Hello, The report from the Data Umbrella Latin America scikit-learn sprint is here [a]. 40 people, including 7 countries in Latin America, joined. TAKEAWAYS - translations are useful. English is not the lingua franca in all regions where python/data science is practiced. - videos are accessible references, but they also get outdated quickly. - both translations and videos are useful, and also resource-intensive. Thanks to everyone on the Data Umbrella and scikit-learn teams for their assistance in making this happen! [a]: https://reshamas.github.io/data-umbrella-latam-2021-scikit-learn-sprint-repo... Cheers, Reshama --- Reshama Shaikh she/her On Sun, May 23, 2021 at 10:37 AM Reshama Shaikh <reshama.stat@gmail.com> wrote:
Hello, Data Umbrella is organizing a scikit-learn open source sprint, with a focus on * LATIN AMERICA * on June 26, 2021.
This scikit-learn sprint is a 4-hour online hands-on "hackathon" where we work on issues in the scikit-learn GitHub repo to get started in contributing to open source in a structured setting. There is 2-3 hours of pre-work and participants will work with a pair programming partner during the sprint.
Sprint website: https://latam2021.dataumbrella.org/home
Sprint application: https://forms.gle/cxav9eE9ZkiULfbm7
Tweet: https://twitter.com/DataUmbrella/status/1394661734275821573
LinkedIn post: https://www.linkedin.com/feed/update/urn:li:activity:6800434144624070656/
Meetup event: https://www.meetup.com/data-umbrella/events/278298428/
FAQ: Q: If I am not in Latin America, can I still apply and participate?
A: Priority will be given to folks in the Latin America region. If there are open spots, we will open it up to other regions. In the meantime, we have resources available for all to get started in contributing to scikit-learn. Check them out here: https://latam2021.dataumbrella.org/about/prep-work
Any questions, please email us: data.umbrella.dei@gmail.com
Cheers, Reshama --- Reshama Shaikh she/her Blog <https://reshamas.github.io> | Twitter <https://twitter.com/reshamas> | LinkedIn <https://www.linkedin.com/in/reshamas/> | GitHub <https://github.com/reshamas>
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