About this Event
Lead Instructors: Adam Taranto (The Research Computing Platform, WEHI)
In this workshop, we will learn the basics of the Python programming language and how it can be applied to scientific data analysis. We will be using the Jupyter Interface and learn about data types, variables, and the basics of loading and visualizing data.
This workshop is based on the “Software Carpentry Python” lesson. Setup instructions are here: https://swcarpentry.github.io/python-novice-inflammation/#overview . If there are issues, we will use a browser-based version of Jupyter.
Please note, $25 booking fee is fully refunded upon workshop attendance.
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Workshop Registration Cancellation Policy
To secure your spot in a workshop, we require a nominal fee, which will be fully refunded upon your attendance at the workshop. This policy helps ensure commitment and allows us to manage resources effectively.
Cancellations Made in Advance: If you need to cancel your registration, you must notify us at least 72 hours before the workshop start time. In such cases, the nominal fee will be fully refunded. Refunds will happen within one week of the event.
No-Show Policy: If you do not attend the workshop and have not cancelled in advance, the nominal fee will be retained and will not be refunded.
Late Cancellations: Cancellations made less than 72 hours before the workshop will be treated as a no-show, and the nominal fee will not be refunded.
Illness or Exceptional Circumstances: Cancellations due to illness or exceptional circumstances will be considered on a case-by-case basis, and refunds will be provided at MIG's discretion.
This policy ensures fairness to all participants and helps us plan workshops efficiently. Thank you for your understanding.
If you have any questions or need assistance with your registration, please contact us at
Event Venue & Nearby Stays
University of Melbourne Building 184, University of Melbourne Building 184, Parkville, Australia
AUD 27.78
