Python 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 it's time waiting for internal events (CPU intensive)
# use multiprocessing

# io bound = program/task spends most of it's 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())

# ****************************************************

nice video bro

This is brilliant .
Excellent explanation !!!

👏👏👏

thx 4 vid br
o!

meow~! uwu

THAT IS ACTUALLY REALLY COOL NGL

Firstly thank you bro
Secondly if you guys have problem with main thread not printing 4then you must delete the() for writting the function in x=threading.thread()

Thanks for this

brooo you da bestt!!

so simply, thankss

Thank you for these clear and precise explanations.
As I am new to Python, this becomes very practical for my learning.

I would like that you showed an example like this : you can eat and drink at same time, but you must finish such activities to study.

dobrze rozkminione :) Dziekowa

Excellent Explanation !!!

Kindly revealed your face , we want to sees a person who know every language exist in this world

yeah.. multi threading in the morning.. sounds familiar. like brushing teeth while getting the pants on.. =)

Even though you sound like 'Butthead' from 'Beavis & Butthead', I still love you 'Bro'. And thanks for your awesome tutorials. 👍🏻👍🏻

Understood in one go. Good work bro

TY bro

hope the algorithm blesses your channel

شكرا جزيلا

Thank you!

Such a wonderful explanation..

should i be concerned that when i run the same code as you i get "590447.4203372" returned from "print(time.perf_counter())"

thank youuu

Hey bro I've a problem.
Whenever I write my own code (following the same procedure) it shows only 1 thread and takes allotted time, but when I copy the given description code it and paste it, shows the 4 threads
Can't figure out why is it happening??

If you have problem with huge amount of time displaying by time.perf_counter() function here you have solve of this problem:
We can read in documentation:
time.perf_counter()
[...] The reference point of the returned value is undefined, so that only the difference between the results of two calls is valid.

So to solve it we have to declare variable before our code, for example:

starting_point = time.perf_counter()
...
our code here
...
print (time.perf_counter() - starting_point)

Super, finally i learn this argument! :) Nice work!!!

ate

great explanation, loved the theory before the actual code

Really like how you go to the heart of the subject.. Concise and clear... Thanks..

Great video thanks

Wow!!!!!

for some reason my main thread waits for the other 3 threads to finish before it executes the print functions. i wrote the exact same code he wrote. anyone have an idea?

My main tread is taking 734078.1110504 seconds to complete its task. what possibly could be the issue?

I really like how you explain everything so simply and quickly. Keep it up man !

For I/O bound problems, it is better to use asyncio than threads. This gives less opportunity for race conditions and their consequent hard-to-reproduce bugs.

amazing thank!s

great explanation, thanks

>>> Very consistent explanation :)
>>> Could you please do this kind of tuts regarding python standart libr modules like Struct, OS, SubProcess and Select ?
>>> Have a good time

Bro.. 👏 Heads down.

Hey I got this problem with Python showing 34568.4580 seconds while it only takes 3-4 seconds and it's not the only case in which this happens. Does anyone know how to display seconds correcty?

you sir are the best

Make a tutorial for flutter please beer is on me 🍺

nice

Thank you Bro
i run the exact same code but for me the time.perf_counter() returns a really big value for time taken sth like 11929.1326382 but in reality it takes 5 to 6 seconds to run i search online for solutions but nothing came out.
Any solutions?

Crystal Clear!

Best tutorial i have ever seen!

Thank you very much

breh.... this is so clear...