The researchers turned to hydrogels, which are water-rich, jelly-like polymers that respond to temperature and chemicals. But instead of layering different materials or embedding electronics, they ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your ...

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...

Abstract: Design patterns provide reusable solutions to recurring software design problems. Since their introduction by the Gang of Four in 1994, identifying these patterns in object-oriented programs ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

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 ...

Your blueprint for better Python architecture. pattern_kit is a developer-friendly Python library offering clean, idiomatic implementations of common software design patterns. It focuses on real-world ...

Quick user guide for python software to interact with the CMIP7 data request. Using the CMIP7 Data Request API you can load, filter, query, and export the Data Request programmatically in Python. This ...

Explaining software-defined vehicles (SDVs) as “smartphones on wheels” was convenient as it made the concept accessible, unlocked investment, and helped the industry rally around a familiar narrative.

On the future of funding the Python Software Foundation Deb Nicholson, executive director of the Python Software Foundation, talks about what it will take to keep the PSF funded in the years to come, ...