What are the differences between threading and concurrent futures in Python?

What are the differences between threading and concurrent futures in Python?

Threading allows for concurrent execution of code by using threads, while concurrent futures provides a higher-level interface for managing threads and processes.

Can you give me an example of how to use concurrent futures?

Sure! Here's a simple example:

from concurrent.futures import ThreadPoolExecutor

def task(n):
    return n * n

with ThreadPoolExecutor() as executor:
    results = list(executor.map(task, range(10)))
print(results)

When should I use threading instead of concurrent futures?

Use threading for simpler tasks that require lightweight concurrency, while concurrent futures is better for managing complex tasks and handling results.

Are there any performance differences between the two?

Yes, concurrent futures can be more efficient for I/O-bound tasks due to its thread pool management, while threading may be simpler for CPU-bound tasks.