Multithreading and concurrency in Python
The concept behind multithreading applications is that it allows us to provide copies of our code on additional threads and execute them. This allows the execution of multiple operations at the same time. Additionally, when a process is blocked, such as waiting for input/output operations, the operating system can allocate computing time to other processes.
When we mention multithreading, we are referring to a processor that can simultaneously execute multiple threads. These typically have two or more threads that actively compete within a kernel for execution time, and when one thread is stopped, the processing kernel will start running another thread.
The context between these subprocesses changes very quickly and gives the impression that the computer is running the processes in parallel, which gives us the ability to multitask.
Multithreading in Python
Python provides an API that allows developers to write applications...
