The BrokenProcessPool error occurs when using Python’s concurrent.futures.ProcessPoolExecutor or multiprocessing.Pool(). It indicates that the worker processes in the pool have failed, usually due to crashes, timeouts, or pickling issues. 1…..
If a process is still running after a termination request, it could be due to several reasons. Below are common causes and solutions: Common Causes and Solutions 1. Process Not….
Deadlock is a common problem in concurrent programming that occurs when two or more threads are waiting for each other to release a resource, creating a cycle where none of….
This error occurs when you attempt to call .start() on a thread that is already running. In Python, a thread can be started only once, and trying to restart an….
This error occurs when you try to start a Python thread more than once using the threading module. A thread can only be started once, and attempting to restart an….
When a function calls itself too many times without a proper exit condition, it leads to stack overflow, causing the error: RecursionError: maximum recursion depth exceeded 1. Causes of Deep….
When your Python program opens too many files without closing them properly, it exceeds the system limit, leading to the error: OSError: [Errno 24] Too many open files or IOError:….
Garbage collection (GC) in Python automatically frees up memory when objects are no longer needed. However, in some cases, memory is not released as expected. This can cause high memory….
The error MemoryError: out of memory while creating large objects occurs when Python runs out of RAM while trying to allocate a large amount of memory for an object. This….
In Python, async and await are central to asynchronous programming. These keywords are part of the asyncio framework, which allows you to write concurrent code that can handle I/O-bound tasks….
