It covers basic to advanced usage, packaging, developer features, and large HPC
deployments. You can do all of the exercises on your own laptop using a
Docker container.
See also:
*[Technical paper](http://www.computer.org/csdl/proceedings/sc/2015/3723/00/2807623.pdf) and
[slides](https://tgamblin.github.io/files/Gamblin-Spack-SC15-Talk.pdf) on Spack's design and implementation.
*[Short presentation](https://tgamblin.github.io/files/Gamblin-Spack-Lightning-Talk-BOF-SC15.pdf) from the *Getting Scientific Software Installed* BOF session at Supercomputing 2015.
Feel free to use these materials to teach users at your organization
about Spack.
Get Involved!
Community
------------------------
Spack is an open source project. Questions, discussion, and
contributions are welcome. Contributions can be anything from new
packages to bugfixes, or even new core features.
### Mailing list
If you are interested in contributing to spack, join the mailing list.
We're using Google Groups for this:
*[Spack Google Group](https://groups.google.com/d/forum/spack)
### Slack channel
Spack has a Slack channel where you can chat about all things Spack:
packages to bugfixes, documentation, or even new core features.
*[Spack on Slack](https://spackpm.slack.com)
**Resources:**
[Sign up here](https://spackpm.herokuapp.com) to get an invitation mailed
to you.
### Twitter
You can follow [@spackpm](https://twitter.com/spackpm) on Twitter for
updates. Also, feel free to `@mention` us in in questions or comments