Using multiprocessing to compute Fibonacci series terms with multiple inputs

Let's implement the case study of processing a Fibonacci series for multiple inputs using the processes approach instead of threads.

The multiprocessing_fibonacci.py code makes use of the multiprocessing module, and in order to run, it imports some essential modules as we can observe in the following code:

import sys, time, random, re, requests
import concurrent.futures
from multiprocessing import, cpu_count, current_process, Manager

Some imports have been mentioned in the previous chapters; nevertheless, some of the following imports do deserve special attention:

• cpu_count: This is a function that permits obtaining the quantity of CPUs in a machine
• current_process: This is a function that allows obtaining information on the current process, for example, its name
• Manager: This is a type of object that allows sharing Python objects among different processes by means of proxies (for more information, see http://docs...