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 ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

Please note that these are just the code examples accompanying the book, which we uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive ...

The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.9+ application. The library includes type definitions for all request params and response fields, and ...

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 ...

This will expose the command pylsp on your PATH. Confirm that installation succeeded by running pylsp --help. If the respective dependencies are found, the following ...

Have you ever had any problems installing multiple versions of Python on your machine? Did you need multiple Python patch releases on your machine for some reason at ...

This repository contains my solutions to the problem sets for CS50's Introduction to Programming with Python course. Each problem set is a collection of programming assignments that cover various ...

For this introduction I am going to define key terms so we can do into more depth about the applications and uses of data structures and algorithms. These will be the key terms defined in this section ...