Techniki programowania

Deciphering Object-Oriented Programming with C++ [WARNING: NOT FOR USE IN OTHER MATERIAL/SEE CONTRACT]. A practical, in-depth guide to implementing object-oriented design principles to create robust code

Dorothy R. Kirk

Even though object-oriented software design enables more easily maintainable code, companies choose C++ as an OO language for its speed. Object-oriented programming in C++ is not automatic – it is crucial to understand OO concepts and how they map to both C++ language features and OOP techniques. Distinguishing your code by utilizing well-tested, creative solutions, which can be found in popular design patterns, is crucial in today’s marketplace. This book will help you to harness OOP in C++ to write better code.Starting with the essential C++ features, which serve as building blocks for the key chapters, this book focuses on explaining fundamental object-oriented concepts and shows you how to implement them in C++. With the help of practical code examples and diagrams, you’ll learn how and why things work. The book’s coverage furthers your C++ repertoire by including templates, exceptions, operator overloading, STL, and OO component testing. You’ll discover popular design patterns with in-depth examples and understand how to use them as effective programming solutions to solve recurring OOP problems.By the end of this book, you’ll be able to employ essential and advanced OOP concepts to create enduring and robust software.

Deep Learning with C++. Design and deploy neural networks using CUDA for high-performance AI in C++

Bill Chen, Vikash Gupta

Deep learning systems often struggle to meet performance demands in real-time and production environments. This book shows you how to build high-performance deep learning systems in C++, enabling efficient and scalable artificial intelligence (AI) in resource-constrained environments where performance matters.You’ll start by setting up a complete C++ deep learning environment and implementing core neural networks from scratch. As you progress, you’ll build advanced architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Generative Adversarial Networks (GANs), and Transformers, using C++, CUDA, and PyTorch’s C++ API. The book then focuses on model quantization and compression. It will guide you through the model deployment process in production with robust monitoring and explainability. You’ll also explore distributed training and techniques for real-time inference in performance-critical domains.By the end of this book, you’ll be able to design, optimize, and deploy deep learning systems in C++ that are production-ready, scalable, and efficient across multiple industries.*Email sign-up and proof of purchase required

Delphi Cookbook. Over 60 hands-on recipes to help you master the power of Delphi for cross-platform and mobile development on multiple platforms - Second Edition

Daniele Teti

Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for Microsoft Windows, Apple Mac OS X, Google Android, and Apple iOS. It helps you to concentrate on the real business and save yourself the pain of wandering amid GUI widget details, or having to tackle inter-platform incompatibilities. It also has a wide range of drag-and-drop controls, helping you code your business logic into your business model, and it compiles natively for desktop and mobile platforms.This book will teach you how to design and develop applications, deploy them on the cloud platform, and distribute them within an organization via Google Play and other similar platforms.You will begin with the basics of Delphi and get acquainted with JSON format strings, XSLT transformations, unicode encodings and various types of streams. We then move on to more advanced topics such as developing higher-order functions and using enumerators and RTTI. You will get an understanding of how Delphi RTL functions and how to use FireMonkey in a VCL application. We will then cover topics such as multithreading, using the parallel programming library and putting Delphi on a server. We will also take a look at the new feature of WebBroker Apache modules and then ride the mobile revolution with FireMonkey. By the end of the book, you will be able to develop and deploy cross-platform applications using Delphi .

Delphi High Performance. Master the art of concurrency, parallel programming, and memory management to build fast Delphi apps - Second Edition

Primož Gabrijelčič

Performance matters! Users hate to use programs that are not responsive to interactions or run too slow to be useful. While becoming a programmer is simple enough, you require dedication and hard work to achieve an advanced level of programming proficiency where you know how to write fast code.This book begins by helping you explore algorithms and algorithmic complexity and continues by describing tools that can help you find slow parts of your code. Subsequent chapters will provide you with practical ideas about optimizing code by doing less work or doing it in a smarter way. The book also teaches you how to use optimized data structures from the Spring4D library, along with exploring data structures that are not part of the standard Delphi runtime library.The second part of the book talks about parallel programming. You’ll learn about the problems that only occur in multithreaded code and explore various approaches to fixing them effectively. The concluding chapters provide instructions on writing parallel code in different ways – by using basic threading support or focusing on advanced concepts such as tasks and parallel patterns.By the end of this book, you’ll have learned to look at your programs from a totally different perspective and will be equipped to effortlessly make your code faster than it is now.

Demystifying Cryptography with OpenSSL 3.0. Discover the best techniques to enhance your network security with OpenSSL 3.0

Alexei Khlebnikov

Security and networking are essential features of software today. The modern internet is full of worms, Trojan horses, men-in-the-middle, and other threats. This is why maintaining security is more important than ever.OpenSSL is one of the most widely used and essential open source projects on the internet for this purpose. If you are a software developer, system administrator, network security engineer, or DevOps specialist, you’ve probably stumbled upon this toolset in the past – but how do you make the most out of it? With the help of this book, you will learn the most important features of OpenSSL, and gain insight into its full potential.This book contains step-by-step explanations of essential cryptography and network security concepts, as well as practical examples illustrating the usage of those concepts. You’ll start by learning the basics, such as how to perform symmetric encryption and calculate message digests. Next, you will discover more about cryptography: MAC and HMAC, public and private keys, and digital signatures. As you progress, you will explore best practices for using X.509 certificates, public key infrastructure, and TLS connections.By the end of this book, you’ll be able to use the most popular features of OpenSSL, allowing you to implement cryptography and TLS in your applications and network infrastructure.

Design Multi-Agent AI Systems Using MCP and A2A. Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows

Gigi Sayfan

Frustrated by opaque agent frameworks that hide how things work? This book gives you complete control by guiding you through building a fully functional, extensible agentic AI framework in Python without relying on external orchestration tools.You’ll begin by implementing a simple tool-using agent, and then gradually extend its capabilities with structured tool schemas, user interfaces, and memory via the Model Context Protocol (MCP). From there, you’ll build collaborative multi-agent systems powered by Agent-to-Agent (A2A) messaging and deploy them in realistic environments. Along the way, you’ll explore secure tool invocation, message routing, observability, and human-in-the-loop workflows.With annotated code, deep engineering insights, and practical deployment patterns, this hands-on guide equips you to build AI agents that reason, plan, act, and adapt, whether you’re shipping production systems or experimenting with cutting-edge LLM-based architectures.Written by Gigi Sayfan, who builds AI agent infrastructure at Perplexity and is a bestselling author with decades of experience in AI and distributed systems, this book gives you the tools and knowledge to engineer your own advanced agentic systems.*Email sign-up and proof of purchase required

Design Patterns and Best Practices in Rust. Enhance your Rust skills by applying idiomatic approaches to real-world software design

Evan Williams, Scott McKay

Many Rust developers run into problems when they try to apply familiar object-oriented or cross-language patterns to Rust projects. These mismatches often lead to confusing compiler errors, awkward workarounds, or brittle code. This book helps you avoid those traps by thinking in Rust and applying idiomatic design patterns that embrace ownership, borrowing, and type safety.The book begins with anti-patterns and common mistakes Rust developers often encounter, including misusing object-oriented thinking, over-relying on Clone, or treating the borrow checker as an obstacle. From there, you’ll explore how to rethink traditional design solutions for Rust, including creational, structural, and behavioral design patterns. You’ll also dive into architectural strategies, type-driven design, and Rust-specific techniques such as TypeState. The final chapter brings these ideas together into a design mindset rooted in idiomatic Rust.By the end of this book, you’ll know how to avoid costly mistakes, apply effective patterns confidently, and design Rust applications that are clean, scalable, and reliable.*Email sign-up and proof of purchase required

Designing and Implementing Microsoft DevOps Solutions AZ 400 Certification Guide. Gain Azure DevOps expertise, pass the AZ-400 with confidence, and boost your cloud career

Werner Rall

The AZ-400 certification proves your ability to design and implement DevOps practices on Microsoft Azure, making it a key step forward for cloud engineers and DevOps professionals. This comprehensive study guide is designed to help you pass the AZ-400 exam on your first attempt, covering every objective in detail.You’ll find clear explanations, end-of-chapter review questions, full-length mock exams, and hands-on solutions that reinforce your understanding. Key topics include continuous integration, continuous delivery, infrastructure as code, containerization, security, and automation.Through practical labs and real-world scenarios, you'll gain the experience needed to apply these concepts in live environments. The book also explores advanced topics such as site reliability engineering, cloud transformation strategies, and compliance.By the end, you will have a solid foundation in Azure DevOps, the ability to deliver secure and reliable deployments, and the confidence to excel in the AZ-400 exam and your DevOps career.