What is Multithread in Python?

This article will explain What is Multithread in Python and will assist you in understanding threads in Python.

It is a threading approach that permits countless lines to manage together by rapid switching between threads with the contribution of a CPU. Python Training in Chennai provides the most effective programming aid.

  • Multiple threads inside a process share the same data space as the main thread and may thus share information and interact more readily than independent processes.
  • Threads, sometimes known as lightweight processes, do not need significant memory overhead and are thus less expensive than processes. 

Starting a New Thread

The method call instantly returns, and the child thread begins and executes a function with the provided set of arguments.  Python Online Course at FITA Academy is an excellent location to hone your programming skills.

The Threading Module

The updated threading module supplied with Python 2.4 provides far more sophisticated, high-level thread support than the preceding section’s thread module.

Aside from the methods, the threading module includes the Thread class, which implements threading. The Thread class provides the following:

  • The run() function is the thread’s entry point.
  • The run function by the start() method to start a thread.
  • The isAlive() function determines if a thread is still active.
  • The getName() function delivers the thread’s name.
  • The setName() function to change the name of a thread.

Creating Thread Using Threading Module

To use the threading module to create a new thread, perform the following:

  • Create a new Thread class subclass.
  • To add extra parameters, override the method.
  • Then, override the run function to specify what the thread should perform.

Synchronizing Threads

Python’s threading module contains an easy-to-implement locking mechanism that allows you to thread. 

The new lock object’s acquired function is used to compel threads to execute synchronously. You may decide whether the thread waits for the lock by using the optional blocking argument.

Multithreaded Priority Queue

You may use the Queue module to build a new queue object that can store a set number of items.

  • The get() method removes and returns a queue item.
  • The put method adds a new item to a queue.
  • The size() function returns the number of items presently in the queue.
  • The empty() function returns null. If the queue is empty, True; otherwise, False.
  • It produces a result. If a queue is full, True; otherwise, False. Python Training in Bangalore can provide you with in-depth programming skills.