What we're about

Welcome to PyData Frankfurt!

PyData is all about fostering data science and open source. There are more than 100 PyData meetups worldwide and major PyData conferences e.g. in Berlin, Los Angeles, London, New York, Dehli or Amsterdam. https://pydata.org

We feature local as well as international speakers at our meetups.

Beginners or experts - everyone is welcome at PyData. Speakers wanted!

Please contribute to our community by sharing your wisdom and expertise, even if it’s just a 5 minute lightning talk. Don’t worry if you are a first time speaker - the experienced speakers in our team are happy to coach you. Contact us. (python@koenigsweg.com)

All our meetups will be held English since we are an international community. We are looking forward to seeing you at our next meetup. Please respect that our community forums may not be used for advertisting or recruiting. Community postings are fine - if you are in doubt just contact an organiser. Please feel free to ping us if you have any questions or suggestions. Call for Action: follow up on Twitter.

Twitter: https://twitter.com/PyDataFFM

Telegram: click here (https://t.me/joinchat/CeKOXBACWgvtkjpz8z7hQA)

See you soon

Team PyData Frankfurt

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.The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) (http://pydata.org/code-of-conduct.html)gove) gove... (http://pydata.org/code-of-conduct.html) (http://pydata.org/code-of-conduct.html)governs)governs) this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org ) or the group organizer.We run meetups regularily at changing locations and have organised also the PyConDE & PyData Karlsruhe conference 2017.

Upcoming events (1)

10 Years of Classification of Product Data & Binder: Sharing Jupyter notebooks

Auto Product Classification | Sharing Jupyter with Binder USE CASE: 10 Years of Automated Category Classification for Product Data at billiger.de Johannes Knopp (solute) COLLABORATION: Sharing Jupyter notebooks with Binder Tim Head (Binderprject) ---- 17:30 – Doors open & Networking 18:00 – Welcome / Opening 18:10 – 10 Years of Automated Category Classification for Product Data at billiger.de 19:00 – Break with refreshments 19:45 – Sharing Jupyter notebooks with Binder 20:15 – Lightning Talks 20:30 – Networking 21:15 – End Lightning talks welcome: ping [masked]. Thanks a lot, to the speakers, KÖNIGSWEG for organizing and KPMG AG Wirtschaftsprüfungsgesellschaft for hosting this PyData Frankfurt. This event will be in English. Questions? [masked] or Telegram https://t.me/joinchat/CeKOXBACWgvtkjpz8z7hQA ---- Johannes Knopp: 10 Years of Automated Category Classification for Product Data at billiger.de 10 years ago we built a classifier for categorizing product data. Let's take a journey through the lessons we learned over the years about building, maintaining, and modernizing the category classifier. Being in the price comparison business, solute's mission is to make sense of product data. Crucial to fulfilling that mission is figuring out the category of each offer. We tackle this problem with Machine Learning algorithms for over 10(!) years now. We want to invite you to a journey through our history of building, maintaining, and modernizing our category classification system. Starting from back in the days where people used blackberry phones and scikit-learn wasn't even invented yet. You will learn about the rise of our SVM classifier, well motivated decisions leading to a successful system that just needed some tweaking over the years — until this approach didn't suffice any more. We will share our most interesting mistakes, misconceptions and design flaws and how we moved forward with our rework of the solute Machine Learning infrastructure and the introduction of a Neural Network based category classifier. No previous knowledge of Machine Learning algorithms is required. Johannes Knopp studied Natural Language Processing and Computer Science, worked some years at a university. After that he ended up being a software developer in Karlsruhe at solute GmbH where he can play around with millions of product data every day and try to make sense of it. He likes podcasts, board games and word plays. ---- Tim Head: Sharing Jupyter notebooks with Binder Tim Head is one of the core developers of Binder. He is a known good actor in the Python data ecosystem and has contributed to the development of Project Jupyter and other PyData projects for several years. He has extensive experience using and developing Python and C++ for data science applications, is one of the maintainers of scikit-optimize, a Python library for blackbox optimization, and has contributed to scikit-learn. Tim has given many talks at small and large international conferences like PyCon and EuroSciPy and co-organizes the PyData meetup in Zurich. He holds a PhD in experimental particle physics from the University of Manchester. ---

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