BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pyconde-pydata-2026//speaker//CVFFNV
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-pyconde-pydata-2026-3U3BZH@pretalx.com
DTSTART;TZID=CET:20260416T101500
DTEND;TZID=CET:20260416T104500
DESCRIPTION:Python is the standard solution for many machine learning and d
 ata science applications\,\nfrom large cloud systems\, to workstations\, a
 nd even on larger embedded or robotics systems.\nBut as we move down into 
 more constrained environments regular (C)Python starts to be a less good f
 it.\nThe MicroPython project provides a Python implementation that is tail
 ored for such environments\,\nand this makes it possible scale down to mic
 rocontrollers with just a few megabytes of RAM (or less!).\nAs a bonus\, M
 icroPython with WebAssembly also makes lightweight browser applications po
 ssible.\nIn this talk\, we will discuss how to combine Internet of Things 
 (IoT) hardware\, MicroPython and browser to build stand-alone smart sensor
  systems and laboratory gear for physical data science.
DTSTAMP:20260412T141833Z
LOCATION:Helium [3rd Floor]
SUMMARY:Embedding Data Science in IoT devices with MicroPython and emlearn 
 - Jon Nordby
URL:https://pretalx.com/pyconde-pydata-2026/talk/3U3BZH/
END:VEVENT
END:VCALENDAR