Reproducible Research with Jupyter Notebook Online
This workshop is CANCELLED.
If you need help with Jupyter Notebooks or Computational reproducibility, pleaes join our Slack channel and drop by our virtual office hours Wednesdays 1-3 pm.
Beginning with a short slides presentation on the principles and best practices of computational reproducibility, followed by a hands-on live-coding session, the workshop teaches how to use Jupyter Notebook and Python libraries to clean and explore tabular data and make simple figures. During the hands-on session, students not only get familiar with the Jupyter Notebook environment, but also practice the principles of computational reproducibility in action. Prior experience with Python is helpful but not required.
- Thursday, March 11, 2021
- 12:00pm - 1:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Virtual Workshop
- This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Online Workshop Information:
- The link to join this event will be found in your confirmation and reminder emails.
- Please join a few minutes early to ensure that your audio setup is working correctly
- All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.
Hannah Gunderman (any pronouns) is the Data, Gaming, and Popular Culture Librarian at Carnegie Mellon University Libraries, providing data and data management support and education for students, staff, and faculty in all areas of study, from fine arts to STEM, with a particular affinity for data used in gaming and popular culture research.