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

A terminal-based Python program that calculates annual CO₂ emissions from daily driving and monthly electricity use. Built with functions, constants, and clean console I/O to demonstrate beginner ...

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 ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

Python lists are dynamic and versatile, but knowing the right way to remove elements is key to writing efficient and bug-free code. Whether you want to drop elements by condition, index, or value—or ...

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 ...

Large language models (LLMs) have been extensively researched for programming-related tasks, including program summarisation, over recent years. However, the task of abstracting formal specifications ...

You have already written a “Hello, World!” program. As you can see, this isn’t very flexible—you provided the exact text you wanted to print. However, more often than not, we don’t know the values we ...

In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...