Explain what a data race condition is in Python applications and why it is dangerous?

A race condition in Python occurs when multiple threads access and modify a shared resource simultaneously without proper synchronization. This leads to unpredictable program behavior and errors.

Why is this dangerous:

• The program's outcome becomes unstable and depends on the order of thread execution.
• Hard-to-reproduce bugs may occur.
• Data integrity is compromised, which can lead to program state corruption.

Example:

import threading

counter = 0

def increment():
    global counter
    for _ in range(100000):
        counter += 1  # non-atomic operation

threads = [threading.Thread(target=increment) for _ in range(2)]
for t in threads:
    t.start()
for t in threads:
    t.join()

print(counter)  # expected 200000, but may be less due to race conditions

To prevent race conditions, use locks (threading.Lock) or other synchronization mechanisms.