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DTSTART:20260312T180000Z
DTEND:20260312T190000Z
DTSTAMP:20260312T000000Z
SUMMARY:Python Basics (1 of 5): Getting Started with Python and Jupyter Notebooks
DESCRIPTION:\nPython Basics for Data Analysis\n\nThis series of 
 introductory workshops are intended for individuals with little to no 
 familiarity with Python or similar tools that rely on a scripted 
 environment. They are intended as a low barrier entry into the world of 
 research computing through the Python language.\n\n\n\n\n\n\n\n\nGetting 
 Started with Python and Jupyter Notebooks (workshop 1 of 5): This session 
 will introduce participants to fundamental computation concepts in Python\, 
 laying the foundation for more advanced topics. Topics covered include the 
 application of simple math\, data types and structures (using the pandas 
 library). Additionally\, an overview of vector operations\, and how to 
 navigate getting help will be covered. The workshop will be run using 
 Jupyter Notebooks.\n\nBy the end of the session\, participants should feel 
 familiar with Jupyter Notebook as an environment for interactive analysis 
 in Python\, be able to identify and articulate use cases for common data 
 structures\, and know a few key ways to get 
 help.\n\n\n\n\n\n\n\n\n\nQuestions? Please reach out to the Centre for 
 Scholarly Communication at csc.ok@ubc.ca.\n\nA full schedule of workshops 
 can be found at csc.ok.ubc.ca/workshops/
LOCATION:LIB 111\, Okanagan - Centre for Scholarly Communication 
ORGANIZER;CN="Centre for Scholarly Communication (CSC)":MAILTO:csc.ok@ubc.ca
CATEGORIES:Data
CONTACT;CN="Centre for Scholarly Communication (CSC)":MAILTO:csc.ok@ubc.ca
STATUS:CONFIRMED
UID:LibCal-3973393
URL:https://libcal.library.ubc.ca/event/3973393
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