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README.md

Hello there!

Welcome to the repository folder for the PyData London Meetup talk about ipyvizzu

We're thrilled to have you here with us! 😊

If you watched the talk, I'd like to ask you for a small favor. Can you please spare 2-3 minutes of your time and fill out this survey? Your valuable feedback will help me and the entire Vizzu team to better understand your needs and thoughts on what we do. Here's the link to the survey: https://bit.ly/vizzu-survey

In this readme and the repo, you'll find a collection of useful resources related to the talk, such as the ipyvizzu notebooks that I presented during the session, along with some additional ones that I've prepared for you to experiment and learn more about this powerful tool and its presentation extension: ipyvizzu-story.

Moreover, you'll find some helpful links to some Streamlit apps that show how our tools work within that platform and the ipyvizzu documentation.

Useful links

Come join our community!

Lastly, we'd like to invite you to join our community on Slack. We're always eager to welcome new members and help them get started, answer any questions you may have, and provide feedback and support for your projects and contributions. Here's the invite link: https://join.slack.com/t/vizzu-community/shared_invite/zt-w2nqhq44-2CCWL4o7qn2Ns1EFSf9kEg

We love to see our community members actively engaged with us! There are a few ways you can help us out:

  • Test our tool and let us know if you encounter any issues. We value your feedback and are always looking to improve our tool. Please feel free to share your thoughts with us on Slack or open an issue in the ipyvizzu repository.
  • Create new examples of how to use the awesome capabilities of animated reports! Your creativity and expertise are invaluable to us and can inspire other users to take advantage of ipyvizzu's full potential.

Thank you for your time, and we look forward to hearing from you soon!

Peter & the Vizzu Team