Shyal Beardsley shyal

## n_queen.py
from time import sleep
from os import system

"""
After spending the day trying to understand this algorithm, i decided to animated it in terminal.
Makes a lot more sense, so sharing.
"""

delay = .05

## index.html
<html>
    <head>
        <style>
            @import 'https://fonts.googleapis.com/css?family=Roboto:300,400,500';

            header {
                background-color: #263d36;
                background-image: url("https://images.unsplash.com/photo-1511878587934-516d7ca5465b?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=1689&q=80");
                background-position: center top;
                background-repeat: no-repeat;

## pushdpopd.sh
#!/bin/bash

# we are supposed to be in our home directory
cd

# we make a directory called foo
mkdir foo

# we "cd" into foo, but we remember where we came from
pushd foo

## fabfile.py
import boto3
from fabric.api import sudo, task, env
import os

env.key_filename = os.path.expanduser('~/.ssh/key.pem')
env.user = 'ubuntu'
env.filter = ['running', 'stopped']

ec2 = boto3.resource('ec2')

## tether_prints.py
#########################################################
# This should print out how many USDT have been printed #
# date created: 22/08/2018                              #
# date updated: 22/08/2018                              #
#########################################################

import requests
import os
import json
import tempfile

## talk_gists.py
from tornado import gen, web, ioloop, httpclient
import json

class MainHandler(web.RequestHandler):

    @gen.coroutine
    def get(self):
        http_client = httpclient.AsyncHTTPClient()
        time, ip, headers = yield [http_client.fetch("http://time.ioloop.io?format=json"),
                                   http_client.fetch("http://ip.ioloop.io?format=json"),

## concurrent_tornado_fetches.py
from tornado import gen, web, ioloop, httpclient
import json


class MainHandler(web.RequestHandler):

    @gen.coroutine
    def get(self):
        http_client = httpclient.AsyncHTTPClient()
        time, ip, headers = yield [http_client.fetch("http://time.ioloop.io?format=json"),

## test.py
#!/usr/bin/env python
import requests
from argparse import ArgumentParser
import pickle
limit = 50

# getting urls and dumping them into file
def get_urls():
    sites = requests.get("http://readthedocs.org/api/v1/project/?limit=%s&offset=0&format=json" % limit)
    objects = sites.json()['objects']
	from time import sleep
	from os import system

	"""
	After spending the day trying to understand this algorithm, i decided to animated it in terminal.
	Makes a lot more sense, so sharing.
	"""

	delay = .05
	<html>
	<head>
	<style>
	@import 'https://fonts.googleapis.com/css?family=Roboto:300,400,500';

	header {
	background-color: #263d36;
	background-image: url("https://images.unsplash.com/photo-1511878587934-516d7ca5465b?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=1689&q=80");
	background-position: center top;
	background-repeat: no-repeat;
	#!/bin/bash

	# we are supposed to be in our home directory
	cd

	# we make a directory called foo
	mkdir foo

	# we "cd" into foo, but we remember where we came from
	pushd foo
	import boto3
	from fabric.api import sudo, task, env
	import os

	env.key_filename = os.path.expanduser('~/.ssh/key.pem')
	env.user = 'ubuntu'
	env.filter = ['running', 'stopped']

	ec2 = boto3.resource('ec2')
	#########################################################
	# This should print out how many USDT have been printed #
	# date created: 22/08/2018 #
	# date updated: 22/08/2018 #
	#########################################################

	import requests
	import os
	import json
	import tempfile
	from tornado import gen, web, ioloop, httpclient
	import json

	class MainHandler(web.RequestHandler):

	@gen.coroutine
	def get(self):
	http_client = httpclient.AsyncHTTPClient()
	time, ip, headers = yield [http_client.fetch("http://time.ioloop.io?format=json"),
	http_client.fetch("http://ip.ioloop.io?format=json"),
	#!/usr/bin/env python
	import requests
	from argparse import ArgumentParser
	import pickle
	limit = 50

	# getting urls and dumping them into file
	def get_urls():
	sites = requests.get("http://readthedocs.org/api/v1/project/?limit=%s&offset=0&format=json" % limit)
	objects = sites.json()['objects']