Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...
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 simple graphical application for cropping images into circular shapes using Python. This tool allows users to load an image, draw a circle over it, and save the cropped image in the desired circular ...
Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...