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BEGIN:VEVENT
DTSTART:20241001T170000Z
DTEND:20241001T180000Z
DTSTAMP:20241001T000000Z
SUMMARY:Python Crash Courses: Intro to Python
DESCRIPTION:This workshop is being offered remotely via Zoom only. 
 Registrants will receive a Zoom link\; those on the waitlist will not 
 receive a Zoom link unless they are bumped up to a registered spot. The day 
 after the workshop\, registrants and those on the waitlist will receive a 
 link to the workshop recording.\n\nThe Python Crash Courses workshop series 
 has two components: Introduction to Python and Intro to Data. The entire 
 series uses the Anaconda distribution of Python. Those interested in 
 attending all of the Python Crash Courses should register for both Intro to 
 Python and Intro to Data.  \n\nThe Introduction to Python workshop 
 introduces basic concepts in the Python programming language such as object 
 types\, base Python data structures\, file paths\, and flow control (if 
 statements & for-loops) using the Anaconda distribution of Python. We'll 
 work through some applied examples. \n\nThis introduction is appropriate 
 for absolute beginners or those interested in a review. After attending 
 Introduction to Python\, beginners can continue with Intro to Data\, which 
 introduces fundamental tools for working with tabular data in Python such 
 as Jupyter Notebooks\, markdown\, Pandas\, and data visualization packages. 
  \n\nThose with a good understanding of Python fundamentals may want to 
 skip the Basics and take only Intro to Data.\n\nThis workshop is offered by 
 University Libraries and will be led by librarians Phil McDaniel\, Lorin 
 Bruckner\, Michele Hayslett\, Matt Jansen\, and Rolando Rodriguez along 
 with Mark Reed from ITS Research Computing. Contact Matt Jansen with any 
 questions.\n
LOCATION:Library Data Services
ORGANIZER;CN="Library Data Services":MAILTO:library-data-services@unc.edu
CATEGORIES:Classes and Workshops
CONTACT;CN="Library Data Services":MAILTO:library-data-services@unc.edu
STATUS:CONFIRMED
UID:LibCal-12899199
URL:https://calendar.lib.unc.edu/event/12899199
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TRIGGER:-PT15M
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END:VEVENT
BEGIN:VEVENT
DTSTART:20241008T170000Z
DTEND:20241008T180000Z
DTSTAMP:20241008T000000Z
SUMMARY:Python Crash Courses: Intro to Python
DESCRIPTION:This workshop is being offered remotely via Zoom only. 
 Registrants will receive a Zoom link\; those on the waitlist will not 
 receive a Zoom link unless they are bumped up to a registered spot. The day 
 after the workshop\, registrants and those on the waitlist will receive a 
 link to the workshop recording.\n\nThe Python Crash Courses workshop series 
 has two components: Introduction to Python and Intro to Data. The entire 
 series uses the Anaconda distribution of Python. Those interested in 
 attending all of the Python Crash Courses should register for both Intro to 
 Python and Intro to Data.  \n\nThe Introduction to Python workshop 
 introduces basic concepts in the Python programming language such as object 
 types\, base Python data structures\, file paths\, and flow control (if 
 statements & for-loops) using the Anaconda distribution of Python. We'll 
 work through some applied examples. \n\nThis introduction is appropriate 
 for absolute beginners or those interested in a review. After attending 
 Introduction to Python\, beginners can continue with Intro to Data\, which 
 introduces fundamental tools for working with tabular data in Python such 
 as Jupyter Notebooks\, markdown\, Pandas\, and data visualization packages. 
  \n\nThose with a good understanding of Python fundamentals may want to 
 skip the Basics and take only Intro to Data.\n\nThis workshop is offered by 
 University Libraries and will be led by librarians Phil McDaniel\, Lorin 
 Bruckner\, Michele Hayslett\, Matt Jansen\, and Rolando Rodriguez along 
 with Mark Reed from ITS Research Computing. Contact Matt Jansen with any 
 questions.\n
LOCATION:Library Data Services
ORGANIZER;CN="Library Data Services":MAILTO:library-data-services@unc.edu
CATEGORIES:Classes and Workshops
CONTACT;CN="Library Data Services":MAILTO:library-data-services@unc.edu
STATUS:CONFIRMED
UID:LibCal-12899200
URL:https://calendar.lib.unc.edu/event/12899200
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