You can share a queue with workers in the pool using the fork start method and inheritance of global variables or by sharing proxy objects for a queue โฆ
Continue Reading about How to Share a Queue with a Multiprocessing Pool โ
Tutorials
Threads are 4x Faster at Sharing Data Than Processes in Python
Processes are slower at transmitting data than threads. The rationale is that all data transmitted between processes requires the use of โฆ
Continue Reading about Threads are 4x Faster at Sharing Data Than Processes in Python โ
Processes Are About 40x Slower Than Threads in Python
Processes are slow to start, threads are faster. In fact, threads are about 40x faster to create than processes in Python. The difference in โฆ
Continue Reading about Processes Are About 40x Slower Than Threads in Python โ
Forking Processes is 20x Faster Than Spawning in Python
Forking a process is faster than spawning a process in Python. This is generally known, but how much faster is forking and when should we consider โฆ
Continue Reading about Forking Processes is 20x Faster Than Spawning in Python โ
ThreadPool Producer-Consumer Pattern in Python
You can create a producer thread pool and a consumer thread pool connected by a shared queue. This allows many producer tasks to run concurrently โฆ
Continue Reading about ThreadPool Producer-Consumer Pattern in Python โ
Multiprocessing Deadlock in Python
You can identify multiprocessing deadlocks by seeing examples and developing an intuition for their common causes. In most cases, deadlocks can be โฆ
Continue Reading about Multiprocessing Deadlock in Python โ