PyData Amsterdam @pydataamsterdam
Brings together users and developers of open source data analysis tools in Amsterdam through meetups and a conference! amsterdam.pydata.org Amsterdam Joined June 2015-
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Delighted to welcome Bridg as a Gold Sponsor of PyData Amsterdam 2025! In this milestone 10-year anniversary edition, Bridg joins us in championing the power of data and collaboration as part of the PyData community. š«amsterdam.pydata.org/conference
š Thrilled to announce Sopra Steria as a Platinum Sponsor for PyData Amsterdam 2025! In this special 10-year anniversary edition, Sopra Steria joins us in supporting the PyData community and the open-source ecosystem that fuels data and AI innovation. šļøamsterdam.pydata.org/conference
Tutorial day tickets are SOLD OUT. Our Tutorial Day on September 24 at TNW City is now fully booked. š Good news though, conference day tickets (September 25-26 @ de Kromhouthal) are still available. Donāt miss out: amsterdam.pydata.org/tickets #PDAmsterdam2025 #10YearsPDAmsterdam
š Weāre proud to welcome @BigDataRepublic back as a Gold Sponsor for PyData Amsterdam 2025! After supporting us last year, theyāve strengthened their commitment to the community for our 10-year anniversary edition. Join us from September 24ā26: amsterdam.pydata.org/conference
Weāre proud to have @DexterEnergyNL supporting #PDAmsterdam2025 as a Platinum+ Sponsor! Now in their 2nd year with us, Dexter Energy continues to back the PyData community showing their commitment to both our community & the future of data & AI innovation amsterdam.pydata.org/conference
š§How do you spot unattended baggage in crowded transport hubs with AI? In 3 weeks, Evertjan Peer & team from @kickstartAI built a full pipeline, from anonymizing video to YOLO detection & tracking. See how AI tackles real-world security at #PDAMS2025 šamsterdam.pydata.org/program
š§© Weāre thrilled to welcome @jetbrains as a Platinum+ Sponsor for #PDAmsterdam2025! After joining & supporting us last year, JetBrains is returning for the second year in a row, continuing their commitment to supporting the data and AI community. šļøamsterdam.pydata.org/conference
š Weāre excited to welcome Adyen back to PyData Amsterdam 2025 as a Diamond Sponsor! For the third year in a row, Adyen is showing incredible support for our community! Meet the Adyen Team at #PDAmsterdam2025: amsterdam.pydata.org/conference
āļø Weāre thrilled to welcome @Snowflake back to PyData Amsterdam 2025, this time as a Platinum Sponsor after supporting us as a Gold Sponsor last year,š Secure your tickets now and Meet the Snowflake Team at PyData Amsterdam from September 24ā26: lnkd.in/e5nTQ6z3
Building ML features shouldnāt mean mastering Spark. In āDeclarative Feature Engineering,ā Miguel Leite & Vitalii Zhebrakovskyi share how Adyen built a DSL to streamline batch & real-time pipelines. Explore the full program: amsterdam.pydata.org/program
What if notebooks could do more? In āUntitled13.ipynb,ā Vincent D. Warmerdam explores reactive Python, LLM tooling & WASM-powered notebooks that push the boundaries of exploration. Explore the full program: amsterdam.pydata.org/program
Testing ML code is tough at scale. In āDesigning tests for ML libraries ā lessons from the wild,ā Sayak Paul & Benjamin Bossan share lessons from Hugging Face on keeping libraries like Transformers reliable. Explore the full program: amsterdam.pydata.org/program
Is long context better than RAG? In āContext is King,ā Bauke Brenninkmeijer compares grounding strategies for GenAI, with real-world insights, code, and trade-offs. Explore the full program: amsterdam.pydata.org/program
š« FINAL WEEK for the Early Bird Tickets! š¦ Don't miss out, offer ends on August 4! š amsterdam.pydata.org/program
LLMs are only as useful as the context they access. In āModel Context Protocol,ā Gabriele Orlandi & Fabio Lipreri share how MCP connects tools like GitHub & Slack to your agents. Explore the full program: amsterdam.pydata.org/program
Not all model mistakes are equal. In āCost-Sensitive Classification in Practice,ā Shimanto Rahman shows how to train models that optimize for real-world impact using the Empulse library. Explore the full program: amsterdam.pydata.org/program
Worried your chatbot is hallucinating? In āHow to Keep Your LLM Chatbots Real,ā Maria Bader shares practical metrics and tools to evaluate and improve GenAI apps. Explore the full program: amsterdam.pydata.org/program
In"Gotta Catch āEm All-Hunting Fraudsters with Minimal Labels and Maximum ML,"Jaap&Itzel shares how their team built a production-ready ML system that processes hundreds of transactions per second, all w/out relying on confirmed fraud labels. šamsterdam.pydata.org/program
In "Uncertainty Unleashed: Wrapping Your Predictions in Honesty," Konstantinos Tsoumas breaks down how conformal methods can bring calibrated, trustworthy uncertainty estimates to your models. š Explore the full program: amsterdam.pydata.org/program
In the talk "Actionable Techniques for Finding Performance Regressions",Thijs Nieuwdorp & Jeroen Janssens share how they uncovered and fixed a subtle performance issue in the Polars DataFrame library. Explore the full program: amsterdam.pydata.org/program
Vincent D. Warmerdam @fishnets88
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vicki @vboykis
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53 Followers 752 Following Tengo buen humor, me gusta la mĆŗsica moderna, creo en los valores y la Ć©tica, soy muy confiado. Quiero lo mejor para mi familia, ver feliz a mi esposa e hija.
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11K Followers 2K Following Prefer common sense over hype. Employed @marimo_io, builds https://t.co/KOwpfLMpuQ, https://t.co/EZ7HMX8u9J, blog https://t.co/zREZ8H2IBZ.
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Chris Albon @chrisalbon
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spaCy @spacy_io
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