Feb 22-23, 2018
09:00 am - 18:00 pm
Instructors: Frank Hellmann (PIK), Sebastian Heimann (GFZ), Robert Gieseke (PIK), Joachim Krois (Charité), Stefan Lüdtke (GFZ), Peter Evans (GFZ), Knut Günther (GFZ), Martin Hammitzsch (GFZ), Marvin Reich (GFZ), Benoit Bovy (GFZ), Marius Isken (GFZ)
Helpers: Berry Boessenkool (UP), Michel Wortmann (PIK), Daniel Beiter (GFZ), Daniel Kreyling (AWI), Katrin Leinweber (TIB), ...
This workshop is a Python-Novice-Workshop with a focus on scientific computing and reproducible research. Everyone with basic knowledge of Python or a similar scripting language, such as R or Matlab, among others, is invited to join and getting in touch with tools and structures to write scientific code with a high-quality, that is reproducible and follows a well-documented standard. If you know what a variable and a loop are, you are fine. If you wonder whether this workshop is appropriate for you, don't hesitate to get in touch.
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 aims at scientists and researchers who are interested in extending their skills in scientific programming and techniques on "how to write good scientific code" as well as with the broader context. Basic knowledge of Python or a similar scripting language is required. If you know what a loop and a variable are, you are fine. If in doubt, get in touch. We start the workshop with an introduction to Python to get everyone on board.
Where: PIK (Potsdam Institute for Climate Impact Research), Lecture Hall in house A56, Albert-Einstein Wissenschaftspark, Telegrafenberg, 14473 Potsdam. Get directions with OpenStreetMap or Google Maps.
When: Feb 22-23, 2018. Add to your Google Calendar.
Application: Register online for the workshop by February 02, 2018. There are limited places available. The application form is found here.
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. Please contact the organisers if you have any requirements and/or need assistance to access the workshop rooms.
Contact: Please email swc-workshop-org@gfz-potsdam.de for more information.
Organization: We're happy to announce that these workshops are jointly organised by Potsdam Institute for Climate Impact Research (PIK), GFZ German Research Centre for Geosciences, University of Potsdam (UP), Charité – Universitätsmedizin Berlin, and others.
Workshop materials:
You may access the lessons and other workshop materials via our online repository 4learners.
Surveys
Please be sure to complete these surveys before and after the workshop.
| 09:00 | Arrival & coffee |
| 09:30 | Welcome & introduction |
| 09:45 | Lightning talks by participants |
| 10:30 | Software set-up |
| 11:00 | Coffee |
| 11:30 | The Unix Shell |
| 13:00 | Lunch |
| 14:00 | Version Control with Git |
| 15:30 | Coffee |
| 16:00 | Introduction to Python |
| 18:00 | End Day 1 |
| 09:00 | Arrival & coffee |
| 09:30 | Functions and Code Structures |
| 11:00 | Coffee |
| 11:30 | Defensive Programming |
| 13:00 | Lunch |
| 14:00 | Exploratory Data Analysis I: Time Series and plotting |
| 15:30 | Coffee |
| 16:00 | (optional) Exploratory Data Analysis II: Higher Dimensional (Spatial) Data |
| 17:30 | Wrap-up |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
add, commit, ...status, diff, ...%matplotlib inline, %timeit, %debug and %save numpy, pandas and xarray for scientific data analysisTo 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.
There will be an eduroam wlan during the workshop. We will provide WiFi guest tickets as a backup as well.
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 dnf install git.
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.
nano is a basic editor and the default that instructors use in the workshop. To install it, download the Software Carpentry Windows installer and double click on the file to run it. This installer requires an active internet connection.
Others editors that you can use are Notepad++ or Sublime Text. Be aware that you must add its installation directory to your system path. Please ask your instructor to help you do this.
nano is a basic editor and the default that instructors use in the workshop. See the Git installation video tutorial for an example on how to open nano. It should be pre-installed.
Others editors that you can use are Text Wrangler or Sublime Text.
nano is a basic editor and the default that instructors use in the workshop. It should be pre-installed.
Others editors that you can use are Gedit, Kate or Sublime Text.
Python is a popular language for research computing, and great for general-purpose programming as well. Installing all of its research packages individually can be a bit difficult, so we recommend Anaconda, an all-in-one installer.
Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.6 is fine).
We will teach Python using the Jupyter notebook, a programming environment that runs in a web browser. For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).
bash Anaconda3-and then press tab. The name of the file you just downloaded should appear. If it does not, navigate to the folder where you downloaded the file, for example with:
cd DownloadsThen, try again.
yes and
press enter to approve the license. Press enter to approve the
default location for the files. Type yes and
press enter to prepend Anaconda to your PATH
(this makes the Anaconda distribution the default Python).