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- warn on bright, strobing, images & turn off autoplay if possible
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- for images made by the social media team:
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- make graphic perceivable to people who cannot perceive color well, due to color-blindness or low vision
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- do not make bright, strobing images
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- more guidelines at https://webaim.org/techniques/images/
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Visual media in communications should be made as accessible as possible:
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* Add alt text to images and videos when the platform allows:
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* `alt text for data viz <https://medium.com/nightingale/writing-alt-text-for-data-visualization-2a218ef43f81>`_
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* `general alt text guide <https://webaim.org/techniques/alttext/>`_
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Social media account information
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================================
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* Warn on bright, strobing, images & turn off autoplay if possible.
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* For images and videos made by the social media team:
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* Make graphic perceivable to people who cannot perceive color well due to
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color-blindness, low vision, or any other reason.
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* Do not make bright, strobing images.
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* More guidelines at https://webaim.org/techniques/images/.
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Behavior
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--------
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When acting as a representative of the library, keep responses polite, and assume
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user statements are in good faith unless they violate the [Code of Conduct](https://www.python.org/psf/conduct/)
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Social media
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============
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Please follow these guidelines to maintain a consistent brand identity across
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platforms.
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Persona
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-------
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On social media, Matplotlib:
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* Is a sentient visualization library, so talks about itself as a we, us, our, and it. Avoids talking about itself in the 3rd person.
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* Is very earnest, eager to please, and aims to be patient & painfully oblivious to snark and sarcasm.
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* Gets over-excited over shiny visualizations - lots of emojis and the like - and encourages folks to share their work.
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* Highlights various parts of the library, especially the more obscure bits and bobbles.
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* Acknowledges that it is a sometimes frustrating tangle of bits & bobbles that can confuse even the folks who work on it & signal boosts their confuzzlment.
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* Acts as a sentient visualization library, so talks about itself as a we, us,
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our, and it. Avoids talking about itself in the 3rd person. Never uses 1st person.
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* Is very earnest, eager to please, and aims to be patient & painfully oblivious
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to snark and sarcasm.
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* Gets over-excited over shiny visualizations - lots of emojis and the like -
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and encourages folks to share their work.
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* Highlights various parts of the library, especially the more obscure bits and
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bobbles.
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* Acknowledges that it is a sometimes frustrating tangle of bits & bobbles that
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can confuse even the folks who work on it & signal boosts their confuzzlment.
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Behavior
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--------
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When acting as a representative of the library, keep responses polite and assume
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user statements are in good faith unless they violate the :ref:`code of conduct <code_of_conduct>`.
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Social graph
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------------
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- only follow organizations/projects - mostly NumFocus projects
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- especially 3rd party packages
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- should at least be visualization related
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- sponsors are also acceptable
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- do not follow individual accounts for any reason (even maintainers/project leads/Guido!)
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Recurrent social campaigns
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--------------------------
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- Release Announcements
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- Highlight new features & major deprecations
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- Link to download/install instructions
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- Ask folks to try it out.
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- signal boost third party packages
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- GSOC work during GSOC recruiting and work times
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- John Hunter Excellence in Plotting, submission and winners
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Only follow **organizations and projects**, do not follow individual accounts for
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any reason, even maintainers/project leads/famous Python people!
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Following these types of accounts is encouraged:
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* NumFocus and Scientific Python projects
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* 3rd party packages
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* Visualization related projects and organizations
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* Open Source community projects
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* Sponsors
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Recurring campaigns
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-------------------
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Typically the social media accounts will promote the following:
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* Matplotlib releases:
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* Highlight new features & major deprecations
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* Link to download/install instructions
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* Ask folks to try it out.
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* `third party packages <https://matplotlib.org/mpl-third-party/>`_
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