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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.

We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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35:13

PyData Chicago October 2024 Meetup | Towards Secure AI: From PGD to GCG and the Generative Ai Era

PyData

Shared 4 days ago

320 views

27:29

Jeroen Janssens - How I hacked UMAP and won at a plotting contest | PyData Amsterdam 2024

PyData

Shared 1 week ago

963 views

46:18

Gulmammadova & Mukherjee - RNNs for data-driven multi-touch attribution at Booking.com

PyData

Shared 1 week ago

410 views

31:34

Magdalena Kowalczuk - Alice in the Open Source Land | PyData Amsterdam 2024

PyData

Shared 1 week ago

481 views

34:11

Martin Trautmann - pydiverse pipedag: A library for data pipeline orchestration

PyData

Shared 1 week ago

875 views

54:10

Juan Orduz - Time Series forecasting with NumPyro | PyData Amsterdam 2024

PyData

Shared 1 week ago

2.3K views

35:43

Mike Kraus - Polishing Python: Preventing Performance Corrosion with Rust | PyData Amsterdam 2024

PyData

Shared 1 week ago

552 views

35:44

Marco Gorelli - Understanding Polars Expressions when you're used to pandas | PyData Amsterdam 2024

PyData

Shared 1 week ago

1K views

44:17

Marzieh Fadaee - Keynote: The Art of Language: Mastering Multilingual Challenges in LLMs

PyData

Shared 1 week ago

124 views

49:17

Cordier & Lacombe - Boosting AI Reliability: Uncertainty Quantification with MAPIE

PyData

Shared 1 week ago

190 views

38:42

Danial Senejohnny - Causal Effect Estimation in Practice: Lessons Learned from E-commerce & Banking

PyData

Shared 1 week ago

393 views

35:24

Sarah Diot-Girard - Debugging as an experimental science | PyData Amsterdam 2024

PyData

Shared 1 week ago

110 views

44:17

Marzieh Fadaee - Keynote: The Art of Language: Mastering Multilingual Challenges in LLMs

PyData

Shared 1 week ago

62 views

33:43

Richie Lee - LLM Security 101 - An Introduction to AI Red Teaming | PyData Amsterdam 2024

PyData

Shared 1 week ago

150 views

35:06

Rob Romijnders - Differential Privacy Made Practical | PyData Amsterdam 2024

PyData

Shared 1 week ago

81 views

35:51

Vincent D. Warmerdam - Run a benchmark they said. It will be fun they said. | PyData Amsterdam 2024

PyData

Shared 1 week ago

232 views

40:06

Merve Noyan - Keynote: Open-source Multimodal AI in the Wild | PyData Amsterdam 2024

PyData

Shared 1 week ago

117 views

54:01

Lightning Talks + Closing Remarks DAY 1 | PyData Amsterdam 2024

PyData

Shared 1 week ago

53 views

28:03

Maarten Sukel - Jounai.nl: Playing with New Tech to Reinvent the News | PyData Amsterdam 2024

PyData

Shared 1 week ago

54 views

27:40

Karami & Kulakova - Data Science for Social Good: Making Impact in Resource-Constrained Environments

PyData

Shared 1 week ago

61 views

33:54

Raphael Tamaki - Almost Perfect: A Benchmark on Algorithms for Quasi-Experiments | PyData Amsterdam

PyData

Shared 1 week ago

193 views

36:36

Maico Timmerman - From Data Pipelines to a Data Platform: Embracing Monorepo Architecture

PyData

Shared 1 week ago

221 views

39:37

Françoise Provencher - How to measure a city | PyData Amsterdam 2024

PyData

Shared 1 week ago

111 views

31:25

Mojtaba Farmanbar - Uncertainty quantification: How much can you trust your machine learning model?

PyData

Shared 1 week ago

376 views

34:47

Laura Israel - Je ne regrette rien: Teaching Machine Learning Models Regret Avoidance

PyData

Shared 1 week ago

74 views

32:26

Jouanneau & Palyart - SLM-powered retrieval to scale freelancers matching at Malt

PyData

Shared 1 week ago

55 views

34:18

Sander Land - Terrible tokenizer troubles in large language models | PyData Amsterdam 2024

PyData

Shared 1 week ago

137 views

48:49

Bauer & Fraunholz - Insights from Two Shipmates sailing in the LLM CTF @ SaTML 2024

PyData

Shared 1 week ago

93 views

43:11

Ines Montani - Keynote: Applied NLP in the age of Generative AI | PyData Amsterdam 2024

PyData

Shared 1 week ago

378 views

35:00

Alex Shershebnev - Going Beyond Copilot with AI Agents | PyData Amsterdam 2024

PyData

Shared 1 week ago

82 views