Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learn how to visualize electric fields of parallel plates using Python. This step-by-step tutorial shows how to simulate field lines and understand electric field patterns—perfect for students, ...

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how ...

WebAssembly runtime introduces experimental async API and support for dynamic linking in WASIX, enabling much broader support ...

Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

The ORCA Python Interface (OPI) is a Python library to create input and parse output of ORCA. It is designed as an open source community effort to make ORCA calculations as accessible as possible and ...

sensAI is a high-level AI toolkit with a specific focus on rapid experimentation for machine learning applications. Through high levels of abstraction and integration, sensAI minimises overhead whilst ...

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...