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DTSTART:20260325T200000Z
DTEND:20260325T210000Z
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SUMMARY:Python Basics (3 of 5): Foundations of Data Manipulation
DESCRIPTION:\nPython Basics for Data Analysis Series\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\nFoundations of Data Manipulation (workshop 3 of 
 5): This session will explore the variety of ways that data can be filtered 
 and subset in Python. Working with data frames\, vectors\, and lists\, 
 participants will learn the nuances of subsetting and filtering data. 
 Topics covered include selecting specific observations\, filtering based on 
 conditions\, and extracting variables and values.\n\nBy the end of this 
 session\, participants will be proficient in extracting observations\, 
 variables\, and values from their data and be aware of when attributes of 
 the extracted data will be lost or maintained for further 
 analysis.\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-3973395
URL:https://libcal.library.ubc.ca/event/3973395
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