Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide About This Book ? Practical recipes on training different neural network models and tuning them for optimal performance ? Use Python frameworks like TensorFlow, Caffe, Keras, Theano for Natural Language Processing, Computer Vision, and more ? A hands-on guide covering the common as well as the not so common problems in deep learning using Python Who This Book Is For This book is intended for machine learning professionals who are looking to use deep learning algorithms to create real-world applications using Python. Thorough understanding of the machine learning concepts and Python libraries such as NumPy, SciPy and scikit-learn is expected. Additionally, basic knowledge in linear algebra and calculus is desired. What You Will Learn ? Implement different neural network models in Python ? Select the best Python framework for deep learning such as PyTorch, Tensorflow, MXNet and Keras ? Apply tips and tricks related to neural networks internals, to boost learning performances ? Consolidate machine learning principles and apply them in the deep learning field ? Reuse and adapt Python code snippets to everyday problems ? Evaluate the cost/benefits and performance implication of each discussed solution In Detail Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios. Style and approach Unique blend of independent recipes arranged in the most logical manner

Master the art of automating and managing your environment using PowerShell About This Book ? Find quick solutions to automate your environment with ease ? Work with large amounts of data effortlessly with PowerShell data types and secure them ? Packed with real-world examples to automate and simplify the management of your Windows environment Who This Book Is For If you are a system administrator who wants to become an expert in controlling and automating your Windows environment, then this book is for you. It is also for those new to the PowerShell language. What You Will Learn ? Optimize code through the use of functions, switches, and looping structures ? Install PowerShell on your Linux system ? Utilize variables, hashes, and arrays to store data ? Work with Objects and Operators to test and manipulate data ? Parse and manipulate different data types ? Write .NET classes with ease within the PowerShell ? Create and implement regular expressions in PowerShell *s ? Deploy applications and code with PowerShell’s Package management modules ? Leverage session-based remote management ? Manage files, folders, and registries through the use of PowerShell In Detail PowerShell *s offer a handy way to automate various chores. Working with these *s effectively can be a difficult task. This comprehensive guide starts from scratch and covers advanced-level topics to make you a PowerShell expert. The first module, PowerShell Fundamentals, begins with new features, installing PowerShell on Linux, working with parameters and objects, and also how you can work with .NET classes from within PowerShell. In the next module, you’ll see how to efficiently manage large amounts of data and interact with other services using PowerShell. You’ll be able to make the most of PowerShell’s powerful automation feature, where you will have different methods to parse and manipulate data, regular expressions, and WMI. After automation, you will enter the Extending PowerShell module, which covers topics such as asynchronous processing and, creating modules. The final step is to secure your PowerShell, so you will land in the last module, Securing and Debugging PowerShell, which covers PowerShell execution policies, error handling techniques, and testing. By the end of the book, you will be an expert in using the PowerShell language. Style and approach This practical guide covers all the advanced PowerShell functionalities that an administrator needs to learn to automate their environments.

Getting started with the processes and the tools to continuously deliver high-quality software About This Book ? Incorporate popular development practices to prevent messy code ? Automate your build, integration, release, and deployment processes with Jenkins, Git, and Gulp―and learn how continuous integration (CI) can save you time and money ? Gain an end-to-end overview of Continuous Integration using different languages (JavaScript and C#) and tools (Gulp and Jenkins) Who This Book Is For This book is for developers who want to understand and implement Continuous Integration and Delivery in their daily work. A basic knowledge of at least JavaScript and HTML/CSS is required. Knowing C# and SQL will come in handy. Most programmers who have programmed in a (compiled) C-like language will be able to follow along. What You Will Learn ? Get to know all the aspects of Continuous Integration, Deployment, and Delivery ? Find out how Git can be used in a CI environment ? Set up browser tests using Karma and Selenium and unit tests using Jasmine ? Use Node.js, npm, and Gulp to automate tasks such as linting, testing, and minification ? Explore different Jenkins jobs to integrate with Node.js and C# projects ? Perform Continuous Delivery and Deployment using Jenkins ? Test and deliver a web API In Detail The challenge faced by many teams while implementing Continuous Deployment is that it requires the use of many tools and processes that all work together. Learning and implementing all these tools (correctly) takes a lot of time and effort, leading people to wonder whether it's really worth it. This book sets up a project to show you the different steps, processes, and tools in Continuous Deployment and the actual problems they solve. We start by introducing Continuous Integration (CI), deployment, and delivery as well as providing an overview of the tools used in CI. You'll then create a web app and see how Git can be used in a CI environment. Moving on, you'll explore unit testing using Jasmine and browser testing using Karma and Selenium for your app. You'll also find out how to automate tasks using Gulp and Jenkins. Next, you'll get acquainted with database integration for different platforms, such as MongoDB and PostgreSQL. Finally, you'll set up different Jenkins jobs to integrate with Node.js and C# projects, and Jenkins pipelines to make branching easier. By the end of the book, you'll have implemented Continuous Delivery and deployment from scratch. Style and approach This practical book takes a step-by-step approach to explaining all the concepts of Continuous Integration and delivery, and how it can help you deliver a high-quality product.

Leverage the power of Type* 2.0 using real-world examples About This Book ? Begin with the fundamentals of TypeScript and learn how to write better JavaScript code ? Build three amazing applications throughout the book ? Leverage the power of tools such as Angular 2 and NativeScript to build for the web as well as for mobile Who This Book Is For Web developers who would like to learn how to use TypeScript to build amazing applications will benefit from this book. What You Will Learn ? Design your first project in Visual Studio ? Learn about the different data types in TypeScript ? Create web applications in an object-oriented fashion using TypeScript ? Build a Trello application using TypeScript's complex features. ? Explore the tools available in a web application ecosystem to write unit test cases ? Deploy web applications to cloud and assign resources to the application In Detail The TypeScript language, compiler, and open source development toolset brings JavaScript development up to the enterprise level. It allows you to use ES5, ES6, and ES7 JavaScript language features today, including classes, interfaces, generics, modules, and more. Its simple typing syntax enables building large, robust applications using object-oriented techniques and industry-standard design principles. This book aims at teaching you how to get up and running with TypeScript development in the most practical way possible. Taking you through two exciting projects built from scratch, you will learn the basics of TypeScript, before progressing to functions, generics, promises, and callbacks. Then, you’ll get to implement object-oriented programming as well as optimize your applications with effective memory management. You’ll also learn to test and secure your applications, before deploying them. Starting with a basic SPA built using Angular, you will progress on to building, maybe, a Chat application or a cool application. You’ll also learn how to use NativeScript to build a cool mobile application. Each of these applications with be explained in detail, allowing you to grasp the concepts fast. By the end of this book, you will have not only built two amazing projects but you will also have the skills necessary to take your development to the next level. Style and approach Example-based approach to get you quickly started with Type*

Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform About This Book ? Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool ? Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions ? Includes real-world examples to put your understanding of the features in Alteryx to practical use Who This Book Is For This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book. What You Will Learn ? Create efficient workflows with Alteryx to answer complex business questions ? Learn how to speed up the cleansing, data preparing, and shaping process ? Blend and join data into a single dataset for self-service analysis ? Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data ? Develop high-quality, data-driven reports to improve consistency in reporting and analysis ? Explore the flexibility of macros by automating analytic processes ? Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule ? Share your workflows and insights with relevant stakeholders In Detail Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx’s features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx’s self-service analytics features, this book will be the perfect companion for you. Style and approach Comprehensive, step by step guide filled with real-world examples to step through the complex business questions using one of the leading data analytics platform.

A comprehensive guide to learning Cacti and using it to implement performance measurement and reporting within a Network Operations Center About This Book ? A complete Cacti book that focuses on the basics as well as the advanced concepts you need to know for implementing a Network Operations Center ? A step-by-step Beginner's Guide with detailed instructions on how to create and implement custom plugins ? Written by Thomas Urban – creator of the "Cereus" and "NMID" plugins for Cacti known as Phalek in the Cacti forum Who This Book Is For If you are a network operator and want to use Cacti for implementing performance measurement for trending, troubleshooting, and reporting purposes, then this book is for you. You only need to know the basics of network management and SNMP. What You Will Learn ? Setting up Cacti on Linux and Windows systems ? Extending the core functionality by using the plugin architecture ? Building your own custom plugins ? Creating your own custom data input method to retrieve data from your systems ? Using SNMP, SSH, and WMI to retrieve remote performance data ? Designing and create enterprise-class reports with the reporting plugins ? Implementing threshold-based alerting using the Thold plugin ? Automating common administrative tasks utilizing the command-line interface and the automate functionality ? Migrating Cacti to new servers ? Building a multi remote-poller environment In Detail Cacti is a performance measurement tool that provides easy methods and functions for gathering and graphing system data. You can use Cacti to develop a robust event management system that can alert on just about anything you would like it to. But to do that, you need to gain a solid understanding of the basics of Cacti, its plugin architecture, and automation concepts. Cacti Beginner's Guide will introduce you to the wide variety of features of Cacti and will guide you on how to use them for maximum effectiveness. Advanced topics such as the plugin architecture and Cacti automation using the command-line interface will help you build a professional performance measurement system. Designed as a beginner's guide, the book starts off with the basics of installing and using Cacti, and also covers the advanced topics that will show you how to customize and extend the core Cacti functionalities. The book offers essential tutorials for creating advanced graphs and using plugins to create enterprise-class reports to show your customers and colleagues. From data templates to input methods and plugin installation to creating your own customized plugins, this book provides you with a rich selection of step-by-step instructions to reach your goals. It covers all you need to know to implement professional performance measurement techniques with Cacti and ways to fully customize Cacti to fit your needs. You will also learn how to migrate Cacti to new servers. Lastly you will also be introduced to the latest feature of building a scalable remote poller environment. By the end of the book, you will be able to implement and extend Cacti to monitor, display, and report the performance of your network exactly the way you want. Style and approach Written for beginners to Cacti, this book contains step-by-step instructions and hands-on tutorials for network operators to learn how to implement and use the core Cacti functions.

Explore the necessary concepts of REST API development by building few real world services from scratch. About This Book ? Follow best practices and explore techniques such as clustering and caching to achieve a reactive, scalable web service ? Leverage the Buffalo Framework to quickly implement RESTful endpoints ? Learn to implement a client library for a RESTful web service using Go Who This Book Is For This book is intended for those who want to learn to build RESTful web services with a framework like Buffalo. To make best use of the code samples included in the book, you should have a basic knowledge of Go programming. What You Will Learn ? Create HTTP handler and introspect the Gorilla Mux router ? OAuth 2 implementation with Go ? Build RESTFul API with go-restful, Revel.Go and Buffalo Go ? Create REST API with MongoDB and Go ? Build a working client library and unit test for REST API ? Debug, test, and profile RESTful APIs with each of the frameworks ? Optimize and scale REST API using microservices In Detail REST is an architectural style that tackles the challenges of building scalable web services and in today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs. The depth, breadth, and ease of use of Go, makes it a breeze for developers to work with it to build robust Web APIs. This book takes you through the design of RESTful web services and leverages a framework like Buffalo Go to implement these services. The book starts with a brief introduction to REST API development and how it transformed the modern web. You will learn how to handle routing and authentication of web services along with working with middleware for internal service. The book explains how to use Go frameworks to build RESTful web services and work with MongoDB to create REST API. You will learn how to integrate Postgres SQL and JSON with a Go web service and build a client library in Go for consuming REST API. You will learn how to scale APIs using the microservice architecture and deploy the REST APIs using Nginx as a proxy server. Finally you will learn how to metricize a REST API using an API Gateway. By the end of the book you will be proficient in building RESTful APIs in Go. Style and approach This book is a step-by-step, hands-on guide to designing and building RESTful web services.

Scale gracefully and maintain outstanding performance with your AWS-based infrastructure using DevOps principles About This Book ? Implement DevOps principles to take full advantage of the AWS stack and services ? Take expert look at solving problems faced by real developers and operation teams and learn to overcome them ? Learn from expert insights of the author who has worked with Silicon Valley’s most high-profile companies Who This Book Is For This book is for developers, DevOps engineers and teams who want to build and use AWS for their software infrastructure. Basic computer science knowledge is required for this book. What You Will Learn ? Find out what it means to practice DevOps and what its principles are ? Build repeatable infrastructures using templates and configuration management ? Deploy multiple times a day by implementing continuous integration and continuous deployment pipelines ? Use the latest technologies, including containers and serverless computing, to scale your infrastructure ? Collect metrics and logs and implement an alerting strategy ? Make your system robust and secure In Detail The DevOps movement has transformed the way modern tech companies work. AWS which has been on the forefront of the Cloud computing revolution has also been a key contributor of this DevOps movement creating a huge range of managed services that help you implement the DevOps principles. In this book, you’ll see how the most successful tech start-ups launch and scale their services on AWS and how you can too. Written by a lead member of Mediums DevOps team, this book explains how to treat infrastructure as code, meaning you can bring resources online and offline as necessary with the code as easily as you control your software. You will also build a continuous integration and continuous deployment pipeline to keep your app up to date. You’ll find out how to scale your applications to offer maximum performance to users anywhere in the world, even when traffic spikes with the latest technologies, such as containers and serverless computing. You will also take a deep dive into monitoring and alerting to make sure your users have the best experience when using your service. Finally, you’ll get to grips with ensuring the security of your platform and data. Style and approach This is a practical, hands-on, comprehensive guide to AWS, helping readers understand AWS in a step by step manner.

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly Key Features * Explore popular machine learning and deep learning services with their underlying algorithms * Discover readily available artificial intelligence(AI) APIs on AWS like Vision and Language Services * Design robust architectures to enable experimentation, extensibility, and maintainability of AI apps Book Description From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS. With this book, you’ll work through hands-on exercises and learn to use these services to solve real-world problems. You’ll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You’ll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you’ll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you’ll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle. What you will learn * Gain useful insights into different machine and deep learning models * Build and deploy robust deep learning systems to production * Train machine and deep learning models with diverse infrastructure specifications * Scale AI apps without dealing with the complexity of managing the underlying infrastructure * Monitor and Manage AI experiments efficiently * Create AI apps using AWS pre-trained AI services Who this book is for This book is for data scientists, machine learning developers, deep learning researchers, and artificial intelligence enthusiasts who want to harness the power of AWS to implement powerful artificial intelligence solutions. A basic understanding of machine learning concepts is expected.

Create your own augmented reality games from scratch with Unity 5 About This Book Create your own augmented reality game from scratch and join the virtual reality gaming revolution Use the latest Unity 5 VR SDK to create pro-level AR games like Pokémon Go Innovate and explore the latest and most promising trend of AR gaming in the mobile gaming industry Who This Book Is For This book is for those who have a basic knowledge of game development techniques, but no previous knowledge of Unity is required. Some basic programming knowledge would be desirable, but the book is an introduction to the topic. The book is also suitable for experienced developers new to GIS or GPS development. What You Will Learn Build a location-based augmented reality game called Foodie Go Animate a player’s avatar on a map Use the mobile device’s camera as a game background Implement database persistence with SQLLite4Unity3D to carry inventory items across game sessions Create basic UI elements for the game, inventory, menu, and settings Perform location and content searches against the Google Places API Enhance the game’s mood by adding visual shader effects Extend the game by adding multiplayer networking and other enhancements In Detail The heyday of location-based augmented reality games is upon us. They have been around for a few years, but the release of Pokémon Go was a gamechanger that catalyzed the market and led to a massive surge in demand. Now is the time for novice and experienced developers alike to turn their good ideas into augmented reality (AR) mobile games and meet this demand! If you are keen to develop virtual reality games with the latest Unity 5 toolkit, then this is the book for you. The genre of location-based AR games introduces a new platform and technical challenges, but this book will help simplify those challenges and show how to maximize your game audience. This book will take you on a journey through building a location-based AR game that addresses the core technical concepts: GIS fundamentals, mobile device GPS, mapping, map textures in Unity, mobile device camera, camera textures in Unity, accessing location-based services, and other useful Unity tips. The technical material also discusses what is necessary for further development to create a multiplayer version of the game. At the end, you will be presented with troubleshooting techniques in case you get into trouble and need a little help. Style and approach This book shows you how to create every step of the game and gives practical examples.

Create complex and visually stunning games using all the advanced features available in SFML development About This Book Build custom tools, designed to work with your specific game. Use raw modern OpenGL and go beyond SFML. Revamp your code for better structural design, faster rendering, and flashier graphics. Use advanced lighting techniques to add that extra touch of sophistication. Implement a very fast and efficient particle system by using a cache-friendly design. Who This Book Is For This book is ideal for game developers who have some basic knowledge of SFML and also are familiar with C++ coding in general. No knowledge of OpenGL or even more advanced rendering techniques is required. You will be guided through every bit of code step by step. What You Will Learn Dive deep into creating complex and visually stunning games using SFML, as well as advanced OpenGL rendering and shading techniques Build an advanced, dynamic lighting and shadowing system to add an extra graphical kick to your games and make them feel a lot more dynamic Craft your own custom tools for editing game media, such as maps, and speed up the process of content creation Optimize your code to make it blazing fast and robust for the users, even with visually demanding scenes Get a complete grip on the best practices and industry grade game development design patterns used for AAA projects In Detail SFML is a cross-platform software development library written in C++ with bindings available for many programming languages. It provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. This book will help you become an expert of SFML by using all of its features to its full potential. It begins by going over some of the foundational code necessary in order to make our RPG project run. By the end of chapter 3, we will have successfully picked up and deployed a fast and efficient particle system that makes the game look much more ‘alive’. Throughout the next couple of chapters, you will be successfully editing the game maps with ease, all thanks to the custom tools we’re going to be building. From this point on, it’s all about making the game look good. After being introduced to the use of shaders and raw OpenGL, you will be guided through implementing dynamic scene lighting, the use of normal and specular maps, and dynamic soft shadows. However, no project is complete without being optimized first. The very last chapter will wrap up our project by making it lightning fast and efficient. Style and approach This book uses a step by step approach by breaking the problems down into smaller, much more manageable obstacles, and guiding the reader through them with verified, flexible, and autonomous solutions.

Learn how to build amazing and complex reactive web applications easily with Vue.js About This Book Learn how to propagate DOM changes across the website without writing extensive jQuery callbacks code. Learn how to achieve reactivity and easily compose views with Vue.js and understand what it does behind the scenes. Explore the core features of Vue.js with small examples, learn how to build dynamic content into preexisting web applications, and build Vue.js applications from scratch. Who This Book Is For This book is perfect for novice web developer seeking to learn new technologies or frameworks and also for webdev gurus eager to enrich their experience. Whatever your level of expertise, this book is a great introduction to the wonderful world of reactive web apps. What You Will Learn Build a fully functioning reactive web application in Vue.js from scratch. The importance of the MVVM architecture and how Vue.js compares with other frameworks such as Angular.js and React.js. How to bring reactivity to an existing static application using Vue.js. How to use plugins to enrich your applications. How to develop customized plugins to meet your needs. How to use Vuex to manage global application’s state. In Detail Vue.js is one of the latest new frameworks to have piqued the interest of web developers due to its reactivity, reusable components, and ease of use. This book shows developers how to leverage its features to build high-performing, reactive web interfaces with Vue.js. From the initial structuring to full deployment, this book provides step-by-step guidance to developing an interactive web interface from scratch with Vue.js. You will start by building a simple application in Vue.js which will let you observe its features in action. Delving into more complex concepts, you will learn about reactive data binding, reusable components, plugins, filters, and state management with Vuex. This book will also teach you how to bring reactivity to an existing static application using Vue.js. By the time you finish this book you will have built, tested, and deployed a complete reactive application in Vue.js from scratch. Style and approach This book is a thorough, step-by-step guide showing readers how to build complete web apps with Vue.js. While teaching its intricacies, this book shows how to implement the MVVM architecture in the real world and build high-performing web interfaces.

Deep dive into C# and .NET architecture to build efficient, powerful applications About This Book Uniquely structured content to help you understand what goes on under the hood of .NET’s managed code platform to master .NET programming Deep dive into C# programming and how the code executes via the CLR Packed with hands-on practical examples, you’ll understand how to write applications to make full use of the new features of .NET 4.6, .NET Core and C# 6/7 Who This Book Is For This book was written exclusively for .NET developers. If you’ve been creating C# applications for your clients, at work or at home, this book will help you develop the skills you need to create modern, powerful, and efficient applications in C#. No knowledge of C# 6/7 or .NET 4.6 is needed to follow along—all the latest features are included to help you start writing cross-platform applications immediately. You will need to be familiar with Visual Studio, though all the new features in Visual Studio 2015 will also be covered. What You Will Learn Understand C# core concepts in depth, from sorting algorithms to the Big O notation Get up to speed with the latest changes in C# 6/7 Interface SQL Server and NoSQL databases with .NET Apprehend SOLID principles and the most relevant GoF Patterns with practical examples in C# 6.0 Defend C# applications against attacks Use Roslyn, a self-hosted framework to compile and advanced edition in both C# and Visual basic .NET languages Discern LINQ and associated Lambda expressions, generics, and delegates Design a .NET application from the ground up Understand the internals of a .NET assembly Grasp some useful advanced features in optimization and parallelism In Detail Mastering C# and .NET Framework will take you in to the depths of C# 6.0/7.0 and .NET 4.6, so you can understand how the platform works when it runs your code, and how you can use this knowledge to write efficient applications. Take full advantage of the new revolution in .NET development, including open source status and cross-platform capability, and get to grips with the architectural changes of CoreCLR. Start with how the CLR executes code, and discover the niche and advanced aspects of C# programming – from delegates and generics, through to asynchronous programming. Run through new forms of type declarations and assignments, source code callers, static using syntax, auto-property initializers, dictionary initializers, null conditional operators, and many others. Then unlock the true potential of the .NET platform. Learn how to write OWASP-compliant applications, how to properly implement design patterns in C#, and how to follow the general SOLID principles and its implementations in C# code. We finish by focusing on tips and tricks that you'll need to get the most from C# and .NET. This book also covers .NET Core 1.1 concepts as per the latest RTM release in the last chapter. Style and approach This book uses hands-on practical code examples that will take you into the depths of C# and .NET. Packed with hands-on practical examples, it is great as a tutorial, or as a reference guide.

Over 31 simple yet incredibly effective recipes for installing and managing System Center 2016 Endpoint Protection About This Book This is the most practical and up-to-date book covering important new features of System Center 2016 Endpoint protection Gain confidence in managing IT and protecting your server against malware and other threats Configure and automate reporting features and also prepare yourself for a simple and pain-free migration process Who This Book Is For If you are a System Administrator or Engineer using System Center 2016 Endpoint Protection, then this book is for you. You should have a good background with Microsoft products in general, although no knowledge of Endpoint Protection is required. What You Will Learn Explore the best practices for Endpoint Protection in System Center Configuration Manager Provision the Endpoint Protection Client in a Disk Image in Configuration Manager Get to know more about the Security Center Configure definition and engine client updates to be optimum for your bandwidth Make your application or server work with Endpoint Protection enabled Find out how to deal with typical issues that may occur with Endpoint Protection Know how to respond to infections that often occur In Detail System Center Configuration Manager is now used by over 70% of all the business in the world today and many have taken advantage engaging the System Center Endpoint Protection within that great product. Through this book, you will gain knowledge about System Center Endpoint Protection, and see how to work with it from System Center Configuration Manager from an objective perspective. We’ll show you several tips, tricks, and recipes to not only help you understand and resolve your daily challenges, but hopefully enhance the security level of your business. Different scenarios will be covered, such as planning and setting up Endpoint Protection, daily operations and maintenance tips, configuring Endpoint Protection for different servers and applications, as well as workstation computers. You’ll also see how to deal with malware and infected systems that are discovered. You’ll find out how perform OS deployment, Bitlocker, and Applocker, and discover what to do if there is an attack or outbreak. You’ll find out how to ensure good control and reporting, and great defense against threats and malware software. You’ll see the huge benefits when dealing with application deployments, and get to grips with OS deployments, software updates, and disk encryption such as Bitlocker. By the end, you will be fully aware of the benefits of the System Center 2016 Endpoint Protection anti-malware product, ready to ensure your business is watertight against any threat you could face. Style and approach Build robust SCEP and AV policies and discover the new potential of exciting new features of SCEP 2016.

Bring the best out of DevOps and build, deploy, and maintain applications on AWS About This Book Work through practical examples and gain DevOps best practices to successfully deploy applications on AWS Successfully provision and operate distributed application systems and your AWS infrastructure using DevOps Perform Continuous Integration and deployment and fine-tune the way you deliver on AWS Who This Book Is For This book is for system administrators and developers who manage AWS infrastructure and environments and are planning to implement DevOps in their organizations. Those aiming for the AWS Certified DevOps Engineer certification will also find this book useful. Prior experience of operating and managing AWS environments is expected. What You Will Learn See the difference between Object Oriented Programming and Protocol Oriented Programming See the difference between reference and value types and when to use each Find out how we can leverage the tuple to reduce the complexity of our code Discover what protocols are and how to use them See how to implement protocol extensions to create a very flexible code base Learn how to implement several design patterns in a Protocol-Oriented approach Learn how to solve real-world design issues with protocol-oriented programming In Detail Knowing how to adopt DevOps in your organization is becoming an increasingly important skill for developers, whether you work for a start-up, an SMB, or an enterprise. This book will help you to drastically reduce the amount of time spent on development and increase the reliability of your software deployments on AWS using popular DevOps methods of automation. To start, you will get familiar with the concept of IaC and will learn to design, deploy, and maintain AWS infrastructure. Further on, you’ll see how to design and deploy a Continuous Integration platform on AWS using either open source or AWS provided tools/services. Following on from the delivery part of the process, you will learn how to deploy a newly created, tested, and verified artefact to the AWS infrastructure without manual intervention. You will then find out what to consider in order to make the implementation of Configuration Management easier and more effective. Toward the end, you will get to know the tricks and tips to optimize and secure your AWS environment. By the end of the book, you will have mastered the art of applying AWS to DevOps in your organization Style and approach This book is packed full of real-world examples demonstrating use cases that help you deploy DevOps best practices on AWS.

Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book Use Apache Spark for data processing with these hands-on recipes Implement end-to-end, large-scale data analysis better than ever before Work with powerful libraries such as MLLib, SciPy, NumPy, and Pandas to gain insights from your data Who This Book Is For This book is for novice and intermediate level data science professionals and data analysts who want to solve data science problems with a distributed computing framework. Basic experience with data science implementation tasks is expected. Data science professionals looking to skill up and gain an edge in the field will find this book helpful. What You Will Learn Explore the topics of data mining, text mining, Natural Language Processing, information retrieval, and machine learning. Solve real-world analytical problems with large data sets. Address data science challenges with analytical tools on a distributed system like Spark (apt for iterative algorithms), which offers in-memory processing and more flexibility for data analysis at scale. Get hands-on experience with algorithms like Classification, regression, and recommendation on real datasets using Spark MLLib package. Learn about numerical and scientific computing using NumPy and SciPy on Spark. Use Predictive Model Markup Language (PMML) in Spark for statistical data mining models. In Detail Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark’s selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease. This guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark’s data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work. Style and approach This book contains a comprehensive range of recipes designed to help you learn the fundamentals and tackle the difficulties of data science. This book outlines practical steps to produce powerful insights into Big Data through a recipe-based approach.

Change the way your organization deploys software at scale with this face paced guide to the world of Docker About This Book Cut through the noise and in simple terms learn to package your applications and test, ship, and scale your containers Find and build images and successfully run your programs within containers Build, deploy, and test your Docker containers and put them to work in production Who This Book Is For This book is for IT professionals, system administrators, and DevOps professionals or anyone looking to quickly develop and deploy software to production at scale. If you are interested in Docker, DevOps, or containers in general, don’t look any further. What You Will Learn Understand Docker’s architecture Build, ship, and run distributed applications Deploy, automate, and manage the execution of applications within Docker Scale and virtualize images and containers Utilize the networking features that Docker offers Use repositories to store and retrieve images In Detail This fast-paced practical guide will get you up and running with Docker. Using Docker, you will be able to build, ship, and run many distributed applications in real time. You will start with quickly installing Docker and start working with images and containers. We will present different types of containers and their applications, and show you how to find and build images. You will learn how you can contribute to the image repository by publishing different images. This will familiarize you with the image building process and you will be able to successfully run your programs within containers. By finishing this book, you will be well equipped in deploying your applications using Docker and will have a clear understanding of concepts, techniques, and practical methods to get it running in production systems. Style and approach This book takes a fast-paced practical approach that quickly gets you up and running with Docker so that you spend less time learning and more time deploying Docker containers effectively. This book contains a mix of concepts, practical examples, techniques, and the most up-to-date content to run things effectively in production. We’ll show you the easiest way to speed up your development and deployment with Docker.

Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book Moving from object-oriented programming to functional programmingThis book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming. Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional settingWon’t we end up copying too muchDo we trade performance for versioned data structuresThis book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you’ll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency. By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.

Develop your real-time MEAN application efficiently using a combination of MongoDB, Express, Angular, and Node About This Book Construct a fully-functional MEAN application by using its components along with the best third-party modules Harness the power of the JavaScript ecosystem to effectively run, build, and test your MEAN application Gain a deep, practical understanding of real-time web application development through real-world examples Who This Book Is For If you are a JavaScript developer who is interested in building modern web applications using MongoDB, Express, Angular 2, and Node 5.0, then this book is for you. You only need knowledge of JavaScript development. What You Will Learn Use MongoDB to store and retrieve your application's data Connect your Express application to MongoDB and use the Mongoose module Manage your users' authentication and offer them diverse login options using Passport Structure and use an Angular 2 application in your MEAN project Use Socket.io to create real-time communication between your client and server Test your application's Express and Angular 2 entities In Detail The MEAN stack is a collection of the most popular modern tools for web development that helps you build fast, robust, and maintainable web applications. Starting with the MEAN core frameworks, this pragmatic guide will explain the key concepts of each framework, how to set them up properly, and how to use popular modules to connect it all together. By following the real-world examples shown in this tutorial, you will scaffold your MEAN application architecture, add an authentication layer, and develop an MVC structure to support your project development. You will learn the best practices of maintaining clear and simple code and will see how to avoid common pitfalls. Finally, you will walk through the different tools and frameworks that will help expedite your daily development cycles. Watch how your application development grows by learning from the only guide that is solely orientated towards building a full, end-to-end, real-time application using the MEAN stack! Style and approach This comprehensive guide covers every part of the MEAN stack, and focuses on the gestalt power of the apps they can create through practical, real-world examples

A comprehensive and in-depth guide to writing functional programs using F# About This Book Learn how to manage, run, and automate your servers using Puppet Explore how to use F# to develop large-scale applications quickly and simply, and become more productive in today’s age of cloud computing and multi-core programming This easy-to-follow guide is packed with real-world examples that will jump-start you with F# development on the .NET platform Who This Book Is For If you are a C# developer with a basic knowledge of F# and want to explore the functional programming paradigm further to master your F# skills, then this book is for you. What You Will Learn Understand the basics of F# and organize F# source code with Visual Studio Work with F# data structures and create functional data structures in F# interoperate with C# Build and use asynchronous programming patterns with F# Create and use type providers that help perform data analysis from within Visual Studio Develop applications with pure F# code in WPF or ASP.NET MVC Find out how to perform distributed programming with ServiceBus or ZeroMQ Visualize data with charts, and work with Excel and R language Type providers In Detail F# is a multi-paradigm programming language that encompasses object-oriented, imperative, and functional programming language properties. Now adopted in a wide range of application areas and is supported both by industry-leading companies who provide professional tools and by an active open community, F# is rapidly gaining popularity as it emerges in digital music advertising, creating music-focused ads for Spotify, Pandora, Shazam, and anywhere on the web. This book will guide you through the basics and will then help you master F#. The book starts by explaining how to use F# with Visual Studio, file ordering, and the differences between F# and C# in terms of usage. It moves on to explain the functional core of F# such as data types, type declarations, immutability, strong type interference, pattern matching, records, F# data structures, sequence expressions, and lazy evaluation. Next, the book takes you through imperative and asynchronous programming, F# type providers, applications, and testing in F#. Finally, we look into using F# with distributed programming and using F# as a suitable language for data science. In short, this book will help you learn F# for real-world applications and increase your productivity with functional programming. Style and approach This easy-to-follow guide with syntaxes will help you master the concepts of F#. Packed with in-depth examples of real-world uses, this book covers each topic in detail with a reference to C#, so you will understand the difference between the languages.

Over 70 recipes for system administrators or DevOps to master Kali Linux 2 and perform effective security assessments About This Book ?Set up a penetration testing lab to conduct a preliminary assessment of attack surfaces and run exploits ?Improve your testing efficiency with the use of automated vulnerability scanners ?Work through step-by-step recipes to detect a wide array of vulnerabilities, exploit them to analyze their consequences, and identify security anomalies Who This Book Is For This book is intended for those who want to know more about information security. In particular, it's ideal for system administrators and system architects who want to ensure that the infrastructure and systems they are creating and managing are secure. This book helps both beginners and intermediates by allowing them to use it as a reference book and to gain in-depth knowledge. What You Will Learn ?Understand the importance of security assessments over merely setting up and managing systems/processes ?Familiarize yourself with tools such as OPENVAS to locate system and network vulnerabilities ?Discover multiple solutions to escalate privileges on a compromised machine ?Identify security anomalies in order to make your infrastructure secure and further strengthen it ?Acquire the skills to prevent infrastructure and application vulnerabilities ?Exploit vulnerabilities that require a complex setup with the help of Metasploit In Detail With the increasing threats of breaches and attacks on critical infrastructure, system administrators and architects can use Kali Linux 2.0 to