Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists ...

Effective use of data structures allows for rapid data access and modification, while well-designed algorithms ensure computational efficiency and scalability.

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

Want to learn more? Click the button below to watch the Data Science Foundations: Data Structures & Algorithms pathway instructor give an overview of the topics covered in this pathway. Watch the ...

Learn how to search and sort linked lists in Java! Find out which algorithms are most used to sort linked lists and how each one stacks up for performance ...

Sandeep Jain Most students of computer science tend to devalue the importance of studying data structures and algorithms (DSA) as they think of it as being highly complexed, irrelevant and time ...