Definition:
Multithreading in Python involves running multiple threads within a single process to perform concurrent tasks, allowing for parallel execution and improved efficiency.
Examples:
[pastacode lang=”python” manual=”import%20threading%0A%0Adef%20task()%3A%0A%0A%C2%A0%C2%A0%C2%A0%20for%20i%20in%20range(5)%3A%0A%0A%C2%A0%C2%A0%C2%A0%C2%A0%C2%A0%C2%A0%C2%A0%20print(i)%0A%0AThread%20%3D%20threading.Thread(target%3Dtask)%0A%0AThread.start()%0A%0AThread.join()%C2%A0″ message=”” highlight=”” provider=”manual”/]Output
[pastacode lang=”python” manual=”0%0A1%0A2%0A3%0A4%0A” message=”” highlight=”” provider=”manual”/]Features:
- Threads execute tasks simultaneously
- Threads share memory and resources
- Threads have less overhead compared to processes.
Advantages:
- Can perform multiple operations concurrently
- Keeps applications responsive by handling background tasks
- Threads share data and resources
Uses:
- Ideal for tasks that involve waiting for I/O operations
- Allows background tasks to run without interrupting
- Useful for applications that require multiple tasks
