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.

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Name		Name	Last commit message	Last commit date
Latest commit History 773 Commits
.github/workflows		.github/workflows
.ipython/profile_default		.ipython/profile_default
.jupyter		.jupyter
.matplotlibrc		.matplotlibrc
Adaptive RL Sampling		Adaptive RL Sampling
Ophyd		Ophyd
X-ray Absorption Fine Structure		X-ray Absorption Fine Structure
archive		archive
binder		binder
bluesky-tutorial-utils		bluesky-tutorial-utils
gm_user		gm_user
scripts		scripts
solutions		solutions
static		static
supervisor		supervisor
.gitattributes		.gitattributes
.gitignore		.gitignore
.gitmodules		.gitmodules
.keep_alive.sh		.keep_alive.sh
.pre-commit-config.yaml		.pre-commit-config.yaml
Access Saved Data Via the Web.ipynb		Access Saved Data Via the Web.ipynb
Access Saved Data.ipynb		Access Saved Data.ipynb
Arrays.ipynb		Arrays.ipynb
Awkward.ipynb		Awkward.ipynb
CONTRIBUTING.md		CONTRIBUTING.md
Fitting.ipynb		Fitting.ipynb
Good Afternoon Bluesky.ipynb		Good Afternoon Bluesky.ipynb
Good Morning Bluesky.ipynb		Good Morning Bluesky.ipynb
Good Night Bluesky.ipynb		Good Night Bluesky.ipynb
Hello Bluesky.ipynb		Hello Bluesky.ipynb
Hello Python and Jupyter.ipynb		Hello Python and Jupyter.ipynb
INSTALLATION.md		INSTALLATION.md
LICENSE		LICENSE
README.md		README.md
STATUS.md		STATUS.md
Single PVs.ipynb		Single PVs.ipynb
Tabular Data.ipynb		Tabular Data.ipynb
Welcome.md		Welcome.md
Xarray.ipynb		Xarray.ipynb
_config.yml		_config.yml
_toc.yml		_toc.yml
launch.sh		launch.sh