Greg Nilchee gnilchee

## autoscale_group_rotate.py
#!/usr/bin/env python
import boto3
from time import sleep
from concurrent.futures import ProcessPoolExecutor, wait, as_completed

def get_asg_instances(asg_name):
    '''
    Responds with list of instance dictionaries that provides the following

    :InstanceId - instance id

## tasks.py
#!/usr/bin/env python3
from invoke import task

@task
def clean(ctx):
    print("Cleaning!")
    ctx.run("sudo apt-get clean all")
    print("Cleaning Done.")

@task

## site_checker.cr
require "http/client"
require "option_parser"
require "logger"

destination = "changeme"
help = ""

log = Logger.new(STDOUT)
log.level = Logger::INFO

## rest_api.go
package main

import (
	"fmt"
	"encoding/json"
	"github.com/sendgrid/rest"
)

func main() {
    // var

## output_to_html_with_syntax.go
package main

import (
    "fmt"
    "os"
    "github.com/alecthomas/chroma/quick"
)

func main() {
my_code := `package main

## datadog_api_example.go
package main

import (
    "os"
    "log"
    "gopkg.in/zorkian/go-datadog-api.v2"
)

func main() {
    // Get api and app key from environment var

## get_urls.py
#!/usr/bin/env python
import requests

my_urls = [
    'https://google.com/',
    'https://youtube.com/',
    'https://facebook.com/',
    'https://wikipedia.org/',
    'https://yahoo.com/',
    'https://reddit.com/',

## ca-config.json
{
    "signing": {
        "default": {
            "expiry": "17520h"
        },
        "profiles": {
            "2yr-server": {
                "expiry": "17520h",
                "usages": [
                    "signing",

## dd_stats_sender.py
#!/usr/bin/env python
from datadog import statsd
import requests
import time

def get_endpoint_status(url):
  response = requests.get(url)
  resp_time_miliseconds = response.elapsed.microseconds / 1000
  result = {'status_code': response.status_code, 'response_time': resp_time_miliseconds}
  return result

## hello_machine_learning.py
#!/usr/bin/env python3
from sklearn import tree
###################
## Texture
# smooth = 1
# bumpy = 0
## label
# apple  = 0
# orange = 1
##################
	#!/usr/bin/env python
	import boto3
	from time import sleep
	from concurrent.futures import ProcessPoolExecutor, wait, as_completed

	def get_asg_instances(asg_name):
	'''
	Responds with list of instance dictionaries that provides the following

	:InstanceId - instance id
	#!/usr/bin/env python3
	from invoke import task

	@task
	def clean(ctx):
	print("Cleaning!")
	ctx.run("sudo apt-get clean all")
	print("Cleaning Done.")

	@task
	require "http/client"
	require "option_parser"
	require "logger"

	destination = "changeme"
	help = ""

	log = Logger.new(STDOUT)
	log.level = Logger::INFO
	package main

	import (
	"fmt"
	"encoding/json"
	"github.com/sendgrid/rest"
	)

	func main() {
	// var
	package main

	import (
	"os"
	"log"
	"gopkg.in/zorkian/go-datadog-api.v2"
	)

	func main() {
	// Get api and app key from environment var
	#!/usr/bin/env python
	import requests

	my_urls = [
	'https://google.com/',
	'https://youtube.com/',
	'https://facebook.com/',
	'https://wikipedia.org/',
	'https://yahoo.com/',
	'https://reddit.com/',
	{
	"signing": {
	"default": {
	"expiry": "17520h"
	},
	"profiles": {
	"2yr-server": {
	"expiry": "17520h",
	"usages": [
	"signing",
	#!/usr/bin/env python
	from datadog import statsd
	import requests
	import time

	def get_endpoint_status(url):
	response = requests.get(url)
	resp_time_miliseconds = response.elapsed.microseconds / 1000
	result = {'status_code': response.status_code, 'response_time': resp_time_miliseconds}
	return result
	#!/usr/bin/env python3
	from sklearn import tree
	###################
	## Texture
	# smooth = 1
	# bumpy = 0
	## label
	# apple = 0
	# orange = 1
	##################