Plotly Cloud adds team collaboration for publishing and sharing Dash apps, with enterprise security, centralized access ...

Explore the fascinating interaction between magnetism and electricity in Python Physics #34! In this video, we visualize how magnetic fields affect a current-carrying loop using Python simulations.

CADEXSOFT announces new features and improvements in Manufacturing Toolkit 2026.1. In this new release, core MTK binaries have been renamed from CadExMTK to MTKCore. This change aligns binary naming ...

Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Triton provides a visual platform that shows projections of electricity demand across the network by mapping expected growth at grid supply points and transmission ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Experts believe the snakes may be dispersing from the Everglades as their population grows, using connected waterways as highways. While not considered an overwhelming threat to humans, pythons can ...

Since his return to office, President Trump and his family have engaged in a moneymaking campaign like none in modern American history. A headshot of President Trump sits in the center of a network ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

Abstract: A data-driven framework for optimizing the network performance of Unmanned Aerial Vehicles (UAVs) was developed using a combination of synthetic data generation, Python preprocessing, and ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...