Harness the power of this popular declarative configuration management tool to automate your infrastructure configurationPurchase of the print or Kindle book includes a free PDF eBookKey Features:Understand the core concepts and best approaches to the latest version of the Puppet languageLearn the key components of the Puppet platform and see how they deploy and apply Puppet code to infrastructureDiscover approaches to collaborative working by using the right structure of code and deploymentBook Description:As DevOps and platform engineering drive the demand for robust internal development platforms, the need for infrastructure configuration tools has never been greater. Puppet, a powerful configuration management tool, is widely used by leading enterprises and boasts a thriving open source community.This book provides a comprehensive explanation of both the Puppet language and the platform. It begins by helping you grasp the basic concepts and approach of Puppet as a stateful language, and then builds up to explaining how to structure Puppet code to scale and allow flexibility and collaboration among teams. As you advance, you'll find out how the Puppet platform allows the management and reporting of infrastructure configuration. The book also shows you how the platform can be integrated with other tooling, such as ServiceNow and Splunk. The concluding chapters help you implement Puppet to fit in heavily regulated and audited environments as well as modern hybrid cloud environments.By the end of this book, you'll have gained a solid understanding of the capabilities of both the Puppet language and platform, and you will have learned how to structure and scale Puppet to create a platform to provide enterprise-grade infrastructure configuration.What You Will Learn:Find out how to structure Puppet code and data to scale and be secureDiscover the core components of the Puppet platform and how to achieve performanceGet to grips with classifying infrastructure and deploying code for different environmentsUnderstand how Bolt can provide procedural orchestration alongside Puppet codeUse Puppet's integrations and Forge modules that allow Puppet to integrate with other systemsAdopt approaches to adoption to ensure your Puppet implementation will succeed in regulated environments, the cloud, and with change controlWho this book is for:This book is for DevOps engineers looking to automate infrastructure with Puppet as a configuration management tool. It will allow both beginners and current Puppet users to understand the full power of the Puppet language and platform. A basic understanding of Unix system administration and Windows systems and core development concepts such as revision control tools like git, virtualization, testing, and coding tooling like vi or Visual Studio code is a prerequisite.
Avoid MFA pitfalls-learn how to choose, implement, and troubleshoot MFA in your companyPurchase of the print or Kindle book includes a free PDF eBookKey Features:Gain proficiency in using solutions like Okta, Ping Identity, and ForgeRock within the IAM domainThwart authentication breaches using pragmatic strategies and lessons derived from real-world scenariosChoose the right MFA solutions to enhance your organization's securityBook Description:MFA has emerged as an essential defense strategy in the wide-ranging landscape of cybersecurity. This book is a comprehensive manual that assists you in picking, implementing, and resolving issues with various authentication products that support MFA. It will guide you to bolster application security without sacrificing the user experience.You'll start with the fundamentals of authentication and the significance of MFA to familiarize yourself with how MFA works and the various types of solutions currently available. As you progress through the chapters, you'll learn how to choose the proper MFA setup to provide the right combination of security and user experience. The book then takes you through methods hackers use to bypass MFA and measures to safeguard your applications. After familiarizing yourself with enabling and managing leading cloud and on-premise MFA solutions, you'll see how MFA efficiently curbs cyber threats, aided by insights from industry best practices and lessons from real-world experiences. Finally, you'll explore the significance of innovative advancements in this domain, including behavioral biometrics and passkeys.By the end of the book, you'll have the knowledge to secure your workforce and customers, empowering your organization to combat authentication fraud.What You Will Learn:Evaluate advantages and limitations of MFA methodsWork with advanced authentication methods including passkeys and WebAuthnImplement and fine-tune popular cloud-based and on-premises solutionsChoose the best MFA solution for your security needsReduce UX friction with behavioral biometricsStay informed about technologies and future trends in the fieldWho this book is for:This book is for developers, system administrators, security professionals, white-hat hackers, CISOs, and anyone interested in understanding and enhancing their access management infrastructure. While basic knowledge of authentication and IAM is helpful, it is not a prerequisite.
Discover how different QRadar components fit together and explore its features and implementations based on your platform and environmentPurchase of the print or Kindle book includes a free PDF eBookKey Features:Get to grips with QRadar architecture, components, features, and deploymentsUtilize IBM QRadar SIEM to respond to network threats in real timeLearn how to integrate AI into threat management by using QRadar with WatsonBook Description:This comprehensive guide to QRadar will help you build an efficient security operations center (SOC) for threat hunting and need-to-know software updates, as well as understand compliance and reporting and how IBM QRadar stores network data in real time.The book begins with a quick introduction to QRadar components and architecture, teaching you the different ways of deploying QRadar. You'll grasp the importance of being aware of the major and minor upgrades in software and learn how to scale, upgrade, and maintain QRadar. Once you gain a detailed understanding of QRadar and how its environment is built, the chapters will take you through the features and how they can be tailored to meet specifi c business requirements. You'll also explore events, flows, and searches with the help of examples. As you advance, you'll familiarize yourself with predefined QRadar applications and extensions that successfully mine data and find out how to integrate AI in threat management with confidence. Toward the end of this book, you'll create different types of apps in QRadar, troubleshoot and maintain them, and recognize the current security challenges and address them through QRadar XDR.By the end of this book, you'll be able to apply IBM QRadar SOC's prescriptive practices and leverage its capabilities to build a very efficient SOC in your enterprise.What You Will Learn:Discover how to effectively use QRadar for threat managementUnderstand the functionality of different QRadar componentsFind out how QRadar is deployed on bare metal, cloud solutions, and VMsProactively keep up with software upgrades for QRadarUnderstand how to ingest and analyze data and then correlate it in QRadarExplore various searches, and learn how to tune and optimize themSee how to maintain and troubleshoot the QRadar environment with easeWho this book is for:This book is for security professionals, SOC analysts, security engineers, and any cybersecurity individual looking at enhancing their SOC and SIEM skills and interested in using IBM QRadar to investigate incidents in their environment to provide necessary security analytics to responsible teams. Basic experience with networking tools and knowledge about cybersecurity threats is necessary to grasp the concepts present in this book.
Gain a firm, practical understanding of securing your network and utilize Python's packages to detect vulnerabilities in your applicationKey Features:Discover security techniques to protect your network and systems using PythonCreate scripts in Python to automate security and pentesting tasksAnalyze traffic in a network and extract information using PythonBook Description:Python's latest updates add numerous libraries that can be used to perform critical security-related missions, including detecting vulnerabilities in web applications, taking care of attacks, and helping to build secure and robust networks that are resilient to them. This fully updated third edition will show you how to make the most of them and improve your security posture.The first part of this book will walk you through Python scripts and libraries that you'll use throughout the book. Next, you'll dive deep into the core networking tasks where you will learn how to check a network's vulnerability using Python security scripting and understand how to check for vulnerabilities in your network - including tasks related to packet sniffing. You'll also learn how to achieve endpoint protection by leveraging Python packages along with writing forensics scripts.The next part of the book will show you a variety of modern techniques, libraries, and frameworks from the Python ecosystem that will help you extract data from servers and analyze the security in web applications. You'll take your first steps in extracting data from a domain using OSINT tools and using Python tools to perform forensics tasks.By the end of this book, you will be able to make the most of Python to test the security of your network and applications.What You Will Learn:Program your own tools in Python that can be used in a Network Security processAutomate tasks of analysis and extraction of information from serversDetect server vulnerabilities and analyze security in web applicationsAutomate security and pentesting tasks by creating scripts with PythonUtilize the ssh-audit tool to check the security in SSH serversExplore WriteHat as a pentesting reports tool written in PythonAutomate the process of detecting vulnerabilities in applications with tools like FuxploiderWho this book is for:This Python book is for network engineers, system administrators, and other security professionals looking to overcome common networking and security issues using Python. You will also find this book useful if you're an experienced programmer looking to explore Python's full range of capabilities. A basic understanding of general programming structures as well as familiarity with the Python programming language is a prerequisite.
Elevate your problem-solving prowess by using cutting-edge quantum machine learning algorithms in the financial domainPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn to solve financial analysis problems by harnessing quantum powerUnlock the benefits of quantum machine learning and its potential to solve problemsTrain QML to solve portfolio optimization and risk analytics problemsBook DescriptionQuantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you'll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.By the end of this book, you'll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.What you will learnExamine quantum computing frameworks, models, and techniquesGet to grips with QC's impact on financial modelling and simulationsUtilize Qiskit and Pennylane for financial analysesEmploy renowned NISQ algorithms in model buildingDiscover best practices for QML algorithmSolve data mining issues with QML algorithmsWho this book is forThis book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.Table of ContentsQuantum Computing ParadigmQuantum Machine Learning AlgorithmsQuantum Finance LandscapeDerivatives ValuationPortfolio ValuationsCredit Risk AnalyticsImplementation in Quantum CloudsHPCs and Simulators RelevanceNISQ Quantum Hardware EvolutionQuantum Roadmap for Banks and Fintechs
Unlock your organizational potential and scale your business using observability with this information packed guidePurchase of the print or Kindle book includes a free PDF eBookKey Features:Learn the principles of identifying stakeholders, tools, and processes necessary for implementing observabilityDevelop strategies to self-sustain the observability journey in the long runLearn with real-life case studies to set up observability for your enterpriseBook Description:Observability can be implemented in multiple ways within an organization based on the organization's needs. So, it's crucial for organizations to decide whether they need observability and to what extent, what skills and tools will suit them, and how long will it take to implement it. Implementing Enterprise Observability for Success provides a step-by-step approach to help you create an observability strategy, understand the principles behind the creation of the strategy, and logical steps to plan and execute the implementation.You'll learn about observability fundamentals and challenges, the importance of data and analytics along with different tools. Further, you'll discover the various layers from which data should be collected for setting up observability.Through real- life examples distilled from the author's experience in implementing observability at an enterprise level, you'll uncover some of the non-technical & technical drivers of observability like the culture of the organization, the hierarchy of stakeholders, tools at disposal and the willingness to invest.By the end of this book, you'll be well-equipped to plan the observability journey, identify different stakeholders, spot the technology stack required, and lay out an effective plan for organization-wide adoption.What You Will Learn:Understand observability fundamentals from scratchGet to grips with common challenges in implementing observabilitySegregate organizations according to their size for implementing observabilityLeverage analytics to better understand the value of collected dataExplore best practices from case studies to smoothen your observability journeyUnderstand the Observability Maturity Model and the essential people skills necessary to attain each maturity levelWho this book is for:This book is for technology leaders, architects, and initiative leads looking to enhance monitoring and/or implementing observability. Engineers, developers, and professionals already working on monitoring and analytics or are responsible for scaling the observability implementation across multiple teams or at an organizational level can also benefit from this book. A deep understanding of monitoring concepts, general knowledge of IT systems and processes along with familiarity with working across various stakeholders is required.
Advance your game development skills and master the art of crafting intricate and visually stunning materials using Unreal Engine 5's powerful Material Editor with the help of this illustrated guideKey Features:- Create spectacular visual effects for use in both games and virtual productions- Design efficient shaders for any real-time platform without sacrificing realism- Leverage Unreal Engine's rendering pipeline and the innards of the material graphBook Description:Unreal Engine is here to stay! Since the launch of the first edition of this book, based on the Unreal Engine 5 technology, real-time rendering has only grown in popularity. The demand for expertise in this area has grown exponentially across various fields over the last few years, and Unreal Engine 5 builds upon that foundation and continues to push the boundaries of what is achievable in an interactive format.Against this backdrop, the second edition of this book takes a leap forward and explores the new opportunities offered by the latest version of the engine, including Lumen, ray tracing, and Nanite. The book also revisits previously covered techniques and updates them to current standards, shining new light on topics such as the PBR workflow and the different lighting solutions that were present in the first edition. Throughout the chapters, you'll be able to focus on two key principles that you need to consider when dealing with real-time graphics: optimization and efficiency.By the end of this book, you'll have explored the many rendering possibilities that Unreal Engine 5 has to offer to become the master of your own creations!What You Will Learn:- Leverage the capabilities of Lumen and Nanite to create breathtaking experiences- Attain proficiency in the rendering pipeline of Unreal Engine to develop real-time graphics- Utilize the physically based rendering pipeline to achieve photorealistic rendering across multiple scenes- Explore the Material Editor to build complex materials and textures and achieve a high level of detail- Optimize your materials to run seamlessly on multiple platforms- Understand the various nodes and functions required to create impressive visual effectsWho this book is for:This comprehensive guide is designed for anyone who is passionate about rendering, real-time graphics, and creating visually stunning experiences with Unreal Engine. Whether you're a beginner or a seasoned professional, this book offers a gentle learning curve that takes you from the fundamentals of the rendering pipeline to the most advanced techniques in the field. With a wealth of information and expert guidance, you'll quickly become proficient in the art of material creation, regardless of your background knowledge.Table of Contents- Understanding Physically Based Rendering- Customizing Opaque Materials and Using Textures- Making Translucent Objects- Playing with Nanite, Lumen, and Other UE5 Goodies- Working with Advanced Material Techniques- Optimizing Materials for Mobile Platforms- Exploring Some More Useful Nodes- Going Beyond Traditional Materials- Adding Post-Processing Effects
Deploy your data ingestion pipeline, orchestrate, and monitor efficiently to prevent loss of data and qualityPurchase of the print or Kindle book includes a free PDF eBookKey Features:Harness best practices to create a Python and PySpark data ingestion pipelineSeamlessly automate and orchestrate your data pipelines using Apache AirflowBuild a monitoring framework by integrating the concept of data observability into your pipelinesBook Description:Data Ingestion with Python Cookbook offers a practical approach to designing and implementing data ingestion pipelines. It presents real-world examples with the most widely recognized open source tools on the market to answer commonly asked questions and overcome challenges.You'll be introduced to designing and working with or without data schemas, as well as creating monitored pipelines with Airflow and data observability principles, all while following industry best practices. The book also addresses challenges associated with reading different data sources and data formats. As you progress through the book, you'll gain a broader understanding of error logging best practices, troubleshooting techniques, data orchestration, monitoring, and storing logs for further consultation.By the end of the book, you'll have a fully automated set that enables you to start ingesting and monitoring your data pipeline effortlessly, facilitating seamless integration with subsequent stages of the ETL process.What You Will Learn:Implement data observability using monitoring toolsAutomate your data ingestion pipelineRead analytical and partitioned data, whether schema or non-schema basedDebug and prevent data loss through efficient data monitoring and loggingEstablish data access policies using a data governance frameworkConstruct a data orchestration framework to improve data qualityWho this book is for:This book is for data engineers and data enthusiasts seeking a comprehensive understanding of the data ingestion process using popular tools in the open source community. For more advanced learners, this book takes on the theoretical pillars of data governance while providing practical examples of real-world scenarios commonly encountered by data engineers.
Unleash the full potential of Power BI with the integration of AI and machine learning techniques using OpenAIPurchase of the print or Kindle book includes a free PDF eBookKey Features:Take flight with Power BI machine learning and OpenAI using hands-on examples from the FAA airline dataUnlock the full potential of Power BI for advanced analytics using OpenAIDesign stunning data presentations, seamless integration of machine learning tools and technologies with OpenAIBook Description:Microsoft Power BI is the ultimate solution for businesses looking to make data-driven decisions and unlock the full potential of their data. Unleashing Your Data with Power BI Machine Learning and OpenAI is designed for data scientists and BI professionals seeking to improve their existing solutions and workloads using AI.The book explains the intricacies of the subject by using a workshop-style data story for data ingestion, data modeling, analytics, and predictive analytics with Power BI machine learning. Along the way,you'll learn about AI features, AI visuals, R/Python integration, and OpenAI integration.The workshop-style content allows you to practice all your learnings in real-life challenges and gain hands-on experience. Additionally, you'll gain an understanding of AI/ML, step by step, with replicable examples and references. From enhancing data visualizations to building SaaS Power BI ML models, and integrating Azure OpenAI, this book will help you unlock new capabilities in Power BI.By the end of this book, you'll be well-equipped to build ML models in Power BI, plan projects for both BI and ML, understand R/Python visuals with Power BI, and introduce OpenAI to enhance your analytics solutions.What You Will Learn:Discover best practices for implementing AI and ML capabilities in Power BI along with integration of OpenAI into the solutionUnderstand how to integrate OpenAI and cognitive services into Power BIExplore how to build a SaaS auto ML model within Power BIGain an understanding of R/Python integration with Power BIEnhance data visualizations for ML feature discoveryDiscover how to improve existing solutions and workloads using AI and ML capabilities in Power BI with OpenAIAcquire tips and tricks for successfully using AI and ML capabilities in Power BI along with integration of OpenAI into the solutionWho this book is for:This book is for data science and BI professionals looking to expand their skill sets into Power BI machine learning and OpenAI. This book is also useful for data scientists, data analysts, and IT professionals who want to learn how to incorporate OpenAI into Power BI for advanced experience.
Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental dataPurchase of the print or Kindle book includes a free PDF eBookKey Features- Examine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and more- Discover modern causal inference techniques for average and heterogenous treatment effect estimation- Explore and leverage traditional and modern causal discovery methodsBook DescriptionCausal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality.You'll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you'll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you'll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You'll further explore the mechanics of how "causes leave traces" and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.By the end of this book, you will be able to build your own models for causal inference and discovery using statistical and machine learning techniques as well as perform basic project assessment.What you will learn- Master the fundamental concepts of causal inference- Decipher the mysteries of structural causal models- Unleash the power of the 4-step causal inference process in Python- Explore advanced uplift modeling techniques- Unlock the secrets of modern causal discovery using Python- Use causal inference for social impact and community benefitWho this book is forThis book is for machine learning engineers, researchers, and data scientists looking to extend their toolkit and explore causal machine learning. It will also help people who've worked with causality using other programming languages and now want to switch to Python, those who worked with traditional causal inference and want to learn about causal machine learning, and tech-savvy entrepreneurs who want to go beyond the limitations of traditional ML. You are expected to have basic knowledge of Python and Python scientific libraries along with knowledge of basic probability and statistics.Table of Contents- Causality - Hey, We Have Machine Learning, So Why Even Bother?- Judea Pearl and the Ladder of Causation- Regression, Observations, and Interventions- Graphical Models- Forks, Chains, and Immoralities- Nodes, Edges, and Statistical (In)dependence- The Four-Step Process of Causal Inference- Causal Models - Assumptions and Challenges- Causal Inference and Machine Learning - from Matching to Meta- Learners- Causal Inference and Machine Learning - Advanced Estimators, Experiments, Evaluations, and More- Causal Inference and Machine Learning - Deep Learning, NLP, and Beyond- Can I Have a Causal Graph, Please?(N.B. Please use the Read Sample option to see further chapters)
Master the art of training vision and large language models with conceptual fundaments and industry-expert guidance. Learn about AWS services and design patterns, with relevant coding examplesKey Features:Learn to develop, train, tune, and apply foundation models with optimized end-to-end pipelines.Explore large-scale distributed training for models and datasets with AWS and SageMaker examples.Evaluate, deploy, and operationalize your custom models with bias detection and pipeline monitoring.Book Description:Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization.With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you'll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models.You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines.By the end of this book, you'll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future.What You Will Learn:Find the right use cases and datasets for pretraining and fine-tuningPrepare for large-scale training with custom accelerators and GPUsConfigure environments on AWS and SageMaker to maximize performanceSelect hyperparameters based on your model and constraintsDistribute your model and dataset using many types of parallelismAvoid pitfalls with job restarts, intermittent health checks, and moreEvaluate your model with quantitative and qualitative insightsDeploy your models with runtime improvements and monitoring pipelinesWho this book is for:If you're a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. Intermediate Python is a must, along with introductory concepts of cloud computing. A strong understanding of deep learning fundamentals is needed, while advanced topics will be explained. The content covers advanced machine learning and cloud techniques, explaining them in an actionable, easy-to-understand way.
Explore the inner workings of AI along with its limitations and future developments and create your first transparent and trustworthy neuro-symbolic AI systemPurchase of the print or Kindle book includes a free PDF eBookKey Features:Understand symbolic and statistical techniques through examples and detailed explanationsExplore the potential of neuro-symbolic AI for future developments using case studiesDiscover the benefits of combining symbolic AI with modern neural networks to build transparent and high-performance AI solutionsBook Description:Neuro-symbolic AI offers the potential to create intelligent systems that possess both the reasoning capabilities of symbolic AI along with the learning capabilities of neural networks. This book provides an overview of AI and its inner mechanics, covering both symbolic and neural network approaches.You'll begin by exploring the decline of symbolic AI and the recent neural network revolution, as well as their limitations. The book then delves into the importance of building trustworthy and transparent AI solutions using explainable AI techniques. As you advance, you'll explore the emerging field of neuro-symbolic AI, which combines symbolic AI and modern neural networks to improve performance and transparency. You'll also learn how to get started with neuro-symbolic AI using Python with the help of practical examples. In addition, the book covers the most promising technologies in the field, providing insights into the future of AI.Upon completing this book, you will acquire a profound comprehension of neuro-symbolic AI and its practical implications. Additionally, you will cultivate the essential abilities to conceptualize, design, and execute neuro-symbolic AI solutions.What You Will Learn:Gain an understanding of the intuition behind neuro-symbolic AIDetermine the correct uses that can benefit from neuro-symbolic AIDifferentiate between types of explainable AI techniquesThink about, design, and implement neuro-symbolic AI solutionsCreate and fine-tune your first neuro-symbolic AI systemExplore the advantages of fusing symbolic AI with modern neural networks in neuro-symbolic AI systemsWho this book is for:This book is ideal for data scientists, machine learning engineers, and AI enthusiasts who want to explore the emerging field of neuro-symbolic AI and discover how to build transparent and trustworthy AI solutions. A basic understanding of AI concepts and familiarity with Python programming are needed to make the most of this book.
Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAIPurchase of the print or Kindle book includes a free PDF eBookKey Features:Explore the theory behind generative AI models and the road to GPT3 and GPT4Become familiar with ChatGPT's applications to boost everyday productivityLearn to embed OpenAI models into applications using lightweight frameworks like LangChainBook Description:Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data.Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster.You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications.By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects.What You Will Learn:Understand generative AI concepts from basic to intermediate levelFocus on the GPT architecture for generative AI modelsMaximize ChatGPT's value with an effective prompt designExplore applications and use cases of ChatGPTUse OpenAI models and features via API callsBuild and deploy generative AI systems with PythonLeverage Azure infrastructure for enterprise-level use casesEnsure responsible AI and ethics in generative AI systemsWho this book is for:This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain - all by using Chat GPT and OpenAI Models.A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.
Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrimePurchase of the print or Kindle book includes a free PDF eBookKey Features:Learn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook Description:Machine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space.The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python - by using open source datasets or instructing you to create your own. In one exercise, you'll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, you'll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio.By the end of this book, you'll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML.What You Will Learn:Use GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and featuresDiscover how to apply ML techniques in the cybersecurity domainApply state-of-the-art algorithms such as transformers and GNNs to solve security-related issuesLeverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysisApply privacy-preserving ML techniques and use differential privacy to protect user data while training ML modelsBuild your own portfolio with end-to-end ML projects for cybersecurityWho this book is for:This book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you're a beginner or an experienced professional, this book offers a unique and valuable learning experience that'll help you develop the skills needed to protect your network and data against the ever-evolving threat landscape.
Write, test and publish your web, desktop, and embedded apps with this most up-to-date book on Flutter using the Dart programming language.Key Features:Thoroughly updated to cover the latest features in Flutter 3.x and Dart 3 (alpha)Practical recipes to publish responsive, multi-platform apps from a single databaseCovers not just the 'hows' but the 'whys' of Flutter's features with examplesBook Description:Discover how to master Flutter and become a skilled app developer with the Flutter Cookbook, Second Edition! This recipe-based guide is the ultimate solution for creating cutting-edge, high-performance mobile apps that stand out in the market.With the latest features of Flutter 3.x, you'll learn how to set up and customize the Flutter SDK for macOS and Windows, build a robust architecture for your application, and master state management solutions and networking techniques. From mastering widgets and creating effective UI/UX design to implementing hot reload and re-start techniques, this book covers all the aspects of developing a successful app.You'll dive deep into the fundamentals of Dart programming and gain expert knowledge on managing incoming and outgoing data, and adding interactivity, animations, and essential Flutter plugins like maps, camera, voice, and more. Moreover, you'll explore custom machine learning solutions with a dedicated chapter on implementing MLkit, which runs on TensorFlow Lite.By the end of this book, you'll have the confidence to write fully functional Flutter apps that are ready to hit the market. Take your Flutter development skills to the next level with the Flutter Cookbook, Second Edition!What You Will Learn:Familiarize yourself with Dart fundamentals and set up your development environmentEfficiently track and eliminate code errors with proper toolsCreate various screens using multiple widgets to effectively manage dataCraft interactive and responsive apps by incorporating routing, page navigation, and input field text readingDesign and implement a reusable architecture suitable for any appMaintain control of your codebase through automated testing and developer toolingDevelop engaging animations using the necessary toolsEnhance your apps with ML features using Firebase MLKit and TensorFlow LiteWho this book is for:Developers who are familiar with the OOP language and prefer learning-by-doing will get the most out of this book. If you have some experience building apps on Flutter or have been playing around with the framework for some time now and have set eyes on developing mobile apps using Dart, then this book is for you.
Set up your first channel and effectively expand your outreach and customer base with Mailchimp to deliver scalable business outcomesPurchase of the print or Kindle book includes a free PDF eBookKey Features:Learn audience management strategies to make informed decisions for your marketing channelsEmploy practical use cases for your custom business needs to implement basic and pro Mailchimp featuresCustomize Mailchimp using powerful integrations to deliver top-notch user experienceBook Description:Are you looking for an all-in-one comprehensive guide to implementing Mailchimp channels and automation for your business? Then Marketing Automation with Mailchimp can be your go-to guide. You'll start by learning common terms used in the Mailchimp environment, as well as about account setup and audience management for businesses. After that, you'll find out how to set up channels, where you'll actively interact with your contacts and begin to add new ones. Additionally, you'll gain an understanding of how to set up a consistent marketing presence in the form of emails and websites and the benefits of determining a brand identity.You'll also explore advanced Mailchimp features to optimize platform utilization using analytics, reporting, A/B and multivariate testing, the customer journey builder, and the Mailchimp e-commerce store. Toward the end, you'll discover some important shopping, payment, and CRM integrations that can be connected to your Mailchimp platform for custom business needs. With this book, you'll gain insights into real-world use cases to implement a marketing strategy to extend your existing work.By the end of this book, you'll be well-equipped to implement Mailchimp marketing automation seamlessly into your business to grow your customer base and revenue.What You Will Learn:Understand specific account-level settings, their purpose, and account managementExplore strategies and tools for managing inactive contacts for target marketingIntegrate Mailchimp for easy customization with a low-code options for customizationEstablish a strong marketing presence with email and websites and leverage it for e-commerce and servicesDiscover advanced reporting and analytics by turning audience information into relevant growth metricsAutomate your marketing workflows using the Mailchimp customer journey builderWho this book is for:This book is for marketing professionals or small-to-midsize business entrepreneurs looking to start a marketing journey through powerful marketing automation. To get the best from this book, you must be familiar with using web apps and have an understanding of content design. This book will help anyone who is looking to start a marketing career and wants to take hands-on ownership of building marketing and outreach strategies for the business.
Use R and tidyverse to prepare, clean, import, visualize, transform, program, communicate, predict and model dataNo R experience is required, although prior exposure to statistics and programming is helpfulPurchase of the print or Kindle book includes a free eBook in PDF format.Key Features:- Get to grips with the tidyverse, challenging data, and big data- Create clear and concise data and model visualizations that effectively communicate results to stakeholders- Solve a variety of problems using regression, ensemble methods, clustering, deep learning, probabilistic models, and moreBook Description:Dive into R with this data science guide on machine learning (ML). Machine Learning with R, Fourth Edition, takes you through classification methods like nearest neighbor and Naive Bayes and regression modeling, from simple linear to logistic.Dive into practical deep learning with neural networks and support vector machines and unearth valuable insights from complex data sets with market basket analysis. Learn how to unlock hidden patterns within your data using k-means clustering.With three new chapters on data, you'll hone your skills in advanced data preparation, mastering feature engineering, and tackling challenging data scenarios. This book helps you conquer high-dimensionality, sparsity, and imbalanced data with confidence. Navigate the complexities of big data with ease, harnessing the power of parallel computing and leveraging GPU resources for faster insights.Elevate your understanding of model performance evaluation, moving beyond accuracy metrics. With a new chapter on building better learners, you'll pick up techniques that top teams use to improve model performance with ensemble methods and innovative model stacking and blending techniques.Machine Learning with R, Fourth Edition, equips you with the tools and knowledge to tackle even the most formidable data challenges. Unlock the full potential of machine learning and become a true master of the craft.What You Will Learn:- Learn the end-to-end process of machine learning from raw data to implementation- Classify important outcomes using nearest neighbor and Bayesian methods- Predict future events using decision trees, rules, and support vector machines- Forecast numeric data and estimate financial values using regression methods- Model complex processes with artificial neural networks- Prepare, transform, and clean data using the tidyverse- Evaluate your models and improve their performance- Connect R to SQL databases and emerging big data technologies such as Spark, Hadoop, H2O, and TensorFlowWho this book is for:This book is designed to help data scientists, actuaries, data analysts, financial analysts, social scientists, business and machine learning students, and any other practitioners who want a clear, accessible guide to machine learning with R. No R experience is required, although prior exposure to statistics and programming is helpful.
Discover how Snowflake's unique objects and features can be used to leverage universal modeling techniques through real-world examples and SQL recipesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn core modeling techniques tied to practical examples using native Snowflake architectureAdopt a universal modeling language to communicate business value to functional teamsGo beyond physical modeling with SQL recipes to transform and shape your Snowflake dataBook DescriptionThe Snowflake Data Cloud is one of the fastest-growing platforms for data warehousing and application workloads. Snowflake's scalable, cloud-native architecture and expansive set of features and objects enables you to deliver data solutions quicker than ever before. Yet, we must ensure that these solutions are developed using recommended design patterns and accompanied by documentation that's easily accessible to everyone in the organization. This book will help you get familiar with simple and practical data modeling frameworks that accelerate agile design and evolve with the project from concept to code. These universal principles have helped guide database design for decades, and this book pairs them with unique Snowflake-native objects and examples like never before - giving you a two-for-one crash course in theory as well as direct application. By the end of this Snowflake book, you'll have learned how to leverage Snowflake's innovative features, such as time travel, zero-copy cloning, and change-data-capture, to create cost-effective, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples.What you will learnDiscover the time-saving features and applications of data modelingExplore Snowflake's cloud-native architecture and featuresUnderstand and apply modeling concepts, techniques, and language using Snowflake objectsMaster modeling concepts such as normalization and slowly changing dimensionsGet comfortable reading and transforming semi-structured dataWork directly with pre-built recipes and examplesApply modeling frameworks from Star to Data VaultWho this book is forThis book is for developers working with SQL who are looking to build a strong foundation in modeling best practices and gain an understanding of where they can be effectively applied to save time and effort. Whether you're an ace in SQL logic or starting out in database design, this book will equip you with the practical foundations of data modeling to guide you on your data journey with Snowflake. Developers who've recently discovered Snowflake will be able to uncover its core features and learn to incorporate them into universal modeling frameworks.Table of ContentsUnlocking the Power of ModelingAn Introduction to the Four Modeling TypesMastering Snowflake's ArchitectureMastering Snowflake ObjectsSpeaking Modeling through Snowflake ObjectsSeeing Snowflake's Architecture through Modeling NotationPutting Conceptual Modeling into PracticePutting Logical Modeling into PracticeDatabase NormalizationDatabase Naming and StructurePutting Physical Modeling into PracticePutting Transformational Modeling into PracticeModeling Slowly Changing DimensionsModeling Facts for Rapid AnalysisModeling Semi-Structured DataModeling HierarchiesScaling Data Models through Modern TechniquesAppendix
Quickly deliver microservices with CodeCommit, CodeBuild, CodeDeploy, and CodePipeline using software architecture patterns, microservices, and release pipelines Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn software architecture and microservices design patterns from an AWS certified professional architectDevelop microservices using Spring Boot and automate the release using CodePipelineDeploy microservices using CodeDeploy to EC2 instances, containers, and on premisesBook DescriptionReliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines. You'll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You'll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you'll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you'll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins. By the end of this microservices book, you'll have gained the hands-on skills to build release pipelines for your applications.What you will learnUnderstand the basics of architecture patterns and microservice developmentGet to grips with the continuous integration and continuous delivery of microservicesDelve into automated infrastructure provisioning with CloudFormation and TerraformExplore CodeCommit, CodeBuild, CodeDeploy, and CodePipeline servicesGet familiarized with automated code reviews and profiling using CodeGuruGrasp AWS Lambda function basics and automated deployment using CodePipelineUnderstand Docker basics and automated deployment to ECS and EKSExplore the CodePipeline integration with Jenkins Pipeline and on premises deploymentWho this book is forThis book is for software architects, DevOps engineers, SREs, and cloud engineers who want to learn more about automating their release pipelines for modifying features and releasing updates. Prior knowledge of AWS Cloud, Java, Maven, and Git will help you to get the most out of this book.Table of ContentsSoftware Architecture PatternsMicroservices Fundamentals and Design PatternsCI/CD Principles and Microservice DevelopmentInfrastructure as CodeCreating Repositories with AWS CodeCommitAutomating Code Reviews Using CodeGuruManaging Artifacts Using CodeArtifactBuilding and Testing Using AWS CodeBuildDeploying to an EC2 Instance Using CodeDeployDeploying to ECS Clusters Using Code DeploySetting Up CodePipeline CodeSetting up an Automated Serverless Deployment Automated Deployment to an EKS Cluster Extending CodePipeline Beyond AWS Appendix
Learn how to use Python scripts in Blender 3.3 to automate tasks, optimize your workflow, think like a 3D programmer, and start creating your tools quicklyPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesDiscover ready-to-go scripts that provide a clear solution to your problemsFind out how to automate repetitive tasks in an efficient wayExtend Blender's actions and user interface with your codeBook DescriptionBlender, a powerful open source 3D software, can be extended and powered up using the Python programming language. This book teaches you how to automate laborious operations using scripts, and expand the set of available commands, graphic interfaces, tools, and event responses, which will enable you to add custom features to meet your needs and bring your creative ideas to life. The book begins by covering essential Python concepts and showing you how to create a basic add-on. You'll then gain a solid understanding of the entities that affect the look of Blender's objects such as modifiers, constraints, and materials. As you advance, you'll get to grips with the animation system in Blender and learn how to set up its behavior using Python. The examples, tools, patterns, and best practices present throughout the book will familiarize you with the Python API and build your knowledge base, along with enabling you to produce valuable code that empowers the users and is ready for publishing or production. By the end of this book, you'll be able to successfully design add-ons that integrate seamlessly with the software and its ecosystem.What you will learnUnderstand the principles of 3D and programming, and learn how they operate in BlenderBuild engaging and navigation-friendly user interfaces that integrate with the native look and feelRespect coding guidelines and deliver readable and compliant code without the loss of originalityPackage your extensions into a complete add-on, ready for installation and distributionCreate interactive tools with a direct response to the user's actionCode comfortably and safely using version controlWho this book is forThis book is for Blender users who want to expand their skills and learn scripting, technical directors looking to automate laborious tasks, and professionals and hobbyists who want to learn more about the Python architecture underlying the Blender interface. Prior experience with Blender is a prerequisite, along with a basic understanding of the Python syntax-however, the book does provide quick explanations to bridge potential gaps in your background knowledge.Table of ContentsPython's Integration with BlenderPython Entities and APIsCreating Your Add-OnsExploring Object TransformationsDesigning Graphical InterfacesStructuring Our Code and Add-OnsThe Animation SystemAnimation ModifiersAnimation DriversAdvanced and Modal OperatorsObject ModifiersRendering and Shaders
Discover the secrets of building high-performing and scalable web applications with clean code using Elixir's metaprogrammingPurchase of the print or Kindle book includes a free PDF eBookKey Features:Explore the various web servers available to build robust web applicationsLeverage Elixir's powerful Plug module to build a request-response pipelineExplore advanced techniques of Elixir to create Domain-Specific languages and build scalable, maintainable web productsBook Description:Elixir's functional nature and metaprogramming capabilities make it an ideal language for building web frameworks, with Phoenix being the most ubiquitous framework in the Elixir ecosystem and a popular choice for companies seeking scalable web-based products. With an ever-increasing demand for Elixir engineers, developers can accelerate their careers by learning Elixir and the Phoenix web framework.With Build Your Own Web Framework in Elixir, you'll start by exploring the fundamental concepts of web development using Elixir. You'll learn how to build a robust web server and create a router to direct incoming requests to the correct controller. Then, you'll learn to dispatch requests to controllers to respond with clean, semantic HTML, and explore the power of Domain-Specific Languages (DSL) and metaprogramming in Elixir. You'll develop a deep understanding of Elixir's unique syntax and semantics, allowing you to optimize your code for performance and maintainability. Finally, you'll discover how to effectively test each component of your application for accuracy and performance.By the end of this book, you'll have a thorough understanding of how Elixir components are implemented within Phoenix, and how to leverage its powerful features to build robust web applications.What You Will Learn:Get a comprehensive understanding of the Phoenix framework built on ElixirUse metaprogramming to optimize your Elixir code and create high-performance web applicationsExplore web development fundamentals including the principles of HTTP and HTMLEmploy Elixir's templating engine to dispatch requests to a controller and respond with dynamically generated HTMLImprove the scalability and responsiveness of your web server by using OTP constructsStreamline your routing logic using error handlingWho this book is for:This book is for web developers seeking to deepen their understanding of Elixir's role in the Phoenix framework. Basic familiarity with Elixir is a must.
Uncover the secrets of building maintainable, extensible, and virtually indestructible cloud applications on AWS with Cloud Development Kit (CDK)Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesBuild complex cloud applications with the revolutionary AWS CDKGain practical knowledge of AWS CDK to leverage the powerful toolset of AWSEmploy practical exercises & architectural design patterns for developing modern serverless applicationBook DescriptionAs cloud applications are becoming more complex, multiple tools and services have emerged to cater to the challenges of running reliable solutions. Although infrastructure as code, containers, and orchestration tools, such as Kubernetes, have proved to be efficient in solving these challenges, AWS CDK represents a paradigm shift in building easily developed, extended, and maintained applications. With AWS CDK in Practice, you'll start by setting up basic day-to-day infrastructure while understanding the new prospects that CDK offers. You'll learn how to set up pipelines for building CDK applications on the cloud that are long-lasting, agile, and maintainable. You'll also gain practical knowledge of container-based and serverless application development. Furthermore, you'll discover how to leverage AWS CDK to build cloud solutions using code instead of configuration files. Finally, you'll explore current community best practices for solving production issues when dealing with CDK applications. By the end of this book, you'll have practical knowledge of CDK, and you'll be able to leverage the power of AWS with code that is simple to write and maintain using AWS CDK.What you will learnTurn containerized web applications into fully managed solutionsExplore the benefits of building DevOps into everyday code with AWS CDKUncover the potential of AWS services with CDKCreate a serverless-focused local development environmentSelf-assemble projects with CI/CD and automated live testingBuild the complete path from development to production with AWS CDKBecome well versed in dealing with production issues through best practicesWho this book is forThis book is for traditional full stack developers looking to explore the new world of Infrastructure as Code and serverless applications, solutions architects seeking to define their services with AWS CDK, and DevOps specialists searching for a better management technique to configure files. Readers should not be new to coding and must have experience in web development in languages such as Python, JS, Typescript, Java, etc. along with a basic understanding of how web applications are developed.Table of ContentsGetting Started with IaC and AWS CDKA Starter Project and Core ConceptsBuilding a Full Stack Application with CDKComplete Web Service Deployment with AWS CDKContinuous Delivery with CDK-Powered AppsTesting and Troubleshooting AWS CDK ApplicationsServerless Application Development with AWS CDKStreamlined Serverless DevelopmentIndestructible Serverless Application Architecture (ISAA)The Current CDK Landscape and Outlook
Learn to build faster web applications by implementing maintainable and pluggable APIs with FastifyPurchase of the print or Kindle book includes a free PDF eBookKey Features:Written by Fastify's core contributors to help you adopt the Fastify mindset for API developmentGain an architectural overview of Fastify's microservices development capabilities and featuresBuild complete apps in Fastify, from application design to productionBook Description:This book is a complete guide to server-side app development in Fastify, written by the core contributors of this highly performant plugin-based web framework. Throughout the book, you'll discover how it fosters code reuse, thereby improving your time to market.Starting with an introduction to Fastify's fundamental concepts, this guide will lead you through the development of a real-world project while providing in-depth explanations of advanced topics to prepare you to build highly maintainable and scalable backend applications. The book offers comprehensive guidance on how to design, develop, and deploy RESTful applications, including detailed instructions for building reusable components that can be leveraged across multiple projects. The book presents guidelines for creating efficient, reliable, and easy-to-maintain real-world applications. It also offers practical advice on best practices, design patterns, and how to avoid common pitfalls encountered by developers while building backend applications.By following these guidelines and recommendations, you'll be able to confidently design, implement, deploy, and maintain an application written in Fastify, and develop plugins and APIs to contribute to the Fastify and open source communities.What You Will Learn:Explore the encapsulation techniques implemented by FastifyUnderstand how to deploy, monitor, and handle errors in a running Fastify instanceOrganize the project structure and implement a microservices architectureExplore Fastify's core features such as code reuse, runtime speed, and much moreDiscover best practices for implementing Fastify in real-world RESTful appsUnderstand advanced backend development concepts such as performance monitoring and loggingWho this book is for:This book is for mid to expert-level backend web developers who have already used other backend web frameworks and are familiar with HTTP protocol and its peculiarities. Developers looking to migrate to Fastify, evaluate its suitability for their next project, avoid architecture pitfalls, and build highly responsive and maintainable API servers will also find this book useful. The book assumes knowledge of JavaScript programming, Node.js, and backend development.
Explore industrial automation and control-related concepts like the wiring and programming of VFDs and PLCs, as well as smart factory (Industry 4.0) with this easy-to-follow guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn the ins and outs of industrial automation and control by taking a pragmatic approachGain practical insights into automating a manufacturing process using PLCsDiscover how to monitor and control an industrial process using HMIs and SCADABook DescriptionIndustrial automation has become a popular solution for various industries looking to reduce manual labor inputs and costs by automating processes. This book helps you discover the abilities necessary for excelling in this field.The book starts with the basics of industrial automation before progressing to the application of switches, sensors, actuators, and motors, and a direct on-line (DOL) starter and its components, such as circuit breakers, contactors, and overload relay. Next, you'll explore VFDs, their parameter settings, and how they can be wired and programmed for induction motor control. As you advance, you'll learn the wiring and programming of major industrial automation tools - PLCs, HMIs, and SCADA. You'll also get to grips with process control and measurements (temperature, pressure, level, and flow), along with analog signal processing with hands-on experience in connecting a 4-20 mA transmitter to a PLC. The concluding chapters will help you grasp various industrial network protocols such as FOUNDATION Fieldbus, Modbus, PROFIBUS, PROFINET, and HART, as well as emerging trends in manufacturing (Industry 4.0) and its empowering technologies (such as IoT, AI, and robotics).By the end of this book, you'll have gained a practical understanding of industrial automation concepts for machine automation and control.What you will learnGet to grips with the essentials of industrial automation and controlFind out how to use industry-based sensors and actuatorsKnow about the AC, DC, servo, and stepper motorsGet a solid understanding of VFDs, PLCs, HMIs, and SCADA and their applicationsExplore hands-on process control systems including analog signal processing with PLCsGet familiarized with industrial network and communication protocols, wired and wireless networks, and 5GExplore current trends in manufacturing such as smart factory, IoT, AI, and roboticsWho this book is forThis book is for both graduates and undergraduates of electrical, electronics, mechanical, mechatronics, chemical or computer engineering, engineers making a career switch, or anyone looking to pursue their career in the field of industrial automation. The book covers topics ranging from basic to advanced levels, and is a valuable reference for beginner-level electrical, IIoT, automation, process, instrumentation and control, production, and maintenance engineers working in manufacturing and oil and gas industries, among others.Table of ContentsIntroduction to Industrial AutomationSwitches and Sensors - Working Principles, Applications, and WiringActuators and Their Applications in Industrial AutomationOverview of AC and DC MotorsIntroduction to Variable Frequency Drive (VFD)Drawing Schematic/Wiring Diagrams Using CAD SoftwareUnderstanding PLC Hardware and WiringUnderstanding PLC Software and Programming with TIA PortalDeep Dive into PLC Programming with TIA PortalUnderstanding Human Machine Interfaces (HMIs)(N.B. Please use the Look Inside option to see further chapters)
The complete guide for system administrators to install, manage, secure, and squeeze return on investment from their Windows Server 2022 infrastructurePurchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesDesign and implement Microsoft Server 2022 in an enterprise environment and use Windows Server to create secure and efficient networksConcentrated learning on Windows core infrastructure technologiesDiscover how to harden and secure your Windows Server infrastructureBook DescriptionWritten by a 10-time Microsoft MVP award winner with over 20 years of IT experience, Mastering Windows Server 2022 is a hands-on guide to administer any Windows Server environment. Whether new to the server world or working to keep your existing skills sharp, this book aims to be referenced on a regular basis instead of gathering dust on your shelf.Updated with Server 2022 content, this book covers a wide variety of information pertaining to your role as a server administrator. We will expand upon versions and licensing models for this OS, and explore the 'single pane of glass' administration methodology by utilizing tools like Server Manager, PowerShell, and even Windows Admin Center. This book is primarily focused on Windows Server 2022 LTSC version, but follow along as we discuss the latest news for SAC server releases as this impacts Containers, Nano Server, and general OS release cadence.This book covers a range of remote access technologies, and even teaches management of PKI and certificates. You will be empowered to virtualize your datacenter with Hyper-V, and deploy your own Remote Desktop Services "farm". Learn about Server Core, built-in redundancy, and explore troubleshooting skills. All this on top of chapters about core infrastructure technologies such as Active Directory, DNS, DHCP, and Group Policy.What you will learnBuild a Windows Server from the ground up and implement your own PKIManage your servers with Server Manager, PowerShell, and Windows Admin CenterSecure your network and data with modern technologies in Windows Server 2022Understand containers and where Nano Server fits into the equationDiscover new ways to integrate your datacenter with Microsoft AzureVirtualize your datacenter with Hyper-VRound out your understanding of Active Directory, DNS, DHCP, and Group PolicyDeploy Remote Desktop Services in your environmentWho this book is forAnyone interested in Windows Server administration will benefit from this book. If you are proficient in Microsoft infrastructure technologies and have worked with prior versions of Windows Server, then there are some focused topics on the aspects that are brand new and only available in Server 2022. On the other hand, if you are currently in a desktop support role looking to advance, or fresh into the IT workforce, care was taken in the pages of this book to ensure that you will receive a rounded understanding of Windows Server core capabilities that translate into any environmentTable of ContentsGetting Started with Windows Server 2022Installing and Managing Windows Server 2022Active DirectoryDNS and DHCPGroup PolicyCertificatesNetworking with Windows Server 2022Remote AccessHardening and SecurityServer CorePowerShellRedundancy in Windows Server 2022ContainersHyper-VRemote Desktop ServicesTroubleshooting
Unlock your potential with this ultimate guide to Google Cloud - packed with expert tips, coding techniques, legacy migration, and application extension strategiesPurchase of the print or Kindle book includes a free PDF eBookKey Features:Maximize your code potential using Google Cloud servicesMigrate legacy code to the cloud seamlessly and create code that runs anywhereUse hands-on examples to learn and showcase your experience with Google CloudBook Description:As more organizations embrace cloud computing, developers new to the cloud often feel overwhelmed by cloud migration and code running directly on the cloud. Google Cloud for Developers comes packed with practical tips and expert advice to accelerate your application development journey and help you unlock the full potential of cloud computing.You'll begin by understanding and comparing all the available options to run your code. You'll write, deploy, monitor, and troubleshoot your code without leaving the Google Cloud IDE while selecting the best option - serverless or GKE containers - for each use case. After that, you'll get to grips with the basic Google Cloud infrastructure services and connect your code with public APIs. This will help you add features to your application, such as language translation and object detection in images or videos. Furthermore, you'll explore a comprehensive list of tips and best practices to make your migration smooth. You'll also gain the necessary knowledge to write code from scratch, by employing the basics of hybrid cloud applications and build services that can run virtually anywhere.By the end of this book, you'll be well equipped to carry out the application development process and successfully move your code to Google Cloud.What You Will Learn:Understand how to write, run, and troubleshoot code on Google CloudChoose between serverless or GKE containers for running your codeConnect your code to Google Cloud services using public APIsMigrate your code to Google Cloud flawlesslyBuild hybrid cloud solutions that can run virtually anywhereGet to grips with Cloud Functions, App Engine, GKE, and AnthosWho this book is for:Google Cloud for Developers is for cloud architects, engineers, or developers willing to migrate their applications and services to Google Cloud or build them from scratch. Entrepreneurs in early-stage start-ups and IT professionals who want to know more about Google Cloud from a developer perspective will also benefit from this book. A basic understanding of Cloud concepts and basic experience in writing Python and Shell scripts is a must.
Align your SOC with the ATT&CK framework and follow practical examples for successful implementationPurchase of the print or Kindle book includes a free PDF eBookKey Features:Understand Cloud, Windows, and Network ATT&CK Framework using different techniquesAssess the attack potential and implement frameworks aligned with Mitre ATT&CKAddress security gaps to detect and respond to all security threatsBook Description:The Mitre ATT&CK framework is an extraordinary resource for all SOC environments, however, determining the appropriate implementation techniques for different use cases can be a daunting task. This book will help you gain an understanding of the current state of your SOC, identify areas for improvement, and then fill the security gaps with appropriate parts of the ATT&CK framework. You'll learn new techniques to tackle modern security threats and gain tools and knowledge to advance in your career.In this book, you'll first learn to identify the strengths and weaknesses of your SOC environment, and how ATT&CK can help you improve it. Next, you'll explore how to implement the framework and use it to fill any security gaps you've identified, expediting the process without the need for any external or extra resources. Finally, you'll get a glimpse into the world of active SOC managers and practitioners using the ATT&CK framework, unlocking their expertise, cautionary tales, best practices, and ways to continuously improve.By the end of this book, you'll be ready to assess your SOC environment, implement the ATT&CK framework, and advance in your security career.What You Will Learn:Get a deeper understanding of the Mitre ATT&CK FrameworkAvoid common implementation mistakes and provide maximum valueCreate efficient detections to align with the frameworkImplement continuous improvements on detections and review ATT&CK mappingDiscover how to optimize SOC environments with automationReview different threat models and their use casesWho this book is for:This book is for SOC managers, security analysts, CISOs, security engineers, or security consultants looking to improve their organization's security posture. Basic knowledge of Mitre ATT&CK, as well as a deep understanding of triage and detections is a must.
Jetzt zum Newsletter anmelden und tolle Angebote und Anregungen für Ihre nächste Lektüre erhalten.
Mit Ihrer Newsletter-Anmeldung erklären Sie sich mit unseren Datenschutzbestimmungen einverstanden.
