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a reveal.js slide presentation about bluesky/ophyd/databroker

Home Page: https://blueskyproject.io/bluesky-slides/

License: MIT License

JavaScript 52.37% CSS 19.47% HTML 19.03% SCSS 9.14%
hacktoberfest hacktoberfest2021

bluesky-slides's Introduction

CI Coverage PyPI License

Bluesky — An Experiment Specification & Orchestration Engine

Source https://github.com/bluesky/bluesky
PyPI pip install bluesky
Documentation https://bluesky.github.io/bluesky
Releases https://github.com/bluesky/bluesky/releases

Bluesky is a library for experiment control and collection of scientific data and metadata. It emphasizes the following virtues:

  • Live, Streaming Data: Available for inline visualization and processing.
  • Rich Metadata: Captured and organized to facilitate reproducibility and searchability.
  • Experiment Generality: Seamlessly reuse a procedure on completely different hardware.
  • Interruption Recovery: Experiments are "rewindable," recovering cleanly from interruptions.
  • Automated Suspend/Resume: Experiments can be run unattended, automatically suspending and resuming if needed.
  • Pluggable I/O: Export data (live) into any desired format or database.
  • Customizability: Integrate custom experimental procedures and commands, and get the I/O and interruption features for free.
  • Integration with Scientific Python: Interface naturally with numpy and Python scientific stack.

Bluesky Documentation.

The Bluesky Project enables experimental science at the lab-bench or facility scale. It is a collection of Python libraries that are co-developed but independently useful and may be adopted a la carte.

Bluesky Project Documentation.

See https://bluesky.github.io/bluesky for more detailed documentation.

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bluesky-slides's Issues

Add a column on “Ophyd verbs”

A high-level rundown of the “Blursky interface” and other ophyd methods and their intent.

This is what we covered at the Chicago EPICS meeting. Unfortunately there is no record of it whatsoever.

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