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

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

The course material is organised into two interactive Notebooks, where the participants can actively follow the instructors' examples, as well as explore the provided source code. In this repository, ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

This is a lightweight text editor built using Tkinter, a Python GUI toolkit. The text editor provides essential features such as creating new text documents, opening existing files, and saving content ...

Learning Python is a smart move these days. It’s used everywhere, from making websites to crunching numbers. The good news? You don’t need to spend a fortune to get started. There are tons of great, ...

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 ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...