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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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36:29

Vasiliy Kaminskiy - How Research Teams Can Deliver Higher-Quality Insights Faster | PyData

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Shared 1 week ago

99 views

37:48

Javier- Build a personalized Commute virtual assistant in Python w/ Hopsworks & LLM Function Calling

PyData

Shared 1 week ago

77 views

33:41

James Powell - How Dimensional is a `pandas.DataFrame`, anyway? | PyData Amsterdam 2024

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Shared 1 week ago

197 views

35:43

Wojtek Kuberski - The ML Monitoring Flow for Models Deployed to Production | PyData Amsterdam 2024

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Shared 1 week ago

103 views

36:18

Vitalie Spinu - Drift Detection on Irregular Time Series with Multiple Non-Uniform Seasonal Patterns

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Shared 1 week ago

125 views

46:44

Thomas Crul - Algorithmic bias is everywhere (especially at Breeze) - what can we do about it?

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Shared 1 week ago

58 views

37:28

Rodel van Rooijen - Building a Data Platform from scratch | PyData Amsterdam 2024

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Shared 1 week ago

188 views

36:51

Barend Linders - From mocking to rocking your tests with testcontainers | PyData Amsterdam 2024

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Shared 1 week ago

73 views

47:07

Gilian Ponte - Private targeting strategies | PyData Amsterdam 2024

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Shared 1 week ago

115 views

35:56

Hans Korving - SHAP beyond the standard graphics: co-design of ML-models in earth sciences

PyData

Shared 1 week ago

149 views

38:24

Meent & Tomaszewski - Fusing Machine Learning and Mixed Integer Linear Programming

PyData

Shared 1 week ago

179 views

35:46

Valerio Ciotti - Hunting unicorns with Network analysis | PyData Amsterdam 2024

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Shared 1 week ago

123 views

36:45

Philip Blair - Dealing With Names and Addresses Around the World | PyData Amsterdam 2024

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Shared 1 week ago

193 views

28:16

Matthieu Caneill - dbt-score: a linter for your dbt model metadata | PyData Amsterdam 2024

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Shared 1 week ago

90 views

30:53

Ankur Ankan - Introduction to Causal Inference using pgmpy | PyData Amsterdam 2024

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Shared 1 week ago

169 views

37:16

Ritchie Vink - Polars 1.0 and beyond | PyData Amsterdam 2024

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Shared 1 week ago

378 views

36:55

Andrei Stoian - Open-source Machine Learning on Encrypted Data | PyData Amsterdam 2024

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Shared 1 week ago

155 views

34:36

Atieno Ouma - Synthetic Data for Localized Solutions | PyData Amsterdam 2024

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Shared 1 week ago

136 views

24:39

Jakub Kramata - Big Bank Data in Migration: From In-House CSV to Parquet in Amazon S3

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Shared 1 week ago

723 views

29:37

Jupyter Notebooks for Print Media [PyCon DE & PyData Berlin 2024]

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Shared 2 weeks ago

671 views

29:01

Content Recommendation with Graphs: From Basic Walks to Neural Networks

PyData

Shared 2 weeks ago

866 views

27:11

Haystack 2.0: the story of a rewrite [PyCon DE & PyData Berlin 2024]

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Shared 2 weeks ago

582 views

29:59

Time series anomaly detection with a human-in-the-loop [PyCon DE & PyData Berlin 2024]

PyData

Shared 2 weeks ago

1.3K views

34:43

Jeroen Overschie - The Levels of RAG 🦜

PyData

Shared 2 weeks ago

1K views

28:59

Next Stop: Insights! How Streamlit and Snowflake Power Up Data Stories

PyData

Shared 3 weeks ago

739 views

30:32

Going beyond Parquet's default settings – be surprised what you can get

PyData

Shared 3 weeks ago

1.9K views

29:58

FlixBus CitySnap: How we use GenAI and not only to collect captivating images for cities and confir…

PyData

Shared 3 weeks ago

396 views

29:03

Marketing Media Mix Models with Python & PyMC: a Case Study [PyCon DE & PyData Berlin 2024]

PyData

Shared 3 weeks ago

1K views

34:08

Keynote - The Art and Science of Tending Open Source Orchards [PyCon DE & PyData Berlin 2024]

PyData

Shared 3 weeks ago

276 views

1:25:01

Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks

PyData

Shared 3 weeks ago

2.3K views