SciServer Betelgeuse v2.0.2 introduces an important new help feature. Although SciServer’s API libraries allow for extremely powerful and flexible programmatic access to SciServer tools, it can be difficult to learn the appropriate syntax. To make it easier to learn how to get the most out of SciServer, we have added Example Notebooks showing the correct syntax.
Currently these examples are available in Python; we are planning versions in R and Matlab as well. You can access the example notebooks by mounting a new Getting Started data volume onto a new SciServer Compute container. To do that, create a new container and check the box next to Getting Started.
You should begin by copying the example notebooks out of Getting Started into a new folder inside your persistent folder. You can do this by running the Copy notebook.
Change Log
- Added Example Notebooks New: To help new users learn how to use SciServer Compute, we have added a series of example notebooks written in Python. You can find these by checking the box next to the new "Getting Started" data volume when you create a new container. This will mount the volume and allow you to access the example notebooks.
You should begin by copying the example notebooks out of Getting Started into a new folder inside your persistent folder. You can do this by running the Copy notebook. - New options for notebooks in Compute New: Released nb_sciserver extensions
- Back-end changes to Compute functionality Update: K8s Cluster P2: Deploy Kubernetes Prototype to SDSS2c/2d
Rebuild docker registry on dockervm05