I followed a Bob Ross Painting tutorial but instead of using paintbrushes, I used a bunch of random objects like a Snickers bar, a bag of Cheetos, and a toy car. Needless to say it didn't go fantastic ...

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

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 ...

I completed this a long while ago and have since moved on to further topics in API integration and data structures. I hope this might be useful for you. This is just a cherished memory, not an ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

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 ...

An Introduction to Programming and Computer Science with Python, second edition is a free, open source textbook available under a CC BY-NC-SA license. Originally developed for UVM’s CS 1210 ...