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SUMMARY:From Equations to Applications: AI-Assisted Engineering with Pytho
 n - Jonas Lindemann
DTSTART;TZID=Europe/Stockholm:20261120T143000
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DTSTAMP:20261111T055037Z
UID:pretalx-pycon-sweden-2026-3KCJ98@pretalx.com
DESCRIPTION:Python has made it easy for engineers and scientists to turn e
 quations into computational models. NumPy\, SciPy\, and domain-specific li
 braries such as CALFEM can take us from a mathematical formulation to work
 ing code in very few lines. But turning that model into a usable applicati
 on—with an interface\, visualisation\, documentation\, and reports—has
  traditionally required a much broader set of software-development skills.
 \n\nLarge language models are changing this workflow.\n\nIn this talk I wi
 ll explore an AI-assisted engineering workflow built around a small\, Pyth
 on computational core. Using a structural mechanics example implemented in
  NumPy and CALFEM\, we develop and verify an engineering model and then us
 e an LLM to help create the software surrounding it: user interaction\, vi
 sualisation\, result presentation\, and reporting.\n\nThe interesting ques
 tion is not whether AI can write Python. It clearly can. The question is h
 ow we divide responsibility between the engineer and AI.\n\nI will argue f
 or a simple principle: the engineer owns the model and its validation\; AI
  can help build the application and tools around it.\n\nThis approach has 
 implications not only for engineering software development\, but also for 
 how we teach Python to future engineers and scientists.
LOCATION:Auditorium
URL:https://pretalx.com/pycon-sweden-2026/talk/3KCJ98/
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