import os
import pandas as pd
from multiprocessing import Pool

def read_csv(filename):
  return pd.read_csv(filename)

def multiple_read(path):
  files = [path + f for f in os.listdir(path)]
  pool = Pool(processes=32)
  df = pd.concat(pool.map(read_csv, files))
  return df