Programowanie

Network Automation Cookbook. Over 100 recipes to effectively configure and manage network infrastructure with Ansible - Second Edition

Christian Adell, Jeffrey Kala, Karim Okasha

Network Automation Cookbook, now in its second edition, is your essential guide to building robust network automation workflows across modern hybrid infrastructures. Building on the foundation laid in the first edition, this version dives deeper into Ansible’s role in automating network infrastructure, expanding coverage to include modern use cases across enterprise and cloud networks.The book introduces Ansible’s core concepts, such as playbooks, inventories, variables, loops, and templates, and progresses to advanced topics such as parallelism, fact caching, custom filters, and modular design. You will automate real-world scenarios using Nokia SR, Cisco IOS, Juniper, and Arista devices in a fully reproducible virtual lab. The chapters also help you explore cloud automation for AWS, Azure, and Google Cloud, and integrate validation tools such as PyATS, Batfish, and Nautobot. New chapters cover event-driven automation, AWX for workflow execution, and Terraform integration. By using hands-on labs and fully reproducible recipes, you can practice real-world scenarios and reinforce your skills.By the end of this book, you’ll be well-equipped with the tools and workflows to automate infrastructure efficiently with Ansible.

Network Automation Cookbook. Proven and actionable recipes to automate and manage network devices using Ansible

Karim Okasha

Network Automation Cookbook is designed to help system administrators, network engineers, and infrastructure automation engineers to centrally manage switches, routers, and other devices in their organization's network. This book will help you gain hands-on experience in automating enterprise networks and take you through core network automation techniques using the latest version of Ansible and Python. With the help of practical recipes, you'll learn how to build a network infrastructure that can be easily managed and updated as it scales through a large number of devices. You'll also cover topics related to security automation and get to grips with essential techniques to maintain network robustness. As you make progress, the book will show you how to automate networks on public cloud providers such as AWS, Google Cloud Platform, and Azure. Finally, you will get up and running with Ansible 2.9 and discover troubleshooting techniques and network automation best practices. By the end of this book, you'll be able to use Ansible to automate modern network devices and integrate third-party tools such as NAPALM, NetBox, and Batfish easily to build robust network automation solutions.

Network Automation with Go. Learn how to automate network operations and build applications using the Go programming language

Nicolas Leiva, Michael Kashin

Go’s built-in first-class concurrency mechanisms make it an ideal choice for long-lived low-bandwidth I/O operations, which are typical requirements of network automation and network operations applications.This book provides a quick overview of Go and hands-on examples within it to help you become proficient with Go for network automation. It’s a practical guide that will teach you how to automate common network operations and build systems using Go.The first part takes you through a general overview, use cases, strengths, and inherent weaknesses of Go to prepare you for a deeper dive into network automation, which is heavily reliant on understanding this programming language. You’ll explore the common network automation areas and challenges, what language features you can use in each of those areas, and the common software tools and packages. To help deepen your understanding, you’ll also work through real-world network automation problems and apply hands-on solutions to them.By the end of this book, you’ll be well-versed with Go and have a solid grasp on network automation.

Network Programming and Automation Essentials. Get started in the realm of network automation using Python and Go

Claus Töpke

Network programming and automation, unlike traditional networking, is a modern-day skill that helps in configuring, managing, and operating networks and network devices. This book will guide you with important information, helping you set up and start working with network programming and automation.With Network Programming and Automation Essentials, you’ll learn the basics of networking in brief. You’ll explore the network programming and automation ecosystem, learn about the leading programmable interfaces, and go through the protocols, tools, techniques, and technologies associated with network programming. You’ll also master network automation using Python and Go with hands-on labs and real network emulation in this comprehensive guide.By the end of this book, you’ll be well equipped to program and automate networks efficiently.

Network Protocols for Security Professionals. Probe and identify network-based vulnerabilities and safeguard against network protocol breaches

Yoram Orzach, Deepanshu Khanna

With the increased demand for computer systems and the ever-evolving internet, network security now plays an even bigger role in securing IT infrastructures against attacks. Equipped with the knowledge of how to find vulnerabilities and infiltrate organizations through their networks, you’ll be able to think like a hacker and safeguard your organization’s network and networking devices. Network Protocols for Security Professionals will show you how.This comprehensive guide gradually increases in complexity, taking you from the basics to advanced concepts. Starting with the structure of data network protocols, devices, and breaches, you’ll become familiar with attacking tools and scripts that take advantage of these breaches. Once you’ve covered the basics, you’ll learn about attacks that target networks and network devices. Your learning journey will get more exciting as you perform eavesdropping, learn data analysis, and use behavior analysis for network forensics. As you progress, you’ll develop a thorough understanding of network protocols and how to use methods and tools you learned in the previous parts to attack and protect these protocols.By the end of this network security book, you’ll be well versed in network protocol security and security countermeasures to protect network protocols.

Network Science with Python and NetworkX Quick Start Guide. Explore and visualize network data effectively

Edward L. Platt

NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use.If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts.By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems.

Neural Network Programming with TensorFlow. Unleash the power of TensorFlow to train efficient neural networks

Manpreet Singh Ghotra, Rajdeep Dua

If you're aware of the buzz surrounding the terms such as machine learning, artificial intelligence, or deep learning, you might know what neural networks are. Ever wondered how they help in solving complex computational problem efficiently, or how to train efficient neural networks? This book will teach you just that.You will start by getting a quick overview of the popular TensorFlow library and how it is used to train different neural networks. You will get a thorough understanding of the fundamentals and basic math for neural networks and why TensorFlow is a popular choice Then, you will proceed to implement a simple feed forward neural network. Next you will master optimization techniques and algorithms for neural networks using TensorFlow. Further, you will learn to implement some more complex types of neural networks such as convolutional neural networks, recurrent neural networks, and Deep Belief Networks. In the course of the book, you will be working on real-world datasets to get a hands-on understanding of neural network programming. You will also get to train generative models and will learn the applications of autoencoders.By the end of this book, you will have a fair understanding of how you can leverage the power of TensorFlow to train neural networks of varying complexities, without any hassle. While you are learning about various neural network implementations you will learn the underlying mathematics and linear algebra and how they map to the appropriate TensorFlow constructs.

Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

V Kishore Ayyadevara

This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach.We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data.Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks.We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems.Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game.By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter.