California State Universities: Chico, Fullerton, San Bernardino
Jan 13-15, 2025
9:00am-1:00pm PST
Instructors:
Robin Donatello, Essia Hamouda, Benjamin Beccera
Helpers:
Sanjeet Mann, David Palmquist, Juan Cortes
General Information
The Carpentries project comprises the Software Carpentry, Data Carpentry, and
Library Carpentry communities of Instructors, Trainers, Maintainers,
helpers, and supporters who share a mission to teach foundational computational and data science
skills to researchers.
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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.
Who:
This workshop is open to students, faculty staff and instructors at any California State University.
You don't need to have any previous knowledge of the tools
that will be presented at the workshop.
REGISTRATION
Registration fees are $25, or $10 for students.
Register at this link
Note: Space is limited; contact the organizers to be placed on a hold list if needed.
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:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
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.
Roles:
To learn more about the roles at the workshop (who will be doing what),
refer to our Workshop FAQ.
Acknowledgement:
This workshop is being offered by Project DA-FANH [grant no. 2021-77040-34880 from the USDA National Institute of Food and Agriculture].
Project DA-FANH aims to foster an active, inclusive, and diverse community of learners and instructors that promote and model the
importance of software and data in the Food, Agriculture, Natural Resources and Human Sciences.
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.
Surveys
Please be sure to complete these surveys before and after the workshop.
Creating Publication-Quality Graphics with ggplot2
short break
Vectorization
Functions Explained
Day 3
Writing Data
Data Frame Manipulation with dplyr
short break
Data Frame Manipulation with tidyr
short break
Writing Good Software
Setup
To participate in a
Software Carpentry
workshop,
you will need access to software as described below.
In addition, you will need an up-to-date web browser.
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
RStudio.
Install R by downloading and running
this .exe file
from CRAN.
Also, please install the
RStudio IDE.
Note that if you have separate user and admin accounts, you should run the
installers as administrator (right-click on .exe file and select "Run as
administrator" instead of double-clicking). Otherwise problems may occur later,
for example when installing R packages.
Instructions for R installation on various Linux platforms (debian,
fedora, redhat, and ubuntu) can be found at
<https://cran.r-project.org/bin/linux/>. These will instruct you to
use your package manager (e.g. for Fedora run
sudo dnf install R and for Debian/Ubuntu, add a ppa
repository and then run sudo apt-get install r-base).
Also, please install the
RStudio IDE.
the lesson homepage for instructions to follow
to obtain the software and data you will need to follow the lesson.