Python Threading
- It is a light-weight process and they don’t require more memory overhead they are less expensive than processes.
- A thread has a starting, an execution sequence, and a conclusion. It has an instruction pointer that monitors where inside its context it is currently running.
-
- It can be pre-interrupted.
- It can temporarily be put on hold (also called sleeping) while other threads are running – this is known as yielding.
- The newer threading module included with Python 2.4 provides much more powerful, high-level support for threads than the thread module.
- A Python threading module exposes all the methods of the thread module and it will give several extra methods.
-
- threading.activeCount() – It returns the number of thread objects that are active.
- threading.currentThread() − It returns the number of thread objects in the caller’s thread control.
- threading.enumerate() − It returns a list of all thread objects that are currently active.
- Additionally the methods, and thread module has thread class that implements threading. These methods provided by the Thread class are given below:
-
- run() − This method is the entry point for a thread.
- start() − This method starts a thread by calling the run method.
- join([time]) − This waits for threads to terminate.
- isAlive() − This method checks whether a thread is still executing.
- getName() − This method returns the name of a thread.
- setName() − This method sets the name of a thread.
