CANCELED: Research Computing and Data Workshop Series - Carpentries: Programming and Plotting with Python

Tuesday, October 4, 2022 3 p.m. to 5 p.m.
This event has been canceled. Call or email the event's contact listed below for more information.

This is an introduction to programming in Python for people with little or no previous programming experience. It uses plotting as its motivating example. This lesson references JupyterLab, but can also be followed using a regular Python interpreter as well. This lesson uses Python 3.

Registration for this workshop will close at 12PM on October 4th.

This workshop is being presented in hybrid format. You may choose to attend in-person or virtually via Zoom/Microsoft Teams. There is limited seating available for in-person attendance.

Presenters: 

Fahad Khan

Registration link: 
https://ucf.qualtrics.com/jfe/form/SV_85OiBgbxRdS9Sxo

Registration for this workshop will close at 12PM on October 4th.

Research Computing and Data Workshops Series

We are pleased to bring to the UCF Research community a series of workshops on scientific computing and research data management. These workshops are being jointly presented by UCF LibrariesUCF Graduate and Research IT, and UCF Advanced Research Computing Center (ARCC) and will feature some guest speakers from the broader research community. This series also includes Software and Data Carpentries workshops (http://carpentries.org) which have been made possible through the sponsorship of Dr. Elizabeth Klonoff, Vice President for Research and Dean, College of Graduate Studies.

Upcoming Workshops

For the complete line-up of upcoming Research Computing and Data Workshops, please visit: https://rci.research.ucf.edu/workshops/2022/fall/

Read More

Locations:

Research 1: 101 [ View Website ]

Event Registration

Registration is required for this event. Registration for this workshop will close at 12PM on October 4th.

Register Now

Contact:


Calendar:

kaido

Category:

Workshop/Conference

Tags:

research computing research data management