BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pycon-lithuania-2024//speaker//RQWR8S
BEGIN:VTIMEZONE
TZID:Europe/Vilnius
BEGIN:DAYLIGHT
DTSTART:20230406T000000
TZNAME:EEST
TZOFFSETFROM:+0300
TZOFFSETTO:+0300
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20231029T040000
RDATE:20241027T040000
TZNAME:EET
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20240331T040000
RDATE:20250330T040000
TZNAME:EEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Streaming DataFrames: A New Way to Process Streaming Data in Pytho
 n - Tomáš Neubauer
DTSTART;TZID=Europe/Vilnius:20240405T120000
DTEND;TZID=Europe/Vilnius:20240405T122500
DTSTAMP:20260911T192541Z
UID:pretalx-pycon-lithuania-2024-PUMWPA@pretalx.com
DESCRIPTION:Introducing an open source library in Python: Quix Streams. It
  solves all the complexities of stream processing in a cloud native packag
 e with a familiar Pandas DataFrame API interface. This library lets you wo
 rk with data like they are static in your Jupyter Notebook without any has
 sle associated with streaming technologies. Our mission is to bring masses
  of Python developers into streaming and make the journey as smooth as pos
 sible so real-time applications using ML are not so difficult
LOCATION:Room 111
URL:https://pretalx.com/pycon-lithuania-2024/talk/PUMWPA/
END:VEVENT
END:VCALENDAR