Description 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 ...

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, ...

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 ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

I have a 2D graph that I'm trying to lay out cleanly. Does anyone know of an algorithm that, given the x, y position of every node and the graph's edges will tell me how many edges cross. Right now I ...

Graphs -- data structures that show the relationship among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections.

The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, knowledge representation and reasoning, neuro-linguistic ...