eBooks de Informática práctica, página 9 de 141

Develop production-ready, high-performance, and scalable microservices with GoKEY FEATURES ? Learn to design and implement resilient RESTful APIs using Go, with a focus on scalability and maintainability.? Discover how Kubernetes empowers reliable microservice architecture, covering deployment, scaling, service discovery, and load balancing.? Gain practical tools and insights for deploying microservices to production using Go and Kubernetes, ensuring smooth operations and high availability.DESCRIPTIONEmbark on a comprehensive journey through microservices architecture with a focus on harnessing the power of Go in modern cloud-based solutions. This book begins with a succinct introduction to microservices and their synergy with cloud strategies, emphasizing Gos aptitude for developing scalable and efficient services. Youll then delve into the fundamentals of Go, covering essential practices and core concepts, and establishing a strong language foundation. The exploration continues with a detailed examination of constructing a single service, emphasizing design, documentation, and structure. Through various design patterns, youll learn to implement a server capable of serving as a RESTful API, an internal worker, and more. This hands-on approach equips you with the expertise to craft robust and sustainable services. Finally, the book guides you through deploying your service to production using Kubernetes. Youll explore scaling techniques, performance optimization, and observability, ensuring your service is ready for the demands of the real world.WHAT WILL YOU LEARN ? Gain a comprehensive understanding of microservices architecture, including its advantages, limitations, and alternative approaches. ? Master the fundamentals of Go, from basic syntax and concepts to more advanced topics, enabling you to leverage its capabilities effectively. ? Explore the key components of microservices architecture implemented using Go, understanding how they interact and contribute to the overall system. ? Design and implement robust RESTful APIs with Go, incorporating essential features like pagination, rate-limiting, caching, retries, and timeouts for optimal performance. ? Discover Kubernetes and its close relationship with microservices architecture, gaining insights into its role in orchestrating and managing containerized applications. ? Learn to deploy production-ready services with Go, covering essential aspects such as authentication, monitoring, continuous integration and continuous deployment (CI/CD), fault tolerance design, and rollout procedures, all from the perspective of a developer.WHO IS THIS BOOK FOR?This book targets developers and software architects looking to enhance their microservices expertise using Go, offering insights into modern tech demands. Its beneficial for those mastering microservices basics and refining skills in Go, Kubernetes, and RESTful APIs. Whether advancing careers or improving proficiency, it equips readers for success in dynamic software development.TABLE OF CONTENTS 1. Introduction to Microservices2. Usability of Go3. Go Essentials4. Embarking on the Go Journey5. Unlocking Gos Concurrency Power6. Core Elements of Microservices7. Building RESTful API8. Introduction to Kubernetes9. Deploying to Production10. Next Steps in Produ...

Master the Art of Data Munging and Predictive Modeling for Machine Learning with Scikit-LearnBook DescriptionUltimate Machine Learning with Scikit-Learn is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn.Beginning with foundational techniques, youll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes.Transitioning into real-time data streams, youll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis.By the end of the book you will master the art of data engineering and ML pipelines, ensuring youre equipped to tackle even the most complex analytics tasks with confidence.Table of Contents1. Data Preprocessing with Linear Regression2. Structured Data and Logistic Regression3. Time-Series Data and Decision Trees4. Unstructured Data Handling and Naive Bayes5. Real-time Data Streams and K-Nearest Neighbors6. Sparse Distributed Data and Support Vector Machines7. Anomaly Detection and Isolation Forests8. Stock Market Data and Ensemble Methods9. Data Engineering and ML Pipelines for Advanced Analytics Index

Empower Your .NET Journey with Machine LearningKey Features? Step-by-step guidance to help you navigate through various machine learning tasks and techniques with ML.NET.? Explore all aspects of ML.NET, from installation and configuration to model deployment.? Engage in practical exercises and real-world projects to solidify your understanding.Book DescriptionDive into the world of machine learning for data-driven insights and seamless integration in .NET applications with the Ultimate Machine Learning with ML.NET.The book begins with foundations of ML.NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML.NET, exploring classification, regression, and clustering with its versatile functionalities.It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML.NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse.The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML.NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications.What you will learn? Understand the basics of ML.NET and its capabilities in the machine learning landscape.? Gain practical experience with the ML.NET Model Builder and command-line interface (CLI) to efficiently create models.? Understand how to choose the most suitable algorithms and fine-tune them for optimal performance within ML.NET.Table of Contents1. Introduction to ML.NET2. Installing and Configuring ML.NET3. ML.NET Model Builder and CLI4. Collecting and Preparing Data for ML.NET5. Machine Learning Tasks in ML.NET6. Choosing and Tuning Machine Learning Algorithms in ML.NET7. Inspecting and Interpreting ML.NET Models8. Saving and Loading Models in ML.Net9. Optimizing ML.NET Models for Accuracy10. Deploying ML.NET Models with Azure Functions and Web API IndexAbout the AuthorsKalicharan Mahasivabhattu is a seasoned industry expert with over 21 years of experience working with leading global organizations primarily in oil and gas and healthcare. As a Certified Artificial Intelligence and Machine Learning Specialist, he has earned the moniker Serial Innovator for his ground-breaking ideas in deep learning, augmented reality, chatbots, and computer vision, all of which have garnered support from the innovation council. Kalis dedication to advancing the field extends to his engaging podcast, Talking AWS for Data Science, where he shares insights and discusses cutting-edge developments.Deepti Bandi is an experienced professional with over 17 years of exposure in the field of leveraging advanced analytics to drive business growth and decision- making. With a dual masters degree in Computational Mechanics and Structural Engineering, she possesses a uniq...

From Prototype to Production-Grade LLM Systems. Key Features Get a free one-month digital subscription to www.avaskillshelf.com End-to-end coverage of modern LLMOps, from fundamentals to production deployment and monitoring. Hands-on prompt management, LLM chaining, RAG, and building AI agent examples. Practical insights into LLMOps observability and analytics using LangFuse, Fine-tuning, and securing LLMs in real-world environments. Book Description Large Language Models (LLMs) are transforming how organizations build intelligent applications, yet taking them from experimentation to reliable production systems requires a new disciplineLLMOps. Ultimate LLMOps for LLM Engineering offers a comprehensive journey through the principles, tools, and workflows essential for operationalizing LLMs with confidence and efficiency. It begins by demystifying LLM fundamentals, model behavior, and the evolving landscape of MLOps, giving readers the context needed to design scalable AI systems. The core chapters dive into hands-on techniques that drive real-world LLM applications, including prompt management, LLM chaining, and Retrieval Augmented Generation (RAG). You will explore how to design LLM pipelines, build effective agentic systems, and orchestrate complex multi-step reasoning workflows. Each concept is supported with practical insights applicable across industries and platforms. Moving deeper into production, the book equips you with strategies for deploying, serving, and monitoring LLMs in modern cloud and hybrid environments. You will learn how to fine-tune and adapt models, enforce security and privacy requirements, and detect model drift in dynamic data ecosystems. What you will learn Understand LLM foundations and how they integrate with the MLOps ecosystem. Build robust prompt strategies, LLM chains, and RAG pipelines for complex workflows. Design and deploy AI agents and autonomous LLM-driven systems. Serve, scale, monitor, and evaluate LLMs across cloud and on-prem environments. Apply fine-tuning, optimization, and adaptation techniques to improve model performance. Implement best practices for LLM security, privacy, governance, and drift detection. Who is This Book For? This book is tailored for GenAI Developers, Machine Learning Engineers, and Data Scientists who want to build, deploy, and manage LLM-powered systems at scale. Readers should have foundational knowledge of AI/ML concepts, basic NLP familiarity, and experience with Python programming to fully benefit from the content. Table of Contents 1. Unveiling the World of Large Language Models 2. Getting Started with MLOps 3. Mastering Prompt Management for LLMs 4. The Power of LLM Chaining 5. Retrieval Augmentation Generation 6. AI Agents and Autonomous Systems 7. Deploying Large Language Models 8. Model Monitoring and Evaluation 9. LLM Fine-tuning and Adaptation 10. LLM Security, Privacy, and Drift Detection 11. LLMOps with Langfuse 12. Real-World Examples and Emerging Trends Index

Build, Scale and Optimize Cutting-Edge NLP with Llama for Next Gen AI. Key Features Explore Llamas evolution and innovations for next-gen NLP. Implement real-world NLP tasks with step-by-step examples. Fine-tune, optimize, and deploy Llama at enterprise scale. Book Description Llama models have rapidly emerged as a cornerstone in natural language processing, redefining how AI systems understand and generate human language. From their efficient architecture to the cutting-edge advancements in Llama 4, these models enable enterprises, researchers, and developers to build powerful, scalable, and responsible NLP solutions. This book, Ultimate Llama for Natural Language Processing (NLP), takes you on a structured journey through the evolution and applications of Llama. It begins with the foundations of the Llama series and its architecture, before progressing to core NLP tasks such as classification, summarization, sentiment analysis, and conversational AI. Subsequent chapters cover fine-tuning, transfer learning, optimization, and deployment at enterprise scale, with practical insights into real-world industry use cases. The book also addresses troubleshooting, ethical AI, and the future of multimodal and sparse Mixture-of-Experts models. Thus, by the end, readers will be well-equipped to train, adapt, and deploy Llama models across domains such as healthcare, finance, and customer engagement. What you will learn Understand Llamas evolution, architecture, and unique innovations in NLP. Implement core NLP tasks like classification, NER, and summarization. Fine-tune Llama for custom domains using advanced transfer learning. Optimize inference speed, and deploy Llama models at enterprise scale. Troubleshoot, monitor, and continuously improve Llama model performance. Apply Llama 4 to real-world industry use cases and multimodal AI.

"Level Up Your Security Skills with Linux Expertise!"Key Features? Comprehensive exploration of Linux network security and advanced techniques to defend against evolving cyber threats.? Hands-on exercises to reinforce your understanding and gain practical experience in implementing cybersecurity strategies.? Gain valuable insights from industry best practices to effectively address emerging threats and protect your organizations digital assets within the evolving landscape of Linux network security.Book DescriptionThe Ultimate Linux Network Security for Enterprises is your essential companion to mastering advanced cybersecurity techniques tailored for Linux systems.The book provides a comprehensive exploration of Linux network security, equipping you with the skills and knowledge needed to defend against evolving cyber threats. Through hands-on exercises, real-world scenarios, and industry best practices, this book empowers you to fortify your organizations networks with confidence. Discover practical insights and techniques that transcend theoretical knowledge, enabling you to apply effective cybersecurity strategies in your job role.From understanding fundamental concepts to implementing robust security measures, each chapter provides invaluable insights into securing Linux-based networks. Whether you are tasked with conducting vulnerability assessments, designing incident response plans, or implementing intrusion detection systems, this book equips you with the tools and expertise to excel in your cybersecurity endeavors. By the end of this book, you will gain the expertise needed to stay ahead of emerging threats and safeguard your organizations digital assets.What you will learn? Perform thorough vulnerability assessments on Linux networks to pinpoint network weaknesses.? Develop and deploy resilient security incident response plans.? Configure and oversee sophisticated firewall and packet filtering rules.? Employ cryptography techniques to ensure secure data transmission and storage.? Implement efficient Intrusion Detection and Prevention Systems (IDS/IPS).? Enforce industry-leading best practices to bolster Linux network security defenses.Table of Contents1. Exploring Linux Network Security Fundamentals2. Creating a Secure Lab Environment3. Access Control Mechanism in Linux4. Implementing Firewalls And Packet Filtering5. Mastering Cryptography for Network Security6. Intrusion Detection System and Intrusion Prevention System7. Conducting Vulnerability Assessment with Linux8. Creating Effective Disaster Recovery Strategies9. Robust Security Incident Response Plan10. Best Practices for Linux Network Security Professionals Index

Unlock the Power of Laravel: Elevate Your Web Development Game!Book DescriptionThe Ultimate Laravel for Modern Web Development is a comprehensive journey through Laravel, the PHP framework revolutionizing web development. This practical guide ensures a fluid progression from fundamentals to advanced techniques, making you a seasoned Laravel expert. The book begins with the fundamentals, seamlessly transitioning into the core of Laravels MVC architecture. It then navigates through routers, views, controllers, and Blade templates, building a strong foundation for your projects.As you progress, the book will uncover the power of Eloquent ORM and Query Builder, mastering efficient data handling. You will implement seamless authentication and authorization processes to ensure the security of your applications and develop robust APIs to enhance your applications functionality and connectivity.The book will dive into the art of testing and debugging, refining your Laravel projects for optimal performance. It will delve into email and notifications, adding dynamic communication to your applications. Finally, you will learn the ins and outs of deploying your Laravel app to the cloud, bringing your creations to a global audience.Table of Contents1. Getting Started with Laravel2. MVC Architecture in Laravel3. Routers and Views in Laravel4. Building Controllers and Blade Templates5. Working with Eloquent ORM and Query Builder6. Implementing Authentication and Authorization in Laravel7. Developing APIs with Laravel8. Testing and Debugging your Laravel Application9. E-mail and Notifications in Laravel10. Deploying your Laravel App to CloudIndex

Bridge Virtualization and Cloud-Native with Kubevirt and Openshift. Key Features Deploy and manage VMs in OpenShift, using Kubernetes-native tools. Automate VM provisioning with GitOps and CI/CD pipelines. Secure, monitor, and optimize VMs in hybrid cloud environments. Explore real-world use cases, golden images, and multi-cloud setup. Book Description KubeVirt brings virtualization directly into Kubernetes and OpenShift environments. With KubeVirt, enterprises can run legacy applications alongside microservices on a single, consistent platform, eliminating the inefficiencies of maintaining parallel infrastructures. Ultimate KubeVirt for OpenShift Virtualization is your comprehensive guide to mastering this powerful technology within OpenShift Virtualization. In this book, you will begin by understanding why KubeVirt matters in todays hybrid cloud landscape, and how it fits within the broader Kubernetes ecosystem. From there, the book walks you through environment setup, architecture fundamentals, and hands-on VM management. You will also dive into essential topics like networking, persistent storage, and securityensuring your workloads are production-ready. As you progress, advanced chapters guide you through GitOps automation, performance monitoring, and comparing KubeVirt with tools such as vCluster. Further, you will explore use cases like Golden VM images with the CDI project, hybrid/multi-cloud deployments, and future-focused features such as GPU passthrough and high availability. What you will learn Create and manage VMs inside Kubernetes/OpenShift clusters. Set up networking, storage, and GPU support for virtual machines. Automate virtualization workflows, using GitOps and the CDI project. Integrate and scale VMs across hybrid and multi-cloud platforms. Monitor performance and implement security as well as compliance controls. Compare KubeVirt with alternatives like vCluster for hybrid scenarios.

Empower Your Data Insights with Javas Top Tools and Frameworks.Key Features? Explore diverse techniques and algorithms for data analytics using Java.? Learn through hands-on examples and practical applications in each chapter.? Master essential tools and frameworks such as JFreeChart for data visualization and Deeplearning4j for deep learning.Book DescriptionThis book is a comprehensive guide to data analysis using Java. It starts with the fundamentals, covering the purpose of data analysis, different data types and structures, and how to pre-process datasets. It then introduces popular Java libraries like WEKA and Rapidminer for efficient data analysis.The middle section of the book dives deeper into statistical techniques like descriptive analysis and random sampling, along with practical skills in working with relational databases (JDBC, SQL, MySQL) and NoSQL databases. It also explores various analysis methods like regression, classification, and clustering, along with applications in business intelligence and time series prediction.The final part of the book gives a brief overview of big data analysis with Java frameworks like MapReduce, and introduces deep learning with the Deeplearning4J library. Whether youre new to data analysis or want to improve your Java skills, this book offers a step-by-step approach with real-world examples to help you master data analysis using Java.What you will learn? Understand foundational principles and types of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics.? Master techniques for preprocessing data, including cleaning and munging, to prepare it for analysis.? Learn how to create various charts and plots including bar charts, histograms, and scatter plots for effective data visualization.? Explore Java-based libraries such as WEKA and Deeplearning4j for implementing machine learning algorithms.? Develop expertise in statistical techniques including hypothesis testing, regression (linear and polynomial), and probability distributions.? Acquire practical skills in SQL querying and JDBC for relational databases.? Explore applications in business intelligence and deep learning, including image recognition and natural language processing.Table of Contents1. Data Analytics Using Java2. Datasets3. Data Visualization4. Java Machine Learning Libraries5. Statistical Analysis6. Relational Databases7. Regression Analysis8. ClassificationAnalysis9. Sentiment Analysis10. Cluster Analysis11. Working with NoSQL Databases12. Recommender Systems13. Applications of Data Analysis14. Big Data Analysis with Java15. Deep Learning with Java IndexAbout the AuthorsAbhishek Kumar has been a pivotal figure in the design and development of complex enterprise-grade software for over 12 years. His professional journey has seen him contributing his extensive systems programming expertise to leading technology companies including Adobe, Intel, ARM, Samsung, and NVIDIA. Currently, he serves as a Senior Computer Scientist, where he continues to excel in his field.Abhishek is deeply passionate about teaching programming and machine learning. This passion is reflected in his authorship of the book Rust Crash Course and the creation of several success...

Reimagine ITSM with AI for Predictive, Proactive, and Impactful Outcomes. Key Features Bridges AI fundamentals with ITIL 4 practices for real-world applications. Explains AIOps, intelligent automation, and predictive analytics in ITSM. Provides governance, risk, and ethics framework for AI adoption in ITSM. Offers a forward-looking view on GenAI, ChatGPT, and next-gen ITSM trends. Book Description Artificial Intelligence (AI) is rapidly reshaping the way IT Service Management (ITSM) delivers value, moving organizations from reactive processes to predictive, intelligent operations. Ultimate ITIL 4 ITSM for AI-Powered Service Management takes you on a practical and progressive journey. It begins with the foundations of AI and ITSM, then simplifies complex concepts like machine learning, natural language processing, and generative AI so that they become directly usable in your role. Step by step, it demonstrates how these technologies can be applied within ITIL 4 practicesfrom incident and problem management to change enablement and the Service Value Systemthrough real-world examples, case studies, and actionable insights. By the end of this journey, you will be able to apply AI to optimize service delivery, predict and prevent disruptions, improve decision-making, and design intelligent service experiences. More importantly, you will gain the confidence and foresight to lead your organization into the future of ITSMsmarter, faster, and ready for the AI-driven enterprise! What you will learn Harness AI to reinvent ITIL 4 practices, and elevate service value. Transform repetitive ITSM tasks into intelligent, self-optimizing workflows. Anticipate incidents with predictive analytics, and prevent service disruptions. Architect AI-driven service desks that deliver seamless, human-like support. Govern AI adoption with frameworks for ethics, trust, and compliance. Craft a strategic roadmap to scale AI-powered ITSM enterprise-wide.

Turbo Charge Your IT career with ITSM KnowledgeKey Features? In-depth exploration of ITIL4, from foundational concepts to advanced practices, ensuring a holistic understanding of IT Service Management (ITSM).? Actionable advice and strategies for implementing ITIL4, including a roadmap for certification and real-world solutions for organizational challenges.? Emphasis on leveraging ITIL4 for driving innovation and digital transformation, preparing readers for future ITSM demands.Book DescriptionThe book offers a detailed exploration of the ITIL framework, covering all its aspects, from the basic principles to advanced concepts. This thorough coverage is essential for a deep understanding of ITIL and its application in IT service management. The book is designed to be user-friendly, with clear language, helpful diagrams, and a layout that facilitates easy understanding and retention of information.This book provides a structured approach to preparing for ITIL certification exams, including study tips, practice questions, and summaries, which are tailored to aid in both certification preparation and practical implementation. It includes insights and tips from seasoned ITIL practitioners, providing readers with valuable perspectives from experts in the field.Given the evolving nature of ITIL, the book is updated with the latest practices, ensuring that readers are learning the most current practices in IT service management. The book emphasizes the practical application of ITIL, helping readers understand how to effectively implement ITIL practices in their daily work and organizational context. The book is a comprehensive, practical, and up-to-date resource for anyone looking to deepen their knowledge of ITIL, prepare for certification, and successfully implement ITIL practices in their professional roles.What you will learn? Gain a deep understanding of ITIL4 principles and best practices, enabling you to effectively manage and improve IT services.? Learn strategies to enhance the quality, efficiency, and reliability of your organizations IT services, leading to increased customer satisfaction and operational excellence.? Acquire practical skills to plan, execute, and sustain ITIL4 implementations, ensuring smooth transitions and long-term success.? Prepare thoroughly for ITIL certification exams with comprehensive guidance, tips, and strategies, boosting your credentials and career prospects.? Understand how to leverage ITIL4 to innovate and transform IT operations, positioning your organization at the forefront of the digital era.Table of Contents1. Getting Started with ITIL and ITSM2. Navigating the ITIL4 Landscape-13. Navigating the ITIL4 Landscape-24. A Holistic Approach to IT Service Management5. General Management Practices I6. General Management Practices II7. General Management Practices - III8. General Management Practices IV9. Technical Management Practices10. Service Management Practices - I11. Service Management Practices - II12. Service Management Practices-III13. Service Management Practices - IV14. Service Management Practices - V15. Roadmap for ITIL Certification16. Digital Transformations With ITIL417. Implementing ITIL4 in Organizations IndexAbout the AuthorsSankarsan Bi...

Confidently Scale ITSM Using ITIL 4, DevOps, and Cloud. Key Features Scalable ITIL 4 strategies tailored for complex enterprise needs. Seamless integration with Agile, DevOps, Cloud, and Digital tools. Practical frameworks for KPIs, performance, and ITSM governance. Book Description ITIL 4 is the foundation for modern, scalable, and value-driven IT Service Management (ITSM). But mastering its true potential requires more than certification. Ultimate ITIL 4 for Scaling ITSM in Enterprise is your definitive guide to evolving from foundational knowledge to transformational leadership. Whether youre an ITSM practitioner, consultant, or technology leader, this book takes you beyond the basicsdeep into the realities of applying ITIL 4 in todays hybrid, fast-paced environments shaped by Agile, DevOps, Cloud, and Digital Transformation. Youll begin with a solid refresh of the core concepts, then advance through ITIL 4s critical practicesfrom governance, risk, and continual improvement to technical integration and enterprise-scale implementation. Along the way, youll learn to craft scalable workflows, embed KPIs, measure value, align with business outcomes, and build ITSM ecosystems that thrive across geographies and functions. This isnt just a theory bookits a strategic playbook for real-world impact. Youll close each chapter better equipped to drive operational excellence and future-proof your ITSM capabilities in a digital-first world. If youre serious about turning ITIL 4 into a competitive advantage and dont want to be left behind in the next wave of enterprise transformation, this is the book for you! What you will learn Apply advanced ITIL 4 strategies in complex enterprise settings. Integrate ITIL 4 with Agile, DevOps, Cloud, and AI practices. Design resilient ITSM workflows aligned to business objectives. Build governance models that ensure value and compliance. Measure service value using KPIs, SLAs, and metrics frameworks. Lead continual improvement and prepare for future ITSM trends.

The "iPhone 16 Guide" is your ultimate companion for navigating Apples latest smartphone. Whether youre a first-time iPhone user or a seasoned veteran, this comprehensive guide offers step-by-step instructions, expert tips, and detailed insights to help you make the most of your device. From setting up your iPhone 16 to mastering its advanced features, this book covers everything you need to know.Explore the new capabilities of the iPhone 16, including enhanced photography, improved battery life, and innovative software features that leverage the power of iOS 18. Discover how to customize your device, optimize performance, and troubleshoot common issues. With clear explanations and practical advice, the "iPhone 16 Guide" empowers you to unlock the full potential of your iPhone, ensuring that you stay connected, productive, and entertained in todays fast-paced digital world.Whether youre looking to streamline your daily tasks, stay connected with friends and family, or capture stunning photos, this guide equips you with the knowledge and skills to enhance your iPhone experience.DONT MISS OUT CLICK THE BUY-NOW BUTTON AND ENJOY YOUR DEVICE EVEN BETTER!

Build Your Dream iOS Apps: A Project-Based Learning ApproachKey Features? Gain a thorough understanding of core iOS development concepts and techniques, with a focus on practical application.? Build five end-to-end iOS applications, including a to-do list app, a weather app, a fitness tracker with HealthKit, and an image recognition app with Core ML, to apply your skills in real-world scenarios.? Understand the complete process of testing, debugging, and deploying your apps to the App Store, preparing you for real-world deployment.Book DescriptionUltimate iOS App Development Guide is your gateway to the dynamic world of iOS App development and guides you through the core concepts and techniques essential for iOS app creation. Each chapter delves into crucial components of iOS development, with clear explanations and practical examples to apply your knowledge in real-world scenarios.Structured into 10 chapters, the book begins with fundamental concepts, providing a solid foundation for beginners. Each subsequent chapter builds on this foundation with practical projects, blending theoretical iOS and Swift concepts with hands-on implementation. These carefully selected projects are designed to develop your application development skills, whether youre a novice or looking to deepen your expertise. This book serves as a robust resource, supporting your growth as an iOS developer.Youll create exciting projects that range from a simple to-do list app to advanced projects like HealthKit and Core ML integration, helping you grasp specific concepts thoroughly. The book also covers the app distribution process to the App Store, making it a comprehensive resource for both budding developers and seasoned professionals looking to broaden their expertise.What you will learn? Gain an overview of the iOS development ecosystem, including tools, frameworks, and key concepts.? Learn the process of setting up your development environment and creating your first iOS app.? Master the fundamental syntax and features of Swift programming language.? Develop a fully functional to-do list app, learning core iOS development practices and UI design principles.? Understand how to work with APIs by building a weather app that fetches real-time data.? Explore how to integrate popular social media platforms into your app, allowing users to share content seamlessly.? Build a fitness tracking app using HealthKit, learning to work with health data and sensors.Table of Contents1. Introduction to iOS Development2. Getting Started with iOS App Development3. Swift Programming Language Basics4. Building a To-Do List App5. Developing a Weather App6. Integrating Social Media7. Creating Fitness Tracking App Using HealthKit8. Building an Image Recognition App Using Core ML and VisionKit9. Testing, Debugging, and Deployment10. Advance Concepts IndexAbout the AuthorsSurabhi Chopada is an experienced iOS Developer originally from Ahmednagar, Maharashtra, India. She pursued an Engineering degree in Information Technology from PVG Pune. After gaining valuable experience in India, she relocated to Copenhagen, Denmark, to continue her professional journey. Her path to becoming an iOS Developer is truly inspiring. Her interest in iOS was sparked by her fascination with ...

Build Future-ready Enterprise AI with IBM Granite and Watsonx AI. Key Features Step-by-step instructions to install and configure Granite 3.0 using GitHub and VSCode on both Windows and Red Hat Linux systems. Build advanced prompt strategies using Python and Ansible to enhance LLM response accuracy and adaptability in enterprise scenarios. Prepare for the future of enterprise AI with forward-looking analysis of IBMs Granite platform evolution. Book Description IBM Granite 3.0 delivers enterprise-ready, open-source LLMs powered by Watsonx AImaking it essential for developers, data scientists, and IT professionals driving AI transformation. Ultimate IBM Granite for Enterprise Applications offers a structured, hands-on journey from foundational knowledge to real-world enterprise deployment. You will start by learning the principles of LLMs, and then unpack the architecture of IBM Granite 3.0. guided tutorials to walk you through the installation process using GitHub and VSCode, empowering you to replicate the setup on your systems. As you navigate through the book, you will delve deeper into advanced prompt engineering techniques to improve accuracy and performance, fine-tune Granite models for specialized business domains, and streamline DevOps automation using Red Hat Ansible Lightspeed. Throughout the book, code examples and Ansible playbooks ensure concepts that are not just explained, but applied. In the final chapters, you will focus on scaling, deploying, and maintaining Granite LLMs in production environmentscomplete with strategies for performance optimization, version upgrades, and enterprise integration. The book concludes with a forward-looking view into IBMs AI roadmap, helping you to align your strategy with what is next. Hence, whether you are building intelligent apps, modernizing DevOps, or planning long-term AI strategies, this book equips you to harness Granite 3.0s full power. What you will learn Set up IBM Granite 3.0, using GitHub and VSCode environments. Understand how IBMs LLM architecture powers enterprise-scale solutions. Automate system configuration, using Red Hat Ansible Lightspeed. Fine-tune Granite models to suit your domain-specific needs. Optimize AI deployments for enterprise performance and reliability. Anticipate Future AI Trends with IBMs Granite Roadmap.

Master Hyperledger Fabric for Decentralized Finance Solutions.Key Features? Build and deploy decentralized finance (DeFi) applications with blockchain.? Step-by-step guidance on utilizing Hyperledger Fabric and Ethereum.? Learn advanced techniques to create secure, scalable DeFi solutions.Book DescriptionLearning Hyperledger Fabric for DeFi is crucial as it empowers developers to create secure, scalable, and efficient blockchain-based systems, laying the foundation for the future of decentralized financial ecosystems."Ultimate Hyperledger Fabric for DeFi with Blockchain" is a comprehensive guide that helps developers master the implementation of decentralized finance (DeFi) applications using Hyperledger Fabric and Ethereum. With a focus on decentralized applications (dApps), the book provides a detailed understanding of blockchain technologies, with hands-on examples that demonstrate how to leverage these tools in real-world DeFi ecosystems. Covering everything from fundamental blockchain concepts to advanced techniques, it supports both beginners and experienced developers in creating robust decentralized financial solutions.By the end of this book, readers will be equipped to design and deploy blockchain-based DeFi solutions that meet industry standards for security, scalability, and efficiency. Start building your own DeFi applications today and unlock the future of finance with this essential guide!What you will learn? Design and deploy decentralized applications (dApps) using Hyperledger Fabric.? Enhance the security and scalability of blockchain-based DeFi systems.? Integrate Ethereum to leverage advanced smart contract capabilities.? Apply advanced blockchain techniques to create practical DeFi solutions.? Understand how to integrate blockchain with existing financial infrastructures.? Learn key security practices to protect DeFi platforms from vulnerabilities.Table of Contents1. Introduction to JavaScript and Node.js with Express2. Getting Started with Blockchain3. Fundamentals of Ethereum and Smart Contract Development4. Application Development on Ethereum5. Exploring Hyperledger Fundamentals6. Setting Up a Hyperledger Fabric Network7. Developing Chaincode for Hyperledger Fabric8. Building Applications on Hyperledger Fabric9. Architecting a Decentralized Finance (DeFi) Application10. Interconnecting Blockchain, DeFi, NFTs, and Web311. Implementing Real-Time Applications IndexAbout the AuthorsShubham Jain is an experienced Senior Software Engineer specializing in full- stack development and blockchain technologies. He holds an M.Sc. in IT and an advanced certification in blockchain from IIT-B.His contributions include international projects in travel, banking, finance, and manufacturing, which are used by billions of people worldwide. As a lifelong learner and writer, he shares his knowledge of blockchain and technology through articles. He is actively involved in the developer community on platforms such as GitHub and Medium, where he collaborates with fellow tech enthusiasts.He is also passionate about mentoring aspiring developers and contributing to solutions in decentralized finance and blockchain applications.Beyond his professional achievements, he enjoys adventurous act...

Master Hyperledger Fabric for Decentralized Finance Solutions.Key Features Build and deploy decentralized finance (DeFi) applications with blockchain. Step-by-step guidance on utilizing Hyperledger Fabric and Ethereum. Learn advanced techniques to create secure, scalable DeFi solutions. Book Description Learning Hyperledger Fabric for DeFi is crucial as it empowers developers to create secure, scalable, and efficient blockchain-based systems, laying the foundation for the future of decentralized financial ecosystems. "Ultimate Hyperledger Fabric for DeFi with Blockchain" is a comprehensive guide that helps developers master the implementation of decentralized finance (DeFi) applications using Hyperledger Fabric and Ethereum. With a focus on decentralized applications (dApps), the book provides a detailed understanding of blockchain technologies, with hands-on examples that demonstrate how to leverage these tools in real-world DeFi ecosystems. Covering everything from fundamental blockchain concepts to advanced techniques, it supports both beginners and experienced developers in creating robust decentralized financial solutions. By the end of this book, readers will be equipped to design and deploy blockchain-based DeFi solutions that meet industry standards for security, scalability, and efficiency. Start building your own DeFi applications today and unlock the future of finance with this essential guide! What you will learn Design and deploy decentralized applications (dApps) using Hyperledger Fabric. Enhance the security and scalability of blockchain-based DeFi systems. Integrate Ethereum to leverage advanced smart contract capabilities. Apply advanced blockchain techniques to create practical DeFi solutions. Understand how to integrate blockchain with existing financial infrastructures. Learn key security practices to protect DeFi platforms from vulnerabilities. Table of Contents 1. Introduction to JavaScript and Node.js with Express 2. Getting Started with Blockchain 3. Fundamentals of Ethereum and Smart Contract Development 4. Application Development on Ethereum 5. Exploring Hyperledger Fundamentals 6. Setting Up a Hyperledger Fabric Network 7. Developing Chaincode for Hyperledger Fabric 8. Building Applications on Hyperledger Fabric 9. Architecting a Decentralized Finance (DeFi) Application 10. Interconnecting Blockchain, DeFi, NFTs, and Web3 11. Implementing Real-Time Applications.

In a world where digital content creation is constantly evolving, "Ultimate Guide to Creating TikToks with ChatGPT" emerges as the essential manual for all content creators, both new and experienced, looking to revolutionize their presence on TikTok. This book offers a detailed roadmap to mastering content creation for TikTok, exploring not only the secrets of this popular platform but also integrating the power of ChatGPT to take your TikToks to the next level.Content BreakdownIntroduction - Here, we lay the foundation of what you can expect throughout the journey, presenting a deep insight into the background and primary purpose of the book. Chapter 1: TikTok Fundamentals - This chapter is your introduction to the TikTok platform. From creating a successful account to taking the first steps to create captivating content, this chapter prepares you with all the basic tools you need to start your journey. Chapter 2: Introduction to ChatGPT - Dive deep into the universe of ChatGPT, understanding its history, development, features, and functionalities, as well as its setup to facilitate a seamless collaboration with TikTok. Chapter 3: Generating TikTok Ideas with ChatGPT - Discover how ChatGPT can be your ideal partner for brainstorming, helping you to create exceptional scripts, develop intriguing characters, and plot captivating narratives. Chapter 4: Producing TikToks with ChatGPT - Learn about the entire production cycle, from pre-production to post-production, facilitating a structured and efficient process to create standout TikToks. Chapter 5: Promotion and Growth Strategies - This chapter provides you with meticulously crafted content strategies and tips on how to use ChatGPT for engagement, as well as analyzing metrics and making necessary adjustments for exponential growth. Conclusion - Reflect on the future of AI content creation and receive valuable advice that will serve you in the long run in your content creation career. Why Should You Read This Book?If you are looking to innovate, stand out, and capture a loyal audience on TikTok, this book is for you. Through practical advice and proven techniques, you will be equipped with everything you need to create authentic, engaging, and high-quality content. Furthermore, we open the doors to the future of content creation, exploring how the integration of artificial intelligence technologies like ChatGPT can enhance your efforts and allow you to reach unimaginable heights on the platform.Who is This Book For?The "Ultimate Guide to Creating TikToks with ChatGPT" is suitable for both novices looking to establish a presence on TikTok, and experienced content creators wanting to up their game with the power of artificial intelligence. It is a practical guide that demystifies the complexity of using AI technology for content creation, making it accessible to everyone.Dont wait any longer, take the step towards the future of content creation with "Ultimate Guide to Creating TikToks with ChatGPT." Get your copy today and start transforming your ideas into irresistible TikToks!

If there is a section that most hacking books and blog posts currently disregard, it is the stay safe section. In other words, they fail to detail the schemes and techniques a typical hacker (or activist) should use to guarantee a certain level of anonymity and safety. You may be the best hacker in the world, but if you cannot control your footprint on the internet and correctly erase your trail, you will simply crash and burn.There are many books on how to be anonymous online with tips that may work to some extent: disabling JavaScript, installing the Ghostery extension, using TOR, etc. These techniques may be effective against Facebook tracking and Google ads, but will do you no good against an active investigator tracking you down following a nasty hack, or a state sponsored surveillance program targeting activists. There is a mindset to have as well as a series of practical precautions to take when you want to completely disappear off the grid. Together, we will set up an anonymous environment that guarantees maximum protection and shields your identity against prying eyes. Of course, there is no such thing as a zero-risk job, but we will try to get as close as possible.

Architect Google Cloud Solutions That Go Beyond Certification Key Features Master core GCP services, including Compute, Storage, and Networking. Apply GCP design patterns to real-world enterprise architecture. Prepare with exam-focused guidance, diagrams, and case scenarios. Book Description In todays cloud-first world, the Google Cloud Professional Cloud Architect certification stands as one of the most respected credentials in enterprise IT. Ultimate Google Professional Cloud Architect Certification Guide is your companion to achieving that goal. This book goes far beyond exam preparation. It is a hands-on, real-world companion that walks you through every architectural decision-making point you will face on Google Cloud Platform (GCP). You will begin with the building blocks, such as Compute Engine, Autoscaling, Load Balancing, and Storage. From there, you will navigate through advanced networking, managed services like App Engine, and orchestration, using Google Kubernetes Engine (GKE). As the chapters progress, you will unlock the power of serverless architectures with Cloud Functions and Cloud Run, explore asynchronous communication via Pub/Sub and Dataflow, and dive into Google Clouds relational, NoSQL, and caching databases. Crucial topics like IAM, billing, resource hierarchy, and network peering are thoroughly covered to prepare you for enterprise-grade deployments. You will also master observability with Cloud Operations Suite and apply DevOps, CI/CD, and SRE principles in practical, deployment-ready scenarios. Hence, whether you are an engineer looking to level up or an architect leading transformation initiatives, this book equips you with the knowledge, context, and confidence to succeednot just in the exam, but in the real world of cloud architecture. What you will learn Design scalable infrastructure with Compute Engine and Load Balancing. Architect secure networks, using VPCs, IAM, and Shared VPC. Implement serverless and containerized apps with Cloud Run and GKE. Leverage Google Clouds asynchronous tools such as Pub/Sub and Dataflow. Choose and integrate relational, NoSQL, and caching databases. Apply DevOps, SRE, and CI/CD practices, using Cloud Operations tools.