Jupyter lab

We use Jupyter notebooks for all our examples and recommend using Jupyter notebooks for interactive simulations where the computation time is tolerable. For details please refer to https://jupyter.org. Here, we provide a minimal introduction to starting and using a Jupyter notebook. We will use the newer interface, called “Jupyter lab”. We assume that you have locally installed Ubermag or any of its subpackages as explained in Installation. Jupyter lab is automatically installed as a dependency of discretisedfield.

To start Jupyter lab, open the Anaconda prompt (Windows) or a terminal (MacOS and Linux) and run the following commands (if you use pip+venv instead of conda activate the environment as explained in the installation instructions):

$ conda activate ubermag_env  # replace with your environment name
$ jupyter lab

This will automatically open a new browser window and start Jupyter lab in it. Jupyter lab gives you full access to your files in the directory (and all subdirectories) from where you start it.

Once you have started Jupyter lab, you will see a browser tab similar to this one (note that the UI might change over time).

Click on “Notebook: Python 3” to start a new Python notebook. You can import the ubermag meta-package and check the installed version as shown in the following screenshot.

Please refer to the Jupyter documentation or other tutorials available online to learn more about the Jupyter lab and Jupyter notebooks.