Developers of C# applications with a SQL Server database can learn to connect to a database using classic ADO.NET and look at different methods of developing databases using the Entity Framework. Sander Rossel will take readers through common pitfalls, why databases run slowly, how to troubleshoot performance issues, and how to test and deploy SQL Server databases. The first half of SQL Server for C# Developers Succinctly has a focus on C# and development while the second half focuses on troubleshooting using the SQL Server tools.
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In Customer Success for C# Developers Succinctly, author Ed Freitas frames software developers as an essential part of providing exemplary customer service, whether they’re part of helpdesk staff or experienced team leaders. By looking at how traditional helpdesks are oriented and the resulting behaviors, Freitas proposes a different approach that transforms customer support from a required, yet often neglected department, to one that can generate recurring and new business for your company.
Capturing and extracting information is one of the most important tasks a developer can perform, and making this task more engaging without relying entirely on specialized tools is an efficient way to improve productivity. In Data Capture and Extraction with C# Succinctly, author Ed Freitas guides readers towards getting more out of C# in minimal time.
Object-oriented programming is the de facto programming paradigm for many programming languages. Object-Oriented Programming in C# Succinctly provides an introduction to OOP for C# developers. Author Sander Rossel provides overviews and numerous samples to guide readers towards OOP mastery.
Creating Mobile Apps with Xamarin.Forms: Cross-platform C# programming for iOS, Android, and Windows. is for C# programmers who want to write applications using a single code base that targets the three most popular mobile platforms: iOS, Android, and Windows, encompassing the Universal Windows Platform and Windows Phone. This is the third version of this book and the first two versions were Preview Editions.
C# is a general purpose, object-oriented, component-based programming language. As a general purpose language, there are a number of ways to apply C# to accomplish many different tasks. You can build web applications with ASP.NET, desktop applications with Windows Presentation Foundation, or build mobile applications for Windows Phone. Other applications include code that runs in the cloud via Windows Azure, and iOS, Android, and Windows Phone support with the Xamarin platform. With C# Succinctly by Joe Mayo, you will quickly learn the syntax you need to build your own C# applications.
This second Preview Edition ebook, now with 16 chapters, is about writing applications for Xamarin.Forms, the new mobile development platform for iOS, Android, and Windows phones unveiled by Xamarin in May 2014. Xamarin.Forms lets you write shared user-interface code in C# and XAML that maps to native controls on these three platforms.
In Machine Learning Using C# Succinctly, you’ll learn several different approaches to applying machine learning to data analysis and prediction problems. Author James McCaffrey demonstrates different clustering and classification techniques, and explains the many decisions that must be made during development that determine how effective these techniques can be.
This is a preview edition of Creating Mobile Apps with Xamarin.Forms, a book about writing applications for Xamarin.Forms, the exciting new mobile development platform for iOS, Android, and Windows Phone unveiled by Xamarin in May 2014. Xamarin.Forms lets you write shared user-interface code in C# and XAML (the eXtensible Application Markup Language) that maps to native controls on these three platforms.
With Neural Networks Using C# Succinctly by James McCaffrey, you’ll learn how to create your own neural network to solve classification problems, or problems where the outcomes can only be one of several values. Learn how to encode and normalize qualitative data into numeric data a neural network can use, different activation functions and when to use them, and ultimately how to train a neural network to find weights and bias values that provide accurate predictions.