Manning Publications – förlag

One of the most powerful ways to understand data is to recognize theways in which each datum—person, product, etc—connects to another.Visualizing these graphs makes it possible to literally see theconnections. The graph model consists of data elements, called nodes,and edges, which are the relationships between these nodes. Graphsmake the relationships between the data elements a core part of thedata structure, which means you can better comprehend the meaning ofyour data. And visual data is easier for everyone to understand. Visualizing Graph Data teaches readers not only how to build graph data structures, but also how to create their own dynamic, interactivevisualizations using a variety of tools. This book is loaded withfascinating examples and case studies to show the real-world value ofgraph visualizations. It begins by teaching fundamental graph conceptsand techniques used to visualize graph data. Next, readers drill down tolearn how to create their own useful visualizations, as well asadditional tools. Readers also learn how to model data, create the bestgraphs for their particular audience, handle big data, and depicttemporal and spatial data. By the end of this book, readers know to askthe right questions of data to create powerful visualizations.  Key Features:• Real-world case studies • Teaches techniques for creating effective visualizations • Shows fundamental visualization concepts • Includes tutorials using the best visualization tools   AUDIENCEA basic understanding of RDBMS systems is assumed. No previousknowledge of graph databases required.  ABOUT THE TECHNOLOGYThe graph way of thinking about data is becoming more and more popularas people value the relationships between bits of data as much as the datathemselves. Key to understanding the complex structure of connected data isbeing able to visualize those connections.

Thanks to jQuery, almost no one remembers the bad old days when developers had to manually manage browser inconsistencies, CSS support, and DOM navigation, and every animation was a frustrating exercise in hand-coded JavaScript. jQuery beautifully manages these concerns, and more, through an elegant, instantly-intuitive library that's become a nearly-universal part of the web. And the latest version of jQuery adds even more features and components to make life as a web developer smooth and productive.   jQuery in Action, Third Edition, is a fast-paced complete guide to jQuery, focused on the tasks faced in nearly any web dev project. Written for readers with minimal JavaScript experience, this revised edition adds new examples and exercises, along with the deep and practical coverage you expect from an "In Action" book. You'll learn how to traverse HTML documents, handle events, perform animations, write plugins, and even unit test your code. The unique lab pages anchor each concept with real-world code. Several new chapters teach you how to interact with other tools and frameworks to build modern single-page web applications.   　 RETAIL SELLING POINTS Complete, up-to-date, fast-paced guide Focuses on tasks faced in nearly any web dev project Revised edition adds new examples and exercises  AUDIENCE Readers need only beginning-level JavaScript knowledge. No prior experience with jQuery is required.  ABOUT THE TECHNOLOGY jQuery is a fast and small JavaScript library that makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler than using native methods.

DescriptionFunctional languages help developers support concurrency by encouraging immutable data structures that can be passed between threads without having to worry about a shared state, all while avoiding side effects.  Functional Concurrency in .NET teaches readers how to build concurrent and scalable programs in .NET using the functional paradigm. This intermediate-level guide is aimed at developers, architects, and passionate computer programmers.  Key Features• In-depth explanations• Hands-on examples• Step-by-step instructions  AudienceThis book is for readers with solid knowledge of a mainstream programming language, preferably C# or F#.  About the technologyTo maximize the utilization of the computational resources available, the Microsoft .NET platform provides parallel execution of code through multithreading. By leveraging parallelism, a program can take full advantage of the resources available.  Riccardo Terrell is a .NET seasoned software engineer, senior software architect and Microsoft MVP who is passionate about functional programming. He is well known and actively involved in the functional programming community including .NET meet ups and conferences and is the organizer for the Washington DC F# User Group.MANNING

JavaScript can be used to control hordes of small robots, creative maker projects, and IoT devices. With the Node.js ecosystem at hand, hardware prototyping gets fun, intuitive and fast.  JavaScript on Things is the first step into the exciting world of programming for small electronics. This fully-illustrated, hands-on book teaches readers how to get going with platforms like Arduino, Tessel, and Raspberry Pi.  Key Features: ·    Fully illustrated·    Hands-on teaching style·    Step-by-step instructions  Written for readers with intermediate JavaScript and Node.js skills. No experience with embedded systems or robotics required.  About the Technology:  There are lots of web developers who have a solid grasp of software but haven't ever worked with hardware. This gap is starting to be filled by an assortment of approaches that use the common programming language of the Web, JavaScript.

Large language models are powerful, but they can be slow, expensive and too general for specific tasks. Many businesses need smaller and faster models that solve their unique problems without high operational costs. To achieve this, you need to go beyond standard fine-tuning. This book shows you how to structurally change large models to make them simple, efficient and specialised.  Learn to reduce model size with effective pruning techniques.  Use knowledge distillation to train smaller but capable models.  Apply fine-tuning to adapt models for specific tasks.  Work with popular open models like Llama 3, Gemma and Qwen.  Understand the balance between a model’s size, speed and cost.  Explore how to make your models more understandable and explainable. Rearchitecting LLMs teaches you structural techniques for creating efficient models. The book provides a practical guide to making language models smaller, faster and cheaper to run. It explains how to move beyond simple fine-tuning and use advanced methods to alter a model's core architecture. You will work with popular open models and learn to adapt them for real-world business needs. After reading this book, you will be able to create capable and cost-effective models customised to your goals. You will have the skills to build efficient AI systems that deliver value without breaking the budget. This book is for practising AI, ML and data engineers who know Python.

We know that AI language models are useful, but sometimes they give answers that are not correct. This happens because they are not connected to a source of real-time facts. To build AI that you can truly trust, you need to give it a way to look up information before it gives an answer. This method is called Retrieval Augmented Generation, or RAG, and this book shows you how it works.  Learn the main ideas behind RAG in simple, easy-to-understand language.  See how RAG has grown from a simple concept into a powerful tool.  Follow step-by-step examples in Python to build your first RAG system.  Learn how to ask questions in a way that helps the AI give better answers.  Find out how to check if your RAG system is working well.  Get help choosing the right design for your own RAG projects. Retrieval Augmented Generation, The Seminal Papers explains the important research that started it all. The original academic papers are translated into simple lessons. The book focuses on using these ideas in practice. The book gives you the tools to understand what makes RAG so effective. After reading this book, you will know how to build AI applications that give trustworthy and fact-based answers. You can create systems that people can rely on for correct information. This book is perfect for students and developers who know the basics of Python and want to build more reliable AI.

Machine learning can feel confusing at first, but it can be easier to understand with the right approach. This book introduces the main ideas in a simple way that you can follow using only high school mathematics. It explains concepts with clear examples and practical exercises that help you apply what you learn. It also introduces recent developments like large language models and generative AI, so you can see how these ideas are used today.  Learn with clear code examples and fun illustrations.  Understand supervised and unsupervised machine learning.  Explore neural networks, regression and probabilistic models.  Discover methods for evaluating and improving your models.  Learn about data pre-processing, feature engineering, transformers and generative AI. Grokking Machine Learning is designed to help you learn machine learning in a clear and simple way. It explains ideas step by step so you can follow along easily. Each chapter introduces an important concept, from neural networks to data preparation and feature selection. You also get examples and exercises that help you practise and apply what you learn. After reading this book, you will be able to understand and build key machine learning algorithms. You will gain the skills to work with modern developments in the field. This book is for readers who know basic Python. No prior knowledge of machine learning is needed

Every time you browse online, recommender systems decide what you see. These algorithms shape your entertainment, news and shopping choices. They can influence what you read, watch and buy. They may seem hidden, but you can learn how they work. Understanding them helps you make better choices online. It also helps you see why certain content is shown to you. This knowledge gives you more control over your digital experience.  Discover where algorithms hide in streaming platforms, social apps and news feeds.  Learn how your online activity is used to reveal surprising truths.  Understand how these systems can amplify extremism and misinformation.  See how artificial intelligence makes algorithmic recommenders even more powerful.  Use the tools provided to reclaim your time, attention and personal agency. Hidden Influences explains the systems that shape what we see online. It shows how recommender systems work in a simple and clear way. You do not need advanced technical knowledge to understand the ideas. After reading this book, you will be able to recognise how these systems influence your choices online. You will better understand why certain content is shown to you. This book is for anyone who wants to understand the algorithms that guide their digital experience.

Software development is a creative activity that needs both skill and careful thinking. This book shows you how to improve your application’s performance and enjoy the process of building software. It helps you write code that is clear, simple and easy to maintain. You will also learn how to design programs in a clean way and avoid common problems.  Create impactful and creative software.  Build strong systems using modularity, cohesion and controlled coupling.  Promote clarity, simplicity and expressive design in your team.  Use Java 25 features like records, lambdas and streams to write clean code.  Improve and refine AI-generated code in practical ways.  Write code that is easy to maintain over the long term. The Art of Code is a practical guide to building high-quality code. It focuses on clear and useful principles. The book helps you recognise and create code that is simple, clean and expressive. It also shows how these qualities improve teamwork and make systems easier to maintain over time. These qualities can be applied to almost any codebase. They improve how your code looks and works. After reading this book, you will be able to write code that is technically strong and easy to work with. It will be clearer, more organised and simpler to maintain. This book is for all programmers. The examples use Java, but the ideas can be applied to any programming language.

Writing software that has direct control over a computer’s hardware can be powerful and rewarding. For many years, developers used languages like C, but managing safety and memory can be difficult. Newer languages like Rust improve safety, but they can be hard to learn. Zig is a modern language that offers control with simplicity. It helps you build fast and reliable applications without unnecessary complexity.  Learn to write useful command-line tools that you can use every day.  Look inside how programming languages work by building your own simple interpreter.  Discover how to create fast and reliable network programs that run in the background.  Build software libraries that you and other developers can share and reuse.  Understand how to write safer code without a complex borrow checker.  See how you can use Zig to work with and improve your existing C projects. Systems Programming with Zig is a practical, project-based guide that teaches you how to write powerful software. It takes you through hands-on projects, starting with the basics and gradually building to more advanced tasks. You will create useful tools such as shell utilities, a language interpreter and simple network applications. After reading this book, you will be confident in building efficient and reliable software. You will understand how to approach problems in a clear and structured way using Zig. This book is for developers at different levels. Experience with low-level programming languages like C, C++ and Rust is helpful, but not required.

Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP.  The design rules for different types of objectsBest practices for naming objectsTesting an object’s behavior instead of its implementationExercises for each chapter to test your design skills

Go from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems.  Learn Docker in a Month of Lunches is a developer-centric tutorial to using Docker in Linux, Windows, and Mac environments. You’ll learn essential Docker techniques, including how to run your own and third-party apps in containers, use a Docker registry to share container images, and confidently deploy containerized apps to production.  Key Features·   How Docker is changing development and operations·   Packaging applications to run in containers·   Putting containers into production·   Building optimized Docker images·   Running containerized apps at scale  For IT professionals. No previous Docker experience required.  About the technology Docker is a simple idea that has revolutionized the software industry. You build small virtual environments, called containers, that contain an application and all its dependencies. Because a container provides everything your application needs to run, they’re portable, fast, and reliable in any cloud or on-prem platform. Docker smooths major modern IT challenges, including cloud migration, legacy app modernization, clean installs, continuous deployment, and much more.  Elton Stoneman is an architect at Docker, a Microsoft MVP and a Pluralsight author. He has used Docker since the earliest releases and helped organizations at every stage in their container journey. He is a regular speaker and workshop instructor at conferences, and distils many years of using and teaching Docker into this book.