Participants who do not already have one should first register for an ARM account. When filling out the form, indicate that you are interested in using ARM's notebook examples.
You can sign up for an ARM account using this link.
If you already have an ARM account, email [email protected] that you need to be granted access to the workshop or course materials.
You can either run the notebook using Binder or on your local machine.
The simplest way to interact with a Jupyter Notebook is through the
ARM Jupyter, which enables the execution of a
Jupyter Book on ARM infrastructure. The details of how this works are not
important for now. Navigate your mouse to
the top right corner of the book chapter you are viewing and click
on the rocket ship icon, (see figure below), and be sure to select
“launch Jupyterhub”. After a moment you should be presented with a
notebook that you can interact with. I.e. you’ll be able to execute
and even change the example programs. You’ll see that the code cells
have no output at first, until you execute them by pressing
{kbd}Shift+{kbd}Enter. Complete details on how to interact with
a live Jupyter notebook are described in Getting Started with
Jupyter.
If you are interested in running this material locally on your computer, you will need to follow this workflow:
-
Clone the
https://github.com/ARM-Development/ARM-Notebooksrepository:git clone https://github.com/ARM-Development/ARM-Notebooks
-
Move into the
ARM-Notebooksdirectorycd ARM-Notebooks -
Create and activate your conda environment from the
environment.ymlfileconda env create -f environment.yml conda activate arm-tutorial-dev