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PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260617T095639EDT-5189Jwv0JP@132.216.98.100
DTSTAMP:20260617T135639Z
DESCRIPTION:***Registration Closed***MyInvolvement pages are for in-person 
 attendees only. To register for the online session\, please use the Micros
 oft Forms link:Participants that are not part of the 91ºÚÁÏÍø Community are 
 also invited to register with the Microsoft Forms link.In this 2-hour work
 shop\, students will learn basic data processing skills using Python. Atte
 ndees will learn how to import code from other modules and packages to tak
 e advantage of the existing Python ecosystem. After seeing how to access p
 ackages\, we will explore popular data analysis packages. We will see how 
 to use NumPy to perform operations on large data arrays and how to use Mat
 plotlib to generate clear data visualisations. Finally\, we will discuss h
 ow 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 91ºÚÁÏÍø 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:20260618T170000Z
DTEND:20260618T190000Z
LOCATION:CA\, Montreal\, Sherbrooke 550\, Room 189\, 550 R. Sherbrooke E
SUMMARY:Data Processing in Python
URL:/science/channels/event/data-processing-python-373
 273
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