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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Canada/Eastern
BEGIN:DAYLIGHT
DTSTART:20200308T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
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BEGIN:STANDARD
DTSTART:20201101T010000
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BEGIN:VEVENT
DTSTAMP:20210308T162624Z
UID:3AD48113-A7E1-4940-A84E-FA77586AC88B
DTSTART;TZID=Canada/Eastern:20200818T100000
DTEND;TZID=Canada/Eastern:20200818T110000
DESCRIPTION:Pandas is a fast\, powerful\, flexible and easy to use environm
 ent on top of the Python programming language. It is an open-source data a
 nalysis and manipulation tool\, which has made our life easier in the Data
  Science world. If you work or intend to work with data using Python\, you
  need to know pandas\, either for Data Analysis\, Data Science or Machine 
 Learning. In our workshop\, we will provide a hands-on introduction to the
  pandas library and will learn how to use its amazing features to extract\
 , analyze and manipulate our data from different data sources.\n\n(Prerequ
 isite: You need to have basic programming knowledge in Python)\n\nSpeaker(
 s): Rafael Afonso Silva\, \n\nToronto\, Ontario\, Canada\, Virtual: https:
 //events.vtools.ieee.org/m/237002
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.o
 rg/m/237002
ORGANIZER:smreza.dibaj.ca@ieee.org
SEQUENCE:2
SUMMARY:Applied Data Science with pandas
URL;VALUE=URI:https://events.vtools.ieee.org/m/237002
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Pandas is a fast\, powerful\, flexible and
  easy to use environment on top of the Python programming language. It is 
 an open-source data analysis and manipulation tool\, which has made our li
 fe easier in the Data Science world. If you work or intend to work with da
 ta using Python\, you need to know pandas\, either for Data Analysis\, Dat
 a Science or Machine Learning. In our workshop\, we will provide a hands-o
 n introduction to the pandas library and will learn how to use its amazing
  features to extract\, analyze and manipulate our data from different data
  sources.&lt;/p&gt;\n&lt;p&gt;(&lt;strong&gt;Prerequisite:&lt;/strong&gt; You need to have basic p
 rogramming knowledge in Python)&lt;/p&gt;
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