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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