Thuruv

# -*- coding: utf-8 -*-
import json
import os
import logmatic
import logging
from logging.config import dictConfig
import requests
from http import HTTPStatus
import re
from kiteconnect import KiteConnect

Thuruv

"""
Authour : @soyelherein
submit via :-
    $SPARK_HOME/bin/spark-submit pipeline_wo_modules.py
"""
from pyspark.sql import DataFrame, SparkSession
from pyspark.sql.functions import col, lit, coalesce, current_date
from pyspark.sql.types import *

"""

Thuruv

#!/usr/bin/python

import re, urllib, urllib2

class Spreadsheet(object):
	def __init__(self, key):
		super(Spreadsheet, self).__init__()
		self.key = key

class Client(object):

Thuruv

import pandas as pd
import matplotlib.pyplot as plt

def combined_label(perc, tot):
    """
    Format a label to include by Euros and %.
    """
    return "{0:,.0f}k EUR, {1:.0f}%".format(perc * tot / 1000, perc * 100)

def cost_cum(data, focus, subject):

Thuruv

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import mechanize
import re
from bs4 import BeautifulSoup


br = mechanize.Browser()

Thuruv

# -*- coding: utf-8 -*-
"""
Created on Mon Nov  9 13:11:35 2015

@author: mendox
"""
import argparse
import MySQLdb
from prettytable import PrettyTable

Thuruv

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

Thuruv

__author__ = 'c_thv'

#path = 'c:/users/c_thv/desktop/ban.csv'


import csv
#print result[0][1]  #row number and the col like RC style
infile=(list(csv.reader(open('c:/users/c_thv/desktop/ban.csv',"rb"))))      #loading the file in numpy
x = dict([(row[0], row[1:]) for row in infile])                             #Devlop a dict as InFile
outfile=(list(csv.reader(open('c:/users/c_thv/desktop/thi.csv',"rb"))))

Thuruv

__author__ = 'c_thv'
__path__ = "c:/users/c_thv/desktop/de.csv"

import csv
import numpy
# x = {}
# #loading the file in numpy
# result=numpy.array(list(csv.reader(open("c:/users/c_thv/desktop/de.csv","rb"),delimiter=','))).astype('string')
# #print result[0][1]  #row number and the col like RC style
# for i in result:

Thuruv

import urllib2
url="http://groupon.com"
page =urllib2.urlopen(url)
data=page.read()
print data