This tutorial series is a beginner’s guide to data structures and algorithms in Java. You’ll learn: How to recognize and use array and list data structures in your Java programs.

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, ...

All of the data structures we’ll look at in this series are aggregates. Containers. Anything from which data items are stored and retrieved could be considered a data structure.

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

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.

Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that the student has already taken an ...

Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...

Basic toolkit for the design and analysis of algorithms: Running time, Recurrence relations, Big-O notation, Correctness, Finite induction, Loop invariants. Tour of the most important data structures, ...

Developing algorithmic thinking. Basic toolkit for the design and analysis of algorithms: Running time, recurrence relations, big-O notation, amortised analysis, correctness, finite induction, loop ...