This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.

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

Arrays are among the most common data structures. An array can store a series of data values in a linear structure, with each element accessed using its index position within the data.

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

Specialization: Data Science Foundations: Data Structures and AlgorithmsInstructor: Sriram Sankaranarayanan, Assistant ProfessorPrior knowledge needed: Mathematical Background: We expect that the ...

How do I strengthen my knowledge of data structures and algorithms? This question was originally answered on Quora by Robert Love.

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.