Python Threading Explained in 8 Minutes

[@southVpaw]

You have the best coding tutorials on KZbin. * clearly visible code * clear audio * clean, simple edits * pretty sure your intro has me Pavlov'd into focus mode

[@Nik-rx9rj]

I miss the normal indicators of a coding tutorial though: fan noises, poor quality audio, and a thick accent that makes learning nearly impossible

[@ZettaBlitz]

Your tutorial saved me man, it was so simple to follow through and understand when lots other articles that I've looked through couldn't, keep it up!

[@Nik-rx9rj]

Agreed! They overcomplicate the concepts and explain too much right away

[@sarys5169]

bro, what is amazing about your content is that you are able to explain complicated concepts with simple jargon. great job.

[@philipberthiaume2314]

A bit of clarification. A tuple with a single value without the coma after it e.g. ("ABC",) will cast the value to a string. ("ABC") = "ABC". ("ABC",) = ("ABC").

[@globalfinancetrading]

Great explanation, thank you! Gives the answer and the reason why threading might be used (when you have multiple things you want to check without stopping and waiting for one item to complete first)

[@ryun_d3v]

Much better than other tutorials that take longer and are more difficult to understand! Good job. Thanks!

[@GeorgeKahi]

thank you so much! ive been looking for a video like this that ACTUALLY WORKS and this is the only one i could find after several hours of research

[@JoeDerasEspinoza]

this was such a help dude, I was struggling with the threads and turning the non principal threads into daemons was the thing I was missing

[@tomasmunoz1641]

Bro just wanted to thank you for such amazing content, the consistency with which you upload together with the widespan of python related content you cover is unparalleled hope the channel continues to grow

[@robertcenusa8636]

+1

[@edwardsnowden8749]

Legit I had discovered this channel when he'd just posted his videos on python, and i saw how structured and complete his content was, and I knew at that time this channel deserved more followers, but I had nothing to do with python at that point. 2 years later, Here I am, doing a 6 month internship on Python, and i come to youtube to learn about Threading in python, and I land on this video.

[@Ellenki_007]

Also print(time.sleep(1)) whenever counter is incremented.

[@Shoaib_Khan9272]

I dont know why but i am addicted to your intro

[@NeuralNine]

Happy to hear that! :)

[@garyjiang5048]

This 8-min video is even better than an 1-hr tutorial on Coursera🎉🎉

[@ricardokers]

Great video, congratulations. I'm from Brazil and your videos are helping me to deepen my knowledge in Python, thank you.

[@eclecticspirit4803]

after watching many videos on multithreading , this one takes the point home

[@cleclemieumieu4709]

Thanks a lot for that video man, i had some issues with a python program, i saw your video, then i only changed like a few lines in the program, and i had no issues anymore :)

[@aym6590]

bro is changing lives with a single video 🙏 thanks man

[@passportbro904]

facts, im actually thinking im junior developer now lol

[@colocho1984]

Hi, thanks for the video. I think the not deamon thread doesn’t stop in your video because the function is set to while True instead of while Done :)

[@johnbö-x5l]

thanks..."that daemon=True little snippet of info".....helped me save a problem in 4minutes ...regards and have a good time

[@thekreb]

OK... Finally a simple straightforward quick explanation of Python😅 threading

[@ExcelTutorials1]

This is very very helpful. You did a great job explaining this. Thank you!!

[@A.Ventin]

Really great videos!! As a newcomer this is helping me a lot. Thanks!

[@greasygoblin3541]

FINALLY someone who can explain this clearly!

[@tianeric9987]

thanks for the tutorial, btw dude you really look like the "Nacho" from better call saul 😆

[@hello_world1221]

Thank you, bro. Your lessons are very helpful and easy to understand.

[@antonmazur6301]

You know it's a good video if a dummy like me understood everything. Thank you very much!

[@_B_K_]

Well done. Easy to understand and follow.

[@Luc1an_]

Could you please also explain multithreading vs multiprocessing in the next video??

[@BAMBAMBAMBAMBAMval]

The way i understand it is that multiprocessing is just using more than 1 cpu core to do the task at hand. Multithreading would then be using a single core to do 2 or more operations "at once" by hopping back and forth between 2 or more tasks. Btw im fairly new to programming so i might be incorrect. If anyone can confirm please comment or something

[@heco.]

​​@@BAMBAMBAMBAMBAMvalyour're right

[@TheEpicPineapple56]

@@BAMBAMBAMBAMBAMval Hey, so this isn't quite true. Python can be quite a bit different from other languages and adhere to its own way of doing things sometimes, so as someone new to programming, you're probably getting a few misconceptions. Multiprocessing and multithreading are both ways of implementing "concurrency". "Concurrency" encompasses both real parallelism and the simulated "hopping back and forth" between different tasks. Multiprocessing differs from multithreading because it spawns an entire new child process through a process called "forking". You need to know what processes are to really get this, so essentially a process is like a miniature computer system; it has its own CPU registers, its own memory address space, its own PC counter, etc etc. It is like a little miniature box that was developed decades ago as a way to allow one computer to run multiple programs at the same time. A child process contains a copy of every variable, every object, etc in the parent process at the time that it was forked. These two processes now run at the same time. On a single-core machine, the CPU would be bouncing around doing tasks for both processes at the same time. On a multi-core machine, sometimes the two processes would literally, physically be running at the same time on different physical cores that the CPU has. In practice, this is called "multiplexing" and it is the job of the operating system and the CPU scheduling hardware to adequately schedule the hundreds of different processes that run on a computer. There are a few stages that a process can live in: "new", "ready", "running", "waiting", and "terminated" (this depends on your OS as well, I am talking about Unix operating systems mostly). Threads are a lighter-weight way of implementing concurrency. Threads do not have their own address space the same that processes do, and they do not make copies of any variables. Threads are essentially just there to execute instructions and operate on the same data that already exists in the main process. Because of that, it is very important to synchronize threads and make sure that when they are interacting with data, they avoid creating situations called race conditions. As a programmer, you need to implement/use things like locks, mutexes (mutual exclusions), and semaphores to make sure that data is accessed in the correct way. With all that being said, threads also give concurrency, which may be real parallelism or maybe "fake" parallelism achieved through time multiplexing. Threads live on different levels of the operating system too. Some are user threads, like the ones in Python. Others are kernel level threads, which have permission to interact directly with the hardware. And of course there are hardware threads, which are the 4 cores, 8 cores, 16 cores, etc that you have on your CPU. If your computer has 16 cores and is running more than 16 processes and threads, then it is 100% doing some level of time multiplexing. It is impossible to not do that. But there are always at least 16 processes/threads that are truly executing in parallel, unless you write some code that stalls them. I know that was a lot, and there is lot of nuance that I missed so for anyone that reads who knows better I apologize lol Just wanted to give a quick rundown of the differences, similarities, and how you really need to get to the hardware and operating system level of things to understand what is going on. Python abstracts all of that away which makes it difficult to see.

[@BAMBAMBAMBAMBAMval]

@@TheEpicPineapple56 hey thanks for taking the time to explain all that

[@Ghghgh-tg7ye]

Cool video. very liable for backend python developers. Thanks!

[@narcotek2678]

Thank you very much, it made me the Threads clearer to me!!!

[@Nik-rx9rj]

This was incredibly easy to understand. Thank you!

[@HosseinOjvar]

Quick, Simple and Useful tutorial Many thanks ;)

[@xiaoyangshawnhuang1251]

simplicity makes you shine, thank you so much for the sharing. well done.

[@ramizballou5197]

Very good tutorial - thanks for sharing and being so resourceful 👍👍

[@naderbazyari2]

Great video like everyone said. Ich bedanke mich. I just leave a comment for the algorithm to recommend it to more people

[@imrealgigachad]

Very nice video, keep going bro

[@KuriSumireko]

Thanks doc, helped me with my homework

[@arhamsiddiqui2365]

It cleared all my doubts ! Thanks !

[@nonebusinessaccount496]

Thank you for the explanation. Very impressive.

[@moibe182]

Nice and straight to the point!, thanks!!!

[@ashhar2408]

Great job! Fastest 8 minutes ever for me!

[@lanadelreyedits2234]

That was awsome, thank you so much for sharing your knowledge.

[@tomifadiora8184]

let it be known that this man is a goddamn legend

[@bulavo]

You make great, very understandable tutorials

[@jesssilver4244]

Thanks man, this was really helpful.

[@kharanhothi888]

Great Video!

[@its_me_to]

Thank you for fast and simpel tutorial

[@Codebyakshay]

Ayy my man thankd very much for that tutorial i totally understand the concept 🙌

[@vaulttectradingco8438]

Threading is so much nerfed in Python that async often beat it

[@-_Nuke_-]

Is there a language that's like python (as similar as possible) but also supports true multi threading?

[@papalaplace]

@@-_Nuke_-you could look into Scala

[@darkhippo6222]

Python 3.13 will have an experimental mode with the GIL deactivated, stay tuned :)

[@hayfahvytsen]

Great concise explanation. Thanks!

[@techwizSon]

bro really help me understand thread

[@SkyFly19853]

Very useful for video game development.

[@patrickmaartense7772]

very clearly explained...

[@cosmic_classroom_]

superb video

[@wiseworks6880]

Good high density tutorial.. I could have used some more explanation of join().

[@GuitarLucius]

very well done mate. thank you..

[@sabbha_mondal]

Thank you so much for this... short and clear

[@damianos.2954]

very nice explanation. Subscribed!!

[@lowkeygaming4716]

Another great vid. Very well explained.

[@evanhearne-witstudentappli1182]

I must say, you charge very reasonably for your paperback books. I think that's great.

[@robvanbreemen6660]

This is great. Thanks for sharing.

[@syshack3rz]

Can you explain asyncio and why everyone uses it instead of threading nowadays

[@greofficial980]

Great teacher

[@averystablegenius]

In the threading examples, what is magic about the variable 'done'? Boolean references to this variable in the def were replaced with the constant True. How does the def know that 'done' has changed from False to True?

[@anglocon]

Great video well explained

[@vinceoldenhof7117]

I love learning python from Vaas

[@malathinaik1971]

thank you so much !!!

[@mmd-p2r]

keep it going bro

[@RubenPetrosyan-h4s]

Thank you!

[@ed223-p5g]

Next video about multiprocessing pls

[@tomernof3185]

Great explantion

[@mmmm-uc8ed]

Top g of programming

[@derschatten8757]

thank you very much

[@Ellenki_007]

Its ok at beginning but hard at end.

[@ddam712]

beautifully done.

[@md.towfiqurrahman3316]

nice explanation

[@Lorryduckie2]

this was not cristal clear to me but probabely need to get deeper in other concepts before jumping to threads. nevertheless quality content thanks

[@AliHamza-en8cn]

Great video. Can you make video about create an installer of python scripts like installing normal software and show on control panel?

[@yosef_ii]

YOU HELPED ME SO MUCH THANK YOUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU

[@nishanthmungara29]

You are amazing!!

[@anonfourtyfive]

Hi, anyone can answer me about args in a thread, isn't a list by default ? I always pass a list as args, if you only have one, you only pass one, why a tuple exactly ?

[@AngeloCarlotto]

thanks, nice content

[@acromatic0189]

thank you

[@gecko_ecco2017]

Can someone explain why the "args" takes a tuple if you use () or a list [] but not a single argument? and what argument takes "kwargs"?

[@guilherme5094]

Really nice👍

[@yashshukla1637]

**Title:** *Python Threading Explained in 8 Minutes* - **Intro & Explanation of Python's Threading:** - Video aims to simplify Python multithreading within 8 minutes. - Python's **Global Interpreter Lock (GIL)** restricts true multithreading in CPython, leading to **pseudo-multithreading**. - Python achieves concurrency by switching between tasks during **downtime** (e.g., waiting for I/O). - To use threading, **import** the built-in `threading` module along with `time` for downtime simulation. - **Basic Worker Function & Example:** - Define a function called **worker** that runs an **endless loop** until a condition is met (`done` is set to `True`). - The loop increments a counter every second and prints it. - Running the function without threading causes it to block the main thread. - To process user input concurrently, threading is necessary to run functions simultaneously. - **Implementing Multithreading:** - Use `threading.Thread(target=worker).start()` to run the **worker** function in a **separate thread**. - Threads allow concurrent execution; user input can be handled while the worker function runs. - Use a **daemon thread** (`daemon=True`) to ensure the program terminates when other important threads finish. - Example: setting `daemon=True` for threads makes them non-blocking during script termination. - **Advanced Thread Control:** - Arguments can be passed to threads using `args=()`, e.g., `args=('ABC',)`. - Demonstrates running multiple threads with different arguments concurrently. - Threads can be managed using **join** to wait for their completion, blocking further code execution until the threads finish. - Closing remarks encourage user engagement and subscription for more content.

[@Ellenki_007]

Define crash course?

[@pushpendratripathi46]

Thanks 👍

[@augustwillevage8288]

amazing!

[@Qbiccx]

What exactly makes it only recognize "Enter" as a correct input for triggering done?

[@Reall]

My question is if the thread hasn't finished can you still access it if you exited after

[@powerdust015lastname4]

i’ve heard that python 3.14 will be up to 5 times faster. do you think it is possible, that python will get real multithreading?

[@theidrishi]

Thanks u

[@AmodeusR]

I didn't get how the code stopped running when you pressed enter. Why only when you pressed enter it went after the print? For what I know the code should be executed right after the print, making so the counter wouldn't even happen since done would be set to True before it could start.

[@drkhrp]

thanks

[@PCs454]

When i make a thread, i get a RuntimeError: There is no current event loop in thread 'Thread-1 i copied some code that uses something called *asyncio* ? but i do not understand what this means or does exactly :( could someone please explain this breifly. or are there other parts to this video? thanks 🙏🙏

[@younesdeveloper]

amazing

[@davidgood840]

Does this method still work if one thread makes calls to blocking functions inside a foreign dll ?

[@-_Nuke_-]

Does java support true multi threading? Meaning assigning different code to run in true parallel in separate threads in my CPU?

[@jayeshsakhiya2405]

Hi, i have a question? what if i want to add like , when press enter the value of counter value change to less one, and after this it works as from this value. please reply

[@dipeshsharma6504]

can you make a video on threadpool executor please