BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//euroscipy-2026//speaker//FFGWSW
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-euroscipy-2026-JUEQLF@pretalx.com
DTSTART;TZID=CET:20260720T152000
DTEND;TZID=CET:20260720T155000
DESCRIPTION:Scaling data science pipelines in research and industry poses w
 ell-known maintainability challenges. Research codebases must support rapi
 d iteration as insights evolve\, while industry systems must scale amid ch
 anging business needs and organizational complexity. Effective projects sh
 ould remain maintainable without sacrificing time-to-market. Ideally\, evo
 lving from a notebook experiment to a production-grade application should 
 feel natural\, with minimal overhead.\n\nIn this talk\, we present our jou
 rney developing Ordeq\, an open-source Python library for building maintai
 nable data pipelines used by data scientists\, analysts\, and engineers at
  ING. Ordeq bridges exploratory research and production systems without fo
 rcing practitioners to abandon familiar workflows.\n\nWe show how data sci
 ence projects benefit from established software engineering principles\, p
 articularly those inspired by functional programming. By embedding composi
 tion\, side-effect isolation\, and separation of concerns from the outset\
 , teams can significantly improve reproducibility\, testability\, and refa
 ctorability without introducing heavy framework complexity.\n\nAttendees w
 ill leave with practical design principles for structuring data projects t
 hat scale naturally from prototype to production\, regardless of whether t
 hey adopt Ordeq itself.
DTSTAMP:20260603T185654Z
LOCATION:Room 2.41 (First Floor\, Turing)
SUMMARY:From prototype to production: scaling data science projects natural
 ly in research and industry - Niels Neerhoff & Simon Brugman\, Simon
URL:https://pretalx.com/euroscipy-2026/talk/JUEQLF/
END:VEVENT
END:VCALENDAR