What is Multithreading In Python | Python Multithreading Tutorial | Edureka
3 likes3,151 views
This document discusses multithreading in Python. It defines multitasking as the ability of an operating system to perform different tasks simultaneously. There are two types of multitasking: process-based and thread-based. A thread is a flow of execution within a process. Multithreading in Python can be achieved by importing the threading module. Multithreading is useful when multiple independent tasks need to be performed. The document outlines three ways to create threads in Python: without creating a class, by extending the Thread class, and without extending the Thread class. The advantages of multithreading include enhanced performance, simplified coding, and better CPU utilization.
What is Multithreading In Python | Python Multithreading Tutorial | Edureka
- 2. www.edureka.co/python What is Multitasking in Python? What is a thread? How to achieve Multithreading in Python? When to use Multithreading in Python? How to create Threads in Python? • Without creating a class • By extending Thread class • Without extending Thread class Advantages of Multithreading Types of Multitasking
- 3. What is Multitasking in Python? www.edureka.co/python
- 4. www.edureka.co/python What is Multitasking in Python? Multitasking refers to the ability of an operating system to perform different tasks at the same time
- 5. Types of Multitasking www.edureka.co/python
- 6. www.edureka.co/python Types of Multitasking Process Based Multiple threads running on the same OS simultaneously. Example: Downloading, listening to songs and playing a game.. 01 Thread Based Single process consisting of separate tasks. Example: A game of FIFA consists of various threads. . 02 There are two types of multitasking in an OS: www.edureka.co/python
- 7. What is a Thread? www.edureka.co/python
- 8. www.edureka.co/python What is a Thread? Thread 1 Thread2 Main Code Thread 3 … Thread n
- 9. How to Achieve Multithreading in Python?www.edureka.co/python
- 10. Multithreading in Python can be achieved by importing the threading module. www.edureka.co How to Achieve Multithreading in Python conda install -c conda-forge tbb Importing importthreading fromthreadingimport* www.edureka.co/python
- 11. When to use Multithreading in Python?www.edureka.co/python
- 12. www.edureka.co/python When to use Multithreading in Python? Multithreading in Python can be used when: Multiple tasks need to achieved Tasks do not have interdependency.
- 13. How to Create Threads in Python? www.edureka.co/python
- 14. www.edureka.co/python How to Create Threads in Python? 01 Without creating a class 02By extending Thread class 03 Without extending Thread class
- 15. www.edureka.co/python Without creating a class from threading import * print(current_thread().getName()) def mt(): print("Child Thread") child=Thread(target=mt) child.start() print("Executing thread name :",current_thread().getName())
- 16. www.edureka.co By extending Thread class import threading import time class mythread(threading.Thread): def run(self): for x in range(7): print("Hi from child") a = mythread() a.start() time.sleep(1) print("bye",current_thread().getName ()) www.edureka.co/python
- 17. www.edureka.co/python Without extending Thread class from threading import * class ex: def myfunc(self): for x in range(7): print("Child") myobj=ex() thread1=Thread(target=myobj.myfunc) thread1.start() #threading.active_count() thread1.join() thread1.join() print("done") www.edureka.co/python
- 18. Advantages of Multithreading www.edureka.co/python
- 19. Advantages of Multithreading Enhanced performance by decreased development time Simplified and streamlined program coding Simultaneous and parallelized occurrence of tasks Better use of CPU resource www.edureka.co/python
- 20. Copyright © 2017, edureka and/or its affiliates. All rights reserved. www.edureka.co