friggeri

haiku = ->
  adjs = [
    "autumn", "hidden", "bitter", "misty", "silent", "empty", "dry", "dark",
    "summer", "icy", "delicate", "quiet", "white", "cool", "spring", "winter",
    "patient", "twilight", "dawn", "crimson", "wispy", "weathered", "blue",
    "billowing", "broken", "cold", "damp", "falling", "frosty", "green",
    "long", "late", "lingering", "bold", "little", "morning", "muddy", "old",
    "red", "rough", "still", "small", "sparkling", "throbbing", "shy",
    "wandering", "withered", "wild", "black", "young", "holy", "solitary",
    "fragrant", "aged", "snowy", "proud", "floral", "restless", "divine",

rodrigosetti

#! /usr/bin/env python
# coding: utf-8

"""This script reads all .java files from a directory tree and removes unused
import statements. It may have errors in detecting import lines (e.g.  import
lines within block comments, or import lines with another statement in the same
line), and it may have false-negatives when deciding to remove an import (i.e.
it only removes if the last import symbol word doesn't appear at all -
including comments - in the code).

benbalter

Here's an example of how to embed a Gist on GitHub Pages:

{% gist 5555251 %}

All you need to do is copy and paste the Gist's ID from the URL (here 5555251), and add it to a gist tag surrounded by {% and %}.

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

tylerjroach

package com.tylerjroach.example.retrofit2;

import com.tylerjroach.example.BuildConfig;
import com.tylerjroach.example.util.Constants;
import okhttp3.OkHttpClient;
import okhttp3.logging.HttpLoggingInterceptor;
import retrofit.RestAdapter;
import retrofit2.Retrofit;
import retrofit2.converter.gson.GsonConverterFactory;

alexellis

Ramp up your Kubernetes development, CI-tooling or testing workflow by running multiple Kubernetes clusters on Ubuntu Linux with KVM and minikube.

In this tutorial we will combine the popular minikube tool with Linux's Kernel-based Virtual Machine (KVM) support. It is a great way to re-purpose an old machine that you found on eBay or have gathering gust under your desk. An Intel NUC would also make a great host for this tutorial if you want to buy some new hardware. Another popular angle is to use a bare metal host in the cloud and I've provided some details on that below.

We'll set up all the tooling so that you can build one or many single-node Kubernetes clusters and then deploy applications to them such as OpenFaaS using familiar tooling like helm. I'll then show you how to access the Kubernetes clusters from a remote machine such as your laptop.

Pre-reqs

• This tutorial uses Ubuntu 16.04 as a base installation, but other distributions are supported by KVM. You'll need to find out how to install