Concurrent programming is a key asset for web ... Unfortunately, since Python waits for all threads to finish executing before it exits, the program will never exit and the status updater thread ...

I explore the ways you can use threads in Python and the limitations the language puts upon you when doing so. The basic idea behind threading is a simple one: just as the computer can run more than ...

Coroutines or async are a different way to execute functions concurrently in Python, by way of special programming constructs rather than system threads. Coroutines are also managed by the Python ...

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism. Multithreading and parallel ...

Even though scripting and automation cover a large ... Lock (GIL), a thread-synchronization mechanism that’s kept Python threads from being properly concurrent. Removing the GIL is a complex ...

Python's "multiprocessing" module feels like threads ... Perhaps the biggest difference, at least to anyone programming with threads and processes, is the fact that threads share global variables. By ...

Guido van Rossum, who created popular programming language Python 30 years ago ... I/O-bound code, multi-threading code, and code that's algorithmically inefficient.

In the main thread, I occasionally need to ask the user to take some action. Which means I need to suppress the logger from actually printing until the user has a chance to make a decision.