Code to generate conversations with Code Soliloquies for Reliable Calculations
-
Updated
Dec 1, 2023 - Python
Code to generate conversations with Code Soliloquies for Reliable Calculations
Explore computational physics in Threejs VR
A Jupyter notebook to calculate orbital mechanics using Python.
This is a computational exercise for learning about silver nanoprisms and why their colour is related to their diameter. Runs in Google Colab and uses Python3. Designed for high school students.
Python code for numerically solving Poisson's and Laplace's equation for electric monopoles and dipoles. Visualised in 3D with Matplotlib.
A Jupyter notebook to calculate sequential Nuclear Decay using Python.
A Jupyter notebook to calculate the motion of a chaos (non-linear) pendulum with Python.
A Python-based simulation and visualization of the three-body problem, exploring chaotic gravitational interactions using numerical methods and interactive plots.
This is a Jupyter Notebook to illustrate the difference between the Velocity-Verlet and Euler methods for integrating classical equations of motion for a homonuclear diatomic molecule.
This is an HTML recreation of _One Thousand Problems in Physics_ by Snyder and Palmer (copyright 1900)
Add a description, image, and links to the physics-education topic page so that developers can more easily learn about it.
To associate your repository with the physics-education topic, visit your repo's landing page and select "manage topics."