Bücher veröffentlicht von Packt Publishing Limited

Master the ins and outs of advanced operations with AnsibleAbout This Book* Learn how to extend Ansible with custom modules, plugins, and inventory sources* Utilize advanced Ansible features to orchestrate rolling updates with little to no service disruptions* An up-to-date book that brings to light the newly added features in Ansible 2.xWho This Book Is ForThis book is for Ansible developers and operators who have an understanding of the core elements and applications but are now looking to enhance their skills in applying automation using Ansible. What You Will Learn* Gain an in-depth understanding of how Ansible works under the covers* Fully automate the Ansible playbook executions with encrypted data* Access and manipulate variable data within playbooks* Use Blocks to construct failure recovery or cleanup* Explore the Playbook debugger and Ansible Console* Troubleshoot unexpected behavior effectively* Work with cloud infrastructure providers and container systems* Develop custom modules, plugins, and dynamic inventory sourcesIn DetailThis book provides you with the knowledge you need to understand how Ansible 2.1 works at a fundamental level and leverage its advanced capabilities. You'll learn how to encrypt Ansible content at rest and decrypt data at runtime. You will master the advanced features and capabilities required to tackle the complex automation challenges of today and beyond. You will gain detailed knowledge of Ansible workflows, explore use cases for advanced features, craft well thought out orchestrations, troubleshoot unexpected behaviour, and extend Ansible through customizations. Finally, you will discover the methods used to examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, the readers will be able to unlock the true power of the Ansible automation engine and will tackle complex real world actions with ease. Style and approachThis clear, practical guide illustrates the advanced functionalities of Ansible, its system architecture, and design aspects that will help you to master Ansible with ease.

Discover over 100 easy-to-follow recipes to help you implement efficient game physics and collision detection in your gamesAbout This Book* Get a comprehensive coverage of techniques to create high performance collision detection in games* Learn the core mathematics concepts and physics involved in depicting collision detection for your games* Get a hands-on experience of building a rigid body physics engineWho This Book Is ForThis book is for beginner to intermediate game developers. You don't need to have a formal education in games-you can be a hobbyist or indie developer who started making games with Unity 3D. What You Will Learn* Implement fundamental maths so you can develop solid game physics* Use matrices to encode linear transformations* Know how to check geometric primitives for collisions* Build a Physics engine that can create realistic rigid body behavior* Understand advanced techniques, including the Separating Axis Theorem* Create physically accurate collision reactions* Explore spatial partitioning as an acceleration structure for collisions* Resolve rigid body collisions between primitive shapesIn DetailPhysics is really important for game programmers who want to add realism and functionality to their games. Collision detection in particular is a problem that affects all game developers, regardless of the platform, engine, or toolkit they use. This book will teach you the concepts and formulas behind collision detection. You will also be taught how to build a simple physics engine, where Rigid Body physics is the main focus, and learn about intersection algorithms for primitive shapes. You'll begin by building a strong foundation in mathematics that will be used throughout the book. We'll guide you through implementing 2D and 3D primitives and show you how to perform effective collision tests for them. We then pivot to one of the harder areas of game development-collision detection and resolution. Further on, you will learn what a Physics engine is, how to set up a game window, and how to implement rendering. We'll explore advanced physics topics such as constraint solving. You'll also find out how to implement a rudimentary physics engine, which you can use to build an Angry Birds type of game or a more advanced game. By the end of the book, you will have implemented all primitive and some advanced collision tests, and you will be able to read on geometry and linear Algebra formulas to take forward to your own games!Style and approachGain the necessary skills needed to build a Physics engine for your games through practical recipes, in an easy-to-read manner. Every topic explained in the book has clear, easy to understand code accompanying it.

Create real-world enterprise solutions with NAV, Cloud, and the Microsoft stackAbout This Book* Integrate NAV with various offerings of the Microsoft stack to create enterprise-ready and service-oriented solutions* Use Power BI and Universal Windows Platform for effective data analysis and real-time tracking with NAV* Discover the services offered by Microsoft Azure and implement them in different industries using real-world case scenariosWho This Book Is ForThis book is for NAV developers and solution architects who need to implement real-world enterprise solutions based on Microsoft Dynamics NAV. Knowledge of the NAV programming language (C/AL) and C# language is recommended. Knowledge of ASP.NET and Visual Studio development would help, but is not necessary. What You Will Learn* Configure NAV Web Services and create external applications with Visual Studio, .NET, and .NET Core* Solve technical architectural problems by implementing enterprise solutions with NAV* Develop applications and solutions with Microsoft Dynamics NAV and the Microsoft technology stack* Create a Power BI dashboard for rich reporting and NAV data analysis* Find out how to transmit your device location from a UWP application to NAV in order to implement a distributed solution for managing couriers in a sales company* Make the most of Microsoft Azure and its services* Create enterprise solutions with NAV by using Azure App Service* Use Azure Service Bus for managing distributed NAV applicationsIn DetailImplementing Microsoft Dynamics NAV in the real world often requires you to integrate the ERP with external applications or solve complex architectural tasks in order to have a final successful project. This book will show you how to extend a Microsoft Dynamics NAV installation to the enterprise world in a practical way. The book starts with an introduction to Microsoft Dynamics NAV architecture and then moves on to advanced topics related to implementing real-world solutions based on NAV and external applications. You will learn how an enterprise distributed architecture with NAV at the core can be implemented. Through a series of real-world cases on every topic and every industry (sales, retail, manufacturing, distribution, healthcare, and so on), you'll see step by step how to efficiently solve a technical problem. These common problems encountered in a NAV implementation will be solved using the entire technology stack that Microsoft offers. By the end of the book, you will have the knowledge to efficiently solve certain scenarios, you will know which is the best solution architecture to propose to a customer and how to implement it. Style and approachTaking you through a variety of real-world use cases, the book will show you step by step all you need to know to tackle these problems and give you creative ideas to implement in related problems you might come across in the real world.

Ultimate guide for programming Arduino with CAbout This Book* Get hands-on experience with the Ardruino board and learn to control it with your programming skills* Learn the essential concepts of C such as variables, data structures, functions, loops, and pointers* Work with electronic devices such as LEDs, switches, and motors and connect them to Arduino using CWho This Book Is ForThis book is for hobbyists who have no knowledge about programming and microcontrollers, but are keen to learn C programming using a very affordable hardware device. What You Will Learn* Play with mathematical operations using C* Use logical operations and loops to play with LEDs and the Arduino board* Create custom functions using C and connect an SD card to the Arduino* Use Object-oriented Programming to connect a GSM module to the Arduino board* Play with an LCD board and Servo using standard Arduino libraries* Build projects using Arduino such as a LED cube, a smart weather system, and home security* Identify and fix common errors on an Arduino boardIn DetailThis book will start with the fundamentals of C programming and programming topics, such data types, functions, decision making, program loops, pointers, and structures, with the help of an Arduino board. Then you will get acquainted with Arduino interactions with sensors, LEDs, and autonomous systems and setting up the Arduino environment. Moving on you will also learn how to work on the digital and analog I/O, establish serial communications with autonomous systems, and integrate with electronic devices. By the end of the book, you will be able to make basic projects such as LED cube and smart weather system that leverages C. Style and approachThis comprehensive step-by-step guide starts with the basic concepts of C for your Arduino board. It will teach you how to leverage C to explore the capabilities of Arduino.

Any software developers, architects, and technical managers lookng to learn about Azure IaaS essentials need look no further. This book is ideal for Microsoft Enterprise developers, DevOps or any IT professionals looking to connect cloud-based and on-premises systems with Azure.

Over 80 practical and interesting recipes that explore the plethora of functionalities and opportunities available with Raspberry Pi ZeroAbout This Book* Deep dive into the components of the small yet powerful Raspberry Pi Zero* Get into grips with integrating various hardware, programming, and networking concepts with the so-called "e;cheapest computer"e;* Explore the functionalities of this $5 chip through practical recipesWho This Book Is ForThis book is for programmers and hobbyists who are eager to dive deep into the Raspberry Pi Zero. If you have basic or zero knowledge of the Raspberry Pi Zero, or if you looking for examples of ways to utilize the Raspberry Pi's GPIO interface, then this book is ideal for you. Basic knowledge of Python will be beneficial, and experience with circuitry and electronics will be needed for the later chapters in the book. What You Will Learn* Set up your Raspberry Pi Zero with the operating system, networking, and different interfaces* Get a hands-on introduction to Linux, Python, and shell scripts with the Raspberry Pi Zero* Become a master at driving GPIOs and controlling relays, motors, transistors, buzzers, audio, read switches, and interrupts with the Raspberry Pi Zero* Control GPIOs using the web interface and Node.js* Connect displays, LED matrixes, analog sensors, and digital sensors* Hack the Ethernet on the Raspberry Pi Zero* Make your Raspberry Pi Zero an IoT-based sensor node and remotely monitor your dataIn DetailThe Raspberry Pi Zero, one of the most inexpensive, fully-functional computers available, is a powerful and revolutionary product developed by the Raspberry Pi Foundation. The Raspberry Pi Zero opens up a new world for the makers out there. This book will give you expertise with the Raspberry Pi Zero, providing all the necessary recipes that will get you up and running. In this book, you will learn how to prepare your own circuits rather than buying the expensive add-ons available in the market. We start by showing you how to set up and manage the Pi Zero and then move on to configuring the hardware, running it with Linux, and programming it with Python scripts. Later, we integrate the Raspberry Pi Zero with sensors, motors, and other hardware. You will also get hands-on with interesting projects in media centers, IoT, and more. Style and approachThis recipe-based book will ensure you gain an intermediate-level knowledge of the Raspberry Pi Zero. This book contains comprehensive illustrations with specific schematics for each circuit diagram.

Leverage the power of Reactive Programming in PHPAbout This Book* Develop an interesting multiplayer browser game written in RxJS and re-implement it using RxPHP* Enhance existing reactive applications by building a CLI tool combining Symfony Console* Implement Gearman and Rabbit MQ for asynchronous communicationWho This Book Is ForThis book is aimed at people with a solid knowledge of PHP and programming languages in general. We also assume they have at least a little experience with other technologies such as JavaScript, Node.js, and others. What You Will Learn* How to work with the RxPHP library and see what it offers via many examples* Use the RxPHP library in combination with Symfony Console* The different approaches to using Symfony3's Event Dispatcher component* Test your reactive PHP code using PHPUnit* Analyze PHP source code and apply a custom set of rules by building a CLI toolIn DetailReactive Programming helps us write code that is concise, clear, and readable. Combining the power of reactive programming and PHP, one of the most widely used languages, will enable you to create web applications more pragmatically. PHP Reactive Programming will teach you the benefits of reactive programming via real-world examples with a hands-on approach. You will create multiple projects showing RxPHP in action alone and in combination with other libraries. The book starts with a brief introduction to reactive programming, clearly explaining the importance of building reactive applications. You will use the RxPHP library, built a reddit CLI using it, and also re-implement the Symfony3 Event Dispatcher with RxPHP. You will learn how to test your RxPHP code by writing unit tests. Moving on to more interesting aspects, you will implement a web socket backend by developing a browser game. You will learn to implement quite complex reactive systems while avoiding pitfalls such as circular dependencies by moving the RxJS logic from the frontend to the backend. The book will then focus on writing extendable RxPHP code by developing a code testing tool and also cover Using RxPHP on both the server and client side of the application. With a concluding chapter on reactive programming practices in other languages, this book will serve as a complete guide for you to start writing reactive applications in PHP. Style and approachThis book will teach readers how to build reactive applications in a step-by-step manner. It will also present several examples of reactive applications implemented with different frameworks.

Implement machine learning, time-series analysis, algorithmic trading and moreAbout This Book* Understand the basics of R and how they can be applied in various Quantitative Finance scenarios* Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. * Contain different methods to manage risk and explore trading using Machine Learning. Who This Book Is ForIf you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required. What You Will Learn* Get to know the basics of R and how to use it in the field of Quantitative Finance* Understand data processing and model building using R* Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis* Build and analyze quantitative finance models using real-world examples* How real-life examples should be used to develop strategies* Performance metrics to look into before deciding upon any model* Deep dive into the vast world of machine-learning based trading* Get to grips with algorithmic trading and different ways of optimizing it* Learn about controlling risk parameters of financial instrumentsIn DetailThe role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language. You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate. We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging. By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R. Style and approachThis book introduces you to the essentials of quantitative finance with the help of easy-to-understand, practical examples and use cases in R. Each chapter presents a specific financial concept in detail, backed with relevant theory and the implementation of a real-life example.

You?re pro Docker? You?ve read all about orchestration with Docker in books? Now learn how to troubleshoot Docker in practice. Gain all the tools to safely see Docker in action with this 2017 book.

Linux kernel is a complex, portable, modular, and widely used piece of software, running on around 80% of servers and embedded systems in more than half of devices throughout the World.

Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.

The Spring Framework is an application framework and inversion of the control container for the Java platform. Spring 5.0 is due to arrive with a myriad of new and exciting features. Written to the latest specifications of Spring, this book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud.

FreeSWITCH is an open source telephony platform designed to facilitate the creation of voice and chat-driven products, scaling from a soft-phone to a PBX and even up to an enterprise-class soft-switch. This book introduces FreeSWITCH to IT professionals who want to build their own telephony system.

The Salesforce market is booming right now; employers have recognized the value that Salesforce experts add to an organization and want to hire them over their counterparts. This book will equip you with the tools you need to build a successful career in Salesforce administration and, moreover, it will help you crack the Advanced Admin Certifica...

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analyticsAbout This Book* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark* Explore and exploit various possibilities with Apache Spark using real-world use cases in this book* Want to perform efficient data processing at real time? This book will be your one-stop solution. Who This Book Is ForThis guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful. The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science with no prior Spark experience and want to understand how Spark can help them on their analytics journey. What You Will Learn* Get an overview of big data analytics and its importance for organizations and data professionals* Delve into Spark to see how it is different from existing processing platforms* Understand the intricacies of various file formats, and how to process them with Apache Spark. * Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager. * Learn the concepts of Spark SQL, SchemaRDD, Caching and working with Hive and Parquet file formats* Understand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark. * Introduce yourself to the deployment and usage of SparkR. * Walk through the importance of Graph computation and the graph processing systems available in the market* Check the real world example of Spark by building a recommendation engine with Spark using ALS. * Use a Telco data set, to predict customer churn using Random Forests. In DetailSpark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key capabilities is crucial whether it is on a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos. The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases. Once we understand the individual components, we will take a couple of real life advanced analytics examples such as 'Building a Recommendation system', 'Predicting customer churn' and so on. The objective of these real life examples is to give the reader confidence of using Spark for real-world problems. Style and approachWith the help of practical examples and real-world use cases, this guide will take you from scratch to building efficient data applications using Apache Spark. You will learn all about this excellent data processing engine in a step-by-step manner, taking one aspect of it at a time. This highly practical guide will include how to work with data pipelines, dataframes, clustering, SparkSQL, parallel programming, and such insightful topics with the help of real-world use cases.

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science productsAbout This Book* Develop and apply advanced analytical techniques with Spark* Learn how to tell a compelling story with data science using Spark's ecosystem* Explore data at scale and work with cutting edge data science methodsWho This Book Is ForThis book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn* Learn the design patterns that integrate Spark into industrialized data science pipelines* See how commercial data scientists design scalable code and reusable code for data science services* Explore cutting edge data science methods so that you can study trends and causality* Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs* Find out how Spark can be used as a universal ingestion engine tool and as a web scraper* Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining* Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams* Study advanced Spark concepts, solution design patterns, and integration architectures* Demonstrate powerful data science pipelinesIn DetailData science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance -solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approachThis is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.