Informatyka
Amit Malik
Windows Azure Pack is an on-premises cloud solution by Microsoft, which can be leveraged by Organizations and Services providers for building an enterprise class cloud solution. WAP provides consistent experience to Microsoft Azure, along with capabilities such as multi-tenancy, high density, self-service, automated. WAP can be leveraged to provide both IaaS & PaaS Offerings to internal and external customers. In this book, we will learn about planning and deployment of Cloud Fabric for Windows Azure Pack, Azure Pack components, VM Clouds and IaaS offerings, PaaS Offering including WebSites & Service Bus, DBaaS offerings, Automation with SMA, and extending capabilities with third party products integration and tenant experience for all services.
Tim O'Brien
Learn how to build GenAI applications using proven software engineering patterns instead of rapidly changing frameworks. This book helps engineers build secure, scalable agentic systems with familiar tools and practical, engineer-to-engineer architectural guidance.You will connect GenAI concepts such as agentic workflows, embeddings, and vector databases to enterprise patterns, including components, adapters, and microarchitectures. Established GoF and enterprise design patterns help explain agentic behavior and system design, enabling you to reason about architecture rather than memorize tools. The book also shows you how to generate multi-agent and GenAI patterns as RabbitMQ configurations for scalable orchestration and communication.Using language-agnostic examples and widely used messaging, orchestration, and data technologies, you will build production-ready systems that integrate with existing infrastructure without unnecessary complexity. You will also use our Topologos prompt to build, modify, and test deploy-ready multi-agent systems quickly while improving robustness and maintainability.By the end of this book, you will be able to design reliable GenAI systems, make informed architectural decisions, and adapt confidently as tools and frameworks evolve.*Email sign-up and proof of purchase required
David Millán Escrivá, Prateek Joshi, Vinícius G....
OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation.This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books:•Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá•Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi
Mark Polino
Accounting systems like Microsoft Dynamics GP 2013 hold a wealth of information. Excel 2013 provides a great tool for linking to, extracting, analysing, and presenting that rich data to help companies make better, faster, and smarter decisions.Building Dashboards with Microsoft Dynamics GP 2013 and Excel 2013 covers how to get the rich, detailed information contained in Microsoft Dynamics GP 2013 and present it in an attractive, easy-to-understand way using Excel 2013. The book shows in detail how to build great-looking dashboards that enhance a company's decision-making process.This book shows you how to get at the rich, detailed information contained in Microsoft Dynamics GP 2013 and present it in an attractive, easy-to-understand way using Excel 2013. This guide will take you from the basics of setup and deployment to creating secure, refreshable Excel reports. Using a whole host of tools available within Excel, this tutorial will show you how to visualize your data using simple conditional formatting techniques, easy-to-read charts, and allow you to make your data interactive with Slicers.Building Dashboards with Microsoft Dynamics GP 2013 and Excel 2013 provides a way for you to easily build that interactive dashboard that your CFO keeps asking for.
Belinda Allen, Mark Polino
Microsoft Dynamics GP is a complete ERP solution that is extremely beneficial for small to midsize organizations in helping them grow exponentially.The book shows you in detail how to build great-looking dashboards with Microsoft Dynamics GP that enhance a company’s decision-making processes. This guide will take you from the basics of setting up and deploying to creating secure, refreshable Excel reports. Using a whole host of tools available within Microsoft Dynamics GP and Excel, this tutorial will show you how to visualize your data using simple conditional formatting techniques and easy-to-read charts, and allow you to make your data interactive with slicers. We will also cover core topics such as Business Analyzer, Microsoft SQL Reporting services reports, BI360, and more. You will find out to use Power BI, share and refresh data and dashboards in Power BI, and use Power BI Query Editor.By the end of this book, you will have all the information required to build interactive dashboards using Dynamics GP.
François Voron
Building Data Science Applications with FastAPI is the go-to resource for creating efficient and dependable data science API backends. This second edition incorporates the latest Python and FastAPI advancements, along with two new AI projects – a real-time object detection system and a text-to-image generation platform using Stable Diffusion. The book starts with the basics of FastAPI and modern Python programming. You'll grasp FastAPI's robust dependency injection system, which facilitates seamless database communication, authentication implementation, and ML model integration. As you progress, you'll learn testing and deployment best practices, guaranteeing high-quality, resilient applications. Throughout the book, you'll build data science applications using FastAPI with the help of projects covering common AI use cases, such as object detection and text-to-image generation. These hands-on experiences will deepen your understanding of using FastAPI in real-world scenarios. By the end of this book, you'll be well equipped to maintain, design, and monitor applications to meet the highest programming standards using FastAPI, empowering you to create fast and reliable data science API backends with ease while keeping up with the latest advancements.
Andrei Gheorghiu
Large language models can generate impressive responses, but they often struggle with outdated knowledge, limited access to proprietary data, hallucinations, and inconsistent reasoning in real-world applications. LlamaIndex addresses these challenges through RAG, enabling developers to connect LLMs with external data sources and build more reliable AI applications.This fully updated second edition reflects the latest evolution of the LlamaIndex ecosystem. You will learn how to ingest and parse data from multiple sources, build optimized indexes, and implement advanced retrieval strategies for high-quality RAG applications.The book introduces modern agentic AI patterns using LlamaIndex Workflows, chat engines, agents, and multi-agent orchestration. You will also explore observability and RAG evaluation, prompt engineering best practices, and deployment strategies using Streamlit.Throughout the book, you will build a practical Contract Review Expert application that evolves chapter by chapter from a simple query engine into a fully deployed AI-powered web application. You will also learn how to use enterprise tooling such as LlamaParse alongside open source alternatives such as LiteParse.By the end of this book, you will be able to design, build, evaluate, and deploy scalable LlamaIndex applications grounded in your own data.*Email sign-up and proof of purchase required
Andrei Gheorghiu
Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.