Mastering Asp Net Core 1 0


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Mastering ASP. NET Core 1. 0


Mastering ASP. NET Core 1. 0

Author: Mitchel Sellers

language: en

Publisher:

Release Date: 2017-03-31


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Build powerful and professional web applications with ASP.NET MVC 6About This Book* Grasp the advanced concepts of ASP.NET MVC 6 and start making professional-grade applications* Integrate Angular2 and Bootstrap with your applications and make them stand out* Get going with the next steps of MVC with ASP.NET Web API and building a Single Page Application (SPA) using Angular2 so you can stay ahead of your competitorsWho This Book Is ForIf you are developer who knows the basics of ASP.NET MVC and wants to build powerful applications, this book is for you. You should have basic C# experience with an understanding of HTML and CSS. You should also know your way around Visual Studio and related functionalities.What You Will Learn* Build a project with ASP.NET MVC Core* Create complex UI layouts and Models/ViewModels* Implement dependency injection into applications including core ASP.NET concepts* Develop an application using Visual Studio code* Use the Bootstrap framework to create interfaces* Generate bundled CSS and JS packages* Design complex and complete APIs* Leverage the caching frameworks provided by .NET runtimesIn DetailWith the recent changes in ASP.NET 4.6, ASP.NET Core comes with embedded features that include Web API and MVC. ASP.NET Core 1.0 is a new beginning and a fork in the road, while ASP.NET 4.6 continues on. Mastering ASP.NET Core 1.0 will help you transition from legacy MVC applications to the new ASP.NET Core framework.We will start with a brief overview of the basics to ensure you have a good foundational knowledge to start the book. We will follow this with the advanced content, and change an MVC application from basic to professional, specifically routing and advanced routing options, model binding, controllers and actions, filters, user authentication, testing, and deployment.You will learn about all aspects of the syntax and processes when working with Razor. We will also introduce a third-party framework such as Bootstrap to give the application a facelift. We will also explore how to build a SPA with ASP.NET Web API and AngularJS.By the end of the book, you will be well versed with development in ASP.NET MVC and will have a deep understanding of how to interact with the framework and work in a cross-platform manner.

Mastering .NET Machine Learning


Mastering .NET Machine Learning

Author: Jamie Dixon

language: en

Publisher: Packt Publishing Ltd

Release Date: 2016-03-29


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Master the art of machine learning with .NET and gain insight into real-world applications About This Book Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0 Set up your business application to start using machine learning techniques Familiarize the user with some of the more common .NET libraries for machine learning Implement several common machine learning techniques Evaluate, optimize and adjust machine learning models Who This Book Is For This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required. What You Will Learn Write your own machine learning applications and experiments using the latest .NET framework, including .NET Core 1.0 Set up your business application to start using machine learning. Accurately predict the future using regressions. Discover hidden patterns using decision trees. Acquire, prepare, and combine datasets to drive insights. Optimize business throughput using Bayes Classifier. Discover (more) hidden patterns using KNN and Naive Bayes. Discover (even more) hidden patterns using K-Means and PCA. Use Neural Networks to improve business decision making while using the latest ASP.NET technologies. Explore “Big Data”, distributed computing, and how to deploy machine learning models to IoT devices – making machines self-learning and adapting Along the way, learn about Open Data, Bing maps, and MBrace In Detail .Net is one of the widely used platforms for developing applications. With the meteoric rise of Machine learning, developers are now keen on finding out how can they make their .Net applications smarter. Also, .NET developers are interested into moving into the world of devices and how to apply machine learning techniques to, well, machines. This book is packed with real-world examples to easily use machine learning techniques in your business applications. You will begin with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model using an example which predicts sales of a product. Forming a base with the regression model, you will start using machine learning libraries available in .NET framework such as Math.NET, Numl.NET and Accord.NET with the help of a sample application. You will then move on to writing multiple linear regressions and logistic regressions. You will learn what is open data and the awesomeness of type providers. Next, you are going to address some of the issues that we have been glossing over so far and take a deep dive into obtaining, cleaning, and organizing our data. You will compare the utility of building a KNN and Naive Bayes model to achieve best possible results. Implementation of Kmeans and PCA using Accord.NET and Numl.NET libraries is covered with the help of an example application. We will then look at many of issues confronting creating real-world machine learning models like overfitting and how to combat them using confusion matrixes, scaling, normalization, and feature selection. You will now enter into the world of Neural Networks and move your line of business application to a hybrid scientific application. After you have covered all the above machine learning models, you will see how to deal with very large datasets using MBrace and how to deploy machine learning models to Internet of Thing (IoT) devices so that the machine can learn and adapt on the fly Style and approach This book will guide you in learning everything about how to tackle the flood of data being encountered these days in your .NET applications with the help of popular machine learning libraries offered by the .NET framework.

Mastering ASP.NET Web API


Mastering ASP.NET Web API

Author: Mithun Pattankar

language: en

Publisher: Packt Publishing Ltd

Release Date: 2017-08-11


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Leverage ASP.Net Web API to build professional web services and create powerful applications. About This Book Get a comprehensive analysis of the latest specification of ASP.NET Core and all the changes to the underlying platform that you need to know to make the most of the web API See an advanced coverage of ASP.NET Core Web API to create robust models for your data, create controllers, and handle routing and security This book is packed with key theoretical and practical concepts that can be instantly applied to build professional applications using API with Angular 4, Ionic, and React Who This Book Is For This book is for .Net developers who wants to Master ASP.NET Core (Web API) and have played around with previous ASP.NET Web API a little, but don't have in-depth knowledge of it. You need to know Visual Studio and C#, and have some HTML, CSS, and JavaScript knowledge. What You Will Learn Acquire conceptual and hands-on knowledge of ASP.NET Core (MVC & Web API) Learn about HTTP methods, the structure of HTTP content, internet media types, and how servers respond to HTTP requests and their associated HTTP codes Explore middleware, filters, routing, and unit testing Optimize Web API implementations Develop a secure Web API interface Deploy Web API projects to various platforms Consume your web API in front end application based on Angular 4, Bootstrap, and Ionic Implement and explore the current trends in service architecture In Detail Microsoft has unified their main web development platforms. This unification will help develop web applications using various pieces of the ASP.NET platform that can be deployed on both Windows and LINUX. With ASP.NET Core (Web API), it will become easier than ever to build secure HTTP services that can be used from any client. Mastering ASP.NET Web API starts with the building blocks of the ASP.NET Core, then gradually moves on to implementing various HTTP routing strategies in the Web API. We then focus on the key components of building applications that employ the Web API, such as Kestrel, Middleware, Filters, Logging, Security, and Entity Framework.Readers will be introduced to take the TDD approach to write test cases along with the new Visual Studio 2017 live unit testing feature. They will also be introduced to integrate with the database using ORMs. Finally, we explore how the Web API can be consumed in a browser as well as by mobile applications by utilizing Angular 4, Ionic and ReactJS. By the end of this book, you will be able to apply best practices to develop complex Web API, consume them in frontend applications and deploy these applications to a modern hosting infrastructure. Style and approach Using a hands-on approach, we cover both the conceptual as well as the technical aspects of the ASP.NET Core (Web API) framework.