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Tutorial materials related to data acquisition, management, and analysis

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# Bluesky Tutorials

This is a collection of tutorials on data acquisition and analysis using Bluesky
and scientific Python generally. There are a couple ways to use it.

* Try it in the interactive sandbox in the cloud at
  https://mybinder.org/v2/gh/bluesky/tutorials/main (**recommended**).
* Browse the content non-interactively at https://blueskyproject.io/tutorials.
* Use Docker, running `docker run -p 8888:8888 nsls2/tutorials:latest`.
* Download this content and run it on your local machine. This is not
  recommended for novices. See {doc}`INSTALLATION`.

## Survey
Took our tutorial? Let us know how you thought of it so we can better improve
it!
[Survey](https://goo.gl/forms/WAWhkAIvEGVzIUdf2)

## References

* [Bluesky Software Documentation Landing Page](https://blueskyproject.io)
* [Bluesky Documentation](https://blueskyproject.io/bluesky)
* [Ophyd Documentation](https://blueskyproject.io/ophyd)
* [Databroker Documentation](https://blueskyproject.io/databroker)
* [Our Gitter Chat Channel](https://gitter.im/NSLS-II/DAMA) (come here for questions)
* [Python Help](https://www.oreilly.com/programming/free/files/python-for-scientists.pdf) : A collection of Python tutorials geared towards scientific data analysis.

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