ttn-solid2d-ipynb

Try

Notice that it will take a few moments for Binder to install the Python
environment. Also the application itself will be far less responsive then it
would be if ran on a local computer. The delays are mainly caused by the
network communications between the TTN prediction server (Google Cloud Run),
the Python kernel (Binder), and the user's PC. Feel free to enable the verbose
mode setting verbose=True to see how much time the application spends in the
different stages. The prediction itself usually takes only a few milliseconds
while request and rendering both take significantly longer (around two orders
of magnitude).

Build

conda create -n ttn-solid2d-ipynb python=3.6
conda activate ttn-solid2d-ipynb
conda install -c conda-forge jupyterlab
conda install -c conda-forge nodejs
conda install -c conda-forge matplotlib
conda install -c conda-forge ipywidgets
jupyter labextension install @jupyter-widgets/jupyterlab-manager

Run

conda activate ttn-solid2d-ipynb
jupyter lab