rischanlab

#to make the final table, I changed manually the n size every trial by: 1e3, 1e4, 1e5, 1e6, 1e7. Then I also chnaged the benchmark object 'res'
n <- 1e7
set.seed(51)
process <- data.frame(id=sample(100, n, rep=T), x=rnorm(n), y=runif(n), z=rpois(n, 1) pexp(2, rate=1/3) )

all <- multicore:::detectCores(all.tests=TRUE)

if(!require(rbenchmark)){
install.packages("rbenchmark")
} else{

rischanlab

# -*- coding: utf-8 -*-
"""
This script is forked originally from Dave Jeffery. The original implementation
was very slow and deleted around 2 tweets per second. Making it multithreaded I 
am able to delete 30-50 tweets per second. 
@author: vik-y

----------------------------------------------------------------------------

This script will delete all of the tweets in the specified account.

rischanlab

#!/usr/bin/env python
# encoding: utf-8

import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""