Threading in Python

Lee Gaines 19 Lessons 1h 30m
best-practices intermediate

Python threading allows you to have different parts of your program run concurrently and can simplify your design. If you’ve got some experience in Python and want to speed up your program using threads, then this course is for you!

In this course, you’ll learn:

What threads are
How to create threads and wait for them to finish
How to use a ThreadPoolExecutor
How to avoid race conditions
How to use the common tools that Python threading provides

This course assumes you’ve got the Python basics down pat and that you’re using at least version 3.6 to run the examples. If you need a refresher, you can start with the Python Learning Paths and get up to speed.

If you’re not sure if you want to use Python threading, asyncio, or multiprocessing, then you can check out Speed Up Your Python Program With Concurrency.

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Threading in Python

19 Lessons 1h 30m

1. Threading in Python: Overview 01:07

2. What Is a Thread? 03:08

3. A Single Thread 02:05

4. Two Threads 05:38

5. Daemon Threads 03:26

6. Joining Threads 03:21

7. Multiple Threads 04:04

8. Thread Pool 03:55

9. Race Conditions 01:50

10. Example: Bank Account Program 08:03

11. Lock Objects 04:35

12. More Locks 04:30

13. The Producer-Consumer Pipeline: Part 1 01:42

14. The Producer-Consumer Pipeline: Part 2 11:33

15. The Producer-Consumer Pipeline: Part 3 06:36

16. The queue Module: Part 1 13:59

17. The queue Module: Part 2 04:20

18. Semaphore Objects 05:19

19. Threading in Python: Summary 01:16

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About Lee Gaines

Lee is a DevOps Engineer and Pythonista based in Berkeley, California.

» More about Lee

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