Community Outreach

Outreaching to Social Media#

Use various social Media channels for outreach:

  • Twitter:

    • Utilize hashtags relevant to the scientific Python community to increase visibility.
    • Engage with users by responding to questions, sharing resources, and participating in discussions.
    • Retweet and mention influential users and organizations to foster connections.
    • Share updates on project releases, new features, and bug fixes.
    • Highlight community contributions and achievements.
  • LinkedIn:

    • Create a LinkedIn group for the project to facilitate networking and discussions among professionals.
    • Share project updates, news, and job opportunities.
    • Encourage community members to share their experiences and insights related to the project.
    • Connect with other professionals and organizations in the scientific Python field.

Tools for community outreach(TODO)#

Speaking at Conferences and Events:#

  • Submit proposals to relevant conferences, emphasizing the project’s unique features and benefits.
  • Prepare engaging presentations that demonstrate the project’s capabilities and use cases.
  • Provide live demos or tutorials to showcase the project in action.
  • Connect with attendees during and after the event, answer their questions, and collect feedback.

Teaching Tutorials#

  • Organize regular online tutorials or sprints to educate the community about using the project.
  • Cover various skill levels, from beginners to advanced users.
  • Provide clear documentation and code examples.
  • Encourage community members to share their own tutorials and best practices.

Writing Blog Posts:#

  • Keep the community updated on important news, such as project milestones, partnerships, and funding.
  • Announce major releases, highlighting new features and improvements.
  • Share technical insights, tips, and tutorials related to the project.
  • Recognize and appreciate community contributors through dedicated blog posts.

Creating content#

  • Create video tutorials, screencasts, or live coding sessions to demonstrate the project’s usage.
  • Develop interactive Jupyter notebooks showcasing practical applications.
  • Produce podcasts or interviews with community members or domain experts.
  • Collaborate with other scientific Python projects for joint content creation, such as tutorials or blog posts.
  • Create illustrations on how your project works:
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