heukirne

import xmlrpc.client
import requests, json, os, time

## Octadesk API: https://api-docs.octadesk.services/docs/

payload = {'username': 'support@company.com', 'password': 'password'}
headers = {'subDomain': 'company', 'content-type': 'application/json', 'accept': 'application/json'}
r = requests.post('https://api.octadesk.services/login', data=json.dumps(payload), headers=headers)
token = r.json()['token']
headers['Authorization'] = 'Bearer ' + token

heukirne

from keras.layers.core import Dense, Activation
from keras.layers import Flatten, Dropout
from keras.layers.embeddings import Embedding
from keras.models import Sequential

embedding_layer = Embedding(embedding_weights.shape[0],
 embedding_weights.shape[1],
 weights=[embedding_weights],
 input_length=max_length)

heukirne

import networkx as nx
import pandas as pd

X = frequency[['dose','freq']].values.astype(float) 
medication_graph = nx.from_numpy_matrix(self.sim_matrix) 
pr = nx.pagerank(medication_graph, alpha=0.9, max_iter=1000, personalization=dict(sfrequency['count']))

heukirne

#!/bin/bash

rm -rf ./fleetany-web
svn checkout https://github.com/alientronics/fleetany-web.git/trunk fleetany-web/
cp configDir/php.ini fleetany-web/
cp configDir/tpms-bkp/.htaccess fleetany-web/
cp configDir/tpms-bkp/.htaccess-public fleetany-web/public/.htaccess
cp configDir/tpms-bkp/.env fleetany-web/
cd fleetany-web
curl -sS https://getcomposer.org/installer | php7 -c php.ini

heukirne

<?php include('header.php'); ?>
  <div class="jumbotron">
    <h1>Candidatos Stats</h1>
    <p class="lead">Estatísticas dos Candidatos</br></p>
  </div>
<?php
    class Connect{

        protected $url_acesso = 'http://api.transparencia.org.br/api/v1/';
        protected $app_token = 'TzTnQhwxCWmY';

heukirne

> db.users.findOne();
{
        "__v" : 0,
        "_id" : ObjectId("53e10cc175dd421727dfc821"),
        "ace" : {
                "pdfViewer" : "pdfjs",
                "spellCheckLanguage" : "en",
                "autoComplete" : true,
                "fontSize" : 12,
                "theme" : "textmate",

heukirne

> db.docHistory.findOne();
{
        "doc_id" : ObjectId("53e10cd475dd421727dfc825"),
        "project_id" : ObjectId("53e10cd275dd421727dfc823"),
        "op" : [
                {
                        "p" : 36,
                        "d" : "The Hitchhiker's Guide to the Galaxy"
                }
        ],

heukirne

# db.projects.findOne();
{
        "__v" : 0,
        "_id" : ObjectId("53e10cd275dd421727dfc823"),
        "collaberator_refs" : [ ],
        "compiler" : "pdflatex",
        "deletedByExternalDataSource" : false,
        "deletedDocs" : [ ],
        "description" : "",
        "lastUpdated" : ISODate("2014-08-06T17:53:46.578Z"),

heukirne

db.i2.aggregate(
	{ $sort: { _id : 1} },
	{ $group: { _id: "$c" , 
		i : { $first : "$i" },
		m : { $first : "$m" },
		r : { $first : "$r" },
		j : { $first : "$j" },
	} },
	{ $out: 'i2_group' }
);

heukirne

//Speed up MongoDB Map Reduce, http://edgystuff.tumblr.com/post/54709368492 
//MongoDB as a pure in-memory, http://edgystuff.tumblr.com/post/49304254688 


db.notas.ensureIndex({c:1});
//db.notas.ensureIndex({p:-1}); //6786ms
db.notas.ensureIndex({a:1});

db.alunos.find().forEach(function(a){ db.notas.update({c:a._id,p:{$gte:a.p}},{$set:{v1:1}},{multi:true}) });
db.grade.find().forEach(function(g){ db.notas.update({a:g.ca},{$set:{v2:1}},{multi:true}) });