Understanding Python: Threading

In this video, I go over threading.
Included in the lesson is an introductory tutorial covering the basics, background, and some best practices of threading.
As always, if you have any questions or suggestions for future videos, please leave a comment down below.

Timelapse music: 失望した by Eva
Outro music: Elix by Synthness

[DiptonilRoy]

I always wanted someone to do a deep dive into the nuanced topics of Python such as how actually threads work and the GIL. Have looked around for good implementations for so long. Finally seem to have found it. Amazing work!

[ruiwang]

This is the best video for understanding python thread easily!

[cheesecake_mafia]

Hi Jake, excellent tutorial. I absolutely love your content on youtube. It feels like a crime to be able to learn this free of cost.
Anyways, Im guessing you already know this, but we could use the python's inbuilt map method with the ThreadPoolExecutor like executor.map(func_name, list_of_args) . It just feels a bit more readable. That way we could just loop over the futures object to get the results and not use the .as_completed() method, assuming the func_name function returns something.

Cheers and Kudos!!

[dragonkat]

Definitely do another video on this subject! It goes deep and you are great at explaining it!

[taft-rh]

SUPER INFORMATIVE! Thanks for the detailed dive!

[abadulhassan]

very useful and nice content explained very simply.

[sergioernestotostadosanche]

Hi, dude. You got my subscription, thanks for sharing thoughtfully!

[Diablo-qpiz]

You are the best explainer among all the YouTubers I've seen. 👍🏻👍🏻👍🏻
But I often have a question.

Assuming I am preparing to write a Third party API hub, which contains 10 independent external party APIs with no dependencies but finally we need to transform and append all their response in json.In this situation, would you choose to use asynchronous programming or multi-threading?

[HKN]

When do you make the Video about Multi-Processing?