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, ...

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 of ...

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 is often ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...

JavaScript remains a core skill for developers, especially in technical assessments like those on CodeSignal. From mastering algorithms and data structures to leveraging browser APIs, targeted ...

Why it matters: JavaScript lets AP CSP students design interactive projects that clearly meet rubric criteria and engage users. Where to start: Code.org’s App Lab offers AP CSP-aligned tools, while ...

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 ...