Florian Kromer fkromer

Build docker image

$ cd /path/to/Dockerfile
$ sudo docker build .

View running processes

To distribute a package on pypi

Directory structure

/project/
    /package/
        __init__.py
        module.py
 setup.py

Quickstart Guide to undertsanding the Qualtrics Survey File

This information is likely to quickly become outdated when Qualtrics next changes the formatting of the QSF file. This guide was started February 2017. I hope that it is a useful introduction to understanding the contents of the QSF file that one can download from Qualtrics.

This document includes:

A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.

Engines and libraries ⚙️

Name	Stars	Last Commit	Description
three.js	![GitHub

About

How to unstar all your github stars with API

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visit here: https://github.com/settings/tokens make sure to check repo scope, it is needed to unstar

Get all starred repos

This is work in progress

I read about the .NET Generic Host for the first time in a Tweet of David Fowler. And I was hooked by the idea, it was just what I was looking for.

I like modules making things small but fit together like pieces of a puzzle, if possible being able to reuse them. I started refactoring Greenshot over a year ago, and was making modules out of the spaghetti code that it was. Trying to extract the modules into their own nuget packages, making them more generic and testable. I glued them together with some code I wrote, which is availble in Dapplo.Addons, but I knew that this was just a journey, until I found something that is a better with more potential.

I found the following description: _The purpose of Generic Host is to enable a wider array of host scenarios. Messaging, backg

	# install CUDA
	sudo apt-get update
	wget "http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.5-18_amd64.deb"
	sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb
	sudo apt-get update
	sudo apt-get install cuda -y
	export PATH=/usr/local/cuda-7.5/bin:$PATH
	export LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH

	# install MPI (optional, for some samples)

	#import <iostream>

	// A simple container class for holding results
	class Item {
	using str = std::string;
	private:
	str _item;
	public:
	Item(str k): _item {k} {}
	const str value() const {

	# Install virtualbox
	sudo apt install virtualbox

	# Install Kubectl
	curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/darwin/amd64/kubectl && chmod +x kubectl && sudo mv kubectl /usr/local/bin

	# Install Minikube
	curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.14.0/minikube-darwin-amd64 && chmod +x minikube && sudo mv minikube /usr/local/bin/
	# Launch Minikube
	minikube start

	using System;

	// Tested on .NET Core 2.1
	class Program
	{
	static void Main(string[] args)
	{
	Console.CancelKeyPress += OnSigInt;
	AppDomain.CurrentDomain.ProcessExit += OnSigTerm;