Anything from which data items are stored and retrieved could be considered a data structure. Examples include the data structures derived from the previously mentioned Employee, Vehicle, Array ...

Data structures and algorithms are vital elements in many computing applications. ... For example, if a program is using a data structure such as a list, ...

Example #3: Insertion Sort for singly linked lists Insertion Sort orders a singly linked list of n data items into ascending or descending order. It starts with an initially empty (and therefore ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

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

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 ...

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, ...

Watch the 'Data Science Foundations: Data Structures & Algorithms Pathway' Video (5 min.) Master of Science in Data Science. Offered through an interdisciplinary partnership, data science at CU ...