What are the best practices for using ThreadPoolExecutor in Python?
An example of an AI chatbot conversation about best practices for ThreadPoolExecutor in Python.
What are the best practices for using ThreadPoolExecutor in Python?
When using ThreadPoolExecutor, it's important to set the right number of workers based on your system's capabilities.
How do I determine the optimal number of workers?
A good starting point is to use the number of CPU cores available on your machine, but you can adjust based on the workload.
Should I handle exceptions in the worker functions?
Yes, it's crucial to handle exceptions within your worker functions to prevent the entire pool from crashing.
Can you give an example of handling exceptions?
Certainly! You can use a try-except block inside your worker function to catch and log exceptions without stopping the pool.
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