Running PyCBC under Docker¶
The easiest way to start using PyCBC is to install one of our Docker containers. First, install the Docker Community Edition for your Mac or Windows desktop. Docker CE installations for Linux platforms are also available.
To start a Docker container with no graphics, type the commands:
docker pull pycbc/pycbc-el8:latest docker run -it pycbc/pycbc-el8:latest
This example downloads current version of the code from the GitHub master branch. Replace the string
latest with one of the PyCBC release tags (e.g.
v1.7.0) to install a container containing a released version of PyCBC. The container includes all of the required software and dependencies to run PyCBC, including a compatible version of LALSuite installed into the root filesystem. The command above starts a login shell as the pycbc user. To override this and log in as root, run the command:
docker run -it pycbc/pycbc-el8:latest /bin/bash -l
Using jupyter notebook within docker¶
One can start a jupyter notebook within docker and then port forward to your computer’s environment.:
docker run -it -p 8888:8888 --name pycbc_test pycbc/pycbc-el8:latest /bin/su -l pycbc -c "jupyter notebook --no-browser --ip 0.0.0.0"
Once the image is running, you can connect from your computer’s web browser to the address printed to the screen by jupyter. This is typically the local host adddress, e.g.