Feb 15-16, 2020
8:30 am - 5:00 pm
Instructors: Drake Asberry, Nathalia Graf Gachet, Uwe Hilgert
Helpers: Matthew Miller, Travis Struck
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
When: Feb 15-16, 2020. 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).
Code of Conduct: 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.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email firstname.lastname@example.org for more information.
Information about the Tucson Rodeo Week 2020
Please be sure to complete these surveys before and after the workshop.
|08:30||Access and navigate the command line / Bash Shell|
|10:45||Manage data with git/GitHub|
|13:00||Automate tasks with shell scripts|
|15:00||Automate tasks with shell scripts, cont.|
|17:00||End of Day|
|08:30||Analyze scientific data with Python and git/GitHub|
|11:00||Analyze scientific data with Python and git/GitHub, cont.|
|13:00||Analyze scientific data with Python and git/GitHub, cont.|
|15:00||Analyze scientific data with Python and git/GitHub, cont.|
|17:00||End of Day|
Schedule subject to change if necessary.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Find, create, copy, move and delete folders and files
Syllabus subject to change if necessary.
To participate in the workshop, you will need an up-to-date web browser and specific software. Please check back here on Feb 1st, 2020 for up-to-date set up instructions.