===Exécution de plusieurs fonctions en parallèle=== import multiprocessing def f(e): print(e) return if __name__ == '__main__': # start 8 worker processes with multiprocessing.Pool(processes=8) as pool: # launching multiple evaluations asynchronously *may* use more processes multiple_results = [pool.apply_async(f, args=[i]) for i in range(1,66)] print([res.get(timeout=10000) for res in multiple_results])