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UID:20260611T071814EDT-8478M2blUV@132.216.98.100
DTSTAMP:20260611T111814Z
DESCRIPTION:**Registration Closed***MyInvolvement pages are for in-person a
 ttendees only. To register for the online session\, please use the Microso
 ft Forms link:Participants that are not part of the McGill Community are a
 lso invited to register with the Microsoft Forms link.In this 4-hour works
 hop\, students will learn basic data processing skills using Python. Atten
 dees will learn how to import code from other modules and packages to take
  advantage of the existing Python ecosystem. After seeing how to access pa
 ckages\, we will explore popular data analysis packages. We will see how t
 o use NumPy to perform operations on large data arrays and how to use Matp
 lotlib to generate clear data visualisations. Finally\, we will discuss ho
 w to approach a new\, unfamiliar package and learn how to use it. By the e
 nd of this workshop\, participants will be able to:Import code from existi
 ng modules and packages.Use NumPy to easily process multidimensional data.
 Use Matplotlib to generate different types of plots to visualise data.Appr
 oach a new package and explore its documentation and examples.Pre-requisit
 es:Basic knowledge of Python is required. Attendees should be comfortable 
 with control flow\, basic data types and calling functions. To fully parti
 cipate in the exercises in this workshop\, attendees should have a working
  Python installation and either Jupyter Lab or another IDE that can open J
 upyter notebooks\, such as Microsoft Visual Studio Code. Alternatively\, e
 xamples can be run in Google Colab online (requires a Google account). A l
 ist of packages and installation instructions will be circulated before th
 e workshop to ensure that all attendees have the necessary dependencies.**
 IMPORTANT NOTICE: Attendance for McGill graduate students and postdoctoral
  fellows is subsidized by Graduate and Postdoctoral Studies. All other att
 endees such as undergraduate students\, interns and/or graduate students f
 rom other institutions are required to purchase a ticket to cover organiza
 tional and staffing costs. To complete your registration\, you must e-tran
 sfer $10 (undergraduate student/trainee) $25 (staff) or $100 (faculty) to 
 workshop-micm [at] mcgill.ca within 24 hours of RSVP'ing to this event. If
  we do not receive your e-transfer\, you will have given up your spot.
DTSTART:20251118T170000Z
DTEND:20251118T210000Z
LOCATION:Education Building\, QC\, Canada\, Montreal\, H3A 1Y2\, 3700 rue M
 cTavish
SUMMARY:Data Processing in Python
URL:https://www.mcgill.ca/involvement/channels/event/data-processing-python
 -368578
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