The rise of AI-driven development, the proliferation of microservices, and the adoption of serverless architectures have ...

All algorithms deal with data and most often the design of an algorithm starts by defining a data structure that will enable faster problem solving by minimizing computation and data movement.

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, ...

Examines several design issues, including selection of data structures based on operations to be optimized, algorithm encapsulation using classes and templates, and how and when to use recursion.

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.

Brief Description of Course Content Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm ...

DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science. The AI lab is offering its database of over 200 million proteins to anyone for free.

Historical content within data structures increases their complexity. Making complexity 'easy' for the initial developers and 'harder' for the later users is a short-sighted approach.