Summary

In this chapter, we went through the basics of multiprocessing and multithreading. We then went through practical ways to utilize threads and processes. We then explored the Fibonacci sequence to explore how processes can speed up our computations. We also saw through the Fibonacci sequence that how we compute our problems is the biggest factor over threads and processes. Algorithms that scale exponentially should be avoided before reaching for multiprocessing for speed gains. We must remember that while it might be tempting to reach for more complex approaches to multiprocessing, this can lead to problems such as deadlock and data races. We kept our multiprocessing tight by keeping it contained within a processing pool. If we keep these principles in mind and keep all our multiprocessing contained to a pool, we will keep our hard-to-diagnose problems to a minimum. This does not mean that we should never be creative with multiprocessing but it is advised to do further reading...