Sept. 6-13, 2022
9:00 am - 12:00 pm
Instructors: Scott Peterson (UCB), Reid Otsuji (UCSD), Kat Koziar (UCR), Kimberly Thomas (UCSD), Zhiyuan Yao (UCLA), Christine Wells (UCLA), Scott Gruber (UCLA), Derek Devnich (UC Merced), Erin Foster (UC Berkeley), Kenji Hayashi (UCLA), Ryan Gan (El Camino)
Helpers: Stephanie Labou (UCSD), Reid Otsuji (UCSD), Kristi Liu (UCSB), Kat Koziar (UCR), Kimberly Thomas (UCSD), Lisa Ngo (UCB), Leigh Phan (UCLA), Eastern Kang (UCSD)
The Carpentries aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This workshop is designed for researchers and enables non-experts to develop computing skills for research analysis. We will cover basic concepts and tools, such as - working with libraries and data frames; reading and plotting data; creating and using functions; the shell using command-line applications; cleaning and transforming data; and more. Participants will be encouraged to help one another and to apply what they This is a free workshop and is open to all University of California students, staff, and faculty. 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: This workshop is open to UCSD students, staff, and faculty.
You don't need to have any previous knowledge of programming or the tools presented in the workshop to attend. A laptop is required for each session.
Requirements: Participants must bring a laptop with a few specific software packages installed (listed below).
Contact: Please email kkt008@ucsd.edu or zyao@ucla.edu for more information.
For UCSD students: A Co-Curricular of Record activity recognition may be requested for UCSD students who attend Day 1-3 plus one additional session day. For more information on the UC San Diego Co-Curricular of Record (CCR), please visit the UCSD Engaged Learning Tools Co-Curricular Record page.
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.
Please be sure to complete these surveys before and after the workshop.
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| Date | Session | Topics |
|---|---|---|
| Sept 6 | Introduction to R - Part 1 Introduction to Python - Part 1 | Intro to R & RStudio - basics, data structures, and data import/export Python: Running/Wuitting, Variables and Assignment, Data Types/Type Conversions, Built-in Functions, and Help |
| Sept 7 | Introduction to R - Part 2 Introduction to Python - Part 2 | R: dplyr and tidyverse Python: Libraries, Writing Functions, Reading/Writing data in Dataframes, and Pandas Dataframes |
| Sept 8 | Introduction to R - Part 3 Introduction to Python - Part 3 | R: Plotting with ggplot2 and knitr Python: Plotting, Lists, For Loops, Looping over Datasets, and Conditionals |
| Sept 9 | The Unix Shell | Introduction, Navigating the file system, & working with files & directories |
| Sept 12 | Version Control with Git | Introduction, Creating a Repository, Tracking Changes, and Collaborating |
| Sept 13 | SQL OpenRefine | SQL:Introduction, Creating a Repository, Tracking Changes, and Collaborating OpenRefine: OpenRefine: Cleaning and Transforming data |
For this workshop we will be referencing the R for Reproducible Scientific Analysis, Plotting and Programming in Python, The UNIX Shell, Version Control with Git , SQL, and OpenRefine Carpentries curricula.
We will be using the specific software downloads and data for each lesson. Please refer to the listing of downloads needed for each session you'll be attending as provided at this link.
We will use HackMD collaborative notes for taking notes, and sharing URLs and bits of code. The links to each session are listed at this link.
To participate in a workshop, you will need access to the software 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.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options: