Explore Python Physics Lesson 8 and discover how energy shapes orbits with clear, step-by-step graphs and simulations. This lesson explains the relationship between kinetic and potential energy in ...

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

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

This project allows to sync tasks between Google Task and Microsoft To Do. It's aimed to be ran as a background server. To run the app, you only have to run the main.py file with python At the first ...

Pygplib (Python First-Order Graph Property Library) is a Python module for constructing, manipulating, and encoding graph properties expressible with first-order logic of graphs. It serves as a ...