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.

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

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 ...

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 ...

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 ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

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 ...

Django is a powerful Python web framework that simplifies web development by providing a clean and pragmatic design. One of the most common tasks in web development is creating CRUD (Create, Read, ...

GyanAangan is a Django-based educational platform designed to share notes, YouTube videos, and previous year questions (PYQs). It features resource management, SEO optimization, and is deployed using ...