Advanced Futures Usage
Understand how to enhance CPU scaling in Python by using the futurist library for advanced futures management. Learn to parallelize tasks, control execution queues to prevent overload, and schedule regular functions. This lesson helps you improve performance and gain detailed task statistics, making concurrent code more efficient and robust.
We'll cover the following...
futurist.ThreadPoolExecutor
As we have seen in Using Futures, Future objects are an easy way to parallelize tasks
in your application. The futurist library has been built on top of concurrent.futures and offers a few bonuses that I would like to introduce here. It is (almost) a transparent replacement for concurrent.futures, so any code should be straightforward in terms of adapting to this library, which is itself entirely based on ...