July 20-21, 2017
9 am - 5 pm
Instructors: Erin Becker, Antonia Gogoglou
Helpers: TBD
Software Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.
Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
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: 1 Cyclotron Road, Berkeley, Ca 94720, Building 54, Room 130 (Pers Hall). Get directions with OpenStreetMap or Google Maps.
When: July 20-21, 2017. 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 organisers have checked that:
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 ecscharfstein@lbl.gov for more information.
Surveys
Please be sure to complete these surveys before and after the workshop.
| 09:00 | Introduction and Install Help |
| 09:30 | Introducing the Shell |
| 09:35 | Navigating Files and Directories |
| 09:55 | Working with Files and Directories> |
| 10:15 | Pipes and Filters |
| 10:35 | Coffee |
| 10:50 | Loops |
| 11:15 | Shell Scripts |
| 11:35 | Finding Things |
| 12:00 | Lunch Break |
| 12:30 | Automated Version Control |
| 13:30 | Setting Up Git |
| 14:00 | Creating a Repository |
| 14:20 | Tracking Changes |
| 14:40 | Exploring History |
| 15:00 | Introduction to R and RStudio |
| 16:00 | Coffee |
| 16:15 | Project Management with RStudio |
| 16:45 | Wrap up |
| 17:00 | End |
| 09:00 | Seeking Help |
| 09:20 | Data Structures |
| 10:30 | Exploring Data Frames |
| 11:00 | Coffee |
| 11:15 | Subsetting Data |
| 12:00 | Creating Publication Quality Graphics |
| 12:30 | Lunch Break |
| 13:30 | Creating Publication Quality Graphics cont. |
| 14:30 | Dataframe Manipulation with dplyr |
| 15:30 | Coffee |
| 15:45 | Dataframe Manipulation with tidyr |
| 16:30 | Wrap up |
| 17:00 | End |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Software Carpentry 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.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.
cmd and press [Enter])setx HOME "%USERPROFILE%"
SUCCESS: Specified value was saved.exit then pressing [Enter]This will provide you with both Git and Bash in the Git Bash program.
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).
See the Git installation video tutorial
for an example on how to open the Terminal.
You may want to keep
Terminal in your dock for this workshop.
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 is a version control system that 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. You will need a supported web browser (current versions of Chrome, Firefox or Safari, or Internet Explorer version 9 or above).
You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub.
Git should be installed on your computer as part of your Bash install (described above).
For OS X 10.9 and higher, install Git for Mac
by downloading and running the most recent "mavericks" installer from
this list.
After installing Git, there will not be anything in your /Applications folder,
as Git is a command line program.
For older versions of OS X (10.5-10.8) use the
most recent available installer labelled "snow-leopard"
available here.
If Git is not already available on your machine you can try to
install it via your distro's package manager. For Debian/Ubuntu run
sudo apt-get install git and for Fedora run
sudo yum install git.
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.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo yum install R). Also, please install the
RStudio IDE.