C# 7 and .NET Core Cookbook (Packt)
Wednesday, 30 August 2017

This book offers solution to some common programming problems that you come across with the recently open-sourced C# and will also help you get started with .NET Core 1.1. Dirk Strauss takes a recipe-based approach, starting with a run through of new features in C# 7, such as tuples and  pattern matching. He then moves on to look at generics and the OOP features in C# before tackling more advanced topics, such as reactive extensions, Regex, code analyzers, and asynchronous programming.

<ASIN:1787286274>

The book also covers cross-platform .NET Core 1.1 features and looks at using .NET Core on macOS. Microservices, serverless computing, and the use of Visual Studio 2017 for mobile application development across multiple platforms are all covered.

Author: Dirk Strauss
Publisher: Packt
Date: April 2017
Pages: 628
ISBN: 978-1787286276
Print: 1787286274
Kindle: B01N6QN9ZD
Audience: C# programmers
Level: Intermediate
Category: C#  

 

 

  • Write better and less code to achieve the same result as in previous versions of C#
  • Wori with analyzers in Visual Studio
  • Work with files, streams, and serialization
  • Write high-performant code in C# and understanding multi-threading
  • Demystify the Rx library using Reactive extensions
  • Explore .Net Core 1.1 and ASP.NET MVC
  • Secure your applications and learn new debugging techniques
  • Design and build a microservice architecture
  • Use Azure and AWS for serverless computing with C#

 

For recommendations of C# books see C# Books - Pick of the Shelf Revisited in our Programmer's Bookshelf section.

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Teach Yourself Java in 21 Days, 8th Ed (Sams)

Author:  Rogers Cadenhead
Publisher: Sams
Pages: 672
ISBN:  978-0672337956
Print: 0672337959
Kindle:B082J486LS
Audience: Beginning Java Programmers
Rating: 4
Reviewer: Mike James
Java! Its still more than relevant and at edition 8 this must be a classic?



TinyML: Machine Learning with TensorFlow Lite

Authors: Pete Warden and Daniel Situnayake
Publisher: O'Reilly
Date: December 2019
Pages: 504
ISBN: 978-1492052043
Print: 1492052043
Kindle: B082TY3SX7
Audience: Developers interested in machine learning
Rating: 5, but see reservations
Reviewer: Harry Fairhead
Can such small machines really do ML?


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