BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260420T125042Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10235\n<style type="text/css">p
 .p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Helvetica; color: #00000
 0; -webkit-text-stroke: #000000}\np.p2 {margin: 0.0px 0.0px 0.0px 0.0px; fo
 nt: 11.0px Helvetica; color: #000000; -webkit-text-stroke: #000000; min-hei
 ght: 13.0px}\nli.li1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Helveti
 ca; color: #000000; -webkit-text-stroke: #000000}\nspan.s1 {font-kerning: n
 one}\nspan.s2 {font: 13.2px Helvetica}\nul.ul1 {list-style-type: disc}\n</s
 tyle>\n<p>Jupyter Notebooks are an open-source technology designed to be a 
 virtual version of your paper notebook, but with real computing power embed
 ded within. Jupyter Notebooks allow us to provide rich text descriptions al
 ongside code that can be run within the notebooks themselves.</p>\n<p>This 
 technology has become a favorite of data scientists, due to the support for
  advanced mathematics and the popular Python and R programming languages. W
 e have also found Jupyter Notebooks to be a powerful tool for business rule
 s management, requirements gathering, SQL development, and testing processe
 s.</p>\n<p>Attend this session for an introduction to Jupyter Notebooks and
  related tools, and see how it may help propel your data efforts. This sess
 ion will contain demos and code, but should still be a useful introduction 
 for less technical folks that are interested.</p>\n<p>Key takeaways include
 :</p>\n\n	Introduction to Jupyter Notebooks\n
 How Jupyter Notebooks are developed\n
 Use cases for Jupyter Notebooks in data management\n
 An introduction to using Markdown for documentation\n\n
DTSTART:20190321T083000
SUMMARY:Jupyter Notebooks for the Data Manager
DTEND:20190321T092959
LOCATION: See Description
END:VEVENT
END:VCALENDAR