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Software Carpentry: Python for Researchers

January 9, 2019 @ 9:00 am - January 10, 2019 @ 4:30 pm

REGISTER HERE

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.

Where: IDRE Portal. Get directions with OpenStreetMap or Google Maps.

When: Jan 9-10, 2019 at 9:00 am to 4:30 pm, daily. 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). They are also required to abide by Software Carpentry’s Code of Conduct.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

  • The room is wheelchair / scooter accessible.
  • Accessible restrooms are available.

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. 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 kallen2@library.ucla.edutdennis@library.ucla.edu or dwhitmore@g.ucla.edu for more information.

Registration

To register and to find out more about this workshop, go to to the registration website.

Details

Start:
January 9, 2019 @ 9:00 am
End:
January 10, 2019 @ 4:30 pm
Event Tags:
, , ,
Website:
https://ucla-data-archive.github.io/2019-01-09-ucla/

Venue

IDRE Portal
5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Website:
https://idre.ucla.edu/directions

Organizer

Data Science Center
Website:
https://www.library.ucla.edu/location/data-science-center

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