- Table View
- List View
Learning Play! Framework 2
by Andy PetrellaA strong focus is placed on explanation by example; even with the amount of amazing capabilities of Play! 2, they will be gathered in a single application. At the end of this book, the reader will have a fully-fledged application using the basic and advanced features of Play! 2. Readers must be interested in the Web in general; specifically using the HTTP between a browser and a server to create blazing projects! Java skills are beneficial but not necessary since Play! Framework 2 is not J2EE based but introduces a simple, neat, and completely integrated version; the prerequisites are almost none.
Learning PostgreSQL
by Achim Vannahme Salahaldin Juba Andrey VolkovCreate, develop and manage relational databases in real world applications using PostgreSQL About This Book * Learn about the PostgreSQL development life cycle including its testing and refactoring * Build productive database solutions and use them in Java applications * A comprehensive guide to learn about SQL, PostgreSQL procedural language and PL/pgSQL Who This Book Is For If you are a student, database developer or an administrator, interested in developing and maintaining a PostgreSQL database, then this book is for you. No knowledge of database programming or administration is necessary. Readers should, however, know SQL. What You Will Learn * Learn concepts of data modelling and relation algebra * Install and set up PostgreSQL database server and client software * Implement data structures in PostgreSQL * Manipulate data in the database using SQL * Implement data processing logic in the database with stored functions, triggers and views * Test database solutions and assess the performance * Integrate database with Java applications * Detailed knowledge of the main PostgreSQL building objects, most used extensions * Practice database development life cycle including analysis, modelling, (documentation), testing, bug fixes and refactoring In Detail PostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. Also it provides NoSQL capabilities, and very rich data types and extensions. All that makes PostgreSQL a very attractive solution in various kinds of software systems. The book starts with the introduction of relational databases with PostegreSQL. It then moves on to covering data definition language (DDL) with emphasis on PostgreSQL and common DDL commands supported by ANSI SQL. You will then learn the data manipulation language (DML), and advanced topics like locking and multi version concurrency control (MVCC). This will give you a very robust background to tune and troubleshoot your application. The book then covers the implementation of data models in the database such as creating tables, setting up integrity constraints, building indexes, defining views and other schema objects. Next, it will give you an overview about the NoSQL capabilities of PostgreSQL along with Hstore, XML, Json and arrays. Finally by the end of the book, you'll learn to use the JDBC driver and manipulate data objects in the Hibernate framework. Style and approach An easy-to-follow guide to learn programming build applications with PostgreSQL, and manage a PostgreSQL database instance.
Learning PostgreSQL 10 - Second Edition: A beginner's guide to building high-performance PostgreSQL database solutions
by Salahaldin Juba Andrey VolkovLeverage the power of PostgreSQL 10 to build powerful database and data warehousing applications. About This Book • Be introduced to the concept of relational databases and PostgreSQL, one of the fastest growing open source databases in the world • Learn client-side and server-side programming in PostgreSQL, and how to administer PostgreSQL databases • Discover tips on implementing efficient database solutions with PostgreSQL 10 Who This Book Is For If you're interested in learning more about PostgreSQL - one of the most popular relational databases in the world, then this book is for you. Those looking to build solid database or data warehousing applications with PostgreSQL 10 will also find this book a useful resource. No prior knowledge of database programming or administration is required to get started with this book. What You Will Learn • Understand the fundamentals of relational databases, relational algebra, and data modeling • Install a PostgreSQL cluster, create a database, and implement your data model • Create tables and views, define indexes, and implement triggers, stored procedures, and other schema objects • Use the Structured Query Language (SQL) to manipulate data in the database • Implement business logic on the server side with triggers and stored procedures using PL/pgSQL • Make use of advanced data types supported by PostgreSQL 10: Arrays, hstore, JSONB, and others • Develop OLAP database solutions using the most recent features of PostgreSQL 10 • Connect your Python applications to a PostgreSQL database and work with the data efficiently • Test your database code, find bottlenecks, improve performance, and enhance the reliability of the database applications In Detail PostgreSQL is one of the most popular open source databases in the world, and supports the most advanced features included in SQL standards and beyond. This book will familiarize you with the latest new features released in PostgreSQL 10, and get you up and running with building efficient PostgreSQL database solutions from scratch. We'll start with the concepts of relational databases and their core principles. Then you'll get a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We'll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You'll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, you'll get to know the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. This will give you a very robust background to develop, tune, test, and troubleshoot your database application. We'll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects. By the end of this book, you'll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions. Style and approach This book is a comprehensive beginner level tutorial on PostgreSQL and introduces the features of the newest version 10, along with explanation of concepts in a very easy to understand manner. Practical tips and examples are provided at every step to ensure you are able to grasp each topic as quickly as possible.
Learning PostgreSQL 10, Second Edtion
by Salahaldin Juba<P><P>Leverage the power of PostgreSQL 10 to build powerful database and data warehousing applications <P><P>Key Features <P><P>Be introduced to the concept of relational databases and PostgreSQL <P><P>Learn client-side and server-side programming in PostgreSQL and administer PostgreSQL databases <P><P>Discover tips on implementing efficient database solutions with PostgreSQL 10 <P><P>Book Description <P><P>PostgreSQL is one of the most popular open source databases in the world and supports the most advanced features included in SQL standards and beyond. This book will familiarize you with the latest new features released in PostgreSQL 10, and get you up and running with building efficient PostgreSQL database solutions from scratch. <P><P>We'll start with the concepts of relational databases and their core principles. Then, you'll get a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We'll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You'll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. <P><P>Moving on, you'll get to know the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. This will give you a very robust background to develop, tune, test, and troubleshoot your database application. We'll also explore NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects. <P><P>By the end of this book, you'll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient <P><P>What you will learn <P><P>Understand the fundamentals of relational databases, relational algebra, and data modeling <P><P>Install a PostgreSQL cluster, create a database, and implement your data model <P><P>Create tables and views, define indexes, and implement triggers, stored procedures, and other schema objects <P><P>Use the Structured Query Language (SQL) to manipulate data in the database <P><P>Implement business logic on the server side with triggers and stored procedures using PL/pgSQL <P><P>Make use of advanced data types supported by PostgreSQL 10: Arrays, hstore, JSONB, and others <P><P>Develop OLAP database solutions using the most recent features of PostgreSQL 10 <P><P>Connect your Python applications to a PostgreSQL database and work with the data efficiently <P><P>Test your database code, find bottlenecks, improve performance, and enhance the reliability of the database applications
Learning PostgreSQL 11: A beginner's guide to building high-performance PostgreSQL database solutions, 3rd Edition
by Salahaldin Juba Andrey VolkovLeverage the power of PostgreSQL 11 to build powerful database and data warehousing applications Key Features Monitor, secure, and fine-tune your PostgreSQL 11 database Learn client-side and server-side programming using SQL and PL/pgSQL Discover tips on implementing efficient database solutions Book Description PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You'll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You'll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you'll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You'll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you'll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions. What you will learn Understand the basics of relational databases, relational algebra, and data modeling Install a PostgreSQL server, create a database, and implement your data model Create tables and views, define indexes and stored procedures, and implement triggers Make use of advanced data types such as Arrays, hstore, and JSONB Connect your Python applications to PostgreSQL and work with data efficiently Identify bottlenecks to enhance reliability and performance of database applications Who this book is for This book is for you if you're interested in learning about PostgreSQL from scratch. Those looking to build solid database or data warehousing applications or wanting to get up to speed with the latest features of PostgreSQL 11 will also find this book useful. No prior knowledge of database programming or administration is required to get started.
Learning PowerCLI
by Robert Van Nieuwendijk"Learning PowerCLI" is written in a friendly and practical style with a focus on getting you started and automating daily tasks quickly and efficiently. If you manage or administrate a vSphere environment, and want to make that easier and more efficient, then this book is for you! This book is ideal for you if you want to learn how to automate your VMware vSphere infrastructure, by getting the most out of PowerCLI. It's assumed that you have some experience in administrating a VMware vSphere environment. Knowledge of Microsoft's Windows PowerShell is not a prerequisite.
Learning PowerCLI - Second Edition
by Robert Van NieuwendijkLearn to leverage the power of PowerCLI to automate your VMware vSphere environment with ease About This Book • This is first book on the market that will enlighten you on the latest version of PowerCLI and how to implement it • Effectively manage virtual machines, networks, and reports with the latest features of PowerCLI • A comprehensive and practical book on automating VMware vSphere Who This Book Is For This book is ideal for you if you want to learn how to automate your VMware vSphere or vCloud infrastructure by getting the most out of PowerCLI. It's assumed that you have some experience in administrating a vSphere or vCloud environment. Knowledge of Microsoft's Windows PowerShell is not a prerequisite. What You Will Learn • Explore PowerShell and PowerCLI cmdlets and their output objects • See how to manage virtual machines and work with virtual networks • Manage vCloud Director from PowerCLI • Use Site Recovery Manager from PowerCLI to create a disaster recovery solution • Manage NSX and vRealize Automation using REST API with PowerCLI • Create and configure vSphere HA and DRS clusters • Use vSphere Update Manager with PowerCLI to create patch baselines and scan hosts • Explore reporting techniques to retrieve log files In Detail VMware vSphere PowerCLI, a free extension to Microsoft Windows PowerShell, enables you to automate the management of a VMware vSphere or vCloud environment. This book will show you how to automate your tasks and make your job easier. Starting with an introduction to the basics of PowerCLI, the book will teach you how to manage your vSphere and vCloud infrastructure from the command line. To help you manage a vSphere host overall, you will learn how to manage vSphere ESXi hosts, host profiles, host services, host firewall, and deploy and upgrade ESXi hosts using Image Builder and Auto Deploy. The next chapter will not only teach you how to create datastore and datastore clusters, but you'll also work with profile-driven and policy-based storage to manage your storage. To create a disaster recovery solution and retrieve information from vRealize Operations, you will learn how to use Site Recovery Manager and vRealize Operations respectively. Towards the end, you'll see how to use the REST APIs from PowerShell to manage NSX and vRealize Automation and create patch baselines, scan hosts against the baselines for missing patches, and re-mediate hosts. By the end of the book, you will be capable of using the best tool to automate the management and configuration of VMware vSphere. Style and approach This comprehensive book will teach system administrators everything about PowerCLI 6 and how to utilize it to automate VMware vSphere.
Learning PowerShell DSC
by James PogranGet started with the fundamentals of PowerShell DSC and utilize its power to automate deployment and configuration of your serversAbout This BookCreate flexible and maintainable deployments using DSC configuration scripts that stand the test of timeExplore the in depth details of the core architecture, concepts, and practices used by PowerShell DSCA step-by-step guide that shows you how to start using and taking advantage of PowerShell DSCWho This Book Is ForThis book is intended for system administrators, developers, or engineers who are responsible for configuration management and automation and wish to learn PowerShell Desired State Configuration for efficient management, configuration and deployment of systems and applications.What You Will LearnUnderstand configuration management and why you need itCraft flexible, reusable, and maintainable configuration scripts for thousands of serversCreate custom DSC resources to manage any application or server settingApply configuration data to deploy applications to different environmentsUtilize DSC push deployments to test your configuration scripts and custom DSC resourcesInstall, configure and use DSC pull serversRun a Windows MSI packageDeploy a websiteIn DetailWindows PowerShell is a task-based command-line shell and scripting language designed especially for system administration. PowerShell DSC is a new management platform that enables you to deploy and manage configuration data for software services and manage the environment in which these services run.This book begins with an overview of the basics of PowerShell DSC by covering the architecture and components of the Desired Sate Configuration. It will then familiarize you with the set of PowerShell language extensions and new PowerShell commands. It will help you understand and create DSC configurations with the help of practical examples, and to create DSC custom resources for your custom applications. Finally, you will learn to deploy a real world application using PowerShell DSC. By the end of the book, you will have better knowledge about the powerful Desired State Configuration platform, which helps you to achieve continuous delivery, and efficient management and easy deployment of data for systems.Style and approachThis book is an in-depth guide to using PowerShell DSC, full of real-world experiences and best practices using PowerShell DSC. The topics are explained and build on one another other to provide a holistic learning experience. At the end, all the features learned will be used to create a real world application deployment using DSC.
Learning PowerShell DSC
by James Pogran<P><P>Get started with the fundamentals of PowerShell DSC and utilize its power to automate deployment and configuration of your servers <P><P>About This Book <P><P>Create flexible and maintainable deployments using DSC configuration scripts that stand the test of time <P><P>Explore the in depth details of the core architecture, concepts, and practices used by PowerShell DSC <P><P>A step-by-step guide that shows you how to start using and taking advantage of PowerShell DSC <P><P>Who This Book Is For <P><P>This book is intended for system administrators, developers, or engineers who are responsible for configuration management and automation and wish to learn PowerShell Desired State Configuration for efficient management, configuration and deployment of systems and applications. <P><P>What You Will Learn <P><P>Understand configuration management and why you need it <P><P>Craft flexible, reusable, and maintainable configuration scripts for thousands of servers <P><P>Create custom DSC resources to manage any application or server setting <P><P>Apply configuration data to deploy applications to different environments <P><P>Utilize DSC push deployments to test your configuration scripts and custom DSC resources <P><P>Install, configure and use DSC pull servers <P><P>Run a Windows MSI package <P><P>Deploy a website <P><P>In Detail <P><P>Windows PowerShell is a task-based command-line shell and scripting language designed especially for system administration. PowerShell DSC is a new management platform that enables you to deploy and manage configuration data for software services and manage the environment in which these services run. <P><P>This book begins with an overview of the basics of PowerShell DSC by covering the architecture and components of the Desired Sate Configuration. It will then familiarize you with the set of PowerShell language extensions and new PowerShell commands. It will help you understand and create DSC configurations with the help of practical examples, and to create DSC custom resources for your custom applications. Finally, you will learn to deploy a real world application using PowerShell DSC. By the end of the book, you will have better knowledge about the powerful Desired State Configuration platform, which helps you to achieve continuous delivery, and efficient management and easy deployment of data for systems.
Learning PowerShell DSC - Second Edition
by James PogranA learning guide to get you started with PowerShell DSC. About This Book • Create flexible and maintainable deployments using DSC configuration scripts that stand the test of time. • Explore the core architecture, concepts, and practices in depth. • Learning PowerShell DSC is a step-by-step guide that shows you how to start using and taking advantage of PowerShell DSC along with configuring and deploying applications. Who This Book Is For If you are a system administrator, developer, or engineer and are responsible for configuration management and automation, then this book is for you. IT professionals who wish to learn PowerShell Desired State Configuration for the efficient management, configuration, and deployment of systems will also find this book useful. What You Will Learn • Explore PowerShell Desired State Configuration and activities around it, including the need for configuration management and abstraction. • Create reusable DSC configurations and debug/ troubleshoot configuration files. • Learn about the PowerShell DSC architecture with the help of push-and-pull management and workflows. • Define DSC configuration scripts and data files and push DSC configuration files remotely and locally. • Validate DSC Pull Server install and register target nodes with a DSC Pull Server. • Learn about DSC Cross Platform and install PowerShell on Linux and macOS along with real-life DSC uses and different types of deployment. In Detail The main goal of this book is to teach you to configure, deploy, and manage your system using the new features of PowerShell v5/v6 DSC. This book begins with the basics of PowerShell Desired State Configuration, covering its architecture and components. It familiarizes you with the set of Windows PowerShell language extensions and new Windows PowerShell commands that make up DSC. Then it helps you create DSC custom resources and work with DSC configurations with the help of practical examples. Finally, it describes how to deploy configuration data using PowerShell DSC. Throughout this book, we will be focusing on concepts such as building configurations with parameters, the local configuration manager, and testing and restoring configurations using PowerShell DSC. By the end of the book, you will be able to deploy a real-world application end-to-end and will be familiar enough with the powerful Desired State Configuration platform to achieve continuous delivery and efficiently and easily manage and deploy data for systems. Style and approach The purpose of this book is to introduce readers to the powerful PowerShell Desired State Configuration platform to achieve continuous delivery, efficient management, and the easy deployment of data for systems.
Learning PowerShell DSC: Automate deployment and configuration of your servers
by James PogranA learning guide to get you started with PowerShell DSC.Key FeaturesCreate flexible and maintainable deployments using DSC configuration scripts that stand the test of time.Explore the core architecture, concepts, and practices in depth.Learning PowerShell DSC is a step-by-step guide that shows you how to start using and taking advantage of PowerShell DSC along with configuring and deploying applications.Book DescriptionThe main goal of this book is to teach you to configure, deploy, and manage your system using the new features of PowerShell v5/v6 DSC. This book begins with the basics of PowerShell Desired State Configuration, covering its architecture and components. It familiarizes you with the set of Windows PowerShell language extensions and new Windows PowerShell commands that make up DSC. Then it helps you create DSC custom resources and work with DSC configurations with the help of practical examples. Finally, it describes how to deploy configuration data using PowerShell DSC. Throughout this book, we will be focusing on concepts such as building configurations with parameters, the local configuration manager, and testing and restoring configurations using PowerShell DSC. By the end of the book, you will be able to deploy a real-world application end-to-end and will be familiar enough with the powerful Desired State Configuration platform to achieve continuous delivery and efficiently and easily manage and deploy data for systems.What you will learnExplore PowerShell Desired State Configuration and activities around it, including the need for configuration management and abstraction.Create reusable DSC configurations and debug/ troubleshoot configuration files.Learn about the PowerShell DSC architecture with the help of push-and-pull management and workflows.Define DSC configuration scripts and data files and push DSC configuration files remotely and locally.Validate DSC Pull Server install and register target nodes with a DSC Pull Server.Who this book is forIf you are a system administrator, developer, or engineer and are responsible for configuration management and automation, then this book is for you. IT professionals who wish to learn PowerShell Desired State Configuration for the efficient management, configuration, and deployment of systems will also find this book useful.
Learning Predictive Analytics with Python
by Ashish KumarGain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About This Book * A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices * Get to grips with the basics of Predictive Analytics with Python * Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Who This Book Is For If you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. If you are familiar with coding in Python (or some other programming/statistical/scripting language) but have never used or read about Predictive Analytics algorithms, this book will also help you. The book will be beneficial to and can be read by any Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite. What You Will Learn * Understand the statistical and mathematical concepts behind Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python libraries * Analyze the result parameters arising from the implementation of Predictive Analytics algorithms * Write Python modules/functions from scratch to execute segments or the whole of these algorithms * Recognize and mitigate various contingencies and issues related to the implementation of Predictive Analytics algorithms * Get to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpy * Create dummy datasets and simple mathematical simulations using the Python numpy and pandas libraries * Understand the best practices while handling datasets in Python and creating predictive models out of them In Detail Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age. This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy. You'll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. Style and approach All the concepts in this book been explained and illustrated using a dataset, and in a step-by-step manner. The Python code snippet to implement a method or concept is followed by the output, such as charts, dataset heads, pictures, and so on. The statistical concepts are explained in detail wherever required.
Learning Predictive Analytics with Python
by Ashish Kumar<P><P>Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python <P><P>About This Book <P><P>A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices <P><P>Get to grips with the basics of Predictive Analytics with Python <P><P>Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering <P><P>Who This Book Is For <P><P>If you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. If you are familiar with coding in Python (or some other programming/statistical/scripting language) but have never used or read about Predictive Analytics algorithms, this book will also help you. The book will be beneficial to and can be read by any Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite. <P><P>What You Will Learn <P><P>Understand the statistical and mathematical concepts behind <P><P>Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python libraries <P><P>Analyze the result parameters arising from the implementation of Predictive Analytics algorithms <P><P>Write Python modules/functions from scratch to execute segments or the whole of these algorithms <P><P>Recognize and mitigate various contingencies and issues related to the implementation of Predictive Analytics algorithms <P><P>Get to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpy <P><P>Create dummy datasets and simple mathematical simulations using the Python numpy and pandas libraries <P><P>Understand the best practices while handling datasets in Python and creating predictive models out of them <P><P>In Detail <P><P>Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age. <P><P>This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy. <P><P>You'll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.
Learning Predictive Analytics with R
by Eric MayorGet to grips with key data visualization and predictive analytic skills using R About This Book * Acquire predictive analytic skills using various tools of R * Make predictions about future events by discovering valuable information from data using R * Comprehensible guidelines that focus on predictive model design with real-world data Who This Book Is For If you are a statistician, chief information officer, data scientist, ML engineer, ML practitioner, quantitative analyst, and student of machine learning, this is the book for you. You should have basic knowledge of the use of R. Readers without previous experience of programming in R will also be able to use the tools in the book. What You Will Learn * Customize R by installing and loading new packages * Explore the structure of data using clustering algorithms * Turn unstructured text into ordered data, and acquire knowledge from the data * Classify your observations using Naïve Bayes, k-NN, and decision trees * Reduce the dimensionality of your data using principal component analysis * Discover association rules using Apriori * Understand how statistical distributions can help retrieve information from data using correlations, linear regression, and multilevel regression * Use PMML to deploy the models generated in R In Detail R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As important information is often hidden in a lot of data, R helps to extract that information with its many standard and cutting-edge statistical functions. This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data. You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further. The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naïve Bayes, decision trees, and text mining. It also provides a description of visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages. Style and approach This is a practical book, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that's specific to this book, but that can also be applied to any other data.
Learning PrimeFaces Extensions Development
by Sudheer JonnaThis book provides a step by step approach that explains the most important extension components and their features. All the major features are explained by using the JobHub application with supporting screenshots. If you are an intermediate to advanced level user (or developer) who already has a basic working knowledge of PrimeFaces, then this book is for you. The only thing you need to know is Java Server Faces(JSF).
Learning Probabilistic Graphical Models in R
by David BellotThis book is for anyone who has to deal with lots of data and draw conclusions from it, especially when the data is noisy or uncertain. Data scientists, machine learning enthusiasts, engineers, and those who curious about the latest advances in machine learning will find PGM interesting.
Learning Professional Python: Volume 1: The Basics (Chapman & Hall/CRC The Python Series)
by Jude D. Hemanth Usharani BhimavarapuVolume 1 of Learning Professional Python is a resource for students who want to learn Python even if they don’t have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills. Learning Professional Python: Volume 1 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages Learn the Python generics and collections Develop exception handling and the multithreaded applications Design graphical user interface (GUI) applications
Learning Professional Python: Volume 2: Advanced (Chapman & Hall/CRC The Python Series)
by Jude D. Hemanth Usharani BhimavarapuVolume 2 of Learning Professional Python is a resource for students who want to learn Python even if they don’t have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in the IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills. Learning Professional Python: Volume 2 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages Learn the Python generics and collections Develop exception handling and the multithreaded applications Design graphical user interface (GUI) applications
Learning Proxmox VE
by Rik GoldmanThis book is intended for server and system administrators and engineers who are eager to take advantage of the potential of virtual machines and containers to manage servers more efficiently and make the best use of resources: from energy consumption to hardware utilization, to physical real estate. Understanding the file hierarchy standard common to GNU/Linux distributions is helpful.
Learning Puppet
by Jussi HeinonenBuild intelligent software stacks with the Puppet configuration management suite About This Book * Develop high-quality Puppet modules in an isolated development environment * Manage complex development environments with industry-leading configuration management tool * A comprehensive guide to get you started with Puppet development and deployment in virtual environments Who This Book Is For If you are new to configuration management and IT automation processes and are looking for better ways to manage system configuration changes at scale, this book is for you. Basic knowledge of Linux System Administration is a prerequisite. What You Will Learn * Manage your system with Puppet instantly * Develop Puppet in an isolated development environment * Make your manifests reusable to avoid re-inventing the wheel * Automate monitoring to improve the user experience through increased uptime * Enable nodes to communicate with each other via Puppet Master * Make environment configuration dynamic using stored configurations and PuppetDB * Extend Puppet beyond the built-in functionalities * Manage your environment through the Puppet Enterprise console In Detail Puppet is a cross-platform, open source configuration management utility, which runs on various Unix, Linux, and Windows Microsoft platforms. It allows you to automate all your IT configurations, giving you control of what you do to each node, and also when and how you do it. You'll be able to build and manage development, test, and production environments independently without requiring previous system administration experience. Learning Puppet is a step-by-step guide on how to get started with Puppet development and use Puppet modules as the building blocks to deploy production-ready application cluster in virtual environment. You will begin with the installation of development environment on the VirtualBox hypervisor and Puppet Learning VM that will be used as the platform for testing and development of Puppet modules. Next, you will learn how to manage virtual machines and snapshots effectively and enhance the development experience with advanced VirtualBox features. Later the book will focus on Puppet module development in detail. You will be guided through the process of utilizing existing modules that are available in the public module repository, write your own modules and use them to deploy a real-world web application that includes features such as monitoring and load balancing. You will then learn to scale your environment and turn your static configuration into a dynamic one through stored configurations and PuppetDB. Finally, the book will provide you with practical advice on Puppet troubleshooting and managing your environment with the wealth of features provided by the Puppet Enterprise console. Style and approach A comprehensive introductory guide to help you manage your infrastructure with Puppet. All instructions and explanations are supported with screenshots and code examples to ensure you get an easy start with Puppet.
Learning Puppet 4: A Guide to Configuration Management and Automation
by Jo RhettIf you're a system administrator, developer, or site reliability engineer responsible for handling hundreds or even thousands of nodes in your network, the Puppet configuration management tool will make your job a whole lot easier. This practical guide shows you what Puppet does, how it works, and how it can provide significant value to your organization.Through hands-on tutorials, DevOps engineer Jo Rhett demonstrates how Puppet manages complex and distributed components to ensure service availability. You’ll learn how to secure configuration consistency across servers, clients, your router, and even that computer in your pocket by setting up your own testing environment.Learn exactly what Puppet is, why it was created, and what problems it solvesTailor Puppet to your infrastructure with a design that meets your specific needsWrite declarative Puppet policies to produce consistency in your systemsBuild, test, and publish your own Puppet modulesManage network devices such as routers and switches with puppet device and integrated Puppet agentsScale Puppet servers for high availability and performanceExplore web dashboards and orchestration tools that supplement and complement Puppet
Learning Puppet Security
by Jason SlagleIf you are a security professional whose workload is increasing, or a Puppet professional looking to increase your knowledge of security, or even an experienced systems administrator, then this book is for you. This book will take you to the next level of security automation using Puppet. The book requires no prior knowledge of Puppet to get started.
Learning Puppet for Windows Server
by Fuat UlugayOrganize your Windows environment using Puppet tools to unload administrative burdens in a short time! About This Book * Learn to install and implement a Puppet server for Windows administration * Script Puppet manifests, functions, templates and facts for Windows * A step-by-step guide that helps you to make your Windows environment more secure with Puppet Who This Book Is For This book is for Windows administrators who are looking for ways to automate management tasks of Windows servers and clients. Prior experience in Windows administration and a basic knowledge of Linux and Puppet will help you create wonders using this book. What You Will Learn * Install Puppet on a Windows server and Foreman interface to have a user-friendly Puppet working environment * Discover how to install Puppet agents to single or multiple computers and get your hosts connected to Puppetmaster in one shot * Understand all about creating modules, writing manifests, managing files, services and, users in Puppet * Learn how to install Puppet Forge modules to complete tasks such as registry management, ACL, and firewall. * Explore the usage of Puppet facts, functions and modules to have a deeper understanding of how Puppet functions * Manage installation and updates of third party software using Puppet with Chocolatey to completely forgo the manual update chores in your daily plan * Use Puppet for Windows security to have a more secure environment In Detail Puppet is a configuration management tool. It allows you to automate all your IT configurations by giving you control of what you do to each "node" (Puppet agent), focusing also on when and how you do it. In context, Puppet is a cross-platform tool that is widely used for Unix-like and Microsoft Windows systems declaratively. However, it has been used more popularly for Unix-like systems. This book provides insights into using Puppet for Windows administration tasks such as server setup, application updates, and service management. This book kicks off with the fundamentals of Puppet by helping you with the installation of Puppet on a Windows server and progresses with the introduction of the Foreman interface for managing Puppet nodes. Next, you deal with the installation of Puppet agents on multiple clients and how to connect them to your Puppet server by grouping your nodes for easy management. You then become familiarized with the scripting of Puppet manifests along with an understanding of the module structure in Puppet. You further move on to the installation of Puppet Forge Modules and their usage in Windows along with advanced topics such as facts, functions and templates. Moreover, you also venture into the security aspects for Windows by gaining insights into various security settings that will make your server and clients more secure from hackers using different attack vectors. You will also use Puppet and Chocolatey to install and update software. You finally round off by learning how to check the details of reporting and status monitoring along with the automation of installing and updating software for multiple Windows clients arming you with ample artillery to tame Puppet for your future projects. Style and approach This book uses a step-by-step and easy-to-learn approach that helps make your Windows environment manageable with Puppet. Each chapter is explained in detail and with many screenshots. Almost all the scenarios and examples are taken from real-world scenarios.
Learning PySpark
by Tomasz Drabas Denny LeeBuild data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book • Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0 • Develop and deploy efficient, scalable real-time Spark solutions • Take your understanding of using Spark with Python to the next level with this jump start guide Who This Book Is For If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory. What You Will Learn • Learn about Apache Spark and the Spark 2.0 architecture • Build and interact with Spark DataFrames using Spark SQL • Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively • Read, transform, and understand data and use it to train machine learning models • Build machine learning models with MLlib and ML • Learn how to submit your applications programmatically using spark-submit • Deploy locally built applications to a cluster In Detail Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications. Style and approach This book takes a very comprehensive, step-by-step approach so you understand how the Spark ecosystem can be used with Python to develop efficient, scalable solutions. Every chapter is standalone and written in a very easy-to-understand manner, with a focus on both the hows and the whys of each concept.
Learning Python
by David Ascher Mark LutzPortable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. Learning Python, Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding.Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python, Second Edition is your best choice.