I'd like to gain practical knowledge about machine learning / TensorFlow / scikit by trying out simple examples.

Do some 3D printing incluing designing the object.

OBS started distributing live events through a rabbitmq and Bernhard's obsbugzilla scripts can use that as an additional source to update bugzilla with reduced and more uniform delays, e.g. within 30 minutes of the last SR relating to a given bug.

Kdenlive is refactoring its timeline to be based on Qt's data models and a QML view. This work is not yet finalized so any help there is appreciated by the developers.

I'v been doing the testing on device mapper, once there are some regression it's very hard to debug without block-layer knowledge.

Minion, the job queue of the Mojolicious web framework, currently has to be administrated with command line tools. I want to build an Admin UI that will make the most common maintenance tasks, such as restarting a large number of failed jobs, a lot more comfortable.

free hugs for hackweek

While I despise Trello, I quite like the idea of using a Kanban board to organise my individual work and much of my personal projects

Results:

``` ‎zypper ar -f http://dist.suse.de/install/SLP/SUSE-Manager-Server-3.1-GM/x86_64/DVD1/ suma3.1