Data Structures and Algorithms in Java | Coding Elements

Learn data structure & algorithms in an easy & interactive way from India's best coding Institute Coding Elements & refresh your data structure and algorithms skills in java.

Prim's Algorithm: Quick Guide with Examples

This free guide, Prim's Algorithm: Quick Guide with Examples, an accessible introduction to one of graph theory’s most important optimization techniques. It covers the fundamentals of graphs, weights, spanning trees, and minimum spanning trees, and then demonstrates how the algorithm incrementally builds a network by always selecting the lowest-cost edge that expands the tree.

The Quick Guide to Dijkstra's Algorithm

The Quick Guide to Dijkstra’s Algorithm explains one of the most widely used algorithms in computer science for finding the shortest path in a graph. The guide covers how Dijkstra’s Algorithm systematically selects the least costly path from a starting point to all other nodes, making it essential for navigation, logistics, networking, and more. Readers are introduced to key concepts like graphs, weights, and priority queues, and then shown how the algorithm works step by step with practical examples.

Practical Math for Frontend Developers

Practical Math for Frontend Developers is a 65-minute intermediate-level course that teaches essential math skills through hands-on coding. Instead of abstract formulas, students immediately apply concepts by building three projects: a shopping cart with tax calculations, a weekly scheduling app using the Date object and array methods, and a monthly expense sheet that ties everything together. With interactive challenges built into the course, learners practice applying math directly in the context of frontend development.

Coding Ninjas Java DSA Course Repository

Coding Ninjas Java DSA Course Repository is a well-organized collection of code implementations, solutions, and exercises from the Coding Ninjas Data Structures and Algorithms in Java course. It includes practical examples and real-world applications, giving learners both theory and hands-on practice. The repository is designed as a go-to resource for anyone looking to strengthen their Java and problem-solving skills while mastering the fundamentals of data structures and algorithms.

Fundamentals of Algorithms

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

Basics of Python with Data Structures and Algorithms

Algorithms by Princeton University

Algorithms, Part I from Princeton University. This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java ...

Data Structures - Geeks for Geeks

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

Master the Coding Interview: Data Structures and Algorithms

Ultimate coding interview bootcamp. Get more job offers, negotiate a raise: Everything you need to get the job you want!

Introduction to Algorithms - MIT OpenCourseWare

MIT OCW 6.006: Introduction to Algorithms (Fall 2011) is a foundational undergraduate course taught by Professors Erik Demaine and Srini Devadas at MIT. The course introduces mathematical modeling of computational problems and core algorithmic paradigms and data structures. It emphasizes both theory and implementation, covering performance analysis and real-world programming considerations.