saurabhwahile

import os
import sys
from datetime import datetime, timedelta
import re
from io import BytesIO
import subprocess
import base64
import imaplib
import email

saurabhwahile

import pandas as pd
from openpyxl import load_workbook


index = ['Name', 'Given Name', 'Additional Name', 'Family Name', 'Yomi Name', 'Given Name Yomi', 'Additional Name Yomi', 'Family Name Yomi', 'Name Prefix', 'Name Suffix', 'Initials', 'Nickname', 'Short Name', 'Maiden Name', 'Birthday', 'Gender', 'Location', 'Billing Information', 'Directory Server', 'Mileage', 'Occupation', 'Hobby', 'Sensitivity', 'Priority', 'Subject', 'Notes', 'Group Membership', 'E-mail 1 - Type', 'E-mail 1 - Value', 'E-mail 2 - Type', 'E-mail 2 - Value', 'Phone 1 - Type', 'Phone 1 - Value', 'Phone 2 - Type', 'Phone 2 - Value', 'Phone 3 - Type', 'Phone 3 - Value', 'Phone 4 - Type', 'Phone 4 - Value', 'Phone 5 - Type', 'Phone 5 - Value', 'Phone 6 - Type', 'Phone 6 - Value', 'Phone 7 - Type', 'Phone 7 - Value', 'Address 1 - Type', 'Address 1 - Formatted', 'Address 1 - Street', 'Address 1 - City', 'Address 1 - PO Box', 'Address 1 - Region', 'Address 1 - Postal Code', 'Address 1 - Country', 'Address 1 - Extended Address', 'Organization 1

saurabhwahile

# -*- coding: utf-8 -*-
import datetime
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor

class FBOSpider(scrapy.Spider):
  name = "FBOSpider"
  start_url = "https://www.fbo.gov/index?s=opportunity&mode=list&tab=list&pageID={page_no}"

saurabhwahile

from googlefinance import getQuotes
import winsound
import time
import math
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("stock", help="A google supported stock name. Example, NASDAQ:AAPL", type=str)
parser.add_argument("support", help="beep when below this price", type=float)
args = parser.parse_args()

saurabhwahile

#You'll still have to manually enter dates here, as the xlsx file from zerodha does not show dates(SIP of stocks causes multiple dates)
#EDIT: Usage python zerodha_to_moneycontrol.py <FILENAME>
import sys
from openpyxl import load_workbook

wb = load_workbook(sys.argv[1])
ws = wb.active

csv_list = [["BSE/NSE/ISIN Code","Buy Date","Buy Quantity","Buy Price",]]

saurabhwahile

import tweepy

auth = tweepy.auth.OAuthHandler(
        consumer_key="key",
        consumer_secret="secret")
auth.set_access_token(
        'token',
        'secret')

api=tweepy.API(auth_handler=auth)

saurabhwahile

@echo off
for /f "tokens=2,3 delims={,}" %%a in ('"WMIC NICConfig where IPEnabled="True" get DefaultIPGateway /value | find "I" "') do set gateway=%%~a
IF %gateway%==192.168.1.1 (
  netsh interface ip set address name="Wi-Fi" static 192.168.1.10 255.255.255.0 192.168.1.41 1
) ELSE (
  netsh interface ip set address name="Wi-Fi" static 192.168.1.10 255.255.255.0 192.168.1.1 1
)

saurabhwahile

import java.io.*;

import javax.imageio.*;

import java.awt.image.*;
import java.util.*;
import java.awt.Color;

class Operator
{

saurabhwahile

repeat=10
while [ $x -gt 0 ]
	do
	python "C:\\Python27\\lib\\timeit.py" -n 3 "f = open('file.txt', 'wb+'); f.write('chunk'); f.close()" >> results.txt
	repeat=$((repeat-1))
done		
data="$(awk '{print $6}' results.txt)"
echo $data
python -c "results = map(float, \"\"\"$data\"\"\".split('\n')); from matplotlib import pyplot; pyplot.plot(range(1,11), results); pyplot.savefig('results.png')"
rm results.txt

saurabhwahile

#replace th0 with interface name and the 1st ip with nic ip and 2nd ip with proxy ip
ip="$(ifconfig eth0|grep 'inet addr'|awk -F':' '{print $2}'| awk -F' ' '{print $1}')" 
if [[ $ip = "172.24.0.2" ]]
then
        export http_proxy="http://172.24.0.1:3128"
fi