generate your own visual cheatsheets
🔁 Data Structures Cheatsheets
Browse AI-generated Data Structures cheatsheets with one-page visual study aids for the key formulas, concepts, and definitions you need for your exam review.
Browse AI-generated Data Structures cheatsheets with one-page visual study aids for the key formulas, concepts, and definitions you need for your exam review.
AI-generated one-pagers for a single topic. Make your own, or browse what other students have made.
choose a topic in Data Structures
add custom requests (optional)

Unit 1 - 1.1 Fundamentals of Data Structures and Abstract Data Types

Unit 1 - 1.2 Algorithm Analysis and Big O Notation

Unit 1 - 1.3 Time and Space Complexity

Unit 1 - 1.4 Data Structure Selection and Trade-offs

Unit 2 - 2.1 Array Operations and Implementation

Unit 2 - 2.2 Singly Linked Lists

Unit 2 - 2.3 Doubly Linked Lists and Circular Linked Lists

Unit 2 - 2.4 Comparison of Arrays and Linked Lists

Unit 3 - 3.1 Stack ADT and Applications

Unit 3 - 3.2 Queue ADT and Applications

Unit 3 - 3.3 Implementation of Stacks and Queues using Arrays and Linked Lists

Unit 4 - 4.1 Principles of Recursion

Unit 4 - 4.2 Recursive Problem-Solving Techniques

Unit 4 - 4.3 Tail Recursion and Optimization

Unit 4 - 4.4 Applications of Recursion in Data Structures

Unit 5 - 5.1 Tree Terminology and Properties

Unit 5 - 5.2 Binary Tree Representation and Traversals

Unit 5 - 5.3 Tree Applications and Implementations

Unit 6 - 6.1 BST Properties and Operations

Unit 6 - 6.2 BST Implementation and Analysis

Unit 6 - 6.3 Self-Balancing BSTs Introduction

Unit 7 - 7.1 AVL Trees: Properties and Operations

Unit 7 - 7.2 Red-Black Trees: Properties and Operations

Unit 7 - 7.3 Comparison of AVL and Red-Black Trees

Unit 8 - 8.1 Priority Queue ADT

Unit 8 - 8.2 Heap Data Structure and Operations

Unit 8 - 8.3 Heap Implementation and Applications

Unit 9 - 9.1 Hash Function Design and Properties

Unit 9 - 9.2 Collision Resolution Techniques

Unit 9 - 9.3 Hash Table Implementation and Analysis

Unit 10 - 10.1 Graph Terminology and Properties

Unit 10 - 10.2 Graph Representation Methods

Unit 10 - 10.3 Graph ADT and Basic Operations

Unit 11 - 11.1 Breadth-First Search (BFS) Algorithm

Unit 11 - 11.2 Depth-First Search (DFS) Algorithm

Unit 11 - 11.3 Applications of BFS and DFS

Unit 12 - 12.1 Minimum Spanning Tree Algorithms (Prim's and Kruskal's)

Unit 12 - 12.2 Shortest Path Algorithms (Dijkstra's and Bellman-Ford)

Unit 12 - 12.3 Applications of MST and Shortest Path Algorithms

Unit 13 - 13.1 Comparison-Based Sorting Algorithms

Unit 13 - 13.2 Non-Comparison Sorting Algorithms

Unit 13 - 13.3 Sorting Algorithm Analysis and Trade-offs

Unit 14 - 14.1 Linear and Binary Search Algorithms

Unit 14 - 14.2 Tree and Graph Search Algorithms

Unit 14 - 14.3 String Searching Algorithms

Unit 15 - 15.1 Greedy Algorithm Design

Unit 15 - 15.2 Divide and Conquer Strategies

Unit 15 - 15.3 Dynamic Programming Fundamentals

Unit 15 - 15.4 Comparative Analysis of Algorithm Design Techniques
A cheatsheet condenses a whole course into the facts you actually need on exam day. The Data Structures cheatsheets on this page summarize the key formulas, concepts, and definitions from each unit so you can review the entire course at a glance.
They work best as a final review: skim the one-page summary, spot the units you want to strengthen, then go deeper with the Data Structures study guides. The visual cheatsheets in the gallery are organized by unit, and you can generate your own for any topic you want a quick refresher on.