Threading is a technique of creating multiple flows of execution within a single process. Each flow of execution is called a thread, and it has its own stack, local variables, and instruction pointer.

Because multiple threads within a process share data, they can work with one another more closely and easily. For example, let's say you want to retrieve all of the data from a variety of websites. My ...

For parallelism, Python offers multiprocessing, which launches multiple instances of the Python interpreter, each one running independently on its own hardware thread.. All three of these ...

For now, it’s best to assume threading in Python, by default, won’t give you parallelism. Python does include another native way to run a workload across multiple CPUs.