Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...

New KAPPA data services allow rapid development of custom data functions by automating infrastructure and execution across large unstructured data sets ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

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 ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

record.py - example of recording realtime data from selected channels. example_control_loop.py - example for controlling robot motion. Program moves robot between 2 setpoints. Copy ...

Anthropic's AI, Claude Code, now generates nearly all internal code, prompting questions about its 100+ open engineering roles. Executives clarify human engineers are crucial for prompting, customer ...

According to Moderne, this extends OpenRewrite coverage from backend and frontend application code into the data and AI layer ...

Technology partnership equips engineering and legal teams with new capabilities to manage IP risks from AI coding ...

Abstract: Static type inference is an effective way to maintain the safety of programs written in a dynamically typed language. However, foreign functions implemented in another programming language ...

Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...