Resources - aloalgo

Resources - aloalgo

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

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.

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

What is an Algorithm?What is a Data Structure?

Arrays Strings Sliding Window Binary Search Prefix & Suffix ArraysIntervalsComing SoonSummary

Hash Sets Hash Maps Frequency Counting Lookup Optimization Two Sum Summary

Greedy Algorithms When Greedy Works Summary

Introduction to Stacks and Queues Stack Applications and Patterns Queue Applications and Patterns Summary

Recursion Basics Introduction to Backtracking N-Queens Sudoku Summary

Introduction to Linked Lists Pointer Manipulation Summary

Basics Opposite Ends Same Direction Fast & Slow Summary

Tree Fundamentals & Terminology Binary Search Trees Tree Traversals (DFS & BFS)Recursive Thinking for Trees Summary

Graph Fundamentals & Terminology Graph Representation Graph Traversal (DFS, BFS)Dijkstra Topological Sort Summary

Introduction to Heaps Heap Implementation & Library Min Heap vs Max Heap Heap Patterns and Applications Summary

Recursion → Memoization 1D Dynamic Programming 2D Dynamic Programming Space Optimization for DP Summary

Introduction to Sorting Bubble, Insertion and Selection Sort Merge, Quick, and Heap Sort Radix and Counting Sort Summary

Introduction to Trie Trie Implementation Trie Applications Summary

GCD & LCM Prime Numbers & Sieve Modular Arithmetic Summary

Introduction to Geometry Distance and Orientation Summary

Introduction to Bit Manipulation Bitwise Operators Common Bit Tricks Summary

Cheat Sheet DSA Glossary

Contact Us Privacy Policy

Study plan All problems

Resources Cheat Sheet DSA Glossary

© 2026 aloalgo. All rights reserved.