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: https://github.com/zarr-developers/zarr-illustrations-falk-2022