jupyter-notebook-practice-physical-constants-ratios

exp(2^n/4) determines the topological Axis linking micro and macro physics ratios in a Jupyter Notebook entitled Jupyter-Notebook Practice Physical Constants Ratios. It uses the reduced Compton Electron wavelength as unit of length.

https://github.com/laguer/jupyter-notebook-practice-physical-constants-ratios

Keywords

bizouard compton-electron-wavelength constant cosmology eddington francis-sanchez jupyter-notebooks kotov macro maruani michel-grosmann micro nambu physics radius ratios topological universe veysseyre weigel

Last synced: 6 months ago · JSON representation ·

Repository

exp(2^n/4) determines the topological Axis linking micro and macro physics ratios in a Jupyter Notebook entitled Jupyter-Notebook Practice Physical Constants Ratios. It uses the reduced Compton Electron wavelength as unit of length.

Basic Info

Host: GitHub
Owner: LaGuer
License: mit
Language: Jupyter Notebook
Default Branch: master
Homepage: https://mybinder.org/v2/gh/LaGuer/Jupyter-Notebook-Practice-Physical-Constants-Ratios/master?urlpath=lab/tree/doc/Jupyter-Notebook%20Practice%20Physical%20Constants%20Ratios.ipynb
Size: 8.1 MB

Statistics

Stars: 0
Watchers: 0
Forks: 2
Open Issues: 0
Releases: 2

Topics

bizouard compton-electron-wavelength constant cosmology eddington francis-sanchez jupyter-notebooks kotov macro maruani michel-grosmann micro nambu physics radius ratios topological universe veysseyre weigel

Created about 7 years ago · Last pushed 11 months ago

Metadata Files

Readme Contributing License Citation

README.md

Code of the Jupyter-Notebook-Practice-Physical-Constants-Ratios (2018)

This repository contains the Jupyter notebooks of the intriguing physical constants ratios that are at play in micro-physics and cosmology cite http://vixra.org/pdf/1811.0146v8.pdf if you use this Jupyter-Notebook-Practice-Physical-Constants-Ratios(2018) notebook co-authored by Dr. Christian Bizouard, Nicolas Flawisky, Prof. Michel Grosmann, Valery Kotov, Prof. Francis Sanchez, Pr. Renee Veysseyres, Dr. Dominique Weigel, L.Gueroult & D.Gayral.

This repository is read-only: the source files are on the Jupyter-Notebook-Practice-Physical-Constants-Ratios repository.

Running the code in the cloud

With Binder, you can run most of the Jupyter notebooks directly from your web browser without installing anything. Just click on the launch binder button above. A temporary Jupyter Notebook server with all dependencies will be automatically launched in the cloud. Be patient during the setup as it might take a while to load up. The image is not persistent: all your changes will be lost after some time.

Running the code on your computer

Install git.
Download and install Anaconda: choose the Python 3.6, 64-bit version for your operating system (macOS, Linux, or Windows).
Open a terminal (cmd on Windows).
Clone the repository:

bash $ git clone https://github.com/LaGuer/Jupyter-Notebook-Practice-Physical-Constants-Ratio.git $ cd Jupyter-Notebook-Practice-Physical-Constants-Ratio

Create the physicalconstantsratios conda environment:

bash conda env create -f environment.yml

Activate the environment:

* On macOS and Linux:

```bash
source activate physicalconstantsratios
```

* On Windows:

```bash
activate physicalconstantsratios
```

Launch the Jupyter Notebook:

bash $ jupyter-notebook