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Mastering Python Networking

You're reading from   Mastering Python Networking Utilize Python packages and frameworks for network automation, monitoring, cloud, and management

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803234618
Length 594 pages
Edition 4th Edition
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Author (1):
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Eric Chou Eric Chou
Author Profile Icon Eric Chou
Eric Chou
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Toc

Table of Contents (19) Chapters Close

Preface 1. Review of TCP/IP Protocol Suite and Python 2. Low-Level Network Device Interactions FREE CHAPTER 3. APIs and Intent-Driven Networking 4. The Python Automation Framework – Ansible 5. Docker Containers for Network Engineers 6. Network Security with Python 7. Network Monitoring with Python – Part 1 8. Network Monitoring with Python – Part 2 9. Building Network Web Services with Python 10. Introduction to Async IO 11. AWS Cloud Networking 12. Azure Cloud Networking 13. Network Data Analysis with Elastic Stack 14. Working with Git 15. Continuous Integration with GitLab 16. Test-Driven Development for Networks 17. Other Books You May Enjoy
18. Index

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In the previous chapters, we have been interacting with the network devices directly via API or other Python libraries that abstracted us from the low-level interactions with the remote device. When we need to interact with multiple devices, we use loops to allow us pragmatically execute commands. One issue that we might start to see is that the end-to-end process begins to slow down when we need to interact with many devices. The bottleneck is usually the time spent waiting between the time we send the command until we receive the proper response from the remote device. If we need to spend 5 seconds of wait time per operation, we could wait for a few minutes when we need to operate on 30 devices.

This is partially true because our operations are sequential. We are only operating on one device at a time, in sequence. What if we can process multiple devices at the same time? That would speed things up, right? Yes,...

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