4. High-Level Concurrency in Python

§4.1. CPU-Bound Concurrency

§4.1.1. Using Queues and Multiprocessing

§4.1.2. Using Futures and Multiprocessing

§4.2. I/O-Bound Concurrency

§4.2.1. Using Queues and Threading

§4.2.2. Using Futures and Threading

§4.3. Case Study: A Concurrent GUI Application

§4.3.1. Creating the GUI

§4.3.2. The ImageScale Worker Module

§4.3.3. How the GUI Handles Progress

§4.3.4. How the GUI Handles Termination

Interest in concurrent programming has been growing rapidly since the turn of the millennium. This has been accelerated by Java, which has made concurrency much more mainstream; by the near ubiquity of multi-core machines; and by the availability of support for concurrent programming in most modern programming languages. ...

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