Informatyka
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Matthew Weston, Elisa Bárcena Martín
Microsoft Power Apps provides a modern approach to building low-code business applications for mobiles, tablets, browsers, and Microsoft Teams. The second edition of Learn Microsoft Power Apps will guide you in creating well designed and secure apps that transform old processes and workflows.Learn Microsoft Power Apps starts with an introduction to Power Apps to help you feel comfortable with the creation experience. Using screenshots from the latest UI, you will be guided through how to create an app, building your confidence to start developing further. This book will help you design, set up, and configure your first application by writing simple formulas. You'll learn about the different types of apps you can build in Power Apps and which one applies best to your requirements.In addition to this, you’ll learn how to identify the right data storage system for you, with new chapters covering how to integrate apps with SharePoint or Dataverse. As you advance, you’ll be able to use various controls, connectors, and data sources to create a powerful, interactive app. For example, this book will help you understand how Power Apps can use Microsoft Power Automate, Power BI, and Azure functionalities to improve your applications. Finally, you will be introduced to the emerging Power Apps Copilot tool, which uses artificial intelligence to accelerate the app building process.By the end of this Power Apps book, you’ll be ready to confidently develop lightweight business applications with minimal code.
Learn Mistral. Elevating Mistral systems through embeddings, agents, RAG, AWS Bedrock, and Vertex AI
Pavlo Cherkashin
This is a practical, project-driven guide to turning open-source Mistral models into production-ready AI solutions. Through hands-on workshops and use cases, you’ll learn how to build private chat systems, semantic search engines, intelligent agents, coding assistants, and secure deployments that go beyond simple experimentation. The journey begins by exploring where Mistral excels and where human oversight is essential. You’ll then learn to set up a secure, locally hosted chat system with Ollama, customize behavior with system prompts and parameters, and dive deep into embeddings to unlock semantic search with Pinecone. As you progress, you’ll build multi-agent workflows, unpack advanced Retrieval-Augmented Generation pipelines, and integrate Mistral with Codestral to accelerate coding. You'll also learn to apply Mistral to cybersecurity, be challenged with open-ended RAG projects, and be guided through deploying scalable AI on AWS Bedrock and Google Vertex AI.By the end of this book, you will be ready to design and build AI systems that are innovative, compliant, and production-ready.*Email sign-up and proof of purchase required
Christoffer Noring, Dan Wahlin
Learn Model Context Protocol with TypeScript introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale.Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. After that, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components.The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps.*Email sign-up and proof of purchase required
Doug Bierer
When it comes to managing a high volume of unstructured and non-relational datasets, MongoDB is the defacto database management system (DBMS) for DBAs and data architects. This updated book includes the latest release and covers every feature in MongoDB 4.x, while helping you get hands-on with building a MongoDB database app.You’ll get to grips with MongoDB 4.x concepts such as indexes, database design, data modeling, authentication, and aggregation. As you progress, you’ll cover tasks such as performing routine operations when developing a dynamic database-driven website. Using examples, you’ll learn how to work with queries and regular database operations. The book will not only guide you through design and implementation, but also help you monitor operations to achieve optimal performance and secure your MongoDB database systems. You’ll also be introduced to advanced techniques such as aggregation, map-reduce, complex queries, and generating ad hoc financial reports on the fly. Later, the book shows you how to work with multiple collections as well as embedded arrays and documents, before finally exploring key topics such as replication, sharding, and security using practical examples.By the end of this book, you’ll be well-versed with MongoDB 4.x and be able to perform development and administrative tasks associated with this NoSQL database.
Josué R. Batista, Christopher Papile
As the field of generative AI evolves, so does the demand for intelligent systems that can understand human speech. Navigating the complexities of automatic speech recognition (ASR) technology is a significant challenge for many professionals. This book offers a comprehensive solution that guides you through OpenAI's advanced ASR system.You’ll begin your journey with Whisper's foundational concepts, gradually progressing to its sophisticated functionalities. Next, you’ll explore the transformer model, understand its multilingual capabilities, and grasp training techniques using weak supervision. The book helps you customize Whisper for different contexts and optimize its performance for specific needs. You’ll also focus on the vast potential of Whisper in real-world scenarios, including its transcription services, voice-based search, and the ability to enhance customer engagement. Advanced chapters delve into voice synthesis and diarization while addressing ethical considerations.By the end of this book, you'll have an understanding of ASR technology and have the skills to implement Whisper. Moreover, Python coding examples will equip you to apply ASR technologies in your projects as well as prepare you to tackle challenges and seize opportunities in the rapidly evolving world of voice recognition and processing.
Learn OpenGL. Beginner's guide to 3D rendering and game development with OpenGL and C++
Frahaan Hussain
Learn OpenGL is your one-stop reference guide to get started with OpenGL and C++ for game development. From setting up the development environment to getting started with basics of drawing and shaders, along with concepts such as lighting, model loading, and cube mapping, this book will get you up to speed with the fundamentals.You begin by setting up your development environment to use OpenGL on Windows and macOS. With GLFW and GLEW set up using absolute and relative linking done, you are ready to setup SDL and SFML for both the operating systems.Now that your development environment is set up, you'll learn to draw using simple shaders as well as make the shader more adaptable and reusable. Then we move on to more advanced topics like texturing your objects with images and transforming your objects using translate, rotate and scale.With these concepts covered, we'll move on to topics like lighting to enable you to incorporate amazing dynamic lights in your game world.By the end of the book, you'll learn about model loading, right from setting up ASSIMP to learning about the model class and loading a model in your game environment. We will conclude by understanding cube mapping to bring advance worlds to your game.
Learn OpenShift. Deploy, build, manage, and migrate applications with OpenShift Origin 3.9
Denis Zuev, Artemii Kropachev, Aleksey Usov
Docker containers transform application delivery technologies to make them faster and more reproducible, and to reduce the amount of time wasted on configuration. Managing Docker containers in the multi-node or multi-datacenter environment is a big challenge, which is why container management platforms are required. OpenShift is a new generation of container management platforms built on top of both Docker and Kubernetes. It brings additional functionality to the table, something that is lacking in Kubernetes. This new functionality significantly helps software development teams to bring software development processes to a whole new level.In this book, we’ll start by explaining the container architecture, Docker, and CRI-O overviews. Then, we'll look at container orchestration and Kubernetes. We’ll cover OpenShift installation, and its basic and advanced components. Moving on, we’ll deep dive into concepts such as deploying application OpenShift. You’ll learn how to set up an end-to-end delivery pipeline while working with applications in OpenShift as a developer or DevOps. Finally, you’ll discover how to properly design OpenShift in production environments.This book gives you hands-on experience of designing, building, and operating OpenShift Origin 3.9, as well as building new applications or migrating existing applications to OpenShift.
Learn OpenShift. Deploy, build, manage, and migrate applications with OpenShift Origin 3.9
Denis Zuev, Artemii Kropachev, Aleksey Usov
Docker containers transform application delivery technologies to make them faster and more reproducible, and to reduce the amount of time wasted on configuration. Managing Docker containers in the multi-node or multi-datacenter environment is a big challenge, which is why container management platforms are required. OpenShift is a new generation of container management platforms built on top of both Docker and Kubernetes. It brings additional functionality to the table, something that is lacking in Kubernetes. This new functionality significantly helps software development teams to bring software development processes to a whole new level.In this book, we’ll start by explaining the container architecture, Docker, and CRI-O overviews. Then, we'll look at container orchestration and Kubernetes. We’ll cover OpenShift installation, and its basic and advanced components. Moving on, we’ll deep dive into concepts such as deploying application OpenShift. You’ll learn how to set up an end-to-end delivery pipeline while working with applications in OpenShift as a developer or DevOps. Finally, you’ll discover how to properly design OpenShift in production environments.This book gives you hands-on experience of designing, building, and operating OpenShift Origin 3.9, as well as building new applications or migrating existing applications to OpenShift.
Aleksey Usov, Aleksandr Varlamov, Denis Zuev
OpenShift is a powerful enterprise Kubernetes platform that simplifies the development, deployment, and management of containerized applications. Learn OpenShift is a comprehensive, hands-on guide designed for architects, DevOps engineers, SREs, and system administrators who want to take OpenShift 4 from architecture to production deployment. Drawing on the experience of seasoned architects who’ve worked on some of the world’s largest OpenShift projects, this book covers both fundamentals and advanced scenarios rarely discussed elsewhere. You’ll explore OpenShift 4 internals, understand its architecture, master cluster installation and upgrades, and gain deep insights into managing applications, configuring security, application builds, observability, and service mesh. With practical examples and real-world guidance, you’ll confidently deploy OpenShift on bare metal, virtualization, and cloud environments, and learn how to extend, maintain, and operate clusters at scale. By the end of this book, you’ll be able to install, secure, and operate OpenShift 4 clusters in enterprise production environments, deploy containerized applications at scale, and troubleshoot real-world issues with confidence.
Aleksey Usov, Aleksandr Varlamov, Denis Zuev
OpenShift is a powerful enterprise Kubernetes platform that simplifies the development, deployment, and management of containerized applications. Learn OpenShift is a comprehensive, hands-on guide designed for architects, DevOps engineers, SREs, and system administrators who want to take OpenShift 4 from architecture to production deployment. Drawing on the experience of seasoned architects who’ve worked on some of the world’s largest OpenShift projects, this book covers both fundamentals and advanced scenarios rarely discussed elsewhere. You’ll explore OpenShift 4 internals, understand its architecture, master cluster installation and upgrades, and gain deep insights into managing applications, configuring security, application builds, observability, and service mesh. With practical examples and real-world guidance, you’ll confidently deploy OpenShift on bare metal, virtualization, and cloud environments, and learn how to extend, maintain, and operate clusters at scale. By the end of this book, you’ll be able to install, secure, and operate OpenShift 4 clusters in enterprise production environments, deploy containerized applications at scale, and troubleshoot real-world issues with confidence.
Aleksey Usov, Aleksandr Varlamov, Denis Zuev
OpenShift is a powerful enterprise Kubernetes platform that simplifies the development, deployment, and management of containerized applications. Learn OpenShift is a comprehensive, hands-on guide designed for architects, DevOps engineers, SREs, and system administrators who want to take OpenShift 4 from architecture to production deployment. Drawing on the experience of seasoned architects who’ve worked on some of the world’s largest OpenShift projects, this book covers both fundamentals and advanced scenarios rarely discussed elsewhere. You’ll explore OpenShift 4 internals, understand its architecture, master cluster installation and upgrades, and gain deep insights into managing applications, configuring security, application builds, observability, and service mesh. With practical examples and real-world guidance, you’ll confidently deploy OpenShift on bare metal, virtualization, and cloud environments, and learn how to extend, maintain, and operate clusters at scale. By the end of this book, you’ll be able to install, secure, and operate OpenShift 4 clusters in enterprise production environments, deploy containerized applications at scale, and troubleshoot real-world issues with confidence.