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Mastering PostgreSQL 15: Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications, 5th Edition
by Hans-Jurgen SchonigMaster the capabilities of PostgreSQL 15 to efficiently administer and maintain your database.Purchase of the print or Kindle book includes a free PDF eBook.Key FeaturesUsing real world examples, get to grips with expert PostgreSQL 15 conceptsExplore performance improvement, database replication, data replication, database administration, and moreExtend PostgreSQL's functionalities to suit your organization's needs with minimal effortBook DescriptionStarting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system.You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you'll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases.By the end of this PostgreSQL book, you'll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.What you will learnMake use of the indexing features in PostgreSQL and fine-tune the performance of your queriesWork with stored procedures and manage backup and recoveryGet the hang of replication and failover techniquesImprove the security of your database server and handle encryption effectivelyTroubleshoot your PostgreSQL instance for solutions to common and not-so-common problemsPerform database migration from Oracle to PostgreSQL with easeWho this book is forThis database administration book is for PostgreSQL developers, database administrators, and professionals who want to implement advanced functionalities and master complex administrative tasks with PostgreSQL 15. Prior experience in PostgreSQL and familiarity with the basics of database administration will assist with understanding key concepts covered in the book.
Mastering PostgreSQL 9.6
by Hans-Jurgen SchonigMaster the capabilities of PostgreSQL 9.6 to efficiently manage and maintain your database About This Book • Your one-stop guide to mastering the advanced concepts in PostgreSQL with ease • Master query optimization, replication, and high availability with PostgreSQL • Extend the functionalities of PostgreSQL to suit your organizational needs with minimum effort Who This Book Is For If you are a PostgreSQL data architect or an administrator who wants to understand how to implement advanced functionalities and master complex administrative tasks with PostgreSQL, then this book is perfect for you. Prior experience of administrating a PostgreSQL database and a working knowledge of SQL is required to make the best use of this book. What You Will Learn • Get to grips with the advanced features of PostgreSQL 9.6 and handle advanced SQL • Make use of the indexing features in PostgreSQL and fine-tune the performance of your queries • Work with the stored procedures and manage backup and recovery • Master the replication and failover techniques • Troubleshoot your PostgreSQL instance for solutions to the common and not-so-common problems • Learn how to migrate your database from MySQL and Oracle to PostgreSQL without any hassle In Detail PostgreSQL is an open source database used for handling large datasets (Big Data) and as a JSON document database. It also has applications in the software and web domains. This book will enable you to build better PostgreSQL applications and administer databases more efficiently. We begin by explaining the advanced database design concepts in PostgreSQL 9.6, along with indexing and query optimization. You will also see how to work with event triggers and perform concurrent transactions and table partitioning, along with exploring SQL and server tuning. We will walk you through implementing advanced administrative tasks such as server maintenance and monitoring, replication, recovery and high availability, and much more. You will understand the common and not-so-common troubleshooting problems and how you can overcome them. By the end of this book, you will have an expert-level command of the advanced database functionalities and will be able to implement advanced administrative tasks with PostgreSQL. Style and Approach This book is a comprehensive guide covering all the concepts you need to master PostgreSQL. Packed with hands-on examples, tips and tricks, even the most advanced concepts are explained in a very easy-to-follow manner. Every chapter in the book does not only focus on how each task is performed, but also why.
Mastering PowerCLI
by Sajal DebnathMaster PowerCLI to automate all aspects of VMware environments About This Book * Leverage PowerCLI to perform administration tasks in a more effective and efficient way * Escape from daily tedious and repetitive tasks by unleashing the full potential of your creative side through scripting * Master the intricate workings of PowerShell and PowerCLI through easy and real-life examples Who This Book Is For If you are a system administrator with working knowledge of PowerShell and PowerCLI who wants to perform quick and easy scripting but at the same time achieve complex results and write production grade scripts, then this book is for you. What You Will Learn * Use GitHub for collaboration and Pester to automate unit tests * Write advanced reusable functions and dynamic variables and learn about error handling in PowerShell * Automate ESXi host installation using Auto-Deploy, host profile, and host image * Implement security best practices in a vSphere data center * Manage SRM, vCloud Air, and vRealize Operations environments * Access and utilize vSphere APIs to manage advanced aspects of vSphere and work with .NET view objects * Utilize REST APIs to manage vRealize Automation environments * Create a Windows GUI through the use of PowerShell and Sapien PrimalForms CE In Detail Have you ever wished that every morning you could automatically get a report with all the relevant information about your datacenter in exactly the same format you want? Or whether you could automate that boring, exhausting task? What if some crucial task needs to be performed on a regular basis without any error? PowerCLI scripts do all that and much more for VMware environments. It is built on top of the popular Windows PowerShell, with which you can automate server tasks and reduce manual input, allowing you to focus on more important tasks. This book will help you to achieve your goals by starting with a short refresher on PowerShell and PowerCLI and then covering the nuances of advanced functions and reusable scripts. Next you will learn how to build a vSphere-powered virtualized datacenter using PowerCLI while managing different aspects of the environment including automated installation, network, and storage. You will then manage different logical constructs of vSphere environment and different aspects of a virtual machine. Later, you will implement the best practices for a security implementation in vSphere Environment through PowerCLI before discovering how to manage other VMware environments such as SRM, vCloud Director and vCloud Air through PowerCLI. You will also learn to manage vSphere environments using advanced properties by accessing vSphere API and REST APIs through PowerCLI. Finally, you will build a Windows GUI application using PowerShell followed by a couple of sample scripts for reporting and managing vSphere environments with detailed explanations of the scripts. By the end of the book, you will have the required in-depth knowledge to master the art of PowerCLI scripting. Style and approach In this book, every topic is explained in a very easy-to-follow fashion with real-life, simple examples so that you get an idea of not only the topic but also the context in which it should be used or where it can be best utilized.
Mastering PowerShell Scripting: Automate and manage your environment using PowerShell 7.1
by Chris DentThis complete guide takes you on a tour of PowerShell from the basics to its advanced functionality, helping you automate your tedious and time-consuming system admin tasksKey FeaturesAutomate complex tasks, manipulate data, and secure your environmentWork with dual code for PowerShell 7 and Windows PowerShell to maintain compatibility with older versionsSee PowerShell in action, from learning the fundamentals to creating classes, scripts, and modulesBook DescriptionPowerShell scripts offer a convenient way to automate various tasks, but working with them can be daunting. Mastering PowerShell Scripting takes away the fear and helps you navigate through PowerShell's capabilities.This extensively revised edition includes new chapters on debugging and troubleshooting and creating GUIs (online chapter). Learn the new features of PowerShell 7.1 by working with parameters, objects, and .NET classes from within PowerShell 7.1. This comprehensive guide starts with the basics before moving on to advanced topics, including asynchronous processing, desired state configuration, using more complex scripts and filters, debugging issues, and error-handling techniques. Explore how to efficiently manage substantial amounts of data and interact with other services using PowerShell 7.1. This book will help you to make the most of PowerShell's automation features, using different methods to parse data, manipulate regular expressions, and work with Windows Management Instrumentation (WMI).What you will learnOptimize code with functions, switches, and looping structuresTest and debug your scripts as well as raising and catching errorsWork with objects and operators to test and manipulate dataParse and manipulate different data typesUse jobs, runspaces, and runspace pools to run code asynchronouslyWrite .NET classes with ease within PowerShellCreate and implement regular expressions in PowerShell scriptsMake use of advanced techniques to define and restrict the behavior of parametersWho this book is forThis book is for system administrators who want to automate and speed up their processes using PowerShell and Windows PowerShell. You’ll need to know the basics of operating systems, but beginners with no prior experience with PowerShell will have no trouble following along.
Mastering PowerShell Scripting: Automate and manage your environment using PowerShell 7.1, 4th Edition
by Chris DentGrasp advanced PowerShell 7.1 functionalities for effective automation of your environmentKey FeaturesSee PowerShell in action, from learning the fundamentals to creating classes, scripts, and modulesWork with dual code for PowerShell 7 and Windows PowerShellAutomate complex tasks, manipulate data, and secure your environmentBook DescriptionPowerShell scripts offer a convenient way to automate various tasks. This comprehensive guide starts with the basics before moving on to advanced topics to help you become a PowerShell 7.1 expert. This extensively revised edition includes two new chapters on debugging and troubleshooting and creating GUIs. Learn the new features of PowerShell 7.1 by working with parameters, objects, and .NET classes from within PowerShell 7.1. As you work through the chapters, you'll see how to efficiently manage substantial amounts of data and interact with other services using PowerShell 7.1. Make the most of PowerShell's automation features, using different methods to parse data, manipulate regular expressions, and work with Windows Management Instrumentation (WMI). Advanced topics include asynchronous processing, desired state configuration, using more complex scripts and filters, debugging issues, and error-handling techniques. By the end of this PowerShell book, you will be an expert in scripting with PowerShell 7.1.What you will learnOptimize code with functions, switches, and looping structuresWork with objects and operators to test and manipulate dataParse and manipulate different data typesCreate scripts and functions using PowerShellUse jobs, runspaces, and runspace pools to run code asynchronouslyWrite .NET classes with ease within PowerShellCreate and implement regular expressions in PowerShell scriptsMake use of advanced techniques to define and restrict the behavior of parametersWho this book is forThis book is aimed at beginners who want to understand the basics as well as experienced system administrators looking to extend their knowledge.Prior knowledge of PowerShell is beneficial but not essential to get the most value from this book. Some familiarity with operating systems would be useful, but not essential.
Mastering PowerShell Scripting: Automate repetitive tasks and simplify complex administrative tasks using PowerShell
by Chris DentUse PowerShell to save time and reduce the potential for human error by writing scripts that automate the execution of tasks Purchase of the print or Kindle book includes a free PDF eBook.Key FeaturesPractical guide to using PowerShell as a programming language for automation and scriptingInsights into leveraging PowerShell’s built-in features for efficient day-to-day automationStrategies for automating complex tasks, managing data, and strengthening environment securityBook DescriptionMastering PowerShell Scripting, Fifth Edition, is your comprehensive guide to harnessing PowerShell’s full potential. This edition introduces new chapters on debugging, troubleshooting, and creating GUIs while covering the latest enhancements in PowerShell 7.3, including parameters, objects, and .NET classes. The book takes you from foundational concepts to advanced techniques, covering asynchronous processing, desired state configuration, and managing large datasets. You'll explore PowerShell’s automation features, error-handling strategies, and integration with external services. Additionally, this guide provides practical insights into working with regular expressions, Windows Management Instrumentation, and complex scripting methods. By the end of this book, you’ll have the skills to efficiently automate tasks, troubleshoot scripts, and leverage PowerShell’s advanced capabilities for real-world scenarios.What you will learnCreate scripts that run across systems for automationExtend PowerShell by integrating it with other languagesUse PowerShell's command-line interface for efficient operationsDevelop reusable scripts and functions to streamline tasksApply PowerShell for administration, automation, and data processingIntegrate with .NET, COM, and WMI for advanced functionalityWork with XML, JSON, and CSV for structured data handlingBuild custom modules and cmdlets to enhance scriptingWho this book is forThis book is for system administrators who want to automate and speed up their processes using PowerShell and Windows PowerShell. You'll need to know the basics of operating systems, but beginners with no prior experience with PowerShell will have no trouble following along.
Mastering Predictive Analytics with Python
by Joseph BabcockExploit the power of data in your business by building advanced predictive modeling applications with Python About This Book * Master open source Python tools to build sophisticated predictive models * Learn to identify the right machine learning algorithm for your problem with this forward-thinking guide * Grasp the major methods of predictive modeling and move beyond the basics to a deeper level of understanding Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. You're expected to have basic development experience with Python. What You Will Learn * Gain an insight into components and design decisions for an analytical application * Master the use Python notebooks for exploratory data analysis and rapid prototyping * Get to grips with applying regression, classification, clustering, and deep learning algorithms * Discover the advanced methods to analyze structured and unstructured data * Find out how to deploy a machine learning model in a production environment * Visualize the performance of models and the insights they produce * Scale your solutions as your data grows using Python * Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis In Detail The volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations. In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life Style and approach This book emphasizes on explaining methods through example data and code, showing you templates that you can quickly adapt to your own use cases. It focuses on both a practical application of sophisticated algorithms and the intuitive understanding necessary to apply the correct method to the problem at hand. Through visual examples, it also demonstrates how to convey insights through insightful charts and reporting.
Mastering Predictive Analytics with R
by Rui Miguel ForteThis book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions, and how to move data around. No prior experience with machine learning or predictive modeling is assumed, however you should have a basic understanding of statistics and calculus at a high school level.
Mastering Predictive Analytics with R
by Rui Miguel Forte<P><P>Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts <P><P>About This Book <P><P>Grasp the major methods of predictive modeling and move beyond black box thinking to a deeper level of understanding <P><P>Leverage the flexibility and modularity of R to experiment with a range of different techniques and data types <P><P>Packed with practical advice and tips explaining important concepts and best practices to help you understand quickly and easily <P><P>Who This Book Is For <P><P>This book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions, and how to move data around. No prior experience with machine learning or predictive modeling is assumed, however you should have a basic understanding of statistics and calculus at a high school level. <P><P>What You Will Learn <P><P>Master the steps involved in the predictive modeling process <P><P>Learn how to classify predictive models and distinguish which models are suitable for a particular problem <P><P>Understand how and why each predictive model works <P><P>Recognize the assumptions, strengths, and weaknesses of a predictive model, and that there is no best model for every problem <P><P>Select appropriate metrics to assess the performance of different types of predictive model <P><P>Diagnose performance and accuracy problems when they arise and learn how to deal with them <P><P>Grow your expertise in using R and its diverse range of packages <P><P>In Detail <P><P>R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. <P><P>This book is designed to be both a guide and a reference for moving beyond the basics of predictive modeling. The book begins with a dedicated chapter on the language of models and the predictive modeling process. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real world data sets. <P><P>By the end of this book, you will have explored and tested the most popular modeling techniques in use on real world data sets and mastered a diverse range of techniques in predictive analytics.
Mastering Predictive Analytics with R - Second Edition
by James D. Miller Rui Miguel ForteMaster the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts About This Book • Grasping the major methods of predictive modeling and moving beyond black box thinking to a deeper level of understanding • Leveraging the flexibility and modularity of R to experiment with a range of different techniques and data types • Packed with practical advice and tips explaining important concepts and best practices to help you understand quickly and easily Who This Book Is For Although budding data scientists, predictive modelers, or quantitative analysts with only basic exposure to R and statistics will find this book to be useful, the experienced data scientist professional wishing to attain master level status , will also find this book extremely valuable.. This book assumes familiarity with the fundamentals of R, such as the main data types, simple functions, and how to move data around. Although no prior experience with machine learning or predictive modeling is required, there are some advanced topics provided that will require more than novice exposure. What You Will Learn • Master the steps involved in the predictive modeling process • Grow your expertise in using R and its diverse range of packages • Learn how to classify predictive models and distinguish which models are suitable for a particular problem • Understand steps for tidying data and improving the performing metrics • Recognize the assumptions, strengths, and weaknesses of a predictive model • Understand how and why each predictive model works in R • Select appropriate metrics to assess the performance of different types of predictive model • Explore word embedding and recurrent neural networks in R • Train models in R that can work on very large datasets In Detail R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. The book begins with a dedicated chapter on the language of models and the predictive modeling process. You will understand the learning curve and the process of tidying data. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real-world datasets. How do you train models that can handle really large datasets? This book will also show you just that. Finally, you will tackle the really important topic of deep learning by implementing applications on word embedding and recurrent neural networks. By the end of this book, you will have explored and tested the most popular modeling techniques in use on real- world datasets and mastered a diverse range of techniques in predictive analytics using R. Style and approach This book takes a step-by-step approach in explaining the intermediate to advanced concepts in predictive analytics. Every concept is explained in depth, supplemented with practical examples applicable in a real-world setting.
Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python
by Alvaro FuentesLearn advanced techniques to improve the performance and quality of your predictive modelsKey FeaturesUse ensemble methods to improve the performance of predictive analytics modelsImplement feature selection, dimensionality reduction, and cross-validation techniquesDevelop neural network models and master the basics of deep learningBook DescriptionPython is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems.This book starts with ensemble methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for models. As you make your way through the book, you will cover the nitty-gritty of predictive analytics and explore its features and characteristics. You will also be introduced to artificial neural networks and TensorFlow, and how it is used to create neural networks. In the final chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics.By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis.What you will learnUse ensemble algorithms to obtain accurate predictionsApply dimensionality reduction techniques to combine features and build better modelsChoose the optimal hyperparameters using cross-validationImplement different techniques to solve current challenges in the predictive analytics domainUnderstand various elements of deep neural network (DNN) modelsImplement neural networks to solve both classification and regression problemsWho this book is forMastering Predictive Analytics with scikit-learn and TensorFlow is for data analysts, software engineers, and machine learning developers who are interested in implementing advanced predictive analytics using Python. Business intelligence experts will also find this book indispensable as it will teach them how to progress from basic predictive models to building advanced models and producing more accurate predictions. Prior knowledge of Python and familiarity with predictive analytics concepts are assumed.
Mastering Prezi for Business Presentations
by Russell Anderson-WilliamsAccompanied by plenty of tips and tricks, this tutorial style book has ample examples and screenshots to ease your learning curve. If you use Prezi in business and want to take your presentations to the next level, or if you want to become the office Prezi guru, this book is for you.
Mastering Probabilistic Graphical Models Using Python
by Ankur Ankan Abinash PandaIf you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.
Mastering Project Discovery: Successful Discipline in Engineering and Analytics Projects
by Elliot Bendoly Daniel Bachrach Kathy Koontz Porter SchermerhornIntroducing a comprehensive approach to invigorate project leadership, this book provides a framework – the OUtCoMES Cycle – for developing, managing, advancing, and optimizing engineering and analytics projects.All too often, issues of moral hazard and completion bias prevent engineering and analytics managers and team leaders from asking the critical question 'What’s the problem?', before committing time, energy, and resources to solve it. This book draws attention to the definition, structuring, option consideration and ultimately the addressing of the right problems, exploring the OUtCoMES Cycle framework that facilitates and energizes systematic thinking, knowledge sharing, and on-the-fly adjustment with an explicit focus on the maximization of value and ROI. Each chapter includes discussions and lessons in analytical and engineering problem identification, problem structuring, iterative problem development (mental and computational) and problem resolution, at least three embedded real-world case studies, and a closing 'Practitioner’s Recap' to contextualize key chapter takeaways.Written by a team of established academic scholars and practicing analysts and engineers, this is an accessible and culture-shifting action guide for instructors interested in training the next generation of project and analytics leaders, students of analytics and engineering, as well as practicing project leaders and principals.
Mastering Project Leadership: Insights from the Research
by Pedro M. SerradorThis is a collection of essays from key researchers in the field of project management who describe what they feel are the most impactful findings from research. In the challenging and competitive world of project management, project managers need all the insight they can get. Leading researchers share what they believe are the most important findings from the research being done today. These cover pressing topics confronting project managers, including hybrid methodologies, schedule overruns, schedule estimation, project efficiency, and managing local stakeholders. Highlights include the following: Jeff Pinto and Kate Davis explore the “Normalization of Deviance” (NoD) phenomenon within various organizational settings, focusing on projects. NoD involves the gradual acceptance of deviant practices, diverging from established norms, and often leading to detrimental outcomes. Francesco Di Maddaloni investigates how local communities’ stakeholders are perceived, identified, and categorized by project managers in major public infrastructure and construction projects (MPIC). His chapter helps project managers to have a better understanding of a more inclusive and holistic approach to engage with a broader range of stakeholders. Lavagnon Ika, Peter Love, and Jeff Pinto suggest that error and bias combine to exact a toll on major projects, offer theoretical insights, and outline practical recommendations for project managers. Jonas Söderlund offers managerial guidelines for leveraging deadlines as powerful tools for generating project success. Pedro M. Serrado looks at empirical studies that link planning quality to project success, emphasizing its importance. He also discusses the downsides of excessive planning, particularly in dynamic environments and research and development projects.
Mastering Proxmox
by Wasim AhmedThis is not an instructional guide, but a practical, scenario-based book which guides you through everything you need to know in a practical manner by letting you build your own cluster. By the end of the book, you will have a fully functional Proxmox cluster setup at your disposal and have the knowledge to replicate virtualization solutions .If you already know what the word "virtualization" means and you are ready to stand out from the crowd equipped with the unique ability to design and implement a rock-solid virtualized network environment using Proxmox, then you have just picked up the only book you will need. Linux system administration experience together with knowledge of networking and virtualization concepts is assumed. This book is also useful if you are already using Proxmox and simply want to master its advanced features.
Mastering Proxmox - Second Edition
by Wasim AhmedThe book targets Linux and system administrators and professionals working in IT teams who would like to design and implement a enterprise-quality virtualized environment using Proxmox.Knowledge of networking and virtualization concepts is assumed.
Mastering Puppet
by Thomas UphillIn Detail Puppet is a configuration management system written for system administrators to manage a large number of systems efficiently and help maintain order. Mastering Puppetdeals with the issues faced in larger deployments such as scaling and duplicate resource definitions. It will show you how to fit Puppet into your organization and keep everyone working. The concepts presented can be adapted to suit any size organization. This book starts with setting up and installing Puppet in your organization and then moves on to implementing version control in Puppet, creating custom modules, and extending your Puppet infrastructure. Finally, you will learn tips and tricks that are useful when troubleshooting Puppet and the best practices to make you a pro. Approach Presented in an easy-to-follow, step-by-step tutorial format and packed with examples, this book will lead you through making the best out of Puppet in an enterprise environment. Who this book is for If you are a system administrator or developer who has used Puppet in production and are looking for ways to easily use Puppet in an enterprise environment, this book is for you. This book assumes an intermediate knowledge of Puppet and is intended for those writing modules or deploying Puppet in an enterprise environment.
Mastering Puppet - Second Edition
by Thomas UphillMaster Puppet for configuration management of your systems in an enterprise deployment About This Book * This book is an advanced guide to using and deploying Puppet 4 in your organization with a special focus on issues faced in larger enterprise deployments * From an experienced author, learn to deal with scaling, performance, and multiple developers with the help of real-world examples * This is the most up-to-date guide on Puppet, and covers the advanced concepts of Puppet 4 Who This Book Is For This book is for those who have intermediate knowledge of Puppet and are looking to deploy it in their environment. Some idea how to write simple modules for configuration management with Puppet is a prerequisite for this book. What You Will Learn * Scale out your Puppet infrastructure using proxying techniques * Automate your code promotion workflow using Git and r10k * Solve real-world problems using public modules from the Puppet Forge * Use Hiera to separate the data of your configuration from the code of your configuration * Write your own custom facts in Ruby * Extend Puppet with your own custom facts, modules, and types * Use exported resources to orchestrate change between machines * Debug a puppetserver using Java techniques In Detail Puppet is a configuration management system and a language. It was written for and by system administrators to manage large numbers of systems efficiently and prevent configuration drifts. Mastering Puppet deals with the issues faced when scaling out Puppet to handle large numbers of nodes. It will show you how to fit Puppet into your enterprise and allow many developers to work on your Puppet code simultaneously. In addition, you will learn to write custom facts and roll your own modules to solve problems. Next, popular options for performing reporting and orchestration tasks will be introduced in this book. Moving over to troubleshooting techniques, which will be very useful. The concepts presented are useful to any size organization. By the end of the book, you will know how to deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously. Style and approach This book is a step-wise guide packed with examples to help you configure complex systems in Puppet.
Mastering Puppet 5: Optimize enterprise-grade environment performance with Puppet
by Ryan Russell-Yates Jason SouthgateLeverage Puppet 5 for medium to large scale enterprise deployment.Key FeaturesUse and deploy Puppet 5, irrespective the size of your organizationScaling, performance improvements, and managing multiple developer requestsTroubleshooting techniques, tips and tricks to make the most of Puppet 5Book DescriptionPuppet is a configuration management system and a language written for and by system administrators to manage a large number of systems efficiently and prevent configuration drift.The core topics this book addresses are Puppet's latest features and mastering Puppet Enterprise. You will begin by writing a new Puppet module, gaining an understanding of the guidelines and style of the Puppet community. Following on from this, you will take advantage of the roles and profiles pattern, and you will learn how to structure your code. Next, you will learn how to extend Puppet and write custom facts, functions, types, and providers in Ruby, and also use the new features of Hiera 5. You will also learn how to configure the new Code Manager component, and how to ensure code is automatically deployed to (multiple) Puppet servers. Next, you will learn how to integrate Puppet with Jenkins and Git to build an effective workflow for multiple teams, and use the new Puppet Tasks feature and the latest Puppet Orchestrator language extensions. Finally, you will learn how to scale and troubleshoot Puppet.By the end of the book, you will be able to deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously.What you will learnSolve problems using modules and the roles and profiles patternExtend Puppet with custom facts, functions, types, and providersUse Hiera 5 and Code Manager/r10k to separate code from dataContinuously integrate your code using Jenkins, Git and automated testingUse exported resources and the new Puppet Orchestration featuresExplore Puppet Discovery features and their useTroubleshoot various parts of the Puppet Enterprise infrastructureScale up and scale out Puppet infrastructure using various techniquesWho this book is forIf you are a system administrator or developer who has used Puppet in production and are looking for ways to easily use Puppet in an enterprise environment, this book is for you. Some knowledge of writing simple configuration management modules would be necessary.
Mastering PyCharm
by Quazi Nafiul IslamUse PyCharm with fluid efficiency to write idiomatic python codeAbout This BookUnderstand how PyCharm works and how you can leverage its strength to develop applications quicklyMaster PyCharm's editor to get a fast workflowFull of examples and illustrations that focus on the practical aspects of using PyCharmWho This Book Is ForIf you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python's most prominent tools such as virtualenv and Python's popular docstring formats such as reStructuredText and EpyType.What You Will LearnUnderstand the internal workings of the IntelliJ PlatformLeverage PyCharm's powerful search tools, and learn which ones are the best for you and your workflowCustomize PyCharm's enhanced Python interpreter and its inbuilt terminalDevelop web applications quickly and easily with different frameworks such as Flask and DjangoUnderstand how code completion works in PyCharm for Python and JavaScriptMake calls to external tools, and use PyCharm macros to your advantageIn DetailPyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications.From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you.You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform.You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists.You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm's toolset for web development with popular platforms.Packed with insider tricks, this book will help you boost productivity with PyCharm.Style and approachAn easy-to-follow guide with plenty of examples and screenshots. Each topic starts off with the goal of enhancing or changing a part of PyCharm to make it suit your needs.
Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features
by Ashish Ranjan Jha Dr. Gopinath PillaiMaster advanced techniques and algorithms for deep learning with PyTorch using real-world examplesKey FeaturesUnderstand how to use PyTorch 1.x to build advanced neural network modelsLearn to perform a wide range of tasks by implementing deep learning algorithms and techniquesGain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much moreBook DescriptionDeep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learnImplement text and music generating models using PyTorchBuild a deep Q-network (DQN) model in PyTorchExport universal PyTorch models using Open Neural Network Exchange (ONNX)Become well-versed with rapid prototyping using PyTorch with fast.aiPerform neural architecture search effectively using AutoMLEasily interpret machine learning (ML) models written in PyTorch using CaptumDesign ResNets, LSTMs, Transformers, and more using PyTorchFind out how to use PyTorch for distributed training using the torch.distributed APIWho this book is forThis book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
by Ashish Ranjan JhaMaster advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the print or Kindle book includes a free eBook in PDF formatKey FeaturesUnderstand how to use PyTorch to build advanced neural network modelsGet the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and DockerUnlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworksBook DescriptionPyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learnImplement text, vision, and music generation models using PyTorchBuild a deep Q-network (DQN) model in PyTorchDeploy PyTorch models on mobile devices (Android and iOS)Become well versed in rapid prototyping using PyTorch with fastaiPerform neural architecture search effectively using AutoMLEasily interpret machine learning models using CaptumDesign ResNets, LSTMs, and graph neural networks (GNNs)Create language and vision transformer models using Hugging FaceWho this book is forThis deep learning with PyTorch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is ideal for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python is required.
Mastering Python
by Rick Van HattemMaster the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers About This Book * Become familiar with the most important and advanced parts of the Python code style * Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language * Offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples Who This Book Is For Almost anyone can learn to write working script and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you. What You Will Learn * Create a virtualenv and start a new project * Understand how and when to use the functional programming paradigm * Get familiar with the different ways the decorators can be written in * Understand the power of generators and coroutines without digressing into lambda calculus * Create metaclasses and how it makes working with Python far easier * Generate HTML documentation out of documents and code using Sphinx * Learn how to track and optimize application performance, both memory and cpu * Use the multiprocessing library, not just locally but also across multiple machines * Get a basic understanding of packaging and creating your own libraries/applications In Detail Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward. This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced scripts and take on bigger challenges. Style and Approach This book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.
Mastering Python Data Analysis
by Luiz Felipe Martins Magnus Vilhelm PerssonBecome an expert at using Python for advanced statistical analysis of data using real-world examples About This Book * Clean, format, and explore data using graphical and numerical summaries * Leverage the IPython environment to efficiently analyze data with Python * Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For If you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you. Familiarity with the basics of applying Python libraries to data sets is assumed. What You Will Learn * Read, sort, and map various data into Python and Pandas * Recognise patterns so you can understand and explore data * Use statistical models to discover patterns in data * Review classical statistical inference using Python, Pandas, and SciPy * Detect similarities and differences in data with clustering * Clean your data to make it useful * Work in Jupyter Notebook to produce publication ready figures to be included in reports In Detail Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want! Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You'll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. You'll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you'll move on to review statistical inference using Python, Pandas, and SciPy. After that, we'll focus on performing regression using computational tools and you'll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you'll discover how to use Python's tools for supervised machine learning. Style and approach This book takes a step-by-step approach to reading, processing, and analyzing data in Python using various methods and tools. Rich in examples, each topic connects to real-world examples and retrieves data directly online where possible. With this book, you are given the knowledge and tools to explore any data on your own, encouraging a curiosity befitting all data scientists.