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Haleshot: marimo Ambassador and Community Contributor

September 20, 2024

Haleshot is an undergraduate student pursuing a B.Tech in AI and an open-source enthusiast. He has contributed so much to the marimo community — PRs, feedback, example notebooks and tutorials, keeping ⁠marimo-blog up-to-date, and more! As a contributor and newly appointed marimo ambassador, he helps to drive developer relations and collaboration.

Featured Work: Goodreads Dataset EDA

Open with marimo

Key aspects of this analysis:

  • Exploration of user rating patterns
  • Investigation of book characteristics
  • Identification of potential relationships between dataset features
  • Insights that can be used for building recommendation systems

You can find this notebook and more in the marimo-tutorials collection on marimo cloud.

Marimo tutorials Repository

Haleshot is a core contributor of the marimo-tutorials repository which helps in showcasing innovative projects within the marimo community. This repository aims to serve as a reference point for all marimo-related notebook implementations (spanning various domains), complete with links to open them in the community cloud.

We encourage you to check out the repository and show your appreciation by giving it a ⭐!

Note

This project is part of our Community Spotlights collection, where we feature outstanding projects and contributions from the marimo community.

We're thrilled to have Haleshot as an active and innovative member of the marimo community!

Spotlight Promotion

This spotlight has been featured on our social media platforms. Join the conversation:

  • LinkedIn Post: Link
  • Twitter Post: Link
  • Discord message: Link

We encourage you to engage with these posts, share your thoughts, and help us celebrate this amazing contribution to the Marimo community!

Running Haleshot's Notebooks

To run Haleshot's notebooks locally, you can use the following command if you have uv installed:

uvx marimo run --sandbox notebook.py

If you don't have uv installed, you can use:

marimo run notebook.py

Note that you may need to manually install dependencies if not using uv.

To edit the notebook source code, replace run with edit in the above commands.