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DTSTART:20260219T180000Z
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SUMMARY:Introduction to Python Two Day Intensive
DESCRIPTION:This two day intensive workshop is an introduction to Python 
 programming\, with a focus on skills that are relevant to students and 
 researchers who are working with data\, particularly tabular data.\n\nWhen: 
 February 19th and 20th\, 10am - 12pm and 1pm-4pm\nWhere: Online synchronous 
 over Zoom or in the Presentation Room\, r. 548 and 552\, Koerner Library 
 (participants can choose whether to attend in person or virtually).\n\nThe 
 five sections cover the following:\n\n\n	Part 1: To understand the basics 
 of Python syntax\, variables\, and data types.\n	Part 2: To learn how to 
 work with tabular data in Python\, including reading\, manipulating\, and 
 visualizing data.\n	Part 3: To learn how to automate tasks in Python\, 
 including working with multiple files.\n	Part 4: To learn to use logic and 
 modularity to make Python code flexible and reusable.\n	Part 5: To develop 
 good habits for programming for research in Python\, including handling 
 errors\, debugging\, and writing reliable code.\n\n\nEach workshop day will 
 be broken out into a 2h morning session\, 1h lunch\, and 3h afternoon 
 session. \n\nPrerequisites:\n\nThere are no prerequisites needed for this 
 series\; no prior programming experience is required.\n\nSetup 
 Instructions:\n\nIn these workshops\, we will write Python code in a text 
 editor called Visual Studio Code (VS Code).\n\nPlease follow the following 
 steps/links to complete the setup for this workshop series before you 
 attend:\n\n\n	Install a Python Interpreter\n	Install Visual Studio 
 Code\n	Install the Python extension for VS Code. If you want more info on 
 installing extensions for VS Code\, see this page on their “Extension 
 Marketplace”\n	Install this Python Debugger extension for VS 
 Code\n\n\nNOTE: You may use your own preferred text editor or Jupyter 
 Notebooks to write code in these workshops\, but keep in mind that some 
 aspects may be unpredictably different from the way things appear on the 
 instructor's screen. For example\, the instructor will frequently use the 
 Python Debugger in VS Code\, and other text editors may have entirely 
 different mechanisms for debugging\, and you may have to figure that out on 
 your own. If you want to follow what the instructor is doing exactly\, you 
 should install VS Code and the extensions listed above.\n\nLocation 
 details:\n\n\n	Location:\n	*IN-PERSON or ONLINE* (synchronous)\, 
 participants can choose how to attend\n\n\nIf you have questions\, 
 concerns\, or accessibility needs\, please email 
 digital.scholarship@ubc.ca.\n\nTo keep up-to-date with all our workshops\, 
 consults\, and events\, subscribe to the UBC Library Research Commons 
 monthly newsletter.\n\nThis event is in-person and online (synchronous). 
 Registrants receive the online link 3 hours before the event. Registration 
 closes at that time.
LOCATION:548 and 552 - Presentation Room
ORGANIZER;CN="Eka Grguric":MAILTO:eka.grguric@ubc.ca
CATEGORIES:Digital Scholarship, Research Commons
CONTACT;CN="Eka Grguric":MAILTO:eka.grguric@ubc.ca
STATUS:CONFIRMED
UID:LibCal-3991567
URL:https://libcal.library.ubc.ca/calendar/vancouver/python-intensive-feb2026
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