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

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

Abstract: Large language models (LLMs) like GPT-4o are increasingly being incorporated into computer science classrooms in tasks such as helping students resolve ...

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 ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

When writing Python programs, errors are inevitable. Whether you’re reading a file, parsing user input, or making network requests, things can (and will) go wrong at runtime. If not handled properly, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

A Florida man with near-unmatched gumption for slaying snakes was awarded $1,000 through a new state incentive system for capturing a staggering 87 invasive pythons in just one month. Aaron Mann ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...