Interview with Lamine Souiki and Marine Michaut from Capital Fund Management (CFM) at #PyData Paris 2024. CFM is a long-term contributor to the Python data ecosystem driven by their use of quantitative scientific methodologies. We dive into this use case and how live as a data scientists looks like at CFM ... ⇒ checkout their webpage https://www.cfm.com/
Tentang kami
PyData Paris is the Paris chapter of the PyData global community of users and developers of open-source scientific computing software. We provide a forum for the community of users and developers of data analysis tools to share ideas and learn from each other. We run regular meetups at changing locations and yearly conferences.
- Website
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https://pydata.org/paris2024
Link eksternal untuk PyData Paris
- Industri
- Pengembangan Perangkat Lunak
- Ukuran perusahaan
- 2-10 karyawan
- Jenis
- Nirlaba
Karyawan di PyData Paris
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FireDucks is an accelerated dataframe library, a drop-in replacement for Pandas, and the center of this conversation with Sourav (ソウラブ) Saha (サハ) and Kazuhisa Ishizaka at their #PyData #Paris 2024 booth ... Thank you again for sponsoring !
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PyData Paris membagikan ini
🌐PyData Global 2024 is BACK, and we need you to make it bigger than ever!🌐 Our fully-virtual conference series is returning from Dec. 3-5. We welcome all voices; let yours be heard on our GLOBAL stage by submitting your CFP by Oct. 7! Open to all languages, not just Python! https://hubs.la/Q02QvHY70 #coding #opensource #datascience #programming #data #analytics #rlang #rlanguage #rprogramming #R #statistics #rspatial
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Interview with Sylvain Corlay, CEO QuantStack and lead organizer of #PyData Paris 2024, covering his motivation and vision for the conference, alongside QuantStack's work for the data science ecosystem ...
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PyData Paris membagikan ini
Who or what is NumFOCUS ? Leah Silen and Nicole F. explain in this interview directly from their #PyData Paris booth ...
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PyData Paris membagikan ini
🚀 Mojdeh Rastgoo from PyLadies Paris recently presented at PyData Paris Conference! Our community is growing fast, and we're on the lookout for partners to support us in empowering women in tech! ✨ We're currently seeking: - Sponsors for goodies, stickers, etc - Venues who would like to host our events - Speakers to inspire and share knowledge - Support for a streaming license to reach a broader audience Join us in building an inclusive tech community! Interested in collaborating? Reach out or connect with us directly. 💬 #WomenInTech #PyData #CommunitySupport #Sponsorship #Inclusion
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Building a company around a hugely popular open-source project while preserving its openness and value? Check out this interview with Yann Lechelle, who is pioneering a fascinating approach alongside 13 co-founders involved with scikit-learn at :probabl. — sponsor at #PyData #Paris and one of the most interesting startups in France, the EU, and the open-source world as a whole...
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This interview is with Maria Knorps and Nour EL MAWASS from Tweag, the OSPO of Modus Create at PyData Paris. They'll tell us how the package manager Nix triggered work on a Python dev-tool called FawltyDeps ...
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PyData Paris membagikan ini
I'm so grateful for all those who made PyData Paris 2024 happen! Thank you to the organizers and volunteers who made it run so smoothly, to the other speakers for the great presentations and to the community for exchanging thoughts on Python, ML and AI stuff. It was 2 days packed full of enlightning talks and I won't be able to mention everything I've learnt, but some highlights: 👉 Nicolas Guénon des Mesnards on when and how to combine rule-based and ML models in production 👉 using LLMs as judges is not as straighforward as we could hope for, which was thoroughly illustrated by Nour EL MAWASS and Maria Knorps 👉 being able to explain business metrics in a simple and accurate manner is more than useful, and I'll definitely check Max Halford's icanexplain package 👉 Gabriele Orlandi's and 👋 Luca Baggi's talk on foundational models for time series forecasting was great and instructive, and their thoughts on how to read or construct a good benchmark seem totally relevant to other fields to me 👉 Also, thanks to talks by Marco Gorelli on Polars, or Guillaume Lemaitre and Stefanie Senger, PhD on scikit-learn, or the great keynote of Olivier Grisel, I more than ever realised that I only use probably the smallest portion of what the Python ecosystem has to offer in my domain of application. So much new things to try and learn in perspective 😄 It was a great conference and I'm looking forward to next year's edition!
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This interview at PyData Paris is with Julien Jerphanion from QuantStack , Mamba developer (v2.0 was just released) and contributor to other libraries in the Python world such as SciPy. "It's a release for software, it's a release for the mind as well" — enjoy this conversation with one of many out there shouldering the weight of OS maintenance ...