September 2019
Intermediate to advanced
352 pages
8h 3m
English
Just so we're all on the same page, let's start with some definitions:
Concurrency is when the execution of two or more pieces of code act as if they run at the same time. Parallelism is when they do run at the same time.
To have concurrency, you need to run code in an environment that can switch execution between different parts of your code when it is running. This is often implemented using things such as fibers, threads, and processes.
To have parallelism, you need hardware that can do two things at once. This might be multiple cores in a CPU, multiple CPUs in a computer, or multiple computers connected together.
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