Snippet 1
import pandas as pd
import threading
import time
from multiprocessing import Queue
my_queue = Queue(maxsize=0)#Let us define our worker
def worker(my_queue):
#Add some time to fill up the queue
time.sleep(5)
while(my_queue.qsize() > 0):
entry = my_queue.get()
#Let us define our threads here
num_threads = 10
threads = []
try:
for i in range(num_threads):
t = threading.Thread(target=worker,args=(my_queue)
t.start()
threads.append(t)
except:
print ("Error: unable to start thread")
#This is our main starting code.
def main():
df = pd.read_csv('nasdaq100.csv',encoding='UTF-8',delimiter="t")
for index, row in df.iterrows():
my_queue.put(row)
while(1):
if my_queue.qsize() > 5:
time.sleep(5)
else:
break
main()
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