Harnessing the Power of concurrent.futures.ThreadPoolExecutor for Multi-Parameter Function Execution

Here’s an example of how you can use concurrent.futures.ThreadPoolExecutor to submit a function with multiple parameters:

import concurrent.futures

# Function to be executed
def my_function(param1, param2):
# Perform some computation or task
result = param1 + param2
return result

# Create a ThreadPoolExecutor with maximum 5 threads
with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
# Submit the function with multiple parameters using the `submit` method
future = executor.submit(my_function, 10, 20)

# Retrieve the result of the function execution
result = future.result()

# Print the result

In this example, we define a function called my_function that takes two parameters (param1 and param2) and returns their sum. We then create a ThreadPoolExecutor with a maximum of 5 threads using the max_workers parameter.

We submit the my_function to the executor using the submit method, passing the function and its parameters (10 and 20). The submit method returns a Future object that represents the execution of the function.

We retrieve the result of the function execution by calling future.result(), which will block until the function completes. Finally, we print the result.

Note that ThreadPoolExecutor is particularly useful when you have multiple tasks that can run concurrently and you want to parallelize their execution.

Author: robot learner
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