Porting training labs to Python. This includes re-implementing the host side BASH scripts (which handle VirtualBox and KVM related tasks) to Python. For full details on this please follow training-labs project:

Introduction

Orcas are amazing animals. They are playful, intelligent, great swimmers, and very social. They also love to play with their food, hunting down their prey with advanced strategies - understanding where its prey hides, how it will try to escape, and how to overcome those tactics - and having a lot of fun doing so, before relentlessly tearing it apart, killing it, and eat it. Not necessarily in that order. Oh, and they have the right color scheme.

Create a console application for a crossword puzzle generator that can be fed with a custom list of word+explanation pairs. It may be used by people to quickly familiarize with a specific topic (e.g. a knowledge area, new hires to the company ...) to at least understand the terminology and the abbreviations that are used. Or to just have some distraction and fun :-)

WEB_PAGES:

https://github.com/viccuad/gomoduino

Hypothesis is a python property based testing framework inspired by quickcheck.

While osc is growing and getting more and more complex and hard to maintain, there is an object oriented rewrite of osc which key points are:

Sonnenhut is a simple Pythong web app that provides basic info useful for planning photographic activities. The current iteration does the job, but it can be improved and extended in a number of ways.

There is a number of possible improvements to the architecture of SUSE Manager / Salt integration that should be investigated in order to improve the reliability and scalability of the backend:

Ever left a restaurant wanting to write a review, but thinking it wasn't worth the trouble to tap out all those words on your phone -- you just want to give the place your n stars and provide a few words of praise or condemnation? If only you could press a button to generate a plausible review. If this project happens, you will.

oscar is short for osc sugar, it will be a collection of little wrapper scripts on top of the openSUSE build service command-line tool that make it easier to use.

Overview

OpenFaaS - Functions as a Service

Problem statement

We have a known defect exists in Staging Project process, according to the staging project design(in-ring/non-ring), the requests of a application stack can be dispatched to letter staging and adi staging both, in case the request staged in adi staging relies the request staged in letter staging which may causes sometimes the request in adi staging will not be checked-in at the same round, this leads that application stack have different version in TW and those package had request left in adi staging may does not work well as version unmatched to other library. We see this issue happened on Qt5 stack; KDE Applications, etc. For example: a Qt5 stack update, libqt5-qtbase will be staged in a letter staging however libqt5-qtwebview will be staged in a adi staging, once libqt5-qtbase be accepted that libqt5-qtwebview won't be accept in the same round due to it can not be built before libqt5-qtbase merged to Factory but after - 2-phase update. Therefore we need a way to handle those cases to reduce the gap between Letter staging and ADI staging.

• Setup Tensorflow on OpenSUSE 42.3
• Look for a way to package it

Running openATTIC and DeepSea on Multiple Distributions