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

Learn how to compute and visualize electric field vectors using Python. This tutorial walks you through coding the physics behind electric fields and creating clear, interactive visualizations to make ...

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 ...

An introduction to the Northern Ireland High-performance Computing (NI-HPC) cluster and practical skills that can immediately benefit your research.

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

Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

AI A professor lost two years of 'carefully structured academic work' in ChatGPT because of a single setting change: 'These tools were not developed with academic standards of reliability in mind' ...

The Python Software Foundation (PSF) has withdrawn its $1.5 million grant proposal to the U.S. National Science Foundation (NSF) due to funding terms forcing a ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...