Aug 22
10:00 am - 1:00 pm CT
Instructors: Mariah A. Knowles
Helpers: Chris Endemann, Erwin Lares, Sarah Stevens
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Designed for researchers and data enthusiasts, this lesson will cover the fundamentals of the Julia programming language, emphasizing its high-performance capabilities and ease of use for scientific computing. Participants will gain hands-on experience through guided exercises, preparing them to leverage Julia for their data analysis and computational tasks. Please check the lesson homepage for an overview of the topics covered.
Where: Orchard View Room, 330 N Orchard St, Madison, WI 53715. Get directions with OpenStreetMap or Google Maps.
When: Aug 22; 10:00 am - 1:00 pm CT Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Contact: Please email facilitator@datascience.wisc.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
To participate in the workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
Please check the "Setup" page of the lesson homepage for instructions to follow to obtain the software and data you will need to follow the lesson. Be sure to check your setup prior to the workshop — the earlier the better. If you need any assistance, please visit the Data Science Hub at Coding Meetup on Tue/Thur, 2:30-4:30pm.”