Can the list be considered safe for working in a multithreaded environment?

The standard list in Python is not thread-safe for concurrent modifications from multiple threads. Although add or remove operations may seem atomic due to the GIL (Global Interpreter Lock), this does not guarantee correctness in complex scenarios of concurrent access.

If multiple threads modify the list simultaneously (for example, adding and removing elements), race conditions may occur, leading to data corruption or exceptions.

For safe handling of collections in a multithreaded environment, it is recommended to use:

• The queue module (e.g., queue.Queue), which implements thread-safe queues.
• Synchronization mechanisms from the threading module (e.g., Lock, RLock) to protect critical sections when working with the list.

Example of using a lock when working with a list:

import threading

my_list = []
lock = threading.Lock()

def thread_safe_append(item):
    with lock:
        my_list.append(item)

Thus, without additional measures, the list is not considered safe for multithreaded work.