Version 0.9 Oct. 16, 2024

We released a new schedule version!

We have a new session: “Lab Automation with Python” by Jürg Rast .

We sadly had to cancel a session: “Leveraging Pydantic for Data Validation” by Suma Mandalreddy

We have moved a session around: “Property based testing with Hypothesis” by Florian Bruhin (Oct. 17, 2024, 3:40 p.m. → Oct. 17, 2024, 2:25 p.m.)

Version 0.8 Oct. 14, 2024

We released a new schedule version!

Version 0.7 Oct. 14, 2024

We released a new schedule version!

We have new sessions!

• “Welcome” by Orga
• “Welcome” by Orga
• “Closing” by Orga
• “Closing” by Orga

Version 0.6 Oct. 10, 2024

We released a new schedule version!

We have a new session: “Property based testing with Hypothesis” by Florian Bruhin .

We sadly had to cancel a session: “Make Testing Great Again” by Aur Saraf

Version 0.5 Oct. 1, 2024

We released a new schedule version!

We have new sessions!

• “Artificial Intelligence: Why Explanations Matter” by Albert Weichselbraun
• “Empowering Independence: Robot-Assisted Shopping for the Visually Impaired with Product Recognition” by Chantal Keller

Version 0.4 Sept. 2, 2024

We released a new schedule version!

We have new sessions!

• “Code Makeover: Mastering the Art of Python Refactoring” by Bojan Miletic
• “Demystifying Spark: A Deep Dive into Its Workings” by Neil Gibbons

Version 0.3 Sept. 1, 2024

We released a new schedule version!

We have new sessions!

• “Lightning Talks, Day 2” by Orga
• “Make Testing Great Again” by Aur Saraf
• “Parallel Python at last? Subinterpreters & free-threading in practice” by Vita Midori
• “Lightning Talks, Day 1” by Orga

We have moved a session around: “Leveraging Pydantic for Data Validation” by Suma Mandalreddy (Oct. 17, 2024, 2:20 p.m. → Oct. 17, 2024, 2:25 p.m.)

Version 0.2 Aug. 23, 2024

We released a new schedule version!

We have new sessions!

• “Quantum Machine Learning: Qiskit 1.X vs PennyLane 0.X” by Pavel Sulimov
• “More Than Pixels - Unlock your image data with Vision-Language Models” by Johannes Kolbe
• “Automate your network in 5 easy steps with Python and Netmiko” by Luca Gubler
• “Leveraging Pydantic for Data Validation” by Suma Mandalreddy
• “The hitchhiker's guide to asyncio” by Emanuele Fabbiani
• “Prototype to Production for RAG applications” by Isaac Chung
• “From SHAP to EBM: Explain your Gradient Boosting Models in Python” by Emanuele Fabbiani
• “Learning From Experiments With Causal Machine Learning” by Kevin Klein, Francesc Martí Escofet
• “Float - Everything You Wanted to Know About” by Konrad Gawda
• “Even if we desperatly want to, we do not always need Deep Learning” by Jan Werth, Christopher Wetekamp

Version 0.1-pre Aug. 14, 2024

We released our first schedule!