PyData Seattle 2023

Panel: “Building a Stronger Open Source Python Data Community: Trends, Gaps, and Collaborative Contributions”
04-26, 15:30–17:00 (America/Los_Angeles), Hood

Expert on the field of software will share their stories in their journey of building a strong open source Python data community.

The theme of the panel will center around 3 topics: Data industry trends, Python industry trends and the state of open source software. The panel will start with a roundtable introduction by the panelists, covering: who they are, what they do, and their first introduction to Python and data. After the introductions, the panel will move into industry trends. What are the current trends in the broader data ecosystem and where are there gaps in the Python ecosystem in comparison? Next, we will move on to open source. How can we promote a more sustainable open source ecosystem, how can we incentivize developers and organizations to fill the gaps in the Python ecosystem, and what are their opinions on commercial open source software. To round out the discussion, we will move on to contributing to open source, how folks can get involved and what projects should do to encourage people to get involved.

Prior Knowledge Expected

No previous knowledge expected

Hamel is an entreprenuer-in-residence at, where he is building new software development tools like nbdev. Prior to, Hamel was a machine learning engineer at companies like Airbnb, GitHub, and DataRobot, and other related roles in management consulting. You can find more about Hamel on his personal site.

A hands-on leader and Silicon Valley veteran, Stefan has spent over 15 years thinking about data and machine learning systems, building product applications and infrastructure at places like Stanford, Honda Research, LinkedIn, Nextdoor, Idibon, and Stitch Fix. A regular conference speaker, Stefan has guest lectured at Stanford’s Machine Learning Systems Design course and is an author of a popular open source framework called Hamilton. Stefan is currently CEO of DAGWorks, an open source startup that is enabling Data Science teams to build and maintain each others' model pipelines without the coding nightmares.

Dr. Katrina Riehl is President of the Board of Directors at NumFOCUS, Head of the Streamlit Data Team at Snowflake, and Adjunct Lecturer at Georgetown University. For almost two decades, Katrina has worked extensively in the fields of scientific computing, machine learning, data mining, and visualization. Most notably, she has helped lead data science efforts at the University of Texas Austin Applied Research Laboratory, Apple, HomeAway (now, Vrbo), and Cloudflare.

Juanita Gomez is passionate programmer, mathematician, and open source advocate, former developer of Spyder IDE at Quansight. She has a BS in Pure Mathematics from Pontificia Universidad Javeriana in Colombia and is currently pursuing a PhD in Computer Science at UC Santa Cruz. She is a community manager for the Scientific Python project, a community effort to better coordinate and support scientific Python libraries.

Zander is a seasoned data engineer who has founded and currently helms Bytewax. Boasting over ten years of experience in data infrastructure and data science at top-tier tech organizations like GitHub and Heroku, Zander possesses a deep understanding of the nuances of the Python ecosystem. A true trailblazer and visionary, Zander persistently propels progress in the field and simplifies how Python developers interact with streaming data.
Outside of his professional pursuits, Zander can be found exploring the natural beauty of Santa Cruz, whether he's catching waves in the ocean or hiking through the forest.