BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//euroscipy-2025//speaker//WFFNSW
BEGIN:VTIMEZONE
TZID:Europe/Warsaw
BEGIN:DAYLIGHT
DTSTART:20240818T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241027T030000
RDATE:20251026T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250330T030000
RDATE:20260329T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Compress\, Compute\, and Conquer: Python-Blosc2 for Efficient Data
  Analysis - Francesc Alted\, Luke Shaw
DTSTART;TZID=Europe/Warsaw:20250818T153000
DTEND;TZID=Europe/Warsaw:20250818T170000
DTSTAMP:20260913T120905Z
UID:pretalx-euroscipy-2025-FPYRSB@pretalx.com
DESCRIPTION:Have you ever experienced the frustration of not being able to
  analyze a dataset because it's too large to fit in memory? Or perhaps you
 've encountered the memory wall\, where computation is hindered by slow me
 mory access? In this hands-on tutorial\, you'll learn how to overcome thes
 e common challenges using Python-Blosc2.\n\nPython-Blosc2 (https://www.blo
 sc.org/python-blosc2/) is a high-performance\, multi-threaded\, multi-code
 c array container\, with an integrated compute engine that allows you to c
 ompress *and compute* on large datasets efficiently. You'll gain practical
  experience with Python-Blosc2's latest features\, including its seamless 
 integration with NumPy and the broader Python data ecosystem. Through guid
 ed exercises\, you'll discover how to tackle data challenges that exceed y
 our available RAM while maintaining high performance.\n\nBy the end of thi
 s tutorial\, you'll be able to implement Python-Blosc2 in your own workflo
 ws\, dramatically increasing your ability to process large datasets on sta
 ndard hardware. Participants should have basic familiarity with NumPy and 
 Python data processing.
LOCATION:Room 1.38 (Ground Floor)
URL:https://pretalx.com/euroscipy-2025/talk/FPYRSB/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Python-Blosc2: Compress Better\, Compute Bigger! - Francesc Alted
 \, Luke Shaw
DTSTART;TZID=Europe/Warsaw:20250821T144000
DTEND;TZID=Europe/Warsaw:20250821T150000
DTSTAMP:20260913T120905Z
UID:pretalx-euroscipy-2025-TP8ZB7@pretalx.com
DESCRIPTION:Have you ever experienced the frustration of not being able to
  analyze a dataset because it's too large to fit in memory? Or perhaps you
 've encountered the memory wall\, where computation is hindered by slow me
 mory access? These are common challenges in data science and high-performa
 nce computing.\n\nPython-Blosc2 (https://www.blosc.org/python-blosc2/) is 
 a high-performance\, multi-threaded\, multi-codec array container\, with a
 n integrated compute engine that allows you to compress *and compute* on l
 arge datasets efficiently. In this talk\, we will explore the latest featu
 res of Python-Blosc2\, including its seamless integration with NumPy\, and
  the Python Data ecosystem in general\, and how it can help you tackle dat
 a challenges that exceed the limits of your available RAM\, all while main
 taining high performance.
LOCATION:Room 1.38 (Ground Floor)
URL:https://pretalx.com/euroscipy-2025/talk/TP8ZB7/
END:VEVENT
END:VCALENDAR