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UID:pretalx-pydata-london-2026-QU33NS@pretalx.com
DTSTART;TZID=GMT:20260606T133500
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DESCRIPTION:Python became the language of data science because it made hard
  work feel possible. It gave scientists\, analysts\, engineers\, and resea
 rchers a shared way to express ideas without forcing them to become softwa
 re specialists first. The result was a style of software that made powerfu
 l systems easier to learn\, easier to combine\, and easier to trust.\n\nIn
  this keynote\, Jeremiah Lowin explores what it means for software to be P
 ythonic: simple\, composable\, readable\, and easy to reason about. Those 
 qualities helped Python become the default language for data science\, and
  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 rema
 in easy to reason about as they become more powerful\, and use emerging in
 terfaces like MCP to make data easier to communicate\, explore\, and act o
 n.
DTSTAMP:20260602T223432Z
LOCATION:Grand Hall 1
SUMMARY:Keynote- Jeremiah Lowin- Build Reasonable Software - Jeremiah Lowin
URL:https://pretalx.com/pydata-london-2026/talk/QU33NS/
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