https://p.eertu.be/videos/watch/739dfc0d-c55e-465a-ba51-6dd65cb84907 In the last decade, pandas has been growing, and it became a very popular tool for data manipulation and data analysis. But as the number of users grew, the number of use cases also grew, and pandas couldn't adapt to them all. Many other tools have been created to complement pandas for new problems. Some of these tools are Dask, Vaex, Ibis, Modin, cuDF, Koalas, Mars, and Eland. All these tools are useful for certain problems, and all of them try to provide a user interface similar to pandas. While having new options is great for users, the ecosystem is becoming increasingly complex and harder to understand. There are dependencies among the different tools, some overlap, different tools trying to solve different problems, and many areas where the different tools could better find synergies. In this talk, Marc will give a quick overview of the ecosystem, analyze the different components of these systems, and discuss what the future dataframe ecosystem could look like. About the speaker: Marc Garcia is an Ibis and pandas core developer, a fellow of the Python Software Foundation and a member of the EuroPython Society. Marc has been a co-organizer of the EuroSciPy conference and the PyData Mallorca meetup. He is the founder of the London Python sprints group. He has been working with Python for almost 15 years. He works as a machine learning engineering contractor, and has helped companies such as Bumble, Bank of America and Tesco build their data systems. https://datapythonista.me/ Hosted and sponsored by Saturn Cloud Tue, 07 Jul 2026 00:46:52 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://p.eertu.be https://p.eertu.be/client/assets/images/icons/icon-1500x1500.png https://p.eertu.be/videos/watch/739dfc0d-c55e-465a-ba51-6dd65cb84907 All rights reserved, unless otherwise specified in the terms specified at https://p.eertu.be/about and potential licenses granted by each content's rightholder.