How do I create tuples in Python across multiple processes?

In Python, you can create tuples across multiple processes using the `multiprocessing` module. This module allows you to create and manage separate processes and share data between them, including tuples.

Python, tuples, multiprocessing, create tuples, multiple processes
This article discusses how to create and manage tuples in Python across multiple processes using the 'multiprocessing' module effectively.
import multiprocessing def create_tuple(): # Create a tuple my_tuple = (1, 2, 3, 4) print(f"Tuple from process {multiprocessing.current_process().name}: {my_tuple}") if __name__ == '__main__': processes = [] for _ in range(4): p = multiprocessing.Process(target=create_tuple) processes.append(p) p.start() for p in processes: p.join()

Python tuples multiprocessing create tuples multiple processes

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?