December 2018
Intermediate to advanced
374 pages
11h 39m
English
The Python language provides some quiet easy ways to achieve concurrency in applications. We saw this with the Python threading library and the same is true for the Python multiprocessing capabilities too.
If you want to build concurrency in your program with the help of multiprocessing, it is quite easy to achieve, all thanks to the Python multiprocessing library and the APIs exposed by the library.
So, what do we mean when we say that we will implement concurrency by using multiprocessing. Let's try to answer this. Usually, when we talk about concurrency, there are two methods that can help us achieve it. One of those methods is running a single application instance and allowing it to use multiple threads. ...
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