sithart

// Here is an extremely simple version of work scheduling for multiple
// processors.
//
// The Problem: 
//  We have a lot of numbers that need to be math'ed. Doing this on one 
//  CPU core is slow. We have 4 CPU cores. We would thus like to use those
//  cores to do math, because it will be a little less slow (ideally
//  4 times faster actually).
//
// The Solution:

sithart

import requests
from bs4 import BeautifulSoup as bs
from urllib.parse import urljoin

import sys

# URL of the web page you want to extract
url = sys.argv[1]

# initialize a session

sithart

import requests
from bs4 import BeautifulSoup
import json
import csv


import pandas as pd
res = requests.get("https://mipt.ru/dbmp/student/files/bioinformatics/books/glossary_bioinf.php")
soup = BeautifulSoup(res.text, "html.parser")
keys = []

sithart

import pysftp as sftp

connection_info = {
    'server': "SERVER NAME OR IP ADDRESS",
    'user': "USER NAME",
    'passwd': "PASSWORD",
}
def push_file_to_server():
    s = sftp.Connection(host=connection_info['server'], username=connection_info['user'], password=connection_info['passwd'])
    local_path = "LOCAL FILE PATH"