Talk like a DataFrame, run like SQL with Phillip Cloud - core-committer on Ibis
Ibis is a Python library that offers a single data-frame API, from Python, which can run your queries on many different backends. These include databases like Postgres, but also commercial vendors like BigQuery and Snowflake. This ability to control multiple backends from a single API has a lot of use-cases, as well as maintainer challenges, all of which are discussed in this episode.,
To learn more about Ibis, check out the docs here:
https://ibis-project.org/
If you're attending PyCon US this year, you may be interested in Philip's talk:
https://us.pycon.org/2024/schedule/pr...
During the podcast, Philip also mentioned a blogpost about DuckDB, here:
https://ibis-project.org/posts/why-du...
There was also a dogfooding blogpost, which is this one:
https://ibis-project.org/posts/ci-ana...
00:00 Introduction
09:20 Tests via Pandas
20:15 Huge Testing Suite
31:02 Performance
37:20 Let's face it
45:10 The Future
You can follow the podcast on most podcast players including apple podcasts, spotify and rss.com.
https://podcasts.apple.com/us/podcast...
https://open.spotify.com/show/0BnwEHu...
https://rss.com/podcasts/sample-space/
This podcast is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media.
Website: https://probabl.ai/
LinkedIn: / probabl
Twitter: https://x.com/probabl_ai
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