What we’re about
PyData Prague aims to unite data analysts, engineers, scientists, and others involved in the usage, developments, and support of open source technologies in the area of scientific computation. These include pandas, numpy, IPython, R, matplotlib, Julia, Jupyter, and other related projects.
We ultimately aim to organise meetups as well as conferences, we want to provide a platform for spreading the ideas revolving around open technologies that help us in day to day work, be it commercial, non-profit, or educational.
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If you have any questions, don't hesitate to contact me, Ondrej, at [email protected]. We're open to all sorts of topics, so feel free to suggest what you want to discuss or present yourself.
There's a Czech Python Slack where we have a channel intended for PyData organisational purposes. Ping me an email if you want to be a part of this, we welcome support in all shapes and forms.
In case you want to keep track via Facebook, you can join this group - https://www.facebook.com/groups/pydataprague
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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.
The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) 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 the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS: https://numfocus.typeform.com/to/ynjGdT. Thank you for helping us to maintain a welcoming and friendly PyData community!
Upcoming events (2)
See all- Network event1,556 attendees from 139 groups hostingPyData Global 2024Link visible for attendees
PyData Global 2024 is a 3-day virtual event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other.
During the conference, attendees will have the opportunity to attend live keynote sessions and talks, lightning talks, and get to know fellow members of the PyData Community.
The event will be virtually hosted.
Schedule: https://pydata.org/global2024/schedule
Buy tickets here: https://pydata.org/global2024/tickets
- PyData Prague #24 - The Large, the Weed and the CompliantCreativeDock, Hlavní město Praha
Hello plant developers and language twisters!
The 24th Prague PyData meetup will take place at CreativeDock. As usual, the talks will start at 18:30 but we encourage you to come as soon as 18:00 to enjoy the opportunity to socialise and refresh yourselves (which you can continue doing during the break and after the talks).
Our main goal is to build the community around Python and data and make it welcoming to people of various skills and experience levels.
⚡ If you are interested in giving a lightning talk (up to 5 minutes to present an idea, tool or results related at least to some degree to Python and/or data), please contact us before or during the event.
📢 Processing problematic plants with python
Adam Hruška
Weed detection techniques are essential in modern precision agriculture, where accurately detecting and identifying species can lead to effective crop yields and sustainable resource use. Python has emerged as a powerful tool in this domain, providing versatile libraries and frameworks for data gathering, processing, and model training. By leveraging Python's capabilities, we can efficiently manage large-scale datasets, preprocess images, and potentially automate the annotation process, streamlining the development of machine learning models for weed detection. The integration of computer vision and machine learning tools, including OpenCV, scikit-image, and TensorFlow, serves as a basis for creation of models capable of distinguishing between crops and weed species with high precision. As a result, Python-driven weed detection models offer a promising path toward improved crop health, resource conservation, and sustainable farming practices.📢 Beyond Accuracy: Engineering EU-Compliant LLM Systems
Soheyla Mirshahi, Jan Kryštůfek (CreativeDock)
Building production-ready LLM systems is challenging, but designing solutions that comply with the EU AI Act introduces layers of complexity far beyond prompt engineering and API integration. This talk takes you through the journey of creating a compliant LLM system for one of the most demanding domains: AI-driven recruitment.
We share our journey from a naive PoC to a production ready solution under the AI Act. Through this case study, we will explore:- Compliance-first approach: Designing LLM systems to meet security, legal and ethical standards from the ground up
- Taming LLM in Python: Using prompts, function calls and scoring model to get results in structured and auditable form
- Evaluation: Testing on synthetic data, human evaluation and user feedback
- Numbers: Statictics from production and percieved benefits
Attendees will leave equipped with practical tools, architectural patterns for building LLM systems that meet both engineering and regulatory challenges, supported by real-world example.
The venue will open at 6.00pm but the intro won't take place sooner than at 6:30pm. We should enter via the Expo 58 gallery (in the middle floor of the 3-floor building). There will be food and drinks available, 🤗 sponsors.
Please, RSVP here.
See you soon,
PyData Prague team
