Dot Physics on MSN

Python physics tutorial: Modeling 1D motion with loops

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...
Dot Physics on MSN

Mastering animated graphs in GlowScript: VPython made easy

Learn how to create dynamic, animated graphs in GlowScript using VPython with ease! 📊 This step-by-step tutorial guides you through visualizing data, animating simulations, and mastering interactive ...
Hacker

A Quick Introduction to Python Numpy for Beginners

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...
GitHub

A tutorial for pathway visualization using tidyverse, igraph, and ggraph.

The rest of the loaded packages are for data visualization only (some nice colors in graphs). To plot a pathway, we can model the pathway as a network, or a "graph" in graph theory. In mathematics, a ...
IEEE

Prediction of Types in Python with Pre-trained Graph Neural Networks

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 ...
Frontiers

Higher integration of the whole-brain resting state theta band network is associated with spatial working memory

The aim of the present study was to investigate the association between resting-state EEG functional connectivity and spatial working memory (SWM) in adolescents, using a graph-theoretical approach.
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

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