Python multithreading 🧵

python threading multithreading tutorial example explained

#python #threading #multithreading

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Python threading tutorial
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thread =  a flow of execution. Like a separate order of instructions.
However each thread takes a turn running to achieve concurrency
GIL = (global interpreter lock),
allows only one thread to hold the control of the Python interpreter at any one time

cpu bound = program/task spends most of its time waiting for internal events (CPU intensive)
use multiprocessing

io bound = program/task spends most of its time waiting for external events (user input, web scraping)
use multithreading

import threading
import time

def eat_breakfast():
   time.sleep(3)
   print("You eat breakfast")

def drink_coffee():
   time.sleep(4)
   print("You drank coffee")

def study():
   time.sleep(5)
   print("You finish studying")

x = threading.Thread(target=eat_breakfast, args=())
x.start()

y = threading.Thread(target=drink_coffee, args=())
y.start()

z = threading.Thread(target=study, args=())
z.start()

x.join()
y.join()
z.join()

print(threading.active_count())
print(threading.enumerate())
print(time.perf_counter())

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