Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

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 ...

Abstract: The application of Graph Neural Networks for pre-training models for source code is not well studied. We experimented with pre-training a Graph Neural Network model for Python on tasks of ...

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 ...