Python multithreading 🧵

python threading multithreading tutorial example explained #python #threading #multithreading ****************************************************** Python threading tutorial ****************************************************** 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())