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Udemy – Complete Guide to Python Multithreading and Multiprocessing 2024-3

Udemy – Complete Guide to Python Multithreading and Multiprocessing 2024-3

Published on: 2024-10-30 23:18:31

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Description

The Complete Guide to Python Multithreading and Multiprocessing course. This comprehensive course introduces you to the world of parallel programming in Python. Whether you’re looking to increase the performance of your programs or are curious about how concurrent programming works, this course is designed to equip you with the skills and knowledge to master threads and processing in Python. During this course, the basic principles and advanced concepts of multithreading and multiprocessing in Python will be discussed.

What you will learn:

  • Understand the difference between concurrency and parallelism, and when to use each.
  • Check out the thread module to efficiently create, manage, and synchronize threads.
  • Explore Python’s multiprocessing module to run processes in parallel to increase the performance of your applications.
  • Learn about process communication and memory sharing between processes, essential for complex parallel programs.
  • Apply your knowledge through practical, real-world examples, from file searches to web scraping and matrix multiplication.
  • Cover advanced topics such as thread and process pools, deadlock detection, prevention, and debugging techniques for concurrent programming.

This course is suitable for people who:

  • Programmers and developers looking to upgrade their skills with a basic understanding of Python.
  • Software engineers seek to make their programs faster and more efficient through parallel programming.
  • Anyone who is curious about how concurrency works in Python and is eager to apply these concepts to real-world problems.

Course specifications Complete Guide to Python Multithreading and Multiprocessing

Course headings on 2024/4

 Complete Guide to Python Multithreading and Multiprocessing

Prerequisites of the Complete Guide to Python Multithreading and Multiprocessing course

  • Basic Python Knowledge: Familiarity with Python syntax and basic programming constructs such as variables, loops, and functions.
  • Understanding of Python Data Structures: Comfortable working with lists, dictionaries, sets, and tuples.
  • Introductory Level of Object-Oriented Programming: Basic understanding of classes and objects in Python.
  • Software Requirements: Python installed on your computer (version 3.x recommended) along with an integrated development environment (IDE) or text editor of your choice.
  • A Willingness to Learn: An open mind and readiness to dive into the more complex topics of multithreading and multiprocessing.

Course images

Complete Guide to Python Multithreading and Multiprocessing

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download file – 692 MB

File(s) password: www.downloadly.ir

File size

692 MB

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