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
threadingprovides
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.
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)
11. Lock Objects (04:35)
12. More Locks (04:30)
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)
About Lee Gaines
Lee is a DevOps Engineer and Pythonista based in Berkeley, California.
» More about Lee
