The Global Interpreter Lock $($GIL$)$ serves as a mutex, allowing only one thread to control the Python interpreter at any given time. While this strategy helps prevent issues like race conditions, it imposes restrictions on the types of applications that can realize substantial speed enhancements through multithreading in Python. Among the following application types, which one experiences LEAST speed improvements using multithreading in Python? I$/$O bound applications Memory$-$bound applications Compute$-$bound applications Network$-$bound applications