oliveratgithub

{
	"emojis": [
		{"emoji": "👩‍👩‍👧‍👧", "name": "family: woman, woman, girl, girl", "shortname": ":woman_woman_girl_girl:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F467", "html": "👩‍👩‍👧‍👧", "category": "People & Body (family)", "order": ""},
		{"emoji": "👩‍👩‍👧‍👦", "name": "family: woman, woman, girl, boy", "shortname": ":woman_woman_girl_boy:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F466", "html": "👩‍👩‍👧‍👦", "category": "People & Body (family)", "order": ""},
		{"emoji": "👩‍👩‍👦‍👦", "name": "family: woman, woman, boy, boy", "shortname": ":woman_woman_boy_boy:", "unicode": "1F469 200D 1F469 200D 1F466 200D 1F466", "html": "👩‍👩‍👦‍👦", "category": "People & Body (family)", "order": ""},
		{"emoji": "👨‍👩‍👧‍👧", "name": "family: man, woman, girl, girl", "shortname": ":man_woman_girl_girl:", "unicode": "1F468 200D 1F469 200D 1F467 200D 1F467", "html": "👨‍👩&z

jrwren

#!/bin/bash

# List the blobs in an Azure storage container.

echo "usage: ${0##*/} <container-name> [blob-name]"

storage_account="$AZURE_STORAGE_ACCOUNT"
container_name="$1"
access_key="$AZURE_STORAGE_KEY"

srnghn

/**
 * Create a class, CatTuple, to pass to the ANOVA function so that columns can be referred to by specific names.
 * Create a class, ANOVAStats, that will be returned from the ANOVA function so that its outputs can be selected and referred to by name.
 **/
final case class CatTuple(cat: String, value: Double)
final case class ANOVAStats(dfb: Long, dfw: Double, F_value: Double, etaSq: Double, omegaSq: Double)

// Column names to use when converting to CatTuple
val colnames = Seq("cat", "value")

alces

• using Ansible command line:

ansible-playbook --connection=local 127.0.0.1 playbook.yml

• using inventory:

127.0.0.1 ansible_connection=local

erikcox

Adding Hidden Agendas
Adjusting Bell Curves
Aesthesizing Industrial Areas
Aligning Covariance Matrices
Applying Feng Shui Shaders
Applying Theatre Soda Layer
Asserting Packed Exemplars
Attempting to Lock Back-Buffer
Binding Sapling Root System
Breeding Fauna

thekensta

# For a local environment
# Install hadoop and apache-spark via homebrew

# Apache Spark conf file 
# libexec/conf/spark-defaults.conf
# Make the AWS jars available to Spark
spark.executor.extraClassPath      /usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/aws-java-sdk-1.7.4.jar:/usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/hadoop-aws-2.7.1.jar
spark.driver.extraClassPath      /usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/aws-java-sdk-1.7.4.jar:/usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/hadoop-aws-2.7.1.jar

# Add file 

romuloceccon

*~
*-old
*.cache
*.dpkg-dist
*.dpkg-bak
/*-
/*.org
/adjtime
/.pwd.lock
/mtab

aarondav

/*
 * Copyright 2015 Databricks, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may 
 * not use this file except in compliance with the License.  You may obtain
 * a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

jexp

import org.neo4j.graphdb.ResourceIterable;
import org.neo4j.graphdb.ResourceIterator;
import org.neo4j.io.fs.FileUtils;
import org.neo4j.kernel.impl.util.ResourceIterators;
import org.neo4j.kernel.logging.SystemOutLogging;
import org.neo4j.unsafe.impl.batchimport.Configuration;
import org.neo4j.unsafe.impl.batchimport.ParallelBatchImporter;
import org.neo4j.unsafe.impl.batchimport.cache.NumberArrayFactory;
import org.neo4j.unsafe.impl.batchimport.cache.idmapping.IdGenerator;
import org.neo4j.unsafe.impl.batchimport.cache.idmapping.IdGenerators;

davidfowl

$/
  artifacts/
  build/
  docs/
  lib/
  packages/
  samples/
  src/
 tests/