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Mastering Python Networking - Third Edition

Your One-Stop Solution to Using Python for Network Automation, Programmability, and DevOps

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This updated edition of the bestselling guide to mastering Python Networking is tailored for Python 3 and includes the latest advancements in network data analysis, Cloud Networking, Ansible 2.8, and new libraries. It empowers readers to harness Python libraries like pyATS, Nornir, and Ansible for efficient solutions to complex network challenges. The book serves as a bridge for traditional network engineers to transition into network developers, ready for next-generation networking. With a complete revision, the new edition introduces chapters on network data analysis using the ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking. It emphasizes the use of updated libraries with practical examples to ensure clarity and compatibility. Beginning with a fundamental overview of Python, the text illustrates how to interact with both legacy and API-enabled network devices, enabling automation, monitoring, management, and enhanced network security. Readers will learn to integrate Ansible 2.8 for controlling various network devices, utilize Flask for high-level APIs, build virtual networks in AWS and Azure, and apply the Elastic Stack for network data analysis. Additionally, it covers using Jenkins for continuous integration and testing tools like PyTest and Unittest for Test-Driven Network Development. This resource is ideal for network engineers, developers, and SREs interested in leveraging Python for

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Mastering Python Networking - Third Edition, Eric Chou, Michael Kennedy, Mandy Whaley

Jazyk
Rok vydania
2020
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Titul
Mastering Python Networking - Third Edition
Podtitul
Your One-Stop Solution to Using Python for Network Automation, Programmability, and DevOps
Jazyk
anglicky
Rok vydania
2020
Väzba
mäkká
Počet strán
576
ISBN10
1839214678
ISBN13
9781839214677
Série
Hodnotenie
5 z 5
Anotácia
This updated edition of the bestselling guide to mastering Python Networking is tailored for Python 3 and includes the latest advancements in network data analysis, Cloud Networking, Ansible 2.8, and new libraries. It empowers readers to harness Python libraries like pyATS, Nornir, and Ansible for efficient solutions to complex network challenges. The book serves as a bridge for traditional network engineers to transition into network developers, ready for next-generation networking. With a complete revision, the new edition introduces chapters on network data analysis using the ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking. It emphasizes the use of updated libraries with practical examples to ensure clarity and compatibility. Beginning with a fundamental overview of Python, the text illustrates how to interact with both legacy and API-enabled network devices, enabling automation, monitoring, management, and enhanced network security. Readers will learn to integrate Ansible 2.8 for controlling various network devices, utilize Flask for high-level APIs, build virtual networks in AWS and Azure, and apply the Elastic Stack for network data analysis. Additionally, it covers using Jenkins for continuous integration and testing tools like PyTest and Unittest for Test-Driven Network Development. This resource is ideal for network engineers, developers, and SREs interested in leveraging Python for