Expert Python Programming - Third Edition

Using one thread per item

Now, it is time for improvement. We don't do a lot of processing in Python, and long execution times are caused by communication with the external service. We send an HTTP request to the remote server, it calculates the answer, and then we wait until the response is transferred back. There is a lot of I/O involved, so multithreading seems like a viable option. We can start all the requests at once in separate threads and then just wait until we receive data from all of them. If the service that we are communicating with is able to process our requests concurrently, we should definitely see a performance improvement.

So, let's start with the easiest approach. Python provides clean and easy to use abstraction over ...