Option 2:<\/strong>\u00a0You bring a friend (or a few friends) with you. Each person takes a separate aisle, grabs items simultaneously, and you all meet up at the checkout. It\u2019s like a synchronized shopping dance, and you finish much faster!<\/p>\n Now, replace \u201cyou\u201d with a computer program, \u201caisles\u201d with tasks, and \u201cfriends\u201d with threads. That\u2019s essentially multi-threading! In the computer world, programs have different tasks to perform, and multi-threading allows them to tackle those tasks simultaneously, making the whole process faster and more efficient.<\/p>\n Think of a thread as a helper inside your computer that can do one thing at a time. If your computer is like a kitchen, a thread is like a little chef handling one task, and when you have many chefs (threads), the kitchen gets things done quicker!<\/p>\n 1. Getting Ready (New): <\/strong>The thread is created but hasn\u2019t started yet.<\/p>\n 2. Time to Work (Runnable\/Ready): <\/strong>Now the Task is assigned, the thread is all set to start the job.<\/p>\n 3. Working Hard (Running\/Active): <\/strong>The thread is actively doing its task, just like a worker doing their job.<\/p>\n 4. Taking a Break (Waiting\/Blocked): <\/strong>Sometimes, the thread needs to wait a bit, like taking a short break until things are ready.<\/p>\n 5. Job Done (Dead\/Terminiated): <\/strong>Finally, the thread finishes its job and is done for the day, just like a worker going home after work.<\/p>\n<\/div>\n<\/div>\n<\/div>\n Python makes things easier with a built-in module The thread class is all you need for creating and using multiple threads in your Python program. There are various ways by which we can create threads<\/p>\n Here is another way of creating the thread is using Inheritance; let’s see how:<\/p>\n To sum it up, in Python, threading is like having multiple workers (threads) doing different jobs at the same time. The program creates a custom thread to perform a specific task concurrently with the main thread. Each thread works independently, allowing the main thread to continue its own tasks. Threading is a handy tool to make programs faster by multitasking effectively.<\/p>\n Related Video<\/strong>\u00a0<\/span>https:\/\/www.youtube.com\/watch?v=GCsCnBnXly8<\/span><\/a><\/p>\n Official Website<\/span><\/strong>\u00a0<\/span>https:\/\/pythonbricks.pythonanywhere.com\/<\/span><\/a><\/p>\n Youtube Channel<\/span><\/strong>\u00a0<\/span>https:\/\/www.youtube.com\/@PythonBricks<\/span><\/a><\/p>\nIn super easy language, what exactly is a thread?<\/strong><\/h2>\n
The thread has to go through various stages of its life<\/strong><\/h2>\n
![](\"https:\/\/miro.medium.com\/v2\/resize:fit:4800\/format:webp\/1*F4zhyqwTTiTPqFfYZi-rjg.jpeg\")
<\/p>\nHow things can be implemented using Python<\/strong><\/h2>\n
threading<\/code>\u00a0which takes care of everything.<\/p>\n![](\"\/blog\/wp-ttn-blog\/uploads\/2024\/02\/1.png\")
<\/p>\nFirstly, let’s create a thread by <\/strong>
Thread<\/strong><\/code>\u00a0class object<\/strong><\/h2>\n<\/div>\n![](\"\/blog\/wp-ttn-blog\/uploads\/2024\/02\/2.png\")
<\/p>\n![](\"\/blog\/wp-ttn-blog\/uploads\/2024\/02\/3.png\")
<\/p>\nSummary<\/strong><\/h2>\n