Currently, we have visualizations for the following data structures and algorithms: Basics ; Stack: Array Implementation; Stack: Linked List Implementation; Queues: Array Implementation; Queues: Linked List Implementation; Lists: Array Implementation (available in java version) Lists: Linked List Implementation (available in java version) Recursion

(Compact) Array is among the easiest and the most versatile data structure in Computer Science. Array is built-in almost all programming languages, e.g., C++, Python ('array' is called as 'list' in Python), Java, etc. We can use (Compact) Array to solve many classic problems.

Learn data structures through interactive visualizations and step-by-step tutorials

In VisuAlgo, you can use your own input for any algorithm instead of using only the provided sample inputs. This is one of the key feature of VisuAlgo. Try the graph drawing feature in these 9 graph-related visualizations: Graph DS, DFS/BFS, MST, SSSP, Max Flow, Matching, MVC, Steiner Tree, and TSP.

Interactive Array Visualizer built with HTML, CSS, and JavaScript: A web-based tool for visualizing and manipulating array data structures. Features include dynamic multi-array support, custom color schemes, selective operations, and PNG export.

This repository hosts an interactive web application designed to visualize fundamental data structures, including Arrays, Trees, Sorting algo , LinkedList, Stacks, and Queues. The application is built using React for the frontend and D3.js for dynamic data visualization, providing users with a hands-on learning experience.

An array is a fundamental data structure in computer science that stores a collection of elements in contiguous memory locations. This arrangement enables efficient access through indexing, allowing elements to be retrieved in constant time.

Learn about and visualize different data structures like arrays, linked lists, stacks, queues, and more. A collection of elements stored at contiguous memory locations, allowing for constant-time access to elements. A first-in-first-out (FIFO) data structure with …

There are various types of data structures, each designed to solve specific kinds of problems. Some common examples include arrays, stacks, queues, linked lists, trees, and hash tables. The choice of data structure depends on the specific operations that …

Is there a better way of understanding how data can be stored and organised than seeing it in action? This tool will show both practical and theoretical aspects of the operation of data structures. Begin. This website was developed as a Summer Internship project by two former Computer Science students of Trinity College Dublin.