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Learning Python Networking

You're reading from   Learning Python Networking A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible

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Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789958096
Length 490 pages
Edition 2nd Edition
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Authors (3):
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Dr. M. O. Faruque Sarker Dr. M. O. Faruque Sarker
Author Profile Icon Dr. M. O. Faruque Sarker
Dr. M. O. Faruque Sarker
José Manuel Ortega José Manuel Ortega
Author Profile Icon José Manuel Ortega
José Manuel Ortega
Sam Washington Sam Washington
Author Profile Icon Sam Washington
Sam Washington
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Network and HTTP Programming FREE CHAPTER
2. Network Programming with Python 3. Programming for the Web with HTTP 4. Section 2: Interacting with APIs, Web Scraping, and Server Scripting
5. Application Programming Interface in Action 6. Web Scraping with BeautifulSoup and Scrapy 7. Engaging with Email 8. Interacting with Remote Systems 9. Section 3: IP Address Manipulation and Network Automation
10. Working with IP and DNS 11. Implementing IPv6 and Address Manipulation 12. Performing Network Automation with Python and Ansible 13. Section 4: Sockets and Server Programming
14. Programming with Sockets 15. Designing Servers and Asynchronous Programming 16. Designing Applications on the Web 17. Assessment 18. Another Book You May Enjoy

Building asynchronous network applications with Celery

In this section, you will learn about building asynchronous network applications with the Celery framework.

Celery architecture

Celery is an efficient and scalable way to execute tasks asynchronously and acts as a distributor of high-level tasks where tasks are queued and run concurrently using various paradigms such as multiprocessing or gevent.

An efficient and scalable way to perform tasks asynchronously is to use a queue library as Celery. With this library, you define workers that are processes for executing the heavy tasks. An interesting aspect of this solution is that there can be many workers (even in different servers) executing the tasks.

The architecture of...

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