https://docs.docker.com/v1.8/installation/ubuntulinux/
Pull from docker repository: docker pull {name}
package main | |
import ( | |
"context" | |
"fmt" | |
"go.mongodb.org/mongo-driver/bson" | |
"go.mongodb.org/mongo-driver/mongo" | |
"go.mongodb.org/mongo-driver/mongo/options" | |
) |
import os | |
import time | |
import warnings | |
import math | |
import numpy as np | |
from numpy import newaxis | |
from keras.layers.core import Dense, Activation, Dropout | |
from keras.layers.recurrent import LSTM | |
from keras.models import Sequential | |
import matplotlib.pyplot as plt |
<?php | |
if (isset($_SERVER['argv']) && count($_SERVER['argv']) > 1) { | |
$doc = file_get_contents($_SERVER['argv'][1]); | |
$xml = new SimpleXMLElement($doc); | |
process($xml, "Missed pages:", 'messagebox_warning'); | |
process($xml, "Questions:", 'help'); | |
markersList($xml, "Won't be implemented in first version:", 'stop-sign'); |
<?php | |
// endpoints | |
function getToken() { | |
echo 'GET token'; | |
} | |
function postToken() { | |
echo 'POST token'; |
https://docs.docker.com/v1.8/installation/ubuntulinux/
Pull from docker repository: docker pull {name}
System looking for indicators that impact on price and according to type of indicator, calculate price include koefficient. This coefficient will be applied to next positions until section won't be finished or new indicator meet.
Case sensetive volume indicators:
from subprocess import Popen, PIPE | |
from time import time | |
CHARACTERS = [' ', '.', ',', ':', ';', 'i', '1', 't', 'f', 'L', 'C', 'G', '0', '8', '@'] | |
HEIGHT = 240 | |
WIDTH = 426 | |
DISPLAY_MODES = { |
{ | |
"code": "OK", | |
"message": "Operation is successfully executed", | |
"data": [ | |
{ | |
"project": "5620e02e297df20600a0dbd0", | |
"employee": "5620de28297df20600a0d992", | |
"approvedBy": "5620de2f297df20600a0da02", | |
"reportedBy": "5620de28297df20600a0d992", | |
"item": "5620e02e297df20600a0dbd1", |
2016-02-12 14:08:49,299 - sync - INFO - Request: | |
{"comment": "- 3-create-searchable-front-end-for-data - done\n- (gulp autoreload, tmp limit by zip codes, filter by multiple hcpcs codes, filter by total paid amount)\n", "reportedAt": "2016-02-11T14:08:49.0Z", "approvedBy": "5620de2f297df20600a0da02", "reportedBy": "5620de2f297df20600a0da02", "billedTime": 28800.0, "project": "56b0a9cd3ec0e60800c15ff3", "item": "56b0a9cd3ec0e60800c15ff4", "jiraTicket": "PROJ", "status": "approved", "approvedTime": 28800.0, "date": "2016-02-11T14:08:49.0Z", "employee": "5620de27297df20600a0d989", "approvedAt": "2016-02-11T14:08:49.0Z", "reportedTime": 28800.0, "type": "Regular", "employeeName": "Vladimir Gordienko"} | |
2016-02-12 14:08:49,299 - sync - INFO - Response: | |
{"code":"CREATED","message":"The request has been fulfilled and resulted in a new resource being created","data":{"comment":"- 3-create-searchable-front-end-for-data - done\n- (gulp autoreload, tmp limit by zip codes, filter by multiple hcpcs codes, filter by total |
// npm install express | |
// npm install body-parser | |
var express = require('express'); | |
var bodyParser = require('body-parser') | |
var app = express(); | |
app.use(bodyParser.urlencoded({ extended: false })); |