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Reproducible Plotting with Python in Jupyter Notebook Online

Beginning with a short presentation on the principles of computational reproducibility in supporting open science and research transparency, followed by a hands-on live-coding session, the workshop teaches how to use Python libraries and Jupyter Notebook to make reproducible and aesthetically pleasing figures. Participants will be expected to have access to Jupyter Notebook on their computers in order to follow along. Prior experience with Python is helpful, but not required. 

Date:
Tuesday, February 22, 2022
Time:
10:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Categories:
  Open Science     Working With Data and Code  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Registration has closed.

Virtual Workshop Information:

  • The link to join this event will be found in your reminder email 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
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If you require accessibility accommodations, please contact the workshop instructor.

Organizer(s)