Verleger: K-i-s-publishing
Ben Auffarth
ChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications.Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.
Ben Auffarth, Leonid Kuligin
This second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on multi-agent architectures, robust LangGraph workflows, and advanced retrieval-augmented generation (RAG) pipelines.You'll explore design patterns for building agentic systems, with practical implementations of multi-agent setups for complex tasks. The book guides you through reasoning techniques such as Tree-of -Thoughts, structured generation, and agent handoffs—complete with error handling examples. Expanded chapters on testing, evaluation, and deployment address the demands of modern LLM applications, showing you how to design secure, compliant AI systems with built-in safeguards and responsible development principles. This edition also expands RAG coverage with guidance on hybrid search, re-ranking, and fact-checking pipelines to enhance output accuracy.Whether you're extending existing workflows or architecting multi-agent systems from scratch, this book provides the technical depth and practical instruction needed to design LLM applications ready for success in production environments.
Joseph Babcock, Raghav Bali
Become an expert in Generative AI through hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision. This book is your end-to-end guide to creating advanced AI applications, made easy by Raghav Bali, a seasoned data scientist with multiple patents in AI, and Joseph Babcock, a PhD and machine learning expert. Through business-tested approaches, this book simplifies complex GenAI concepts, making learning both accessible and immediately applicable.From NLP to image generation, this second edition explores practical applications and the underlying theories that power these technologies. By integrating the latest advancements in LLMs, it prepares you to design and implement powerful AI systems that transform data into actionable intelligence.You’ll build your versatile LLM toolkit by gaining expertise in GPT-4, LangChain, RLHF, LoRA, RAG, and more. You’ll also explore deep learning techniques for image generation and apply styler transfer using GANs, before advancing to implement CLIP and diffusion models.Whether you’re generating dynamic content or developing complex AI-driven solutions, this book equips you with everything you need to harness the full transformative power of Python and AI.*Email sign-up and proof of purchase required
Joseph Babcock, Raghav Bali
Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI?In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks.There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment.Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation.
Behram Irani, Rahul Sonawane
Many developers face the challenge of managing repetitive tasks and maintaining productivity. This book will help you tackle both these challenges with Amazon Q Developer, a generative AI-powered assistant designed to optimize coding and streamline workflows.This book takes you through the setup and customization of Amazon Q Developer, demonstrating how to leverage its capabilities for auto-code generation, code explanation, and transformation across multiple IDEs and programming languages. You'll learn to use Amazon Q Developer to enhance coding experiences, generate accurate code references, and ensure security by scanning for vulnerabilities. The book also shows you how to use Amazon Q Developer for AWS-related tasks, including solution building, applying architecture best practices, and troubleshooting errors. Each chapter provides practical insights and step-by-step guidance to help you fully integrate this powerful tool into your development process. You’ll get to grips with effortless code implementation, explanation, transformation, and documentation, helping you create applications faster and improve your development experience.By the end of this book, you’ll have mastered Amazon Q Developer to accelerate your software development lifecycle, improve code quality, and build applications faster and more efficiently.
Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
Cuantum Technologies LLC
Generative Deep Learning with Python opens the door to the fascinating world of AI where machines create. This course begins with an introduction to deep learning, establishing the essential concepts and techniques. You will then delve into generative models, exploring their theoretical foundations and practical applications. As you progress, you will gain a deep understanding of Generative Adversarial Networks (GANs), learning how they function and how to implement them for tasks like face generation.The course's hands-on projects, such as creating GANs for face generation and using Variational Autoencoders (VAEs) for handwritten digit generation, provide practical experience that reinforces your learning. You'll also explore autoregressive models for text generation, allowing you to see the versatility of generative models across different types of data. Advanced topics will prepare you for cutting-edge developments in the field.Throughout your journey, you will gain insights into the future landscape of generative deep learning, equipping you with the skills to innovate and lead in this rapidly evolving field. By the end of the course, you will have a solid foundation in generative deep learning and be ready to apply these techniques to real-world challenges, driving advancements in AI and machine learning.
GeoServer Beginner's Guide. Share and edit geospatial data with this open source software server
Stefano Iacovella, Brian Youngblood
GeoServer is an open source server-side software written in Java that allows users to share and edit geospatial data. Designed for interoperability, it publishes data from any major spatial data source using open standards. GeoServer allows you to display your spatial information to the world. Implementing the Web Map Service (WMS) standard, GeoServer can create maps in a variety of output formats. OpenLayers, a free mapping library, is integrated into GeoServer, making map generation quick and easy. GeoServer is built on Geotools, an open source Java GIS toolkit.GeoServer Beginner's Guide gives you a kick start to build custom maps using your data without the need for costly commercial software licenses and restrictions. Even if you do not have prior GIS knowledge, you will be able to make interactive maps after reading this book.You will install GeoServer, access your data from a database, style points, lines, polygons, and labels to impress site visitors with real-time maps.Follow along through a step-by-step guide that installs GeoServer in minutes. Explore the web-based administrative interface to connect to backend data stores such as MySQL, PostGIS, MSSQL, and Oracle. Display your data on web-based interactive maps, style lines, points, polygons, and embed images to visualize this data for your web visitors. Walk away from this book with a working application ready for production.After reading the GeoServer Beginner's Guide, you will have beautiful, custom maps on your website built using your geospatial data.
GeoServer Beginner's Guide. Share geospatial data using Open Source standards - Second Edition
Stefano Iacovella
GeoServer is an opensource server writtenin Java that allows users to share, process,and edit geospatial data. This book willguide you through the new featuresand improvements of GeoServer and willhelp you get started with it. GeoServerBeginner's Guide gives you the impetus tobuild custom maps using your data withoutthe need for costly commercial softwarelicenses and restrictions. Even if you donot have prior GIS knowledge, you will beable to make interactive maps after readingthis book.You will install GeoServer, access your datafrom a database, and apply style points,lines, polygons, and labels to impress sitevisitors with real-time maps. Then youfollow a step-by-step guide that installsGeoServer in minutes. You will explorethe web-based administrative interfaceto connect to backend data stores suchas PostGIS, and Oracle. Going ahead, youcan display your data on web-basedinteractive maps, use style lines, points,polygons, and embed images to visualizethis data for your web visitors. You willwalk away from this book with a workingapplication ready for production.After reading GeoServer Beginner's Guide,you will be able to build beautiful custommaps on your website using your geospatialdata.
Bonny P McClain
Geospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques.You will begin by exploring the fundamentals of geospatial analysis where you’ll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler’s second law of geography states, “the phenomenon external to a geographic area of interest affects what goes on inside.” This quote will be the framework of the geospatial questions we will explore. You’ll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions.By the end of this book, you will have an expanded toolbox of analytic skills such as PostGIS and QGIS to explore data questions and analysis of spatial information.
Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
Scott Bateman, Janahan Gnanachandran, Jeff DeMuth
Managing geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data.You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning.By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.
Abdishakur Hassan, Jayakrishnan Vijayaraghavan
Data scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial intelligence to build effective, intelligent data models that make use of location-based data to give useful predictions and analyses.This book begins with a quick overview of the fundamentals of location-based data and how techniques such as Exploratory Data Analysis can be applied to it. We then delve into spatial operations such as computing distances, areas, extents, centroids, buffer polygons, intersecting geometries, geocoding, and more, which adds additional context to location data. Moving ahead, you will learn how to quickly build and deploy a geo-fencing system using Python. Lastly, you will learn how to leverage geospatial analysis techniques in popular recommendation systems such as collaborative filtering and location-based recommendations, and more.By the end of the book, you will be a rockstar when it comes to performing geospatial analysis with ease.
Pablo Carreira
From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused.Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them. With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages. Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers’ parallel processing capabilities.
If you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for those of you with little or no understanding of Gephi and this domain, but will also be beneficial for those interested in expanding their knowledge and experience.
Samadrita Ghosh
Procreate is robust, industry-grade painting software that is extremely versatile yet an affordable alternative to subscription-based applications. If you're new to Procreate, Get Set Procreate 5 will help you get up to speed with creating professional illustrations in no time.Complete with step-by-step instructions, detailed explanations, and practical application guidelines, this easy-to-follow guide will cover the ins and outs of Procreate 5.2 and show you how to use each feature effectively. You'll learn how to draw using assistive tools, apply effects, create animations, and develop amazing artwork by implementing the skills learned throughout the book. Once you've got to grips with the new features of Procreate 5 for creating beautiful illustrations, animations, and graphics, you'll be able to explore the tools at your disposal and even create your own brushes, shortcuts, and menus to work efficiently.By the end of this Procreate book, you'll be able to navigate the application confidently and take your artwork to a new level.
Tom Hombergs
We would all like to build software architecture that yields adaptable and flexible software with low development costs. But, unreasonable deadlines and shortcuts make it very hard to create such an architecture.Get Your Hands Dirty on Clean Architecture starts with a discussion about the conventional layered architecture style and its disadvantages. It also talks about the advantages of the domain-centric architecture styles of Robert C. Martin's Clean Architecture and Alistair Cockburn's Hexagonal Architecture. Then, the book dives into hands-on chapters that show you how to manifest a hexagonal architecture in actual code. You'll learn in detail about different mapping strategies between the layers of a hexagonal architecture and see how to assemble the architecture elements into an application. The later chapters demonstrate how to enforce architecture boundaries. You'll also learn what shortcuts produce what types of technical debt and how, sometimes, it is a good idea to willingly take on those debts.After reading this book, you'll have all the knowledge you need to create applications using the hexagonal architecture style of web development.
Tom Hombergs, Gernot Starke
Building for maintainability is key to keep development costs low (and developers happy). The second edition of Get Your Hands Dirty on Clean Architecture is here to equip you with the essential skills and knowledge to build maintainable software.Building upon the success of the first edition, this comprehensive guide explores the drawbacks of conventional layered architecture and highlights the advantages of domain-centric styles such as Robert C. Martin's Clean Architecture and Alistair Cockburn's Hexagonal Architecture. Then, the book dives into hands-on chapters that show you how to manifest a Hexagonal Architecture in actual code. You'll learn in detail about different mapping strategies between the layers of a Hexagonal Architecture and see how to assemble the architecture elements into an application. The later chapters demonstrate how to enforce architecture boundaries, what shortcuts produce what types of technical debt, and how, sometimes, it is a good idea to willingly take on those debts.By the end of this second edition, you'll be armed with a deep understanding of the Hexagonal Architecture style and be ready to create maintainable web applications that save money and time. Whether you're a seasoned developer or a newcomer to the field, Get Your Hands Dirty on Clean Architecture will empower you to take your software architecture skills to new heights and build applications that stand the test of time.
Michael Hsieh
Amazon SageMaker Studio is the first integrated development environment (IDE) for machine learning (ML) and is designed to integrate ML workflows: data preparation, feature engineering, statistical bias detection, automated machine learning (AutoML), training, hosting, ML explainability, monitoring, and MLOps in one environment.In this book, you'll start by exploring the features available in Amazon SageMaker Studio to analyze data, develop ML models, and productionize models to meet your goals. As you progress, you will learn how these features work together to address common challenges when building ML models in production. After that, you'll understand how to effectively scale and operationalize the ML life cycle using SageMaker Studio.By the end of this book, you'll have learned ML best practices regarding Amazon SageMaker Studio, as well as being able to improve productivity in the ML development life cycle and build and deploy models easily for your ML use cases.
Getting Started with Angular. Click here to enter text. - Second Edition
Minko Gechev
Want to build quick and robust web applications with Angular? This book is the quickest way to get to grips with Angular and take advantage of all its new features.
Bethany Hiitola, Stephen Daulton
Using the Audacity software as the starting off point, we discuss what the software is, what it can do, how you can use it, and where you go to get started installing it. All of this information is grounded in some basic audio editing terminology and background for those that aren't so technology inclined.Then we'll start digging into a sample project! You'll learn about how to set up a project, create a voice track, record an interview with Skype, and basic audio editing techniques. All of this done in an easy to follow, task based approach with lots of examples. Here, we plan to go a step further, we teach how to wrap all of these steps together and create a podcast that can be posted on your own website or blog.There's always more you can do with Audacity! The last portion of the book is dedicated to just that - discussing more advanced editing and mixing techniques, using affects, adding music, adding additional plug-ins to the software. All still incorporating examples and easy to follow tasks you can try on your own audio projects.
Vineeth G. Nair, Vineeth G Nair
Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. Beautiful Soup provides a few simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree: a toolkit for dissecting a document and extracting what you need without writing excess code for an application. It doesn't take much code to write an application using Beautiful Soup.Getting Started with Beautiful Soup is a practical guide to Beautiful Soup using Python. The book starts by walking you through the installation of each and every feature of Beautiful Soup using simple examples which include sample Python codes as well as diagrams and screenshots wherever required for better understanding. The book discusses the problems of how exactly you can get data out of a website and provides an easy solution with the help of a real website and sample code.Getting Started with Beautiful Soup goes over the different methods to install Beautiful Soup in both Linux and Windows systems. You will then learn about searching, navigating, content modification, encoding support, and output formatting with the help of examples and sample Python codes for each example so that you can try them out to get a better understanding. This book is a practical guide for scraping information from any website. If you want to learn how to efficiently scrape pages from websites, then this book is for you.
David Gouveia, David da L Gouveia
Audio plays a fundamental role in video games. From music to sound effects or dialogue, it helps to reinforce the experience, convey the mood, and give feedback to the player. Presently, many games have achieved commercial success by incorporating game sounds that have enhanced the user experience. You can achieve this in your games with the help of the FMOD library. This book provides you with a practical guide to implementing the FMOD toolkit in your games.Getting Started with C++ Audio Programming for Game Developers is a quick and practical introduction to the most important audio programming topics that any game developer is expected to know. Whether you need to play only a few audio files or you intend to design a complex audio simulation, this book will help you get started enhancing your game with audio programs.Getting Started with C++ Audio Programming for Game Developers covers a broad range of topics – from loading and playing audio files to simulating sounds within a virtual environment and implementing interactive sounds that react to events in the game.The book starts off with an explanation of the fundamental audio concepts, after which it proceeds to explain how to use the FMOD Ex library, how to implement a 3D audio simulation, how to use the FMOD Designer toolkit, and how best to work with multi-layered sounds with complex behaviors attached to them. The final part of the book deals with working with audio at a much lower level by manipulating audio data directly.This book will provide you with a good foundation so that you can successfully implement audio into your games and begin pursuing other advanced topics in audio programming with confidence.
