Understanding data structures and algorithms is still super important for making software. They're like the foundation for writing code that's quick and scales well, which helps you build better apps.

Crystal structure prediction (CSP) has proven to be an effective route for the discovery of new materials. Nonetheless, the ab initio techniques employed for the CSP of metal–organic frameworks (MOFs) ...

Java 24 will introduce quantum-safe cryptography with ML-KEM and ML-DSA, addressing future security risks posed by quantum computing.

Penn State Institute for Computational and Data Sciences co-hire and professor of mathematics in the Eberly College of Science and meteorology John Harlim uses his experience in applied mathematics ...

We cover some of the most popular big data tools for Java developers. Discover the best big data tools and what to look for.

Bioinformatics in the age of data science: algorithms, methods, and tools applied from Omics to structural data In recent years, researchers have been confronted with an overwhelming influx of data, ...

In the early days of computer science, the community settled on a simple standard model of computing and a basic canon of general purpose algorithms and data structures suited to that model. With ...