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SUMMARY:Keynote- Jeremiah Lowin- Build Reasonable Software - Jeremiah Lowi
 n
DTSTART;TZID=Europe/London:20260606T133500
DTEND;TZID=Europe/London:20260606T142000
DTSTAMP:20260812T142729Z
UID:pretalx-pydata-london-2026-QU33NS@pretalx.com
DESCRIPTION:Python became the language of data science because it made har
 d work feel possible. It gave scientists\, analysts\, engineers\, and rese
 archers a shared way to express ideas without forcing them to become softw
 are specialists first. The result was a style of software that made powerf
 ul systems easier to learn\, easier to combine\, and easier to trust.\n\nI
 n this keynote\, Jeremiah Lowin explores what it means for software to be 
 Pythonic: simple\, composable\, readable\, and easy to reason about. Those
  qualities helped Python become the default language for data science\, an
 d they matter even more now that software is beginning to build software.\
 n\nThe next generation of agentic systems will be judged by whether people
  can understand them\, change them\, and trust them. This talk argues that
  the lesson of PyData is also the challenge for AI: build systems that rem
 ain easy to reason about as they become more powerful\, and use emerging i
 nterfaces like MCP to make data easier to communicate\, explore\, and act 
 on.
LOCATION:Grand Hall 1
URL:https://pretalx.com/pydata-london-2026/talk/QU33NS/
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