DSA Cheat Sheet – Data Structures & AlgorithmsFree

A comprehensive Data Structures and Algorithms (DSA) Cheat Sheet covering essential concepts for programming, problem-solving, coding practice, and technical interviews. The material starts with DSA fundamentals, time and space complexity, and Big-O notation, followed by mathematics for DSA including prime numbers, GCD/LCM, modular arithmetic, sieve of Eratosthenes, fast exponentiation, and bit manipulation.

Topics include Arrays, Strings, Linked Lists, Stacks, Queues, Recursion & Backtracking, Searching, Sorting, Hashing, Trees, Tries, Graphs, Greedy Algorithms, Dynamic Programming, Sliding Window & Two Pointer techniques, and Bit Manipulation. The cheat sheet provides concise explanations, algorithms, Python examples, use cases, and complexity information.

It also covers important interview and competitive-programming concepts such as BFS, DFS, Dijkstra, Bellman-Ford, Floyd-Warshall, MST, Union-Find, KMP, Rabin-Karp, AVL Trees, Segment Trees, K-Means-style problem solving patterns, Knapsack, LCS, LIS, Matrix Chain Multiplication, and more.