PyData Los Angeles 2019

Hosted at California State University – Los Angeles

December 3-5

Submit a Proposal

Call for Proposals is OPEN - Click HERE to find out more information.
The deadline to submit a proposal is October 1st

Interested in volunteering?

Please fill out this form.

Sponsoring PyData

Why Sponsor PyData?

  • Invest in your brand equity by supporting the community of developers and open source maintainers
  • Connect with engineers, analysts, and data scientists at the forefront of machine learning and artificial intelligence
  • Demonstrate your company's leadership and innovation chops in front of the brightest minds in the business

Check out our PyData Prospectus

Email [email protected] to find out more about sponsoring.

Code of Conduct

All attendees are expected to abide by the NumFOCUS Code of Conduct. Please take this opportunity to review it.

Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes and language are not appropriate for PyData. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form. Thank you for helping make this a welcoming, friendly community for all.

The full Code of Conduct and additional information can be found here.

If you wish to submit a Code of Conduct report click here.

Have questions? Email us at [email protected]



PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization.

We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.

For more information about the conference series, visit:

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