In this readme and the repo, you'll find a collection of useful resources related to the talk, such as the ipyvizzu notebooks used throughout the session, along with some additional ones that I've prepared for you to experiment and learn more about our tools.

Moreover, you'll find some helpful links to the Streamlit app and its source code, the ipyvizzu documentation, as well as to the bidirectional component that integrates ipyvizzu into Streamlit.

• The tutorial app for using ipyvizzu in Streamlit: https://intro-to-vizzu-in.streamlit.app/
• Streamlit-Vizzu bidirectional component code, how-to and source code of the tutorial app: https://github.com/vizzu-streamlit/streamlit-vizzu
  
  

• ipyvizzu documentation, examples & tutorial: http://ipyvizzu.com/

• ipyvizzu-story documentation, examples & tutorial https://ipyvizzu-story.vizzuhq.com

• ipyvizzu repo: https://github.com/vizzuhq/ipyvizzu - 🌟's are very much appreciated.

• ipyvizzu-story repo: https://github.com/vizzuhq/ipyvizzu-story
  
  

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