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Functional Python Programming, 3rd edition
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In this chapter, we’ve looked at two ways to support the concurrent processing of multiple pieces of data:
The multiprocessing
module: Specifically, the Pool
class and the various kinds of mappings available to a pool of workers.
The concurrent.futures
module: Specifically, the ProcessPoolExecutor
and ThreadPoolExecutor
classes. These classes also support a mapping that will distribute work among workers that are threads or processes.
We’ve also noted some alternatives that don’t seem to fit in well with functional programming. There are numerous other features of the multiprocessing
module, but they’re not a good fit with functional design. Similarly, the threading
and queue
modules can be used to build multithreaded applications, but the features aren’t a good fit with functional programs.
In the next chapter, we’ll look at how we can apply functional programming techniques to build web service applications. The idea of HTTP...