non-blocking progress-update in jupyter cell with multiprocessing

Question

I run my cell, spawn a process and share a variable 'counter' between the 2 processes:

import multiprocessing as mp
import helper as hp

if __name__ == '__main__':
    counter = mp.Value('i',0)
    p1 = mp.Process(target=hp.calc_returns, args=(2020, counter), name='p1')
    p1.start()

when a 'sub-task' is completed in hp.calc_returns, counter gets incremented:

with counter.get_lock():
    counter.value += 1

I can access its value in my parent process.

I want to autonomously update this jupyter-cell, so that i can keep working in the notebook below and come back from time to time and check how much work has been down, without running the cell manually

Do i need to spawn a 2nd process to keep updating this cell or how would one go about it?