Managing threads in Python
Threads are streams that can be scheduled by the operating system and can be executed across a single core concurrently, or in parallel across multiple cores. Threads are a similar concept to processes: they are also code in execution. The main difference between the two is that threads are executed within a process, and processes share resources among themselves, such as memory.
We can differentiate two types of threads:
- Kernel-level threads: Low-level threads; the user cannot interact with them directly.
- User-level threads: High-level threads; we can interact with them in our Python code.
Creating a simple thread
For working with threads in Python, we need working with the threading module that provides a more convenient interface and allows developers to work with multiple threads. In the following example, we create four threads, and each one prints a different message that is passed as a parameter in the thread_message (message...