GDPR Support with ASP.NET Core 2.1

On May-25th, General Data Protection Regulation (GDPR) becomes active. With that many articles available on GDPR, I need to write one as well. However, this one is about ASP.NET Core. ASP.NET Core 2.1 includes built-in support to fulfill some GDPR requirements.

The ASP.NET Core 2.1 project template not only includes a privacy page, but also allows registered users to easily delete themselves, and to get all the information stored about the user.


Creating and Running the Project

All you need to do to get this support is to create a new ASP.NET Core 2.1 project and configure authentication to store user accounts in-app.

Configure Authentication

This creates a project with a privacy page (Views/Home/Privacy.cshtml) which needs to be filled with your content.

After creating the database with EF Core Migrations, the user can register, and after registration manage the account.

Register User

Using the Account Management, the user can download and delete all personal…

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First look of ML.NET: Microsoft Machine Learning framework for .Net

Neel Bhatt


Finally a Nuget package for Machine learning

I always wanted to have a Nuget package which can be plugged with a .Net application by which we can create Machine learning applications.

Microsoft has announced the Open source and Cross-platform Machine learning framework ML.NET

ML.NET first version

ML.NET is just a baby yet but it has already shown the capability of becoming a giant.

With its first version, we can perform Machine learning tasks like Classification, regression etc. Have a look here for some basic information for these ML algorithms.

Along with some basic algorithms – we can even train the model, predict using models along with other basic Machine learning tasks.

ML.NET can be extended to work with ML libraries like TensorFlow, Accord.NET, and CNTK etc.

A big picture


As you can see above, the framework can be extended to work with third-party libraries and it has some awesome…

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First steps with nullable reference types

Jon Skeet's coding blog

This blog post is effectively a log of my experience with the preview of the C# 8 nullable reference types feature.

There are lots of caveats here: it’s mostly “as I go along” so there may well be backtracking. I’m not advising the right thing to do, as I’m still investigating that myself. And of course the feature is still changing. Oh, and this blog post is inconsistent about its tense. Sometimes I write in the present tense as I go along, sometimes I wrote in the past tense afterwards without worrying about it. I hope this isn’t/wasn’t/won’t be too annoying.

I decided that the best way of exploring the feature would be to try to use it with Noda Time. In particular:

  • Does it find any existing bugs?
  • Do my existing attributes match what Roslyn expects?
  • Does the feature get in the way, or improve my productivity?



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Mendeley Suggest Architecture

A Practical Guide to Building Recommender Systems

Kris Jack, Ed Ingold and Maya Hristakeva.


Mendeley Suggest, a personalised research literature recommender, has been live for around nine months so we thought we’d mark this traditional human gestation period with a blog post about its architecture. We’ll present how the architecture currently looks, pointing out which technologies we use, justifying decisions that we’re happy with and lamenting those that we’re eager to reconsider.

Architectural Overview

A recommender system is more than just the smart algorithms that it implements. In fact, it’s a collection of five core components that are designed to interact with one another primarily to meet a set of user needs:

  • User Interface
  • Data Collection and Processing
  • Recommender Model
  • Recommendation Post-processing
  • Online Modules

In the case of Mendeley Suggest, we aim to provide users with articles that help them to keep up-to-date with research in their field and explore relevant research that is, as of…

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Using In Parameter Modifier : C# 7.2

Code Wala

Changes are the only constant thing in the world and that got little faster with C# new releases as we have minor now releases (also referred as point releases) with significant enhancements. New features are getting added and existing features are getting enhanced. In one my earlier posts, I discussed about Ref and Out improvements that took places in C# 7.0. You can go through the link below.

Ref and Out improvements in C# 7.0

Let’s have a quick look on it

Here we can see that if we want to pass the argument by ref then reference of the instance (value type or reference type) is passed and any change the in the argument in the called method reflects in the calling method as well.

Note – If you are curious about the using the ref keyword with reference type object, you can have a look to one of…

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Paramore Brighter: DRY with Custom Decorated Command Handlers

The Blog of Colin Angus Mackay

You may wish to add similar functionality to many (or all) command handlers. The typical example is logging. You can decorate a command handler in a similar way to the policies I showed in previous posts to add common functionality. I’ve used this technique to guard the handler from invalid command arguments/parameters (essentially a validator), and for ensuring that we ping our APM (Application Performance Management) tool when a command completes. I’ll use the latter to demonstrate creating a custom decorator and handler to initiate this common code.

Paramore Brighter Command Processor will look for any attributes derived from RequestHandlerAttribute that are added to the Handle method on your command handler class. It will then use them to build a pipeline for your command.

So, in the example here, our attribute class looks like this:

 public class HeartbeatAttribute : RequestHandlerAttribute { public HeartbeatAttribute(int step, HandlerTiming timing = HandlerTiming.After) : base(step…

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Implementing Simple Neural Network in C#

Rubik's Code

Code that accompanies this article can be downloaded here.

Sometime in the last few weeks, while I was writing the explanations for the way in which neural networks learn and backpropagation algorithmI realized how I never tried to implement these algorithms in one of the programming languages. Then it struck me that I’ve never tried to implement the whole Artificial Neural Network from scratch. I was always using some libraries that were hiding that implementation from me so I could focus on the mathematical model and the problem I was trying to solve. One thing led to another and the decision to implement my own Neural Network from scratch without using third-party libraries was made. Also, I decided to use object-oriented programming language I prefer – C#.

This means that a more OO approach was taken and not the usual scripting point of view like we would have by…

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