Application platform update brings enhancements for AI agent development, cryptography, runtime performance, and the C# and F# programming languages.

Software developers will still drive the core constructs of any given codebase, they will determine the algorithmic logic ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

The timing of the Octoverse 2025 report release during the conference proved strategic, as it provided attendees with ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Former GitLab executive will accelerate Anaconda's commitment to help organizations advance AI innovation at enterprise scale with trusted, open source software and infrastructure ...

This project provides parsing, validation, and analysis tools that save agent tokens by handling deterministic operations agents struggle with or waste excessive tokens on. It complements ...