Pandas
product on 5 shows · 6 statements across 3 episodes · said 45 times in 24 episodes since 2013
the MAD Podcast 32 
Latent Space 9 
the Y Combinator Startup Podcast 2 
Startups For the Rest of Us 1 
TBPN 1
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the MAD Podcast 32Latent Space 9the Y Combinator Startup Podcast 2Startups For the Rest of Us 1TBPN 1
2026 1 mention in 1 episode
2025 4 mentions in 4 episodes 1 per episode
2024 3 mentions in 3 episodes 1 per episode
2023 3 mentions in 2 episodes 2 per episode
2022 1 mention in 1 episode
2021 23 mentions in 7 episodes 3 per episode
- Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- Introducing Kedro
- Episode 563 | The Struggle, Calls to Action, Selling Above $1M ARR, and More Listener Questions
- Fireside Chat: Abe Gong (Founder & CEO, Superconductive) with Matt Turck (Partner, FirstMark)
- Fireside Chat: Nick Schrock (Founder & CEO, Elementl) with Matt Turck (Partner, FirstMark)
- Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- Data Observability and Pipelines: OpenLineage and Marquez
- every mention in 2021, scene by scene →
2019 5 mentions in 2 episodes 3 per episode
2015 1 mention in 1 episode
2014 2 mentions in 2 episodes 1 per episode
2013 2 mentions in 1 episode
every mention on every show, scene by scene, with the transcript →
6 statements about Pandas, every show
Eugene Yan: DocETL applies database concepts to unstructured document processing
“Essentially, what this is trying to do is it's trying to take database, database concepts and pandas data frame concepts and try to apply them to shapeless documents.”
Over 90% of Python tabular data passes through Pandas
“I'd say, you know, nine, more than 90% of the data that's coming into structured data processing in, in the Python ecosystem, tabular data processing is passing through pandas at some point at some point in its lifetime.”
Pandas has had well over 2,000 open-source contributors
“I know there've been well over 2000 contributors at this point.”
Pandas never had a significant corporate sponsor
“Pandas never really had a significant corporate sponsor who was you know putting in the majority of contributions. Like it really was a community project almost, you know from the get go.”
Running Apache Spark on a single node is slower than Pandas
“You can use spark at the single node scale as an alternative to pandas through the koalas interface, but you'll find that for many workloads, it's simply slower than pandas, which is not super impressive.”