Python Threading Tutorial: Basic to Advanced (Multithreading, Pool Executors, Daemon, Lock, Events)

Are you trying to make your code run faster? In this video, we will be taking a deep dive into python threads from basic to advanced concepts so that you can take advantage of parallelism and concurrency to speed up your program.

0:00 Introduction
0:53 What are threads?
1:18 When to use threads? (I/O vs CPU, GIL issue)
2:16 Python Thread without join()
3:10 Python Thread with join()
3:49 Python Thread with Input Arguments
4:30 Python Multithreading
5:12 Python Daemon Threads
5:51 Python Thread with Synchronization using Locks
6:38 Python Thread Queue Communication between Threads
7:58 Python Thread Pool Executor
9:21 Python Thread Events
10:12 Speed Comparison I/O Task
10:42 Speed Comparison CPU Task (Multithreading vs Multiprocessing)

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[mapleigue]

Thanks Kevin! This is my first time watching your channel, your content is fantastic.

[MinaEllis-dn]

Thank you for continuously providing us with new knowledge. Your channel is a huge blessing to me. Keep up the good work.

[GeraldTalton]

So what version of Python has the GIL fix in it to allow for true multithreading in Python?