Here at Unidata, we want to provide as many resources as possible to make our tools and applications easy to use. For AWIPS we currently have a new [eLearning course](#cave-elearning-course) that is specific to CAVE. We also have a suite of [Jupyter Notebooks](#python-awips-example-notebooks) that are meant to provide a detailed overview of many capabilities of python-awips.
Please <ahref="https://forms.gle/Ea84m4JvboSm6iQx5"target="_blank"rel="noopener noreferrer">fill out this registration form</a> to receive access to *Learn AWIPS CAVE*.
*Learn AWIPS CAVE* is specifically tailored to content regarding CAVE -- the local graphical application used to view weather data. The following topics and capabilities are covered throughout the course:
*Learn AWIPS CAVE* is organized in a modular layout, with multiple different sections and subsections. The design allows for completing the course all at once, or in segments. Throughout the course there are quizzes and interactive assessments to help gauge learning and understanding. Below is a snapshot taken from the course.
In addition to CAVE, AWIPS also has a Python package called ***python-awips*** which allows access to all data on an EDEX server. We have created a suite of Jupyter Notebooks as examples for how to use various functions of python-awips.
### Access
All of our Notebooks can be downloaded and accessed locally by following the <ahref="http://unidata.github.io/python-awips/#source-code-with-examples-install"target="_blank"rel="noopener noreferrer"> source code installation instructions</a> found on our [python-awips website](http://unidata.github.io/python-awips/).
Additionally, non-interactive [webpage renderings](http://unidata.github.io/python-awips/examples/index.html) of each of the Notebooks are also available for quick and easy references.