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Game Development Patterns with Godot 4 : Create resilient game systems using industry-proven solutions in Godot / Henrique CAMPOS / PACKT PUBLISHING (2025)
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Titre : Game Development Patterns with Godot 4 : Create resilient game systems using industry-proven solutions in Godot Type de document : e-book Auteurs : Henrique CAMPOS Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781835880289 Note générale : copyrighted Langues : Anglais (eng) Résumé : Build flexible game architectures in this part-color guide with seasoned Godot developer and educator, Henrique Campos, using scalable code and industry-standard solutionsKey FeaturesLeverage Godot’s built-in features to implement design patternsExplore object-oriented design from a unique perspective based on the philosophy of languageLearn SOLID principles with practical, intuitive implementation strategiesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGame development demands more than just creativity; it requires code that’s as dynamic and adaptable as the games you dream of creating. Master the art of writing clean, robust game code by understanding object-oriented programming and leveraging proven design patterns tailored for game development using the Godot Engine. Henrique Campos, a seasoned game developer, educator, and creator of popular resources like The Essential Guide to Creating Multiplayer Games with Godot 4.0, blends industry expertise with practical teaching methods to ensure you gain both theoretical and hands-on expertise in crafting game code. Starting with the fundamentals of object-oriented design, you’ll master SOLID principles. You’ll learn how to favor composition over inheritance—an essential approach for creating reusable code bases. Through a hands-on sample game project, you’ll implement a series of basic and advanced design patterns using Godot Engine’s features and identify where, when, and why to implement each design pattern. By the end of this game development book, you’ll not only understand the principles of object-oriented programming, but also be able to diagnose and fix pathologies in your code with ease. What you will learnCreate reusable and scalable code with SOLID principlesIdentify common game development issues and apply industry-standard solutionsUnderstand feature requests and turn them into concrete solutions leveraging design patternsAnalyze game development pathologies to figure out underlying issuesArchitect reliable systems that are understandable, intuitive, and scalableStructure professional, collaborative game systems that are easy to maintainWho this book is forIf you are a game developer, game designer, technical artist, or solo developer with programming experience in Godot Engine and the GDScript programming language, this book is for you. Perfect for professionals looking to create solid, reusable, and reliable architecture that can adapt and grow with their creative vision. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88962237 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=599206 Generative AI with Python and PyTorch : Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications / Joseph BABCOCK / PACKT PUBLISHING (2025)
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Titre : Generative AI with Python and PyTorch : Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications Type de document : e-book Auteurs : Joseph BABCOCK Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781835884447 Note générale : copyrighted Langues : Anglais (eng) Résumé : Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs)Key FeaturesImplement real-world applications of LLMs and generative AIFine-tune models with PEFT and LoRA to speed up trainingExpand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and LlamaIndexPurchase of the print or Kindle book includes a free eBook in PDF formatBook DescriptionBecome an expert in Generative AI through immersive, hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch 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.What you will learnGrasp the core concepts and capabilities of LLMsCraft effective prompts using chain-of-thought, ReAct, and prompt query language to guide LLMs toward your desired outputsUnderstand how attention and transformers have changed NLPOptimize your diffusion models by combining them with VAEsBuild text generation pipelines based on LSTMs and LLMsLeverage the power of open-source LLMs, such as Llama and Mistral, for diverse applicationsWho this book is forThis book is for data scientists, machine learning engineers, and software developers seeking practical skills in building generative AI systems. A basic understanding of math and statistics and experience with Python coding is required. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88969099 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=606074 Getting Started with Docker and AI : Unlock the power of Docker and AI to revolutionize app deployment and workflows / Nigel POULTON / PACKT PUBLISHING (2025)
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Titre : Getting Started with Docker and AI : Unlock the power of Docker and AI to revolutionize app deployment and workflows Type de document : e-book Auteurs : Nigel POULTON Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781837022878 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn the essentials of Docker and AI integration in this hands-on guide. Explore containerization, registries, and AI workflows for optimized software delivery.Key FeaturesComprehensive guide to Docker for containerizationInsights into AI integration within Docker environmentsPractical examples and workflows for application developmentBook DescriptionThis book serves as a comprehensive introduction to Docker, offering readers a solid foundation in containers, images, and registries. It begins with the essentials, including the benefits of containers and their role in modern application development. Step-by-step instructions guide you through building, testing, and deploying containerized applications, providing hands-on experience in creating scalable and efficient systems. Chapters on Docker Compose and multi-container apps introduce workflows to simplify the management of complex applications. A dedicated section explores the integration of AI with Docker, presenting practical use cases such as deploying containerized chatbots and utilizing AI models in Docker environments. Readers will learn how to build, deploy, and manage containerized AI solutions effectively. With clear explanations and real-world examples, the book equips readers with the skills to leverage Docker for application development and AI integration. By the end, you'll be ready to apply Docker and AI in practical scenarios, improving system performance, scalability, and innovation.What you will learnSet up and manage Docker containers with easeContainerize applications step by stepDeploy multi-container systems using Docker ComposeUnderstand Docker registries and AI model storageImplement containerized chatbot AI solutionsDeploy AI-powered apps in Docker environmentsWho this book is forThis book is designed for developers, software engineers, data scientists, and IT professionals seeking to learn Docker fundamentals and its applications in AI. Beginners with a basic understanding of programming and operating systems will find the content accessible, while those with experience can leverage advanced chapters on multi-container apps and AI. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88967006 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=601612 Ghidra Software Reverse-Engineering for Beginners : Master the art of debugging, from understanding code to mitigating threats / David Álvarez PÉREZ / PACKT PUBLISHING (2025)
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Titre : Ghidra Software Reverse-Engineering for Beginners : Master the art of debugging, from understanding code to mitigating threats Type de document : e-book Auteurs : David Álvarez PÉREZ Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781835889824 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn how to use Ghidra to analyze your code for potential vulnerabilities and examine both malware and network threatsKey FeaturesMake the most of Ghidra on different platforms such as Linux, Windows, and macOSUnlock the potential of plug-ins and extensions for disassembly, assembly, decompilation, and scriptingLearn advanced concepts like binary diffing, debugging, unpacking real-world malware samples, and reverse engineering ransomwarePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWritten by David Álvarez Pérez, a senior malware analyst at Gen Digital Inc., and Ravikant Tiwari, a senior security researcher at Microsoft, with expertise in malware and threat detection, this book is a complete guide to using Ghidra for examining malware, making patches, and customizing its features for your cybersecurity needs. This updated edition walks you through implementing Ghidra’s capabilities and automating reverse-engineering tasks with its plugins. You’ll learn how to set up an environment for practical malware analysis, use Ghidra in headless mode, and leverage Ghidra scripting to automate vulnerability detection in executable binaries. Advanced topics such as creating Ghidra plugins, adding new binary formats, analyzing processor modules, and contributing to the Ghidra project are thoroughly covered too. This edition also simplifies complex concepts such as remote and kernel debugging and binary diffing, and their practical uses, especially in malware analysis. From unpacking malware to analyzing modern ransomware, you’ll acquire the skills necessary for handling real-world cybersecurity challenges. By the end of this Ghidra book, you’ll be adept at avoiding potential vulnerabilities in code, extending Ghidra for advanced reverse-engineering, and applying your skills to strengthen your cybersecurity strategies.What you will learnDevelop and integrate your own Ghidra extensionsDiscover how to use Ghidra in headless modeExtend Ghidra for advanced reverse-engineeringPerform binary differencing for use cases such as patch and vulnerability analysisPerform debugging locally and in a remote environmentApply your skills to real-world malware analysis scenarios including ransomware analysis and unpacking malwareAutomate vulnerability detection in executable binaries using Ghidra scriptingWho this book is forThis book is for software engineers, security researchers, and professionals working in software development and testing who want to deepen their expertise in reverse engineering and cybersecurity. Aspiring malware analysts and vulnerability researchers will also benefit greatly. Prior experience with Java or Python and a foundational understanding of programming is recommended. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88966997 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=601621 Hands-On Machine Learning with C++ : Build, train, and deploy end-to-end machine learning and deep learning pipelines / Kirill KOLODIAZHNYI / PACKT PUBLISHING (2025)
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Titre : Hands-On Machine Learning with C++ : Build, train, and deploy end-to-end machine learning and deep learning pipelines Type de document : e-book Auteurs : Kirill KOLODIAZHNYI Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781805120575 Note générale : copyrighted Langues : Anglais (eng) Résumé : Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasetsKey FeaturesFamiliarize yourself with data processing, performance measuring, and model selection using various C++ librariesImplement practical machine learning and deep learning techniques to build smart modelsDeploy machine learning models to work on mobile and embedded devicesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWritten by a seasoned software engineer with several years of industry experience, this book will teach you the basics of machine learning (ML) and show you how to use C++ libraries, along with helping you create supervised and unsupervised ML models. You’ll gain hands-on experience in tuning and optimizing a model for various use cases, enabling you to efficiently select models and measure performance. The chapters cover techniques such as product recommendations, ensemble learning, anomaly detection, sentiment analysis, and object recognition using modern C++ libraries. You’ll also learn how to overcome production and deployment challenges on mobile platforms, and see how the ONNX model format can help you accomplish these tasks. This new edition has been updated with key topics such as sentiment analysis implementation using transfer learning and transformer-based models, as well as tracking and visualizing ML experiments with MLflow. An additional section shows you how to use Optuna for hyperparameter selection. The section on model deployment into mobile platform now includes a detailed explanation of real-time object detection for Android with C++. By the end of this C++ book, you’ll have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.What you will learnEmploy key machine learning algorithms using various C++ librariesLoad and pre-process different data types to suitable C++ data structuresFind out how to identify the best parameters for a machine learning modelUse anomaly detection for filtering user dataApply collaborative filtering to manage dynamic user preferencesUtilize C++ libraries and APIs to manage model structures and parametersImplement C++ code for object detection using a modern neural networkWho this book is forThis book is for beginners looking to explore machine learning algorithms and techniques using C++. This book is also valuable for data analysts, scientists, and developers who want to implement machine learning models in production. Working knowledge of C++ is needed to make the most of this book. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88967000 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=601593 Implementing Analytics Solutions Using Microsoft Fabric—DP-600 Exam Study Guide : Boost your skills with expert insights and certification-ready strategies for Microsoft analytics / Jagjeet Singh MAKHIJA / PACKT PUBLISHING (2025)
PermalinkLearn Blender Simulations the Right Way : Transform your artistic vision into stunning, realistic simulations with Blender 4.0 / Stephen PEARSON / PACKT PUBLISHING (2025)
PermalinkLearn Quantum Computing with Python and IBM Quantum : Write your own practical quantum programs with Python / Robert LOREDO / PACKT PUBLISHING (2025)
PermalinkLearning Angular : A practical guide to building web applications with modern Angular / Aristeidis BAMPAKOS / PACKT PUBLISHING (2025)
PermalinkMachine Learning Hero : Master Data Science with Python Essentials / Cuantum Technologies LLC / PACKT PUBLISHING (2025)
PermalinkMastering AutoCAD 2025 : Level up your AutoCAD skills with advanced methods and tools, including AutoCAD Web and Trace / Shaun BRYANT / PACKT PUBLISHING (2025)
PermalinkMastering C++ Game Animation Programming : Enhance your skills with advanced game animation techniques in C++, OpenGL, and Vulkan / Michael DUNSKY / PACKT PUBLISHING (2025)
PermalinkMastering spaCy : Build structured NLP solutions with custom components and models powered by spacy-llm / Déborah MESQUITA / PACKT PUBLISHING (2025)
PermalinkPermalinkMinimal CMake : Learn the best bits of CMake to create and share your own libraries and applications / Tom HULTON-HARROP / PACKT PUBLISHING (2025)
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