Threading in Python - Advanced Python 16 - Programming Tutorial

Threading in Python - Advanced Python 16 - Programming Tutorial

In this Python Advanced Tutorial, I will go into more detail about the threading module in Python. This video will cover:

- How to share data between threads
- Hot to use Locks to prevent race conditions
- What is a daemon thread
- How to use a Queue for thread safe data exchanges

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[vladimirtchuiev]

I hear "daemon thread" as "demon threat", I played too many videogames...
To quote: "A demon threat is a background threat that will die when the main threat dies"

[kevinjones]

Subscribing. Python Engineer, your tutorials are filled with well delivered content. Thank you for your time and effort😲!!!

[alvfig]

I did think Queue was already thread safe, that it won't require a lock. Anyway, thank you by the great content.

[squeakycamp]

Amazing video! Thank you so much for making this great explanation!

[hackdesigner]

I don't get your example for `with lock: ` usage. With GIL enabled, how can one print() call be executed inside another one? ~Or, printing to Console is IO-bound operation?~
EDIT: OK, read an article and understood: the main text and '\r\n' can be interjected with more text because how print() itself works.

[sigmasix]

Thanks for the video, nicely explained

[vijaybabaria]

Love your content, thank you.

future topic suggestion : pytest integration test 🙏🏼

[sharifmansuri]

Superb video on multithreading topic Explanation is absolutely crystal clear... Thanks for uploading video

[darrenlefcoe]

i have never encountered a race condition, but if i do, the `Lock` will be ideal...

[liushaomin]

If we lock the thread, won’t that defeat the purpose of threading(that is to switch to another task while waiting for IO to respond?)

Are there other ways to communicate, while ensuring that we can still switch between tasks?

[kosonko]

Thank you guy, very helpfull and very good explanation ;D

[Loug]

For some reason the final code doesn't work for me in vscode and doesn't even return an error, while on pycharm it works just fine.
EDIT: it started working but only if I use the debug mode

[benyaminyakobi]

Thank you very much for detailed & clear explanation. Rare type of great content!

[abhisekhagarwala]

hi, i have a doubt i would appreciate it if you could ans.
if i have a flask service in which a function is there which gets executed

app.route(/, ['POST'])
def sum():
addition, status = addition(x, y)
q1 - if some one wants send multiple request to my api how do i make it concurrent as well as thread safe, ???
q2 -> and if different threads are getting created then should i have to make variable inside the addition method thread safe or they just local variable and won't be affected.
q3-> add function return two values will they be affected by different threads. and how do i get return values after writing threading code.
should i do like
addition, status = thread.start()
????

[alanjohnstone]

I have listened to all of this series of videos and found them exceptionally well explained - up until this one. Q.join came from nowhere and was not explained and the whole rather complicated interaction of the various parts was unclear. Sorry but it is better to be honest. Alan

[kaxurxsurt]

Hello Patrick, please explain this to me again:
In your video at 21:51
1. why does the main thread die if there is an infinite loop?, does q.join() somehow stops it ?
I understand that after task_done() the thread should still be 'stuck' in the loop even though q.join() 'gathers' all the final results but...
2. ...how does it stop the loop? and
3. why would we use an infinite loop in the first place?
I am sorry if my questions seem very obvious, thank you in advanced and thank you for this material.

[intisarmuhtadee]

Which IDE / Text editor you are using?

[PRATIKADARSH]

is anyone else hearing 'thread' as 'threat' ?

[spy]

Everyone is İndian in here ı think so...(but ı am not ındıan)