures and algorithms guides, organized by topic.

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Algorithm Patterns That Appear in 80% of Tech Interviews
Master the essential algorithm patterns that appear in most tech interviews with links to in-depth guides for each topic.
Data Structures That Appear in 80% of Tech Interviews
Master the essential data structures for coding interviews: arrays, hash maps, trees, graphs, stacks, queues, heaps, and more.
Dynamic Programming Summary
A comprehensive summary of dynamic programming concepts with chapter links, quick reference, and practice problems.
Every Binary Tree Pattern, Finally Explained
A comprehensive resource covering binary tree traversals, recursion patterns, and common interview techniques.
Binary Search Beyond the Basics
Master binary search patterns, avoid off-by-one errors, and learn to apply binary search to non-obvious problems.
Sliding Window Technique
Master fixed and variable sliding window patterns to solve array and string problems efficiently.
Backtracking Explained Through Sudoku & N-Queens
Learn backtracking through classic examples: Sudoku, N-Queens, permutations, and combinations with clear templates.
Best Programming Languages to Interview In
A practical guide to choosing the right programming language for coding interviews, with pros, cons, and code comparisons.
Graph Algorithms Made Simple: BFS, DFS, Dijkstra
Master graph traversals and shortest path algorithms with clear explanations, templates, and visual examples.
What Is a Trie? No, That's Not a Typo
Learn the trie data structure (prefix tree) for efficient string operations like autocomplete, spell checking, and word search.
The Two Pointer Technique Explained
Master the two pointer technique to solve array and string problems efficiently with O(n) time complexity.
Linked Lists - Why Use Them Instead of Arrays and Common Patterns
Understand when to use linked lists vs arrays, master pointer manipulation, and learn common linked list patterns.
Priority Queue Patterns: Top-K and Beyond
Master heap and priority queue patterns: Top-K problems, median finding, merge K lists, scheduling, and Dijkstra's algorithm.
Bit Manipulation: The Binary Tricks
Master bit manipulation for coding interviews: XOR tricks, bit counting, power of 2 checks, bit masking, and common binary patterns.

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Work through the chapters in order or jump to any topic.

18 - Problem Solving Framework

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