Arthur Barros arthurbarros

## index.html
<!doctype html>
<html>
    <head>

        <script  src="https://code.jquery.com/jquery-3.3.1.min.js"></script>
        <script src=" http://blaiprat.github.io/jquery.animateSprite/js/jquery.animateSprite.js"></script>

        <style type="text/css">
            .scott {
                height: 140px;

## app.py
import requests


def get_url(url, news):
    res = requests.get(url)
    for new in res.json()['results']:
        news.append(new)
    if res.json()['next']:
        news = get_url(res.json()['next'], news)
    return news

## dump_to_txt.py
import json


whitelist = []

def add_user_whitelist(user_id):
  whitelist.append(user_id)

add_user_whitelist(12345678000)

## churn-keras-model.ipynb

      
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                arthurbarros
                / churn-keras-model.ipynb
            
            
              Created
              July 31, 2017 20:56
            
              
                How to build a simple Keras model with Tensorflow backend
              
          
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## Anomaly Detection using Gaussian Distribution.ipynb

      
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              1 star
            
          
                arthurbarros
                / Anomaly Detection using Gaussian Distribution.ipynb
            
            
              Last active
              July 27, 2017 23:13
            
              
                Anomaly Detection with sklearn using Guassian Distribution #MachineLearning
              
          
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## extract_frame.sh
ffmpeg -v 0 -y -i "http://calertahls-lh.akamaihd.net/i/calertahls_1@167570/master.m3u8" -vframes 1 img/output.jpeg

## btce.js
    var WebSocket = require('ws'),
        Entities = require('html-entities').XmlEntities,
        http = require('https');

    var TransportHelper = function(){}

    TransportHelper.prototype.parse = function(data)
    {
        data = JSON.parse(JSON.parse(data).data);
        if(typeof data == 'string'){

## app.css
* {
  margin: 0;
  padding: 0;
  box-sizing: border-box;
}

body {
  font: 13px Helvetica, Arial;
}

## screen-crash-course.md

      
              1 file
            
          
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                arthurbarros
                / screen-crash-course.md
            
            
              Created
              January 24, 2017 17:24
                — forked from andrewsardone/screen-crash-course.md
            
              
                GNU Screen Crash Course
              
          
    GNU Screen Crash Course

Introduction

A real quick GNU screen crash course with the key features I use.
man screen

Emulates terminals in a full-screen window manager
Detachable, so shell sessions aren't attached to a login process


## nginx.conf
# Add to nginx.conf http section
map $http_upgrade $connection_upgrade {
    default upgrade;
    ''      close;
}
	<!doctype html>
	<html>
	<head>

	<script src="https://code.jquery.com/jquery-3.3.1.min.js"></script>
	<script src=" http://blaiprat.github.io/jquery.animateSprite/js/jquery.animateSprite.js"></script>

	<style type="text/css">
	.scott {
	height: 140px;
	import requests


	def get_url(url, news):
	res = requests.get(url)
	for new in res.json()['results']:
	news.append(new)
	if res.json()['next']:
	news = get_url(res.json()['next'], news)
	return news
	import json


	whitelist = []

	def add_user_whitelist(user_id):
	whitelist.append(user_id)

	add_user_whitelist(12345678000)
	var WebSocket = require('ws'),
	Entities = require('html-entities').XmlEntities,
	http = require('https');

	var TransportHelper = function(){}

	TransportHelper.prototype.parse = function(data)
	{
	data = JSON.parse(JSON.parse(data).data);
	if(typeof data == 'string'){
	* {
	margin: 0;
	padding: 0;
	box-sizing: border-box;
	}

	body {
	font: 13px Helvetica, Arial;
	}
	# Add to nginx.conf http section
	map $http_upgrade $connection_upgrade {
	default upgrade;
	'' close;
	}