Jupyter notebooks excel at interactive, exploratory scientific programming
for researchers and their students. With their mixture of prose, equations,
diagrams and interactive code examples, Jupyter notebooks are particularly
effective in educational settings and for expository objectives. Their use
is prevalent in many scientific disciplines including atmospheric science.
JupyterHub enables specialists to deploy pre-configured Jupyter notebook
servers typically in cloud computing environments. With JupyterHub, users
login to arrive at their own notebook workspace where they can experiment
and explore preloaded scientific notebooks or create new notebooks. The
advantages of deploying a JupyterHub as part of a science gateway are
numerous. A JupyterHub server compliments and enhances other science
gateway offerings such as collections of data which may be large or
unwieldy in size. Users can develop and run their analysis and
visualization codes proximate to these data holdings which may be difficult
and expensive to download. Moreover, JupyterHub prevents users from having
to download and install complex software environments that can be onerous
to configure properly. They can be pre-populated with notebook projects and
the environments required to run them. These notebooks can be used for
teaching or as templates for research and experimentation. In addition, a
JupyterHub can be provisioned with computational resources not found in a
desktop computing setting and leverage high speed networks for processing
large datasets. JupyterHub servers can be accessed from any web
browser-enabled device like laptops and tablets. In sum, they improve "time
to science" by removing the complexity and tedium required to access and
run a scientific programming environment. This poster will detail how we
incorporate an Atmospheric Science JupyterHub as a key component of the
Unidata Science Gateway.
