The SciServer 2016 Spring Workshop will feature SciServer Compute, which uses Jupyter Notebooks to integrate SciServer Tools in a Docker Container.

You will learn to:

  • Set up a SciServer Notebook
  • Authenticate with the SciServer Login Portal
  • Import and query SDSS with CasJobs
  • Save your data and graphics locally
  • Save your data and graphics on SciDrive
  • Save & Retrieve your data in MyDB

The workshop will focus on demonstrations and examples familiar to astronomers and cosmologists. Participants are expected to be familiar with Python. Pre-registration is open to members of the greater Johns Hopkins Community, and the Space Telescope Institute. Other interested parties should email SciServer to check on space and availability.

Pre-registration starts April 4, 2016. Please Pre-Register, as space is limited. Continental breakfast and lunch will be provided for attendees who have pre-registered.

Example Notebooks

We have developed a number of Example Notebooks that illustrate the capabilities of SciServer Compute, which implements Jupyter Notebooks in persistent Docker Containers. During the workshop we will lead you through a full-featured example Notebook, then provide you with additional example Notebooks with which you can fully explore features that interest you.

Astronomy Examples (SDSS data)

  • SDSS Thumbnails
  • Stripe 82
  • Plot Neighbors Photoz

Cosmology Jupyter Notebook Examples

  • Hernquist Profiles
  • Millenium Trees

Featuring SciServer Tools

  • Login Portal
  • CasJobs
  • SciDrive
  • MyDB

…and Standard Jupyter Notebook Capabilities

  • Import standard libraries, such as astropy, matplotlib, numpy, pandas, pylab, scipy
  • Import scripts & libraries
  • Export your notebook as raw Python