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

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

Not long ago, a would-be terrorist would have needed weeks of surveillance, technical expertise, expensive software, and help from trained specialists to understand a critical infrastructure target’s ...

The Groq Python library provides convenient access to the Groq REST API from any Python 3.10+ application. The library includes type definitions for all request params and response fields, and offers ...

Abstract: In this article, a deep-learning (DL) algorithm is proposed to efficiently predict the pattern of the antenna array. By establishing the Bayesian-optimized convolutional neural network (CNN) ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

Abstract: Many robotics applications benefit from being able to compute multiple geodesic paths in a given configuration space. Existing paradigm is to use topological path planning, which can compute ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...