This book is intended for software developers, system architects and analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.

This book is for system engineers and administrators who have a fundamental understanding of information management systems and infrastructure. It helps if you've already played around with Chef; however, this book covers all the important topics you will need to know. If you don't want to dig through a whole book before you can get started, this book is for you, as it features a set of independent recipes you can try out immediately.

This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.

This book is for testers looking for quick access to powerful, modern tools and customizable *s to kick-start the creation of their own Python web penetration testing toolbox.

The book is best suited for existing Android or Java programmers who want to adapt their skills to make exciting Android games. The book is also for determined readers who might have no Android, game programming or even Java experience, but a reasonable understanding of object oriented programming knowledge is assumed.

This book is for Windows administrators seeking to automate the 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.

If you are a C# developer who wants to develop Android apps and enhance your existing skill set, then this book is ideal for you. Good working knowledge of C#, .NET, and object-oriented software development is assumed.

If you are a web developer with some experience in the development of single page applications and want to enter the world of mobile applications, then this technology and book are ideal for you. No previous experience in the C++ or Java languages is required.

If you are an application developer who wishes to enhance your skills for the GIS domain with ArcGIS, then this book is for you. Previous experience with ArcGIS is not required.

This book is intended for readers who are familiar with the Arduino platform and want to learn more about creating wearable projects. No previous experience in wearables is expected, although a basic knowledge of Arduino will help.

React Native's ability to build performant mobile applications with JavaScript has resulted in its popularity amongst developers. Developers now have the luxury to create incredible mobile experiences that look and feel native to their platforms with the comfort of a well-known language and the popular React.js library. This book will show you how to build your own native mobile applications for the iOS and Android platforms while leveraging the finesse and simplicity of JavaScript and React. Throughout the book you will build three projects, each of increasing complexity. You will also link up with the third-party Facebook SDK, convert an app to support the Redux architecture, and learn the process involved in making your apps available for sale on the iOS App Store and Google Play. At the end of this book, you will have learned and implemented a wide breadth of core APIs and components found in the React Native framework that are necessary in creating great mobile experiences. What you will learn ?How to create mobile-performant iOS and Android apps using JavaScript and React ?The potential of each API and component, putting them into practice throughout the course of three projects ?The process of integrating the Facebook SDK to build an app that connects to third-party data ?Every step taken to implement Redux, a popular state management library, in your mobile apps

Bring the power of functional programming to Swift to develop clean, smart, scalable and reliable applications. About This Book ?Written for the latest version of Swift, this is a comprehensive guide that introduces iOS, Web and macOS developers to the all-new world of functional programming that has so far been alien to them ?Get familiar with using functional programming alongside existing OOP techniques so you can get the best of both worlds and develop clean, robust, and scalable code ?Develop a case study on example backend API with Swift and Vapor Framework and an iOS application with Functional Programming, Protocol-Oriented Programming, Functional Reactive Programming, and Object-Oriented Programming techniques Who This Book Is For Meant for a reader who knows object-oriented programming, has some experience with Objective-C/Swift programming languages and wants to further enhance his skills with functional programming techniques with Swift 3.x. What You Will Learn ?Understand what functional programming is and why it matters ?Understand custom operators, function composition, currying, recursion, and memoization ?Explore algebraic data types, pattern matching, generics, associated type protocols, and type erasure ?Get acquainted with higher-kinded types and higher-order functions using practical examples ?Get familiar with functional and non-functional ways to deal with optionals ?Make use of functional data structures such as semigroup, monoid, binary search tree, linked list, stack, and lazy list ?Understand the importance of immutability, copy constructors, and lenses

Master the art of detecting and averting advanced network security attacks and techniques About This Book ?Deep dive into the advanced network security attacks and techniques by leveraging tools such as Kali Linux 2, MetaSploit, Nmap, and Wireshark ?Become an expert in cracking WiFi passwords, penetrating anti-virus networks, sniffing the network, and USB hacks ?This step-by-step guide shows you how to confidently and quickly detect vulnerabilities for your network before the hacker does Who This Book Is For This book is for network security professionals, cyber security professionals, and Pentesters who are well versed with fundamentals of network security and now want to master it. So whether you're a cyber security professional, hobbyist, business manager, or student aspiring to becoming an ethical hacker or just want to learn more about the cyber security aspect of the IT industry, then this book is definitely for you. What You Will Learn ?Use SET to clone webpages including the login page ?Understand the concept of Wi-Fi cracking and use PCAP file to obtain passwords ?Attack using a USB as payload injector ?Familiarize yourself with the process of trojan attacks ?Use Shodan to identify honeypots, rogue access points, vulnerable webcams, and other exploits found in the database ?Explore various tools for wireless penetration testing and auditing ?Create an evil twin to intercept network traffic ?Identify human patterns in networks attacks In Detail Computer networks are increasing at an exponential rate and the most

Learn how to implement a DSL with Xtext and Xtend using easy-to-understand examples and best practices About This Book Leverage the latest features of Xtext and Xtend to develop a domain-specific language. Integrate Xtext with popular third party IDEs and get the best out of both worlds. Discover how to test a DSL implementation and how to customize runtime and IDE aspects of the DSL Who This Book Is For This book is targeted at programmers and developers who want to create a domain-specific language with Xtext. They should have a basic familiarity with Eclipse and its functionality. Previous experience with compiler implementation can be helpful but is not necessary since this book will explain all the development stages of a DSL. What You Will Learn Write Xtext grammar for a DSL; Use Xtend as an alternative to Java to write cleaner, easier-to-read, and more maintainable code; Build your Xtext DSLs easily with Maven/Tycho and Gradle; Write a code generator and an interpreter for a DSL; Explore the Xtext scoping mechanism for symbol resolution; Test most aspects of the DSL implementation with JUnit; Understand best practices in DSL implementations with Xtext and Xtend; Develop your Xtext DSLs using Continuous Integration mechanisms; Use an Xtext editor in a web application In Detail Xtext is an open source Eclipse framework for implementing domain-specific languages together with IDE functionalities. It lets you implement languages really quickly; most of all, it covers all aspects of a complete language infrastructure, including the parser, code generator, interpreter, and more. This book will enable you to implement Domain Specific Languages (DSL) efficiently, together with their IDE tooling, with Xtext and Xtend. Opening with brief coverage of Xtext features involved in DSL implementation, including integration in an IDE, the book will then introduce you to Xtend as this language will be used in all the examples throughout the book. You will then explore the typical programming development workflow with Xtext when we modify the grammar of the DSL. Further, the Xtend programming language (a fully-featured Java-like language tightly integrated with Java) will be introduced. We then explain the main concepts of Xtext, such as validation, code generation, and customizations of runtime and UI aspects. You will have learned how to test a DSL implemented in Xtext with JUnit and will progress to advanced concepts such as type checking and scoping. You will then integrate the typical Continuous Integration systems built in to Xtext DSLs and familiarize yourself with Xbase. By the end of the book, you will manually maintain the EMF model for an Xtext DSL and will see how an Xtext DSL can also be used in IntelliJ. Style and approach A step-by step-tutorial with illustrative examples that will let you master using Xtext and implementing DSLs with its custom language, Xtend.

Design, implement, and publish custom Splunk applications by following best practices About This Book This is the most up-to-date guide on the market and will help you finish your tasks faster, easier, and more efficiently. Highly practical guide that addresses common and not-so-common pain points in Splunk. Want to explore shortcuts to perform tasks more efficiently with SplunkThis is the book for you! Who This Book Is For This book is for administrators, developers, and search ninjas who have been using Splunk for some time. A comprehensive coverage makes this book great for Splunk veterans and newbies alike. What You Will Learn Use Splunk effectively to gather, analyze, and report on operational data throughout your environment Expedite your reporting, and be empowered to present data in a meaningful way Create robust searches, reports, and charts using Splunk Modularize your programs for better reusability. Build your own Splunk apps and learn why they are important Learn how to integrate with enterprise systems Summarize data for longer term trending, reporting, and analysis In Detail This book will give you an edge over others through insights that will help you in day-to-day instances. When you're working with data from various sources in Splunk and performing analysis on this data, it can be a bit tricky. With this book, you will learn the best practices of working with Splunk. You'll learn about tools and techniques that will ease your life with Splunk, and will ultimately save you time. In some cases, it will adjust your thinking of what Splunk is, and what it can and cannot do. To start with, you'll get to know the best practices to get data into Splunk, analyze data, and package apps for distribution. Next, you'll discover the best practices in logging, operations, knowledge management, searching, and reporting. To finish off, we will teach you how to troubleshoot Splunk searches, as well as deployment, testing, and development with Splunk. Style and approach If you're stuck or want to find a better way to work with Splunk environment, this book will come handy. This easy-to-follow, insightful book contains step-by-step instructions and examples and scenarios that you will connect to.

Modularize your JavaScript code for better readability, greater maintainability, and enhanced testability About This Book Design and build fully modular, modern JavaScript applications using modular design concepts Improve code portability, maintainability, and integrity while creating highly scalable and responsive web applications Implement your own loosely coupled code blocks that can power highly maintainable and powerful applications in a flexible and highly responsive modular architecture Who This Book Is For If you are an intermediate to advanced JavaScript developer who has experience of writing JavaScript code but probably not in a modular, portable manner, or you are looking to develop enterprise level JavaScript applications, then this book is for you. A basic understanding of JavaScript concepts such as OOP, prototypal inheritance, and closures is expected. What You Will Learn Understand the important concepts of OOP in JavaScript, such as scope, objects, inheritance, event delegation, and more Find out how the module design pattern is used in OOP in JavaScript Design and augment modules using both tight augmentation and loose augmentation Extend the capabilities of modules by creating sub-modules using techniques such as cloning and inheritance Move from isolated module pieces to a cohesive, well integrated application modules that can interact and work together without being tightly coupled See how SandBoxing is used to create a medium for all the modules to talk to each other as well as to the core Use the concepts of modular application design to handle dependencies and load modules asynchronously Become familiar with AMD and CommonJS utilities and discover what the future of JavaScript holds for modular programming and architecture In Detail Programming in the modular manner is always encouraged for bigger systems—it is easier to achieve scalability with modular programming. Even JavaScript developers are now interested in building programs in a modular pattern. Modules help people who aren’t yet familiar with code to find what they are looking for and also makes it easier for programmers to keep things that are related close together. Designing and implementing applications in a modular manner is highly encouraged and desirable in both simple and enterprise level applications. This book covers some real-life examples of modules and how we can translate that into our world of programming and application design. After getting an overview of JavaScript object-oriented programming (OOP) concepts and their practical usage, you should be able to write your own object definitions using the module pattern. You will then learn to design and augment modules and will explore the concepts of cloning, inheritance, sub-modules, and code extensibility. You will also learn about SandBoxing, application design, and architecture based on modular design concepts. Become familiar with AMD and CommonJS utilities. By the end of the book, you will be able to build spectacular modular applications in JavaScript. Style and approach This in-depth step-by-step guide will teach you modular programming with JavaScript. Starting from the basics, it will cover advanced modular patterns that can be used in sophisticated JavaScript applications.

Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python About This Book Resolve complex machine learning problems and explore deep learning Learn to use Python code for implementing a range of machine learning algorithms and techniques A practical tutorial that tackles real-world computing problems through a rigorous and effective approach Who This Book Is For This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you’ve ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful. What You Will Learn Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Apply your new found skills to solve real problems, through clearly-explained code for every technique and test Automate large sets of complex data and overcome time-consuming practical challenges Improve the accuracy of models and your existing input data using powerful feature engineering techniques Use multiple learning techniques together to improve the consistency of results Understand the hidden structure of datasets using a range of unsupervised techniques Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together In Detail Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear de*ions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Style and approach This book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance.

Discover an all in one handbook to developing immersive and cross-platform Android games About This Book Practical tips and tricks to develop powerful Android games Learn to successfully implement microtransactions and monitor the performance of your game once it’s out live. Integrate Google’s DIY VR tool and Google Cardboard into your games to join in on the VR revolution Who This Book Is For This book is ideal for any game developer, with prior knowledge of developing games in Android. A good understanding of game development and a basic knowledge on Android platform application development and JAVA/C++ will be appreciated. What You Will Learn Learn the prospects of Android in Game Development Understand the Android architecture and explore platform limitation and variations Explore the various approaches for Game Development using Android Learn about the common mistakes and possible solutions on Android Game Development Discover the top Cross Platform Game Engines and port games on different android platform Optimize memory and performance of your game. Familiarize yourself with different ways to earn money from Android Games In Detail Gaming in android is an already established market and growing each day. Previously games were made for specific platforms, but this is the time of cross platform gaming with social connectivity. It requires vision of polishing, design and must follow user behavior. This book would help developers to predict and create scopes of improvement according to user behavior. You will begin with the guidelines and rules of game development on the Android platform followed by a brief de*ion about the current variants of Android devices available. Next you will walk through the various tools available to develop any Android games and learn how to choose the most appropriate tools for a specific purpose. You will then learn JAVA game coding standard and style upon the Android SDK. Later, you would focus on creation, maintenance of Game Loop using Android SDK, common mistakes in game development and the solutions to avoid them to improve performance. We will deep dive into Shaders and learn how to optimize memory and performance for an Android Game before moving on to another important topic, testing and debugging Android Games followed by an overview about Virtual Reality and how to integrate them into Android games. Want to program a different wayInside you’ll also learn Android game Development using C++ and OpenGL. Finally you would walk through the required tools to polish and finalize the game and possible integration of any third party tools or SDKs in order to monetize your game when it’s one the market! Style and approach The book follows a handbook approach, focused on current and future game development trend from every possible aspect including monetization and sustainability in the market.

Familiarize yourself with all of Kotlin’s features with this in-depth guide About This Book Get a thorough introduction to Kotlin Learn to use Java code alongside Kotlin without any hiccups Get a complete overview of null safety, Generics, and many more interesting features Who This Book Is For The book is for existing Java developers who want to learn more about an alternative JVM language. If you want to see what Kotlin has to offer, this book is ideal for you. What You Will Learn Use new features to write structured and readable object-oriented code Find out how to use lambdas and higher order functions to write clean, reusable, and simple code Write unit tests and integrate Kotlin tests with Java code in a transitioning code base Write real-world production code in Kotlin in the style of microservices Leverage Kotlin’s extensions to the Java collections library Use destructuring expressions and find out how to write your own Write code that avoids null pointer errors and see how Java-nullable code can integrate with features in a Kotlin codebase Discover how to write functions in Kotlin, see the new features available, and extend existing libraries Learn to write an algebraic data types and figure out when they should be used In Detail Kotlin has been making waves ever since it was open sourced by JetBrains in 2011; it has been praised by developers across the world and is already being adopted by companies. This book provides a detailed introduction to Kotlin that shows you all its features and will enable you to write Kotlin code to production. We start with the basics: get you familiar with running Kotlin code, setting up, tools, and instructions that you can use to write basic programs. Next, we cover object oriented code: functions, lambdas, and properties – all while using Kotlin’s new features. Then, we move on to null safety aspects and type parameterization. We show you how to destructure expressions and even write your own. We also take you through important topics like testing, concurrency, microservices, and a whole lot more. By the end of this book you will be able to compose different services and build your own applications. Style and approach An easy to follow guide that covers the full set of features in Kotlin programming.

Build powerful and fast applications with F# About This Book· Explore the advanced concurrency support in F# and .NET TPL·Covers major optimization techniques in F# to improve the performance of applications·Use Struct, Class and Record model, Interop with C# and VB without sacrificing performance. Who This Book Is For This book is for F# developers who want to build high-performance applications. Knowledge of functional programming would be helpful. What You Will Learn· Understand how the execution of functions in F# works·Identify common performance bottlenecks·Implement best practices to optimize performance·Use the available tooling to help measure performance·Combine the best practice of asynchronous and synchronous·Optimize further using various F# language constructs In Detail F# is a functional programming language and is used in enterprise applications that demand high performance. It has its own unique trait: it is a functional programming language and has OOP support at the same time. This book will help you make F# applications run faster with examples you can easily break down and take into your own work. You will be able to assess the performance of the program and identify bottlenecks. Beginning with a gentle overview of concurrency features in F#, you will get to know the advanced topics of concurrency optimizations in F#, such as F# message passing agent of MailboxProcessor and further interoperation with .NET TPL. Based on this knowledge, you will be able to enhance the performance optimizations when implementing and using other F# language features. The book also covers optimization techniques by using F# best practices and F# libraries. You will learn how the concepts of concurrency and parallel programming will help in improving the performance. With this, you would be able to take advantage of multi-core processors and track memory leaks, root causes, and CPU issues. Finally, you will be able to test their applications to achieve scalability. Style and approach This easy-to-follow guide is full of hands-on examples of real-world multithreading tasks. Each topic is explained and placed in context, and for the more inquisitive, there are also more in-depth details of the concepts used.

Learn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how to perform real-world data science tasks with R and Python Create actionable insights and transform raw data into tangible value Who This Book Is For You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. You should have the urge to learn and apply the techniques put forth in this book on either your own data sets or those provided to you. If you have the basic math skills but want to apply them in data science or you have good programming skills but lack math, then this book is for you. What You Will Learn Get to know the five most important steps of data science Use your data intelligently and learn how to handle it with care Bridge the gap between mathematics and programming Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results Build and evaluate baseline machine learning models Explore the most effective metrics to determine the success of your machine learning models Create data visualizations that communicate actionable insights Read and apply machine learning concepts to your problems and make actual predictions In Detail Need to turn your skills at programming into effective data science skillsPrinciples of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you’ll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas. With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you’ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You’ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means. Style and approach This is an easy-to-understand and accessible tutorial. It is a step-by-step guide with use cases, examples, and illustrations to get you well-versed with the concepts of data science. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts later on and will help you implement these techniques in the real world.