Boosting Performance with Python Multithreading: A Guide to Efficient Parallel Execution

Python Multithreading concept makes it easier for both programmers and end users to get the work done in less amount of time.

Yes in simple what is python multithreading ? performing more than one task at once so that we can make a good use of available time and can provide much faster.

In technical aspects we can say that concurrent execution more than one process in a given amount of time making the proper use of available resources.

Multithreading is a programming technique that allows multiple threads of execution to run concurrently within a single process. In Python, you can use the threading module to create and manage threads.

The threading module provides a Thread class that you can subclass to create new threads. You can also use the Thread class directly to create threads.

Now a days computer is used in almost all the fields. Multithreading plays a key role in the usage of computers all over.Again not only computers but all other gadgets as well like mobile too which we use.

Python Multithreading Video Tutorial :

Implementation of python multithreading is clearly explained in the video tutorial below go through it.

Let’s try to consider a basic example of multi threading.

class Greeting:

       def run(self):
             for i in range(5):
                    print("Welcome")
       

And another class with names and tried to append number to names.

class Names:

       def run(self):
             for i in range(5):
                    print("Henry" + i+1)
       

We have added i + 1 to avoid 0.

Create objects for the two classes

h1 = Greeting()
h2 = Names()

Now run these two classes using objects

h1.run()
h2.run()

output :

Now let us try to run this code and observe how the code runs.Till the time first method completes it execution second method is waiting for it turn to get started.

Welcome
Welcome
Welcome
Welcome
Welcome
Henry 1
Henry 2
Henry 3
Henry 4
Henry 5

Python Multithreading Example :

Let us make use of multithreading here in this example now.

Make use of threading concept to make multithreading. Import the thread and extend it to the classes as below.

In Python, you can use the threading module to create and manage threads. The threading module provides a Thread class that you can subclass to create new threads, or you can use the Thread class directly to create threads. You can pass a target function to the Thread constructor, which will be run in a separate thread when you call the start() method.

from threading import Thread
from time import Sleep

class Greeting(Thread):

       def run(self):
             for i in range(5):
                    print("Welcome ")
                    sleep(1)

class Names:

       def run(self):
             for i in range(5):
                    print(" Henry" + i+1)
       

Now we need to start thread instead of run

h1.start()
h2.start()

output:

Now that we have added sleep(1) and tried to start thread observe output there is a slight delay such that both the methods run in parallel.

Welcome 
Henry 1
Welcome 
Henry 2
Welcome 
Henry 3
Welcome 
Henry 4
Welcome 
Henry 5

To synchronize access to shared resources between threads, you can use synchronization primitives such as locks, semaphores, and condition variables provided by the threading module.

Note that Python also provides a higher-level multiprocessing module that allows you to create and manage multiple processes instead of threads. This can be useful in cases where parallelism needs to be achieved across multiple CPU cores or machines.

If you have any query’s in this tutorial on python multithreading do let us know in the comment section below.If you like this tutorial do like and share us for more interesting updates..

Go through the video tutorial for detailed implementation.Watch the complete video course on python.