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Distributed Tasks Demystified with Celery, SQS & Python-P2P

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.

Distributed Tasks Demystified with Celery, SQS & Python-P2P
MP4 | Video: AVC 1280×720 | Audio: AAC 48KHz 2ch | Duration: 4.5 Hours | Lec: 38 | 1.29 GB
Genre: eLearning | Language: English
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  1. Cristiano Ronaldo
    August 8th, 2018 | 11:55
  2. bino
    August 8th, 2018 | 12:18

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