Packt
Concurrent and Parallel Programming in Python
Packt

Concurrent and Parallel Programming in Python

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the fundamental concepts of concurrent and parallel programming in Python.

  • Implement threading, multiprocessing, and asynchronous programming techniques.

  • Design multi-process programs that execute faster and more efficiently.

  • Apply techniques to distribute workloads across all available CPU cores on a machine.

Details to know

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Recently updated!

September 2024

Assessments

1 assignment

Taught in English

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There are 3 modules in this course

In this module, we will delve into the fundamentals of threading in Python. We'll start with an introduction to threading, multiprocessing, and asynchronous programming concepts. Then, we will explore the creation and management of threads, develop practical applications like a Wikipedia reader and Yahoo Finance reader, and integrate advanced features such as queues, schedulers, and locking mechanisms to optimize our concurrent and parallel programming skills.

What's included

14 videos1 reading

In this module, we will explore the powerful capabilities of multiprocessing in Python. We'll begin with an introduction to the core concepts and advantages of using multiprocessing. Next, we will dive into practical implementations, including the use of multiprocessing queues, pools, and advanced techniques for handling multiple arguments and tasks. Finally, we will cover methods for efficiently processing and checking elements in lists within specific ranges, ensuring optimal performance in concurrent and parallel programming tasks.

What's included

6 videos

In this module, we will cover the essentials of asynchronous programming in Python. We'll start with an introduction to writing asynchronous programs and managing asynchronous tasks. You'll learn to use the async gather method and implement timeouts for handling multiple asynchronous operations effectively. We will also explore creating asynchronous for loops and using various asynchronous libraries. Finally, we'll delve into combining asynchronous programming with multiprocessing to achieve the highest level of concurrency and performance in your Python applications.

What's included

8 videos1 assignment

Instructor

Packt
Packt
170 Courses2,469 learners

Offered by

Packt

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