BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//euroscipy-2024//speaker//TBHK9G
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20230827T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20231029T030000
RDATE:20241027T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20240331T030000
RDATE:20250330T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Image analysis in Python with scikit-image - Deleted User\, Marian
 ne Corvellec\, Stéfan van der Walt
DTSTART;TZID=Europe/Berlin:20240826T160000
DTEND;TZID=Europe/Berlin:20240826T173000
DTSTAMP:20260914T233825Z
UID:pretalx-euroscipy-2024-ZVBAKK@pretalx.com
DESCRIPTION:Scientists are producing more and more images with telescopes
 \, microscopes\, MRI scanners\, etc. They need automatable tools to measur
 e what they've imaged and help them turn these images into knowledge. This
  tutorial covers the fundamentals of algorithmic image analysis\, starting
  with how to think of images as NumPy arrays\, moving on to basic image fi
 ltering\, and finishing with a complete workflow: segmenting a 3D image in
 to regions and making measurements on those regions.
LOCATION:Room 6
URL:https://pretalx.com/euroscipy-2024/talk/ZVBAKK/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Scientific Python - Jarrod Millman\, Stéfan van der Walt
DTSTART;TZID=Europe/Berlin:20240828T111500
DTEND;TZID=Europe/Berlin:20240828T120000
DTSTAMP:20260914T233825Z
UID:pretalx-euroscipy-2024-SYXTMZ@pretalx.com
DESCRIPTION:Learn more about the Scientific Python project (https://scient
 ific.python.org): what it aims to achieve (helping the developer community
 )\, recent progress that has been made\, and how to become involved.
LOCATION:Room 5
URL:https://pretalx.com/euroscipy-2024/talk/SYXTMZ/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dispatching\, Backend Selection\, and Compatibility APIs - Guillau
 me Lemaitre\, Joris Van den Bossche\, Tim Head\, Erik Welch\, Marco Gorell
 i\, Sebastian Berg\, Aditi Juneja\, Stéfan van der Walt
DTSTART;TZID=Europe/Berlin:20240829T132000
DTEND;TZID=Europe/Berlin:20240829T150000
DTSTAMP:20260914T233825Z
UID:pretalx-euroscipy-2024-8MXPRW@pretalx.com
DESCRIPTION:Scientific python libraries struggle with the existence of sev
 eral array and dataframe providers.  Many important libraries currently ma
 inly support NumPy arrays or pandas dataframes.\nHowever\, as library auth
 ors we wish to allow users to smoothly use other array provides and simpli
 fy for example the use of GPUs without the need for explicit use of cuda e
 nabled libraries.\n\nThis session will be split into three related discuss
 ions around efforts to tackle this situation:\n* Dispatching and backend s
 election discussion\n* Array API adoption progress and discussion\n* Dataf
 rame compatibility layer discussion
LOCATION:Room 5
URL:https://pretalx.com/euroscipy-2024/talk/8MXPRW/
END:VEVENT
END:VCALENDAR