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Women in Science and Engineering, University of Michigan

Jan 5-6, 2015

9:00 am - 4:30 pm

Instructors: Sarah Supp, Kara Woo, Christie Bahlai, Dana Bauer

Helpers: Alyxandria Schubert, Iris Holmes, Marian Schmidt, Michelle Berry

General Information

Software Carpentry's mission is to help scientists and engineers become more productive by teaching them basic lab skills for computing like program design, version control, data management, and task automation. This two-day hands-on workshop will cover basic concepts and tools; participants will be encouraged to help one another and to apply what they have learned to their own research problems.

Who: This workshop is for women in the University of Michigan research community. We welcome undergraduates, graduate students, faculty, and other researchers.

Where: North Campus Research Complex, Building 10 Room G064 and the South Atrium, 2800 Plymouth Road, Ann Arbor, MI. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a few specific software packages installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct.

Contact: Please mail admin@software-carpentry.org for more information.

Sponsors: Thank you to our very generous sponsors for making this workshop possible.


Schedule

We plan to have two rooms for each lesson: a novice room for learners who are just getting started with a particular tool or technology; and an intermediate room for folks who have some working knowledge of a particular tool or technology. The instructors will help workshop participants make decisions about which group to join.

We'll have coffee and refreshments in the morning and light snacks in the afternoon. Lunch is on your own.

Day 1

09:00 Novice room: Unix shell basics & intro to data management
Intermediate room: Building programs with R
12:00 Lunch break
13:00 Novice room: Getting started with R
Intermediate room: Automating tasks with the Unix shell & data management topics
16:00 Wrap-up

Day 2

09:00 Novice room: Version control with Git
Intermediate room: Version control with Git
12:00 Lunch break
13:00 Novice room: Getting started with SQL
Intermediate room: Managing data with SQL
16:00 Wrap-up

Etherpad links (for taking notes)


Syllabus

The Unix Shell

  • Files and directories: pwd, cd, ls, mkdir, ...
  • History and tab completion
  • Pipes and redirection
  • Looping over files
  • Creating and running shell scripts
  • Finding things: grep, find, ...
  • Reference...

Programming in R

  • Working with vectors and data frames
  • Reading and plotting data
  • Creating and using functions
  • Loops and conditionals: for, if, else
  • Using R from the command line
  • Reference...

Version Control with Git

  • Creating a repository
  • Recording changes to files: add, commit, ...
  • Viewing changes: status, diff, ...
  • Ignoring files
  • Working on the web: clone, pull, push, ...
  • Resolving conflicts
  • Open licenses
  • Where to host work, and why
  • Reference...

Managing Data with SQL

  • Reading and sorting data
  • Filtering with where
  • Calculating new values on the fly
  • Handling missing values
  • Combining values using aggregation
  • Combining information from multiple tables using join
  • Creating, modifying, and deleting data
  • Programming with databases
  • Reference...

Setup

To participate in a Software Carpentry workshop, you will need working copies of the software described below. Please make sure to install everything (or at least to download the installers) before the start of your workshop.

Overview

Editor

When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words. The default text editor on Mac OS X and Linux is usually set to Vim, which is not famous for being intuitive. if you accidentally find yourself stuck in it, try typing the escape key, followed by ':q!' (colon, lower-case 'q', exclamation mark), then hitting Return to return to the shell.

The Bash Shell

Bash is a commonly-used shell. Using a shell gives you more power to do more tasks more quickly with your computer.

Git

Git is a state-of-the-art version control system. It lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github.com.

R

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we will use RStudio, an interactive development environment (IDE).

SQL

SQL is a specialized programming language used with databases. We use a simple database manager called SQLite, either directly or through a browser plugin.

Windows

Git Bash

Install Git for Windows by download and running the installer. This will provide you with both Git and Bash in the Git Bash program.

Software Carpentry Installer

This installer requires an active internet connection

After installing R and Git Bash:

  • Download the installer.
  • If the file opens directly in the browser select File→Save Page As to download it to your computer.
  • Double click on the file to run it.

Editor

nano is the editor installed by the Software Carpentry Installer, it is a basic editor integrated into the lesson material.

Notepad++ is a popular free code editor for Windows. Be aware that you must add its installation directory to your system path in order to launch it from the command line (or have other tools like Git launch it for you). Please ask your instructor to help you do this.

R

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE.

SQLite

Download the sqlite3 program and put it in the directory where you are running examples. Alternatively, you may install the Firefox SQLite browser plugin described below.

Mac OS X

Bash

The default shell in all versions of Mac OS X is bash, so no need to install anything. You access bash from the Terminal (found in /Applications/Utilities). You may want to keep Terminal in your dock for this workshop.

Editor

We recommend Text Wrangler or Sublime Text. In a pinch, you can use nano, which should be pre-installed.

Git

For OS X 10.8 and higher, install Git for Mac by downloading and running the installer. For older versions of OS X (10.5-10.7) use the most recent available installer for your OS available here. Use the Leopard installer for 10.5 and the Snow Leopard installer for 10.6-10.7.

R

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

SQLite

sqlite3 comes pre-installed on Mac OS X. Alternatively, you may install the Firefox SQLite browser plugin described below.

Linux

Bash

The default shell is usually bash, but if your machine is set up differently you can run it by opening a terminal and typing bash. There is no need to install anything.

Git

If Git is not already available on your machine you can try to install it via your distro's package manager (e.g. apt-get or yum).

Editor

Kate is one option for Linux users. In a pinch, you can use nano, which should be pre-installed.

R

You can download the binary files for your distribution from CRAN. Or you can use your package manager, e.g. for Debian/Ubuntu run apt-get install r-base or yum install R. Also, please install the RStudio IDE.

SQLite

sqlite3 comes pre-installed on Linux. Alternatively, you may install the Firefox SQLite browser plugin described below.

All operating systems

Firefox SQLite Plugin

Instead of using sqlite3 from the command line, you may use this plugin for Firefox instead. To install it:

  • Start Firefox.
  • Go to the plugin homepage.
  • Click the "Add Now" button.
  • Click "Install Now" on the dialog that appears after the download completes.
  • Restart Firefox when prompted.
  • To check that the plugin installed correctly, select "SQLite Manager" from the "Tools" menu.

In newer versions of Firefox, the menu bar isn't always displayed. To make it appear, use the Alt key next to the space bar on your keyboard, or consult the support page from Firefox for additional help.

Virtual Machine

Learners are not required to install a virtual machine (VM); however, if you run into trouble installing any of the above software onto your computer, you can use a VM instead to follow along with the lessons. To install:

  1. Install VirtualBox.
  2. Download our VM image. Warning: this file is 1.7 GByte, so please download it before coming to your workshop.
  3. Load the VM into VirtualBox by selecting "Import Appliance" and loading the .ova file.