Using Processes
Learn how to use Python's multiprocessing module to bypass the Global Interpreter Lock, enabling you to scale CPU usage efficiently. This lesson covers creating processes, managing shared data safely, and using process pools to parallelize workloads for faster performance.
We'll cover the following...
We'll cover the following...
Threads and GIL
Since multithreading is not a perfect scalability solution because of the Global Interpreter Lock (GIL), using processes instead of threads is a good alternative. Python obviously exposes the OS fork system call to create new processes. However, in most cases, this approach is a little bit too
low-level to be interesting.
Threads and Global Interpreter Lock (GIL)
multiprocessing.Process
Instead, the multiprocessing package is a good, higher-level alternative. It provides an ...