Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...

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 ...

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 ...

Django and FastAPI are, without a doubt, two of the most well-known and widely used frameworks by Python developers. And for good reason. They have a great and active community of developers which is ...

This sample contains the completed program from the tutorial Using Django in Visual Studio Code. Intermediate steps are not included. For steps on running this app in a Docker container, see Python in ...

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 ...

Overview The "wheel" format in Python lets you bundle up and redistribute a Python package you've created. Others can then use the "pip" tool to install your program from your wheel file, which can ...