Debugging is one of the most crucial parts of any software process. It helps in finding an error in the software. You have to run the code step by step to see which section of the code is responsible for the error. It is called runtime debugging. In this video, I have shared my experience of debugging a Visual Studio 2019 runtime exception "JsonReaderException: '}' is invalid after a single JSON value. Expected end of data." It's been recorded in keeping 'C# exception handling and debugging tutorial for beginners', everyone can learn from this. Like || Share || Spread || Love Make sure you subscribe to our YouTube Channel and never miss our latest video:- http://bit.ly/Kaushik-roy-chowdhury-s... Make sure you subscribe to our YouTube Channel and never miss our latest video:- http://bit.ly/Kaushik-roy-chowdhury-subscribe For more updates Follow us on:- Visit- https://kaushikroychowdhury.com Facebook- https://www.facebook.com/deveducate Twitter...
This is part 11 of the current playlist of ASP.NET Core 3.1 lecture videos. In this lecture we will: Walkthrough building the same todo list application with ASP.NET Core MVC that we built using Razor Pages (Part 10). Along the way, we shall note the difference in the approaches in building the same application in two different ways. We shall make use of the same ToDo list model and the ToDoService class. However, the additional steps of creating a suitable view model to render a view with the data we want are explained. The controller and the Category action model have been explained and the changes to the Service class (to make it more scalable) have been shown in code. The conventional and attribute routing to show the todo view have been discussed. The analogy of MVC Controller and action method with the Razor PageModel class and the Page Handler method have been brought to light. #ASPNETCORE31 #RazorPage #MVCDesignPattern #todolistappmvc #MVCController #Routing #ActionMet...
The code in the video tutorial project demonstrates the simplest ML.NET application. This application solution is based on the Microsoft document at: https://docs.microsoft.com/en-us/dotnet/machine-learning/how-does-mldotnet-work#hello-mlnet-world This example constructs a linear regression model to predict house prices using house size and price data. #machinelearning #datascience #artificialintelligence #mlnet #mlnettutorial Code: using Microsoft.ML; using Microsoft.ML.Data; using System; namespace Hello_ML.NET { class Program { public class HouseData { public float Size { get; set; } public float Price { get; set; } } public class Prediction { [ColumnName("Score")] ...
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