Program 1:

import json

import time

start_time = time.time()

tweets = []

# Read each file and parse the Tweet JSON object

for i in range(1, 4):

with open("TweetsDataPart{}.txt".format(i)) as f:

for line in f:

tweet = json.loads(line)

tweets.append({

"created_at": tweet["created_at"],

"screen_name": tweet["user"]["screen_name"],

"text": tweet["text"]

})

# Save the output to a file

with open("output.txt", "w") as f:

for tweet in tweets:

f.write("{} {} {} ".format(

tweet["created_at"],

tweet["screen_name"],

tweet["text"]

))

print("Time taken: {:.9f} seconds".format(time.time() - start_time))

Program 2: Redo Program 1 by utilizing a multithreading approach. Report the total time in seconds needed to generate this output file from start reading the input files until finish writing the output file. and compare it with the total time from Program 1. Report how much this approach is faster than the one in Program 1 ? Write your answer as a comment in the python file