Distributed Tasks Demystified with Celery, SQS & Python

Category: Tutorial

Posted on 2018-08-08, updated at 2018-10-06, by voska89.


Distributed Tasks Demystified with Celery, SQS & Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | Lec: 38 | 1.29 GB
Genre: eLearning | Language: English

Conjure up your first Python scalable background worker

This course teaches beginners to industry professionals the fundamental concepts of Distributed Programming in the context of python & Django. We look at how to build applications that increase throughput and reduce latency. In this course, we will take a dive intially in the irst part of the course and build a strong foundation of asynchronous parallel tasks using python-celery a distributed task queue framework. We will explore AWS SQS for scaling our parallel tasks on the cloud. These fundamentals will aid you in building scalable Python solutions for virtually any python project. By the end of this course, you will have learnt how to use popular distributed programming frameworks for python and Django. Through concepts learnt, you will discover the world of distributed computing with Python and how easy it is to build distributed components into your python or Django projects.

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