Discover Vincent Warmerdam's Untitled13.ipynb at PyData Amsterdam 2025 🚀
Explore how Vincent Warmerdam's notebook exemplifies the power of Python notebooks in transforming data science and boosting creativity. Join us at PyData Amsterdam 2025!

PyData
1.3K views • Oct 30, 2025

About this video
www.pydata.org
For well over a decade, Python notebooks revolutionized our field. They gave us so much creative freedom and dramatically lowered the entry barrier for newcomers. Yet despite all this ... it has been a decade! And the notebook is still in roughly the same form factor.
So what if we allow ourselves to rethink notebooks ... really rethink it! What features might we come up with? Can we make the notebook understand datasources? What about LLMs? Can we generate widgets on the fly? What if we make changes to Python itself?
This presentation will be a stream of demos that help paint a picture of what the future might hold. I will share my latest work in the anywidget/marimo ecosystem as well as some new hardware integrations.
The main theme that I will work towards: if you want better notebooks, reactive Python might very well be the future.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
For well over a decade, Python notebooks revolutionized our field. They gave us so much creative freedom and dramatically lowered the entry barrier for newcomers. Yet despite all this ... it has been a decade! And the notebook is still in roughly the same form factor.
So what if we allow ourselves to rethink notebooks ... really rethink it! What features might we come up with? Can we make the notebook understand datasources? What about LLMs? Can we generate widgets on the fly? What if we make changes to Python itself?
This presentation will be a stream of demos that help paint a picture of what the future might hold. I will share my latest work in the anywidget/marimo ecosystem as well as some new hardware integrations.
The main theme that I will work towards: if you want better notebooks, reactive Python might very well be the future.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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Video Information
Views
1.3K
Likes
53
Duration
49:20
Published
Oct 30, 2025
User Reviews
4.5
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