, only one thread can execute Python code at once (even though certain performance-oriented libraries might overcome this limitation).
Note that some platforms may have particular restrictions on values for the stack size, such as requiring a minimum stack size 32k B or requiring allocation in multiples of the system memory page size - platform documentation should be referred to for more information (4k B pages are common; using multiples of 4096 for the stack size is the suggested approach in the absence of more specific information). Detailed interfaces for the objects are documented below.
The design of this module is loosely based on Java’s threading model.
However, where Java makes locks and condition variables basic behavior of every object, they are separate objects in Python.
Python’s class supports a subset of the behavior of Java’s Thread class; currently, there are no priorities, no thread groups, and threads cannot be destroyed, stopped, suspended, resumed, or interrupted.
The static methods of Java’s Thread class, when implemented, are mapped to module-level functions. The significance of this flag is that the entire Python program exits when only daemon threads are left.
All of the methods described below are executed atomically. The initial value is inherited from the creating thread.
The flag can be set through the Note Daemon threads are abruptly stopped at shutdown.
Their resources (such as open files, database transactions, etc.) may not be released properly.
If you want your threads to stop gracefully, make them non-daemonic and use a suitable signalling mechanism such as an There is a “main thread” object; this corresponds to the initial thread of control in the Python program. There is the possibility that “dummy thread objects” are created.