silgon

# based on:
# https://stackoverflow.com/a/882770/2237916
# https://stackoverflow.com/a/53970596/2237916
import smtplib

from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from os.path import basename

silgon

import pandas_datareader as pdr
import matplotlib.pyplot as plt
from statsmodels.tsa.arima_model import ARIMA
from scipy.signal import find_peaks

data = pdr.get_data_yahoo("FR.PA")

data_ = data[data.index>"2017"]

# find_peaks(data_["Volume"])

silgon

source http://elementalselenium.com/tips/38-headless

Option 1

Xvfb :99 &
export DISPLAY=:99
ruby headless.rb

Option 2

silgon

\documentclass{article}

\usepackage{listings}
\input{listings-python.prf}  % defines the python-idle-code style
\usepackage{textcomp} % Needed for straight quotes                               

\lstset{
 basicstyle=\normalsize\ttfamily, % size of the fonts for the code               
 language={Python},style={python-idle-code},
 showstringspaces=false,

silgon

sudo vi /etc/tor/torrc

#ControlPort 9051
ControlPort 9051
#CookieAuthentication 1
CookieAuthentication 0

sudo service tor restart

echo -e 'AUTHENTICATE ""\r\nsignal NEWNYM\r\nQUIT' | nc 127.0.0.1 9051

silgon

db.t4.insert({
    "_id" : ObjectId("512e28984815cbfcb21646a7"),
    "list" : [
        {
            "a" : ISODate("2012-12-19T06:01:17.171Z"),
            "b" : 5
        },
        {
            "a" : ISODate("2013-12-19T06:01:17.171Z"),
            "b" : 5

silgon

Scan devices

hcitool scan

From: https://askubuntu.com/a/450751/269279 We can nicely control our Bluetooth device with the command line tool [hciconfig][1].

To enable visibility:

silgon

import time
# from dateutil import parser
import requests
import pandas as pd

url = 'http://google.com'

try:
    response = requests.get(url)
except Exception:

silgon

import zmq
import sys

context = zmq.Context()
print "Connecting to server..."
socket = context.socket(zmq.REQ)
socket.connect ("ipc://test_hello")

silgon

# code to solve https://stackoverflow.com/q/47932589/2237916
import numpy as np
import tflearn
from random import shuffle

# parameters
n_input=100
n_train=2000
n_test = 500
# generate data