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.
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## CAVE eLearning Course
***Learn AWIPS CAVE*** is our online educational course for those interested in learning about CAVE.
Please create an account on <ahref="https://elearning.unidata.ucar.edu/"target="_blank"rel="noopener noreferrer">Unidata eLearning</a>, then self-enroll in <ahref="https://elearning.unidata.ucar.edu/course/view.php?id=2"target="_blank"rel="noopener noreferrer">Learn AWIPS CAVE</a>.
### Content
*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:
- Launching CAVE
- Navigating the interface
- Modifying product appearances
- Understanding the time match basis
- Creating publication-quality graphics
- Exploring various CAVE layouts
- Saving and loading procedures and displays
- Using radar displays
- Using baselines and points
- Creating time series displays
- Creating vertical cross section displays
- Using the NSHARP editor for soundings
- Viewing model soundings
### Prerequisites
Required:
- [A supported web browser](https://articulate.com/support/article/System-Requirements-for-Rise#viewing-content)
- CAVE version 18.2.1 installed on a [supported operating system](http://unidata.github.io/awips2/install/install-cave/)
Recommended:
- A keyboard with a numpad and mouse with a scrollwheel
- Second monitor
### Design
*Learn AWIPS CAVE* is designed for those new to AWIPS or for those seeking to learn best practices. The course is organized into modular sections with supporting lessons, allowing for spaced learning or completion in multiple class or lab sessions. Each section concludes with a quiz to assess learning, and results can be requested by instructors or supervisors for their classes/teams. Below is a snapshot taken from the course.
- Lessons are tied to relevant [learning objectives](https://elearning.unidata.ucar.edu/AWIPS/LearnAWIPSCAVE/LearnAWIPSCAVELearningObjectives.pdf).
- Lessons are scaffolded such that each skill builds upon the next.
- Tutorials, challenges, and assessments are designed to support higher-order thinking skills and learning retention.
### Support
If you experience any technical issues with our online course, please contact us at: **support-elearning@unidata.ucar.edu**
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## Python-AWIPS eLearning Course
***Learn Python-AWIPS*** is our online educational course for those interested in learning about [Python-AWIPS](http://unidata.github.io/python-awips/).
Please create an account on <ahref="https://elearning.unidata.ucar.edu/"target="_blank"rel="noopener noreferrer">Unidata eLearning</a>, then self-enroll in <ahref="https://elearning.unidata.ucar.edu/course/view.php?id=4"target="_blank"rel="noopener noreferrer">Learn Python-AWIPS</a>.
### Content
*Learn Python-AWIPS* is designed for new users of Python-AWIPS who have some background in both Python and CAVE. Through tutorials, challenges, and demonstrations, you will learn the basics for working with EDEX resources through Python.
The following topics and capabilities are covered throughout the course:
- Programmatically explore the resources available on an EDEX server
- Make a request to an EDEX for data
- See examples of data manipulation
- Plot requested data
### Prerequisites
Required:
- [A supported web browser](https://articulate.com/support/article/System-Requirements-for-Rise#viewing-content)
- Python3
- Conda
- Git
- Python-AWIPS using the [Source Code with Examples Install instructions](http://unidata.github.io/python-awips/#source-code-with-examples-install)
### Support
If you experience any technical issues with our online course, please contact us at: **support-elearning@unidata.ucar.edu**
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## Python-AWIPS Example Notebooks
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.
Unidata has a YouTube channel where we publish videos about all of our software pacakges. Specifically we also have a playlist dedicated to AWIPS videos.
### Access
All [Unidata vidoes can be accessed here](https://www.youtube.com/c/unidatanews) on our channel.
All AWIPS vidoes can be found on the [AWIPS Playlist](https://www.youtube.com/watch?v=4ax6SRyaYTc&list=PLQut5OXpV-0gk9CcjfInV9hNIEAld-Tpp).
### Content
Our AWIPS videos cover a wide range of topics, but include some of the following themes:
AWIPS Tips is a bi-weekly (every two weeks) blog series that is posted on our Unidata blogs page. Entries in the series cover topics relating to CAVE, python-awips, EDEX, and more.
### Access
<ahref="https://www.unidata.ucar.edu/blogs/news/tags/awipstips"target="_blank"rel="noopener noreferrer">View all of the AWIPS Tips blogs here</a>, and easily search for them using the *awips-tips* tag.
Please join our [mailing list (awips2-users)](https://www.unidata.ucar.edu/support/#mailinglists) to get the notifications of new AWIPS Tips when they come out!
### Content
A full list of all released blogs can be found below:
#### General
- [Welcome to AWIPS Tips!](https://www.unidata.ucar.edu/blogs/news/entry/welcome-to-awips-tips)
