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$ sudo dnf install libtaskotron --best --enablerepo=updates-testing | $ sudo dnf install libtaskotron --best --enablerepo=updates-testing | ||
$ sudo usermod -aG taskotron <your_user> | |||
# log out and log in back again | |||
</pre> | </pre> | ||
You should have at least version '''0.4.15''' | Or you can install just <code>libtaskotron-core</code> and <code>libtaskotron-fedora</code> instead, which has fewer dependencies. Those packages are sufficient for local task execution. | ||
You should have at least version '''0.4.15''' | |||
<pre> | <pre> | ||
$ rpm -q libtaskotron-core | $ rpm -q libtaskotron-core | ||
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=== Download workshop materials === | === Download workshop materials === | ||
Download and unpack [https://kparal.fedorapeople.org/taskotron/workshops/flock2016-taskotron-workshop- | Download and unpack [https://kparal.fedorapeople.org/taskotron/workshops/flock2016-taskotron-workshop-v2.tar.xz flock2016-taskotron-workshop-v2.tar.xz]. These files will be used to demonstrate writing a new task during the workshop. These files will help us to get started quickly, instead of manual re-typing code from the screen. You can also easily compare your current code with the example code, in case things don't work for you. |
Latest revision as of 11:37, 11 August 2016
These are instructions for Taskotron workshop at Flock 2016.
System requirements
- A laptop with Fedora 23 or 24
Install libtaskotron
Please install latest libtaskotron:
$ sudo dnf install libtaskotron --best --enablerepo=updates-testing $ sudo usermod -aG taskotron <your_user> # log out and log in back again
Or you can install just libtaskotron-core
and libtaskotron-fedora
instead, which has fewer dependencies. Those packages are sufficient for local task execution.
You should have at least version 0.4.15
$ rpm -q libtaskotron-core libtaskotron-core-0.4.15-1.fc24.noarch
Download workshop materials
Download and unpack flock2016-taskotron-workshop-v2.tar.xz. These files will be used to demonstrate writing a new task during the workshop. These files will help us to get started quickly, instead of manual re-typing code from the screen. You can also easily compare your current code with the example code, in case things don't work for you.