Combine every (mainly numerical) solver possible into one jupyter lab

1. Install Docker
2. Clone rep
3. Open rep folder in terminal
4. Type "docker build -t scientific-notebook -f Dockerfile ."
5. Type "docker run -it --rm -p 8888:8888 scientific-notebook"
6. Open localhost:8888 in your local browser (or open the link showing in your console "http://127.0.0.1:8888/lab?token=your-pass-key" by clicking while holding ctrl)

Simple, reactive programming environment for Julia

including Numpy, Scipy, Pyvista etc.

Using Fresh with deno:

1. add "-p 8000:8000" to the docker run command
2. open terminal in jupyterlab
3. run "deno run -A -r https://fresh.deno.dev"
4. run "cd fresh-project"
5. run "deno task start"
6. open localhost:8000 to view fresh app

MyST extends Markdown for technical, scientific communication and publication.

Interactive Jupyter labs.

Fast Datagrid widget for the Jupyter Notebook and JupyterLab

Low-Code Python Data Apps

Jupyter Interactive Widgets library for 3-D mesh analysis

Interactive graph visualization.

Download as archive.