Rust In Practice is an ultimate fast-paced guide for anyone looking to become a practitioner of the rust programming from day 1. This book covers everything from the basics of Rust programming to building robust and efficient applications.

Starting with the fundamentals, this book guides you through the syntax and semantics of the Rust language, including its unique ownership model and type system. You'll learn about common data types, control flow, error handling, and more.

As you progress through the book, you'll dive deeper into advanced topics such as building programs, rust libraries and crates, using the standard library, and working with external crates. You'll also learn how to write concurrent and parallel code, take advantage of Rust's built-in testing features, and use popular Rust frameworks and libraries.

In this book you will learn how to:

• Get well versed with cargo, different cargo commands
• Understanding data types, ownership, and borrowing
• Write flexible, efficient code with traits and generics
• Make use of closures, iterators, and asynchronous programming to write multi-
• threaded programs
• Utilizing collections, strings, text, input and output, macros, and avoiding unsafe
• codes
• Run code testing on different types of rust programs and applications
• 50+ examples covered to demonstrate every feature and functionality of rust

By the end of this book, you'll have a solid understanding of Rust programming and be well-equipped to start building your own robust and efficient applications.

Practical Rust 1.x Cookbook is an in-depth guide for experienced Rust programmers looking to create robust and efficient applications. This solution-focused book covers a wide range of topics, including command-line, webassembly, networking, kubernetes, microservices, and system programming.

This book includes over 100 real-world practical exercises that will teach you how to use the Rust compiler and command-line programming across every stage of software development. Each exercise is intended to reinforce Rust's potential for outperforming legacy applications and bridging the high performance gap. You'll learn about advanced solutions like asynchronous functions, API testing, CI/CD pipelines, Fuzz testing, and microservices architecture as you read the book. You'll also have the chance to put your knowledge to use by solving complex concurrent and parallel code challenges. You'll also get hands-on experience with many of Rust's built-in frameworks and libraries.

Practical Rust 1.x Cookbook is a must-have for both experienced and inexperienced Rust programmers looking to create high-performance and robust applications. This book will help you stay ahead of the curve in Rust programming by providing clear explanations, practical examples, and step-by-step illustrations. Get your copy today and start making the apps you've always wanted to make!

Key Learnings

• Employing declarative and procedural macros, pattern matching, and enums
• Create and test asynchronous code, error handling, and communication patterns.
• Working with deadlocks and livelocks, as well as implementing hash maps and parallel algorithms
• SOAP and REST API development, API orchestration, and performance monitoring
• API layering, middleware programming, and end-to-end API testing
• CI/CD, Docker registry, Kubernetes cluster, YAML files, and load balancers configuration
• Working with fuzz testing, checking syntax, and identifying code vulnerabilities

Table of Content

1. Setting Up and Configuring Rust Environment
2. Hands-on Traits, Enums and Struct
3. Pattern Matching, Concurrency, Pointers and Modules
4. Using Declarative and Procedural Macros
5. Implementing Concurrency and Multithreading
6. Asynchronous Programming
7. Developing REST and SOAP APIs
8. Building Microservices and Architectures
9. Working around CI/CD
10. Working around Kubernetes
11. Fuzz Testing and Static Analysis
12. Code Performance Optimization

With "Mastering Python Network Automation," you can streamline container orchestration, configuration management, and resilient networking with Python and its libraries, allowing you to emerge as a skilled network engineer or a strong DevOps professional.

From the ground up, this guide walks readers through setting up a network automation lab using the NS3 network simulator and Python programming. This includes the installation of NS3, as well as python libraries like nornir, paramiko, netmiko, and PyEZ, as well as the configuration of ports, hosts, and servers. This book will teach you the skills to become a proficient automation developer who can test and fix any bugs in automation scripts. This book examines the emergence of the service mesh as a solution to the problems associated with service-to-service communication over time.

Key Learnings

• Use of Istio for cluster traffic management, traffic routing, and service mesh
• implementation.
• Utilizing Cilium and Calico to solve pod networking and automate network policy
• and workload routing.
• Monitoring and managing Kubernetes clusters with etcd and HAProxy load
• balancers and container storage.
• Establishing network automation lab with tools like NS3 emulator, Python, Virtual
• Environment, and VS Code.
• Establishing connectivity between hosts, port connectivity, SSH connectivity,
• python libraries, NS3, and network encryption.

Table of Content

1. Python Essentials for Networks
2. File Handling and Modules in Python
3. Preparing Network Automation Lab
4. Configuring Libraries and Lab Components
5. Code, Test & Validate Network Automation
6. Automation of Configuration Management
7. Managing Docker and Container Networks
8. Orchestrating Container & Workloads
9. Pod Networking
10. Implementing Service Mesh