Poor multithreading

While Python does have a threading module, it is not truly multithreaded due to the Global Interpreter Lock (GIL). The GIL ensures that only one thread can execute Python bytecode at a time, even on multi-core systems. This means that while multiple threads can be created in Python, they cannot run in parallel, limiting the potential performance gains from using multithreading.

This can be a disadvantage for applications that require high levels of concurrency or parallelism, such as scientific computing or real-time systems. However, there are workarounds such as using multiprocessing or using other languages with Python for specific tasks that require true multithreading support.