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.. _communications-guidelines :
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- ========================
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- Communication guidelines
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- ========================
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+ ==========================
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+ Community engagement guide
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+ ==========================
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- These guidelines are applicable when acting as a representative of Matplotlib,
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+ These guidelines are applicable when ** acting as a representative ** of Matplotlib,
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for example at sprints or when giving official talks or tutorials, and in any
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community venue managed by Matplotlib.
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+ Our approach to community engagement is foremost guided by our :ref: `mission-statement `:
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+
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+ * We demonstrate that we care about visualization as a practice
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+ * We deepen our practice and the community’s capacity to support users,
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+ facilitate exploration, produce high quality visualizations, and be
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+ understandable and extensible
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+ * We showcase advanced use of the library without adding maintenance burden to
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+ the documentation and recognize contributions that happen outside of the github
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+ workflow.
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+ * We use communications platforms to maintain relationships with contributors
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+ who may no longer be active on GitHub, build relationships with potential
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+ contributors, and connect with other projects and communities who use
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+ Matplotlib.
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+ * In prioritizing understandability and extensiblity, we recognize that people
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+ using Matplotlib, in whatever capacity, are part of our community. Doing so
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+ empowers our community members to build community with each other, for example
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+ by creating educational resources, building third party tools, and building
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+ informal mentoring networks.
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+
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.. _communication-channels :
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Official communication channels
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===============================
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+ The Scientific Python community uses various communications platforms to stay
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+ updated on new features and projects, to contribute by telling us what is on
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+ their mind and suggest issues and bugs, and to showcase their use cases and the
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+ tools they have built.
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+
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The following venues are managed by Matplotlib maintainers and contributors:
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* library and docs: https://github.com/matplotlib/matplotlib
@@ -148,12 +172,32 @@ Visual media in communications should be made as accessible as possible:
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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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+ .. _social-media-brand :
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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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+ Matplotlib aims for a single voice across all social media platforms to build and
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+ maintain a consistent brand identity for Matplotlib as an organization. This
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+ depersonalization is the norm on social media platforms because it enables
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+ constructive and productive conversations; People generally feel more comfortable
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+ giving negative and constructive feedback to a brand than to specific contributors.
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+
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+ The current Matplotlib voice and persona aims to be kind, patient, supportive and
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+ educational. This is so that it can de-escalate tensions and facilitate
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+ constructive conversations; being perceived as negative or
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+ argumentative can escalate very fast into long-lasting brand damage, being
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+ perceived as personal leads to aggression and accusations faster than an
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+ impersonal account, and being perceived as friendly and approachable leads to
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+ higher engagement. Instead of speaking with a directive authority, which can be
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+ intimidating and lead to negative engagement, it speaks as a peer or educator to
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+ empower participation. The current voice encourages more input from folks we
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+ engage with, and also makes it possible for folks who are not in the core team
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+ to participate in managing the account.
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+
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+ While the :ref: `brand identity <social-media-brand >` is casual, the showcased
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+ content is high quality, peer-led resource building. Please follow these
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+ guidelines to maintain a consistent brand identity across platforms.
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Persona
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-------
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