Mastering Python Networking: Utilize Python packages and frameworks for network automation, monitoring, cloud, and management

If you're looking to get the foundation and basic structure of python so that you can learn your way into tensorflow and start running epochs on your softmax three layer neural networks, you got to get into the groove somehow and even if you're not a computer person and you're like me who's tossed Pig bellies down a pork assembly line for years, you'll find this book grants you the basic access to python syntax while paying close attention to the scope of function and implementing callbacks while learning how to assemble.json objects organize a raise, cut them subtract from them add to them and so on. I'm going to like my new job as a software engineer the guys at the slaughterhouse are going to be jealous as heck when I start banging my face on those keys and making money come out. Pigbellies going down the shoot, going to train retrain and install Transformers to model large language samples and pay special attention to something called self attention. That's what's going to bring in the money for a new pickup truck and a donkey. When you start talking about self-attention and attention heads you start looking at the interrelationships between words as a matrices that helps computers crack what we call intelligent speech or sentient reasoning with language. I wonder when they'll be able to do that with bacon.

I found Eric on linked learning. He seems passionate about sharing his knowledge and mistakes so that we don’t make them. I highly encourage everyone to read this book as he tells you here to dive deeper in many cases.

Finally I got it, now let get starter

Overall it is a pretty good book that covers a lot of different networking use cases. I didn't give it five stars because it seemed to use vendor proprietary techniques versus using open standards. For example the section on LLDP could have used SNMP tables to retrieve the data in a vendor agnostic way. That alone would have shown an example of collecting table data (with rows and columns) from SNMP which is very useful to network administration. I am not faulting the author's lab setups, which in themselves are very useful. I just don't agree with using a vendor specific method of gathering information when a non-vendor specific method is available. I think that using non-vendor specific methods prevent having to re-write software when a new piece of equipment is added to the network. Other than that, I thought the book was useful and informative.

A must have for anyone interested in DevOps from a network engineering perspective.

I went into Mastering Python Networking with fresh eyes since this isn’t a topic I’ve worked with before. The book turned out to be a solid guide that walks you from the basics of Python in a networking context all the way into more advanced automation practices. It’s laid out in a very practical way — each chapter builds on the previous one, and it mixes concepts with examples that actually make sense in the real world. What I appreciated most is how balanced it is. Beginners can follow along without getting overwhelmed, and experienced engineers will appreciate how deep the author goes into APIs, automation frameworks, Netmiko, NAPALM, Ansible, and modern network programmability. The later sections get into SDN, containers, and cloud-driven network automation, which opens up your perspective fast. I learned something new on every chapter, and the way it’s structured keeps you moving forward instead of getting stuck. Huge thanks to Meghal from Packt for sharing this eBook with me — definitely worth the read.

The book lacks technical depth but achieves having a wide breadth of knowledge to help people get familiar with the networking space. This is particularly advantageous if you are very new and don't know where to start.

Every discipline within IT has a few recognizable authorities; in the domain of automating network engineering Eric Chou is a name you should remember. The name of the book is "Mastering Python Networking", but the scope of coverage extends well beyond Python scripting - at least half the book is on other topics (this is a feature, not a bug). As such, It's a primary reference for anything related to the basics of network automation for both premises DCs and cloud. This is the fourth edition, and somehow it just keeps getting better. A review of the chapter title explains why it's my go-to: Chapter 1: Review of TCP/IP Protocol Suite and Python Chapter 2: Low-Level Network Device Interactions Chapter 3: APIs and Intent-Driven Networking Chapter 4: The Python Automation Framework – Ansible Chapter 5: Docker Containers for Network Engineers Chapter 6: Network Security with Python Chapter 7: Network Monitoring with Python – Part 1 Chapter 8: Network Monitoring with Python – Part 2 Chapter 9: Building Network Web Services with Python Chapter 10: Introduction to Async IO Chapter 11: AWS Cloud Networking Chapter 12: Azure Cloud Networking Chapter 13: Network Data Analysis with Elastic Stack Chapter 14: Working with Git Chapter 15: Continuous Integration with GitLab Chapter 16: Test-Driven Development for Networks With this broad coverage, I am using this alone to bring my team of experienced CLI-fluent network security engineers up to speed on network automation and its related concepts (Infrastructure as Code, DevOps, CI/CD, version control, cloud-based networking, etc.). In short, a network engineer seeking to specialize in automation (NetDevOps) can get quite far using this text alone. Consider it an essential addition to your network engineering library. Finally, Eric - if you're reading this - you should convince Packt to name the fifth edition "The Network Automation Bible"...before O'Reilly publishes something under that title. [Full disclosure: my review is based on an Early Review Copy I received from Packt]

Eric's approach is so diligent that you can easily digest the topics, that are being represented. I totally recommend this book both to novice and experienced Network engineers, with or without prior experience in Python

Just started reading and without a doubt this is one of the Best books Mastering Python networking and automation.. Highly recommended... Five Stars *****