What we’re about
Data Umbrella
ABOUT
Our mission is to provide a welcoming and educational space for under-represented persons in the fields of data science, machine learning, deep learning, artificial intelligence and analytics. All skill levels are welcome. Members can be of any self-identified category (gender, race, age, sexual orientation, disability and others).
ALLIES: We welcome allies of any background who (a) Follow our Code of Conduct and (b) Support our mission to join the community and share their skills and network to increase diversity in data science.
CODE OF CONDUCT
All members must read and adhere to the CoC, which applies to all spaces, online and in-person. Our CoC is adopted from NumFOCUS and is available here: https://www.dataumbrella.org/about/code-of-conduct
CONNECT WITH US
Website: https://www.dataumbrella.org
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LinkedIn: https://www.linkedin.com/company/dataumbrella/
Upcoming events (1)
See all- [Online] Contributing to the NumPy DocumentationLink visible for attendees
NumPy is a fundamental, open-source Python library for N-dimensional array programming used extensively for data analysis and scientific programming. As a community-driven project, NumPy is mainly sustained by open-source contributions. This talk focuses on avenues of contribution to the project documentation, an integral part of the software.
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How to Join the Webinar
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You can join via your browser (no app download required). Use Chrome or Firefox. Pre-register for the webinar:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar--------------------------------
Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YT and set your notifications: https://www.youtube.com/c/DataUmbrella/----------------------------------------
Time
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16:00 UTC, 9am PT / 12pm ET / 6pm Paris / 7pm EAT / 9:30pm IST (Daylight Savings Time)----------------------------------------
Additional Details
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Talk Level: Beginner
Pre-reqs: None
Prep Work: None
Resources: None----------------------------------------
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![[Online] Contributing to the NumPy Documentation cover photo](https://secure.meetupstatic.com/photos/event/2/2/e/3/event_528728931.webp "[Online] Contributing to the NumPy Documentation")
