What you would learn in Distributed Tasks Demystified with Celery, SQS & Python course?
This course is designed to teach beginners and professionals in the industry the fundamentals of Distributed programming in the context of Python and Django. We explore ways to develop applications that boost throughput and decrease the amount of latency. The course will focus on how to increase throughput and reduce latency. We'll start by taking a deep dive at the beginning of the course. We will build a solid foundation for Asynchronous parallel tasks using python-celery, an open source developed distributed task queue. We will also explore AWS SQS to scale our parallel tasks in the cloud. These basic concepts will assist you in developing robust Python solutions for almost every Python project. At the end of this course, you'll be able to utilize popular distributed programming frameworks like Python and Django. With your acquired knowledge, you will learn about the possibilities of distributed computing using Python and discover how simple it is to incorporate distributed components in your Python or Django projects.
Why should you take the course?
To become a Python developer as well as a Django Web application developer, it's essential to understand how to create applications that can handle long-running jobs as well as tasks in a non-blocking method, e.g., sending out mass emails and mapping reduce. It is also able to run the high-performance computation. I am making a chat application.
This course will help you build your knowledge of distributed programming, giving you the tools to expand your applications.
The course consists of applications you can implement in real-world projects with the sole intention of allowing your application to become distributed and incorporate an asynchronous component.
While you are in the program, students will have access online to the instructor and receive personalized responses to your questions on forums.
The fundamentals of multithreading in Python
How can you accomplish distributed tasks using Python and Django
Create message-passing communication between processes to create parallel applications
How can you scale your business on the cloud using AWS Simple Queue Service (SQS)
Learn how to construct a distributed social media data ingestor
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