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Python doesn't support multi-threading because Python on the Cpython interpreter does not support true multi-core execution via multithreading. However, Python does have a threading library. The GIL does not prevent threading.
Both multithreading and multiprocessing allow Python code to run concurrently. Only multiprocessing will allow your code to be truly parallel. However, if your code is IO-heavy (like HTTP requests), then multithreading will still probably speed up your code.
Python is not thread-safe, and was originally designed with something called the GIL, or Global Interpreter Lock, that ensures processes are executed serially on a computer's CPU. On the surface, this means Python programs cannot support multiprocessing.
Test results. The test results show multi-threaded code is indeed significantly slower compared to multi-process code or even serialised execution. Surprisingly the baseline test with no concurrency at all outperformed all of the threaded tests.
To the best of my knowledge, multiple threads can be spawned within the system concurrently but 2 different threads can not access or modify the same resource at the same time. I have even tried many things like creating many threads and putting them in a queue etc. But always I used to hear people say multithreading is not available in Python and that instead you can use multiprocessing to take advantage of multicore CPUs.
I this true? Are Python threads only green threads, not real multithreading? Am I right about the resource locking of Python?
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