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 ...

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

We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the ...

OpenAI has finally added Code Interpreter to ChatGPT, the most anticipated feature that opens the door for so many possibilities. After ChatGPT Plugins, people have been waiting for Code Interpreter, ...

UPDATE March 8, 2021: This repository is no longer under development. Together with Mike Kestemont and Allen Riddell, I have published a much more comprehensive book ...

The guide provides a tutorial on building an advanced artificial intelligence (AI) agent using Python and Retrieval Augmented Generation (RAG). The AI agent is capable of utilizing various tools and ...

We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both ...

To use Claude you must apply for early access! Today I'll be using the Anthropic Python SDK to make it easier for us to work with the models. You can also use the API ...

I faced a problem when I started learning programming. That problem was: I thought I needed to have a deep understanding of every field to do projects and make cool stuff. So, I started learning to ...