In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it.

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Python package for automatically generating and deploying nuclio serverless functions from code, archives or Jupyter notebooks. Providing a powerful mechanism for automating code and function ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

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