These are my go-to libraries for Python data crunching.

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

As GenAI reshapes the way students and professionals work with code, it changes the competencies educators should assess. Here’s what they could look like ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

backon is a modern evolution of backoff — a zero-dependency Python library for retry with exponential backoff. It provides decorator, functional, and context manager APIs for both sync and async code.

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

End-to-end Python framework for robust pension fund management under parameter uncertainty. Implements three Distributionally Robust (DRO) Asset-Liability Management (ALM) formulations (Mixture, Box, ...

Abstract: This letter investigates the time-optimal trajectory generation for a six-degrees-of-freedom articulated robot moving along a given parametric path. In the generation procedure, besides the ...