🔀Python is multi-threaded, but threads cannot execute simultaneously
💻Threads have access to the data within the process memory space
🔄Processes are handled by the operating system
🧩Threads are non-parallel but thread-safe
🔐Threads perform well for IO-limited tasks
Can Python execute threads simultaneously?
—No, threads in Python cannot execute simultaneously. Although Python is multi-threaded, threads cannot run concurrently.
What is the difference between threads and processes in Python?
—Threads have access to the data within the process memory space, while processes have separate data spaces. Threads are non-parallel but thread-safe, while processes can execute simultaneously.
Does the CPython interpreter handle threads or processes?
—The CPython interpreter handles threads, while the operating system handles processes.
Which performs better in IO-limited tasks: threads or processes?
—Threads perform well in IO-limited tasks, as they spend most of their time waiting for data to come in.
Are threads in Python parallel?
—No, threads in Python are not parallel. They are concurrent but not simultaneous.
00:01Python is both multi-threaded and multi-processed.
00:30A thread is the smallest sequence of instructions managed by the operating system.
03:56In Python, threads cannot execute simultaneously, but processes can.
05:46Threads are non-parallel but thread-safe, which guarantees no deadlocks.
09:59Threads in Python cannot execute simultaneously, but they are useful for IO-limited tasks.
