PyData Los Angeles 2019

Hosted at California State University – Los Angeles

December 3-5

Keynote Speakers

Carol Willing

Project Jupyter’s Steering Council member, JupyterHub and Core Developer, co-editor of The Journal of Open Source Education (JOSE) and co-authored an open source book, Teaching and Learning with Jupyter.

Kyle Polich

Kyle is the host of the Data Skeptic podcast, a weekly interview program covering topics related to data science, artificial intelligence, machine learning, statistics, and cloud computing. Data Skeptic celebrated its 5th birthday this year.

As principal architect at Data Skeptic Labs, he leads a team that builds bespoke machine learning and data solutions at scale in industries including aerospace, fraud prevention, retail, insurance, consumer packaged goods, and ad-tech. Kyle also serves as an advisor to several small and medium-sized companies. Data Skeptic Labs released its first official product (a chatbot platform) in 2019.

Milana Lewis

Milana (Rabkin) Lewis is the co-founder and CEO of Stem, a financial platform that simplifies payments for musicians and content creators.

Prior to founding Stem, Milana spent five years as a Digital Media Agent at the premier global talent and literary agency, United Talent Agency (UTA). She helped build UTA’s digital offerings by advising the agency’s individual and corporate clients on emerging distribution platforms, digitally-driven fundraising and monetization opportunities. Milana represented a roster of digital creators, ranging from top YouTube and Vine stars to prominent bloggers and social media personalities, and helped grow their social channels into sustainable and profitable careers. In addition to this work, Milana sourced investment opportunities for UTA’s then newly-formed venture capital division.

Sameer Singh

Dr. Sameer Singh is an Assistant Professor of Computer Science at the University of California, Irvine (UCI). He is working on robustness and interpretability of machine learning algorithms, along with models that reason with text and structure for natural language processing. Sameer was a postdoctoral researcher at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs. His group has received funding from Allen Institute for AI, National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Adobe Research, and FICO.

Open Source Sprints

This year, we are incorporating open source development sprints into PyData Los Angeles. Open source development sprints are an excellent way to dive deeply into a project, learn intensively, interact with the maintainers and other sprinters, and contribute to back to the community.

We will be hosting development sprints on December 3rd from 1:30pm to end of day. RSVP by either purchasing a full-day tutorial pass or registering a free Sprinter pass here.

If you would like to be sprint host for an open-source project, please submit your project via this form.

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.

Diversity Scholarships

One of PyData's goals is to increase awareness and excitement around opportunities for underrepresented groups in software engineering and data analytics. To increase diversity in scientific computing, our outreach program ranges from hosting workshops that introduce programming to young women to encouraging diversity in speakers at PyData.

For PyData LA 2019, we are offering scholarship opportunities to those from underrepresented groups who may otherwise be unable to attend the conference.

Please note scholarships do not cover travel or lodging costs.

• November 3: application deadline
• November 10: award letters to successful applicants

Submit your application for a diversity scholarship here

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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