What is a thread pool and how do I implement one?
A thread pool is a collection of pre-initialized threads that can be reused for executing tasks. This helps manage resources efficiently.
Why should I use a thread pool instead of creating new threads for each task?
Using a thread pool reduces the overhead of thread creation and destruction, leading to better performance and resource management.
Can you show me a simple example of implementing a thread pool in Python?
Sure! You can use the concurrent.futures.ThreadPoolExecutor
class. Here's a basic example:
from concurrent.futures import ThreadPoolExecutor
def task(n):
return n * n
with ThreadPoolExecutor(max_workers=5) as executor:
results = list(executor.map(task, range(10)))
print(results)
What are the potential downsides of using a thread pool?
Some downsides include potential thread contention, where multiple threads compete for resources, and the complexity of managing thread lifecycles.
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