26.-27. Juni 2019
9:30 am
Instructors: Katrin Leinweber (TIB), Till Sauerwein (ZB MED), Ralf Weber (BLB Karlsruhe)
Helpers: Thomas Gerd tom Markotten (PH-Bibliothek Freiburg), Linna Lu (TIB)
Library Carpentry is made by librarians, for librarians to help you:
Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals".
Who: The course is for librarians, archivists, and other information workers. You don't need to have any previous knowledge of the tools that will be presented at the workshop. Maximum number of participants: 20.
Where: Erbprinzenstraße 15, 76133, Karlsruhe. Get directions with OpenStreetMap or Google Maps.
Room: Stober-Werkstatt (EG) im Wissenstor
When: 26.-27. Juni 2019. 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 Library Carpentry's Code of Conduct.
Accessibility: 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.
Further information: Participation fee: 60 EUR for members of VDB, BIB or similar, 120 EUR for others (VDB-Regionalverband Südwest, KSK Tübingen, IBAN DE15 6415 0020 0002 6710 59). Catering is included during the workshop. For overnight accomodation (not included) please see Karlsruhe-Tourismus.de. If the participants are interested, a joint dinner is possible at AlteBank.de (not included). Please let us know when you register.
Contact: Please email scheuble@ph-freiburg.de (Robert Scheuble) for more information and gramlich@wlb-stuttgart.de (Maria Gramlich) for registration.
Please be sure to complete these surveys before and after the workshop.
09:30 | Data Intro for Librarians |
10:30 | Coffee |
12:00 | Lunch break |
13:00 | Shell Lessons for Libraries |
14:30 | Coffee |
16:00 | Wrap-up |
16:30 | END |
09:00 | Python for Librarians |
10:30 | Coffee |
12:00 | Lunch break |
13:00 | OpenRefine |
14:30 | Coffee |
16:00 | Wrap-up |
16:30 | END |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
add
, commit
, ...status
clone
, pull
, push
, ...To participate in a Library 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 macOS 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.
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 macOS 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. It is installed along with the Shell and Git.
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 Shell and 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).
For this lesson you will need OpenRefine and a web browser. Note: this is a Java program that runs on your machine (not in the cloud). It runs inside a web browser, but no web connection is needed.