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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20261022T181123Z
UID:KlPU1w
DTSTART:20261115T160000
DTEND:20261115T200000
CLASS:PUBLIC
CREATED:20260708T170949
DESCRIPTION: Version 1.0.0 of data.table was released in 2006. \n\n In the 
 20 years since then\, it has grown to one of the most widely-used and infl
 uential packages in R history. With hundreds of contributors\, thousands o
 f reverse dependencies\, and millions of CRAN downloads a year\, anyone wh
 o has used R in the past two decades is guaranteed to have been helped by 
 data.table. \n\n Join us in celebrating the 20th anniversary of this iconi
 c package with a global remote event - featuring tutorials and talks by de
 velopers and users as well as fun games and freebie giveaways. \n
LAST-MODIFIED:20261016T171639
LOCATION:Virtual
ORGANIZER:mailto:r.data.table@gmail.com
SUMMARY:20 Years of data.table
URL;VALUE=URI:https://ti.to/nf-projects/data-table
URL;VALUE=URI:https://ti.to/nf-projects/data-table
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20261022T181123Z
UID:KlPU1w1101216
DTSTART:20261115T160000
DTEND:20261115T170000
CLASS:PUBLIC
CREATED:20260708T180823
DESCRIPTION:Have you always been curious about data.table\, but not taken t
 hose first steps to incorporate it in your workflow? This tutorial will he
 lp you get off the ground!\n\nPerhaps you are a newer R user\, wondering h
 ow data.table can help you. Perhaps you are an advanced user who is embedd
 ed in the tidyverse framework\, wondering if there is a smooth way to incl
 ude data.table in your workflow.\n\nThis one-hour interactive tutorial wil
 l take you through the process of identifying slowdowns in a data analysis
 \, and using data.table + dtplyr to speed up your code.
LAST-MODIFIED:20261016T171412
ORGANIZER:mailto:r.data.table@gmail.com
SUMMARY:[20 Years of data.table] Tutorial: Getting started with data.table
URL;VALUE=URI:https://ti.to/nf-projects/data-table
X-ALT-DESC;FMTTYPE=text/html:Have you always been curious about data.table\
 , but not taken those first steps to incorporate it in your workflow? This
  tutorial will help you get off the ground!\n\nPerhaps you are a newer R u
 ser\, wondering how data.table can help you. Perhaps you are an advanced u
 ser who is embedded in the tidyverse framework\, wondering if there is a s
 mooth way to include data.table in your workflow.\n\nThis one-hour interac
 tive tutorial will take you through the process of identifying slowdowns i
 n a data analysis\, and using data.table + dtplyr to speed up your code.
URL;VALUE=URI:https://ti.to/nf-projects/data-table
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20261022T181123Z
UID:KlPU1w1101217
DTSTART:20261115T160000
DTEND:20261115T170000
CLASS:PUBLIC
CREATED:20260708T180933
DESCRIPTION:This one-hour tutorial is designed to take existing data.table 
 users to the next level. You will learn some tips\, tricks\, and advanced 
 strategies to make data.table do even more for your data.\n\nThis tutorial
  is lead by David Shilane\, author of the upcoming textbook Mastering data
 .table in R.
LAST-MODIFIED:20261016T171422
ORGANIZER:mailto:r.data.table@gmail.com
SUMMARY:[20 Years of data.table] Tutorial: Next level tips and tricks with 
 data.table
URL;VALUE=URI:https://ti.to/nf-projects/data-table
X-ALT-DESC;FMTTYPE=text/html:This one-hour tutorial is designed to take exi
 sting data.table users to the next level. You will learn some tips\, trick
 s\, and advanced strategies to make data.table do even more for your data.
 \n\nThis tutorial is lead by David Shilane\, author of the upcoming textbo
 ok Mastering data.table in R.
URL;VALUE=URI:https://ti.to/nf-projects/data-table
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20261022T181123Z
UID:KlPU1w1101224
DTSTART:20261115T170000
DTEND:20261115T200000
CLASS:PUBLIC
CREATED:20260708T184355
DESCRIPTION:The main event—featuring talks from the biggest names in data
 .table\, fun social activities\, and giveaways. Talks include:\n\n**“An 
 NSF Grant for data.table”**\n*Toby Hocking\, developer*\n\n**“Rolling 
 Statistics”**\n*Jan Gorecki\, developer*\n\n**“A Recap of Initial Unde
 rgraduate Reflections on Using data.table for Data Analysis”**\n*Erin Fa
 nke and Sara Colando\, educators*\n\n**“Advanced file reading applicatio
 ns with data.table”**\n*David Shilane\, author*\n\n**“APIpocalypse”*
 *\n*Ivan Krylov\, developer*\n\n**“The Past\, Present\, and Future of da
 ta.table”**\n*Tyson Barrett\, maintainer*
LAST-MODIFIED:20261016T171639
ORGANIZER:mailto:r.data.table@gmail.com
SUMMARY:[20 Years of data.table] 20 Years of data.table
URL;VALUE=URI:https://ti.to/nf-projects/data-table
X-ALT-DESC;FMTTYPE=text/html:The main event—featuring talks from the bigg
 est names in data.table\, fun social activities\, and giveaways. Talks inc
 lude:\n\n**“An NSF Grant for data.table”**\n*Toby Hocking\, developer*
 \n\n**“Rolling Statistics”**\n*Jan Gorecki\, developer*\n\n**“A Reca
 p of Initial Undergraduate Reflections on Using data.table for Data Analys
 is”**\n*Erin Fanke and Sara Colando\, educators*\n\n**“Advanced file r
 eading applications with data.table”**\n*David Shilane\, author*\n\n**
 “APIpocalypse”**\n*Ivan Krylov\, developer*\n\n**“The Past\, Present
 \, and Future of data.table”**\n*Tyson Barrett\, maintainer*
URL;VALUE=URI:https://ti.to/nf-projects/data-table
END:VEVENT
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