How much faster could your Python code run The ThreadPool class provides easy-to-use thread-based concurrency for IO-bound tasks. This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system). There's just one problem. No one knows about it (or how to use it well). Introducing: " You will get a rapid-paced, 7-part course to get you started and make you awesome at using the ThreadPool. Including:
(if you used 100s of threads)?
- How to create thread pools and when to use them.
- How to configure thread pools including the number of threads.
- How to execute tasks with worker threads and wait for results.
- How to execute tasks in the thread pool asynchronously.
- How to execute tasks lazily and respond to results as tasks are completed.
- How to handle results with callbacks and check the status of tasks.
- How to develop a port scanner that is 70x faster than the sequential version.
Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper.
Each of the 7 lessons was carefully designed to teach one critical aspect of the ThreadPool, with explanations, code snippets, and worked examples.
Learn Python concurrency correctly, step-by-step.