Now, let's consider the scalability of our current counter data structure—specifically, with changing numbers of active threads. We had three threads increment a shared counter for a total of 300 times; so, in our scalability analysis, we will have each of the active threads increment a shared counter 100 times, while changing the number of active threads in our program. Following the aforementioned specification of scalability, we will look at how the performance (speed) of the program that uses the counter data structure changes when the number of threads increases.
Consider the Chapter16/example3.py file, as follows:
# Chapter16/example3.pyimport threadingfrom concurrent.futures ...
