The key difference between multiprocessing and multithreading is that multiprocessing allows a system to have more than two CPUs added to the system whereas multithreading lets a process generate multiple threads to increase the computing speed of a system. Multiprocessing system executes multiple processes simultaneously whereas, the
Multiprocessing vs Multithreading in Python: What you need to know. by Timber.io What Is Threading? Why Might You Want It? Python is a linear language. However, the threading module comes in handy when you want a little more processing power. Threading in Python cannot be used for parallel CPU computation.
The most prominent advantage of multithreading is the ease with which you can share data between threads (by using variables, objects, and others). It's also very easy to communicate with the thread's parent process.
Considering the points discussed above, multiple process approach should be the default choice in any new designs unless it is proven that it is impossible to accommodate IPC overheads even with
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multiple threads vs multiple processes
