Internet of Things with Intel GalileoThis book starts by teaching you the essentials of the Intel Galileo board, its components, how to wire it, and how to use it safely. The book will teach you how to use and combine simple sensors to build more complex connected objects with the help of an Internet connection. You'll also learn how to control and read from your sensors by building a number of interesting projects. Finally, the book will familiarize you with the art of controlling your objects using mobile devices.
By the end of the book, you'll be able to understand the key concepts of the Internet of Things, and what a "Thing" truly is. This book will make you ready and also more aware of what you can do with a Galileo board, while inspiring you with more ideas to build your own home projects. ...
Scaling Big Data with Hadoop and SolrAs data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address some of the concerns, while Solr provides high-speed faceted search. Bringing these two technologies together is helping organizations resolve the problem of information extraction from Big Data by providing excellent distributed faceted search capabilities.
Scaling Big Data with Hadoop and Solr is a step-by-step guide that helps you build high performance enterprise search engines while scaling data. Starting with the basics of Apache Hadoop and Solr, this book then dives into advanced topics of optimizing search with some interesting real-world use cases and sample Java code. ...
Home Automation with Intel GalileoThis book provides you with a rapid introduction to Intel Galileo and home automation. You will start by setting up the Intel Galileo Board and its software development environment and learning cross-platform software programming using C and Linux. It then walks you through the home automation concept and provides insights about existing sensors and devices to use with Intel Galileo and explains how to use them in your own home. You will also create applications for energy management with electrical and environmental sensors and safeguard your homes using monitoring and surveillance concepts. Finally, you will learn to add advanced features to your home automation applications such as web interfaces to control devices, connecting with smartphones, and adding a microphone to add voice control features. ...
Learning C++ by Creating Games with UE4Unreal Engine 4 is used to create top notch, exciting games by AAA studios, and learning to program in C++ needs some serious motivation.
Learning C++ by Creating Games With UE4 will start with the basics of C++: installing a code editor so you can begin to write C++ code. You will then learn how to write small, self-contained C++ programs that show you how to use the C++ language, without overwhelming you with too much code at the beginning. As we dig into more advanced C++ concepts, you will start to explore the functionality the UE4 engine has to offer. You will use the UE4 editor to create your own world, and then program in some seriously fun gameplay. By the end of this book, you should have a good grasp of how to program in C++. ...
Learning Selenium Testing Tools with PythonSelenium WebDriver is a popular automated testing tool for web applications. Python is one of the top programming languages and when used with Selenium it can automate and test web applications. Using Python's unittest module, you can write test cases in Selenium. Over the years, Selenium has become a very powerful testing platform and many organizations are adopting Selenium WebDriver for creating automated user interface tests.
The book's main aim is to cover the fundamentals related to Python Selenium testing. You will learn how the Selenium WebDriver Python API can be integrated with CI and Build tools to allow tests to be run while building applications. This book will guide you through using the Selenium WebDriver Python client library as well as other tools from the Selenium project. Towards the end of this book, you'll get to grips with Selenium Grid, which is used for running tests in parallel using nodes for cross-browser testing. It will also give you a basic overview of ...
RESTful Java Patterns and Best PracticesThe convergence of social networking, cloud computing, and the era of mobile applications has created a generation of emerging technologies that allow different networked devices to communicate with each other over the Internet with REST. REST has the benefits of being stateless; easing scalability, visibility, and reliability; and being platform and language agnostic.
This book is a practical, hands-on guide that provides you with clear and pragmatic information to take advantage of the real power of RESTful services and gives you a good foundation for using them in your applications. By comparing APIs from platforms such as Facebook, Twitter, GitHub, and PayPal, the book teaches a range of exciting capabilities with RESTful services and explores the infinite possibilities by using the diverse building blocks and tips covered in various chapters. ...
Spring MVC CookbookSpring MVC is a lightweight application framework that comes with a great configuration by default. Being part of the Spring Framework, it naturally extended and supported it with an amazing set of recognizable annotations. External libraries can be plugged in and plugged out. It also possesses a request flow.
Complete support of REST web services makes the Spring architecture an extremely consistent choice to support your front-end needs and Internet transformations.
From the design of your Maven modules, you will achieve an Enterprise-standard for a stateless REST application based on Spring and Spring MVC with this book.
This guide is unique in its style as it features a massive overview of practical development techniques brought together from the Spring ecosystem, the new JEE standards, the JavaScript revolution and Internet of Things. ...
Learning SciPy for Numerical and Scientific ComputingIt's essential to incorporate workflow data and code from various sources in order to create fast and effective algorithms to solve complex problems in science and engineering. Data is coming at us faster, dirtier, and at an ever increasing rate. There is no need to employ difficult-to-maintain code, or expensive mathematical engines to solve your numerical computations anymore. SciPy guarantees fast, accurate, and easy-to-code solutions to your numerical and scientific computing applications.
Learning SciPy for Numerical and Scientific Computing unveils secrets to some of the most critical mathematical and scientific computing problems and will play an instrumental role in supporting your research. The book will teach you how to quickly and efficiently use different modules and routines from the SciPy library to cover the vast scope of numerical mathematics with its simplistic practical approach that's easy to follow. ...
Graphing Data with RIt's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.
Anyone who wants to analyze data will find something useful here - even if you don't have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start. ...
Mastering Apache SparkApache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations.
This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The book commences with an overview of the Spark eco-system. You will learn how to use MLlib to create a fully working neural net for handwriting recognition. You will then discover how stream processing can be tuned for optimal performance and to ensure parallel processing. The book extends to show how to incorporate H20 for machine learning, Titan for graph based storage, Databricks for cloud-based Spark. Intermediate Scala based code examples are provided for Apache Spark module processing in a CentOS Linux and Databricks cloud environment. ...