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Workshop: Git for Teams

November 13 @ 12:00 pm - 2:30 pm

DESCRIPTION

This workshop taught by Dr. Carl Stahmer starts by briefly reviewing the basic git commands we use every day and then moves onto:

* using git to share work with others,
* exploring different workflows for working by yourself and with others,
* querying git to problem solve and understand what git is doing and why,
* intermediate and advanced git functionality and idioms that can be very useful.

These workshops will be hands-on and each participant will work with another participant to practice editing and sharing changes to files. This will give you authentic experience in confidently working with git, solving some of the issues that arise, and knowing where to find solutions in the future.

We’ll mimic real-life situations and actually solve them together with git commands. We’ll also intersperse the hands-on activities with high-level explanations of important elements of
the git computational model and how to reason about the different ways of doing things with git and their trade-offs.

PREREQUISITES & TARGET LEARNERS

This workshop is aimed at students, postdoctoral scholars, faculty, staff who have used git and are familiar with its introductory-level functionality. Prior to attending this workshop you should be able to add and commit files. Attendance at the prior Introduction to Git Workshop on October 30, 2019 is recommended. Come with your laptop with git installed, and your Github account. Please check that you can connect to the campus wireless (“Eduroam” or guest).

REGISTRATION
Registration is required. Click here to register!
DSI Affiliates receive priority registration. You will receive a confirmation once you are accepted into the workshop.

RESOURCES

Authenticating to GitHub instructions for Mac and Windows: https://help.github.com/en/github/authenticating-to-github

Details

Date:
November 13
Time:
12:00 pm - 2:30 pm
Event Categories:
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Event Tags:
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Venue

Shields Library, room 360

Organizer

DataLab: Data Science and Informatics (DSI)
Website:
http://datalab.ucdavis.edu