This script demonstrates the use of Python threads to simulate parallel progress updates using a shared variable and a Lock to avoid race conditions.

• Python threading.Thread
• Synchronization with threading.Lock
• Global variables and shared state
• Simulated concurrent work using time.sleep

Two threads increment a shared progress variable by 10 in a loop. A Lock ensures only one thread can modify the shared variable at a time, preventing race conditions.

python3 thread_progress.py