What are deadlocks in Python and how can I prevent them?
Deadlocks occur when two or more threads are blocked forever, each waiting on the other to release a resource. To prevent them, you can use techniques like resource ordering, timeouts, or avoiding nested locks.
Can you give me an example of a deadlock situation?
Sure! Imagine two threads: Thread A holds Resource 1 and waits for Resource 2, while Thread B holds Resource 2 and waits for Resource 1. This creates a deadlock.
How can I detect a deadlock in my Python application?
You can use the threading
module's Thread
class along with a timeout to check if a thread is still active. Additionally, tools like py-spy
can help visualize thread states.
Are there any libraries that can help manage deadlocks?
Yes, libraries like concurrent.futures
and multiprocessing
provide higher-level abstractions that can help manage resources and reduce the risk of deadlocks.
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