C# *

Hackathons could be very intimidating and stressful. The key to getting better is doing simple projects. In this article, we will look at an example of a web app that can be used for sharpening your skills when you prepare for a hackathon. We will use a powerful Google API based on Machine Learning and apply the following technologies: ASP.NET, HTML, Docker, Heroku, and Git.

We don't often get the chance to write something on parallel programming issues. This time we "got lucky". The TraceEvent standard method has some implementation peculiarities. They resulted in an error with multiple threads blocking. So we'd like to warn users about this nuance and cover this interesting case from our users support practice. Why was our support involved? Keep reading to find out. Enjoy the reading!

We know many ways to detect performance problems, such as extremely low speed and high memory consumption. Usually tests, developers, or testers detect such applications' drawbacks. In the worst case, users find weaknesses and report back. Alas, detecting defects is only the first step. Next, we should localize the problem. Otherwise, we won't solve it. Here comes a question - how to find weak points that lead to excessive memory consumption and slow down in a large project? Are there such at all? Maybe it's not about the application? So now you're reading a story how PVS-Studio C# developers encountered a similar problem and managed to solve it.

Do you like the '?.' operator? Well, who doesn't? Many people like these concise null checks. However, today's article shows that the '?.' operator may be tricky sometimes. That is, it can create an illusion of safety when used in the foreach loop.

We continue to develop PVS-Studio as a SAST solution. Thus, one of our major goals is expanding OWASP coverage. You might ask, what's the use when there's no taint analysis? That's exactly what we thought — and decided to implement taint analysis in the C# analyzer. Curious about what we accomplished? Read on!

What this article is about 

In this article, we will talk about multithreading in the backend. 

• how it is implemented 

• how is it used 

• what can be done 

• what we invented ourselves 

All these questions are relevant only if you develop something for the server side - modify the Server SDK code, write your own plugin, or even start some server application from scratch.

In this topic, I will tell you how to dynamically parse and deserialize only part of the whole JSON document. We will create an implementation for .NET Core with C# as a language.

For example, we have the next JSON as a data source for the report. Notice that we will get this JSON in the runtime and at the compile step we don't know the structure of this document. And what if you need to select only several fields for processing?

As software developers, we always want our software to work properly. We'll do everything to improve the software quality. To find the best solution, we are ready to use parallelizing or applying any various optimization techniques. One of these optimization techniques is the so-called string interning. It allows users to reduce memory usage. It also makes string comparison faster. However, everything is good in moderation. Interning at every turn is not worth it. Further, I'll show you how not to slip up with creating a hidden bottleneck in the form of the String.Intern method for your application.

Building console application can produce an unexpectedly much larger file than you would think due to implicit references.

What is the problem and how it can be solved?

Here I am going to cover my own approach to compilation of mathematical functions into Linq.Expression. What we are going to have implemented at the end:

1. Arithmetical operations, trigonometry, and other numerical functions

2. Boolean algebra (logic), less/greater and other operators

3. Arbitrary types as the function's input, output, and those intermediate

Hope it's going to be interesting!

Let me also say a word about properties. I'm going to consider a good use of them for immutable records in C#.

I am a big fan of code design, so in this article I want to cover existing approaches and show what, I think, is a better solution.

C# capabilities keep expanding from year to year. New features enrich software development. However, their advantages may not always be so obvious. For example, the good old yield. To some developers, especially beginners, it's like magic - inexplicable, but intriguing. This article shows how yield works and what this peculiar word hides. Have fun reading!

After 210 days, 600 commits, tens of debugging nights, and thousands of messages in the project chat, I finally released AngouriMath 1.2.

This is an open-source symbolic algebra library for C# and F#, maybe it is interesting for someone?

Surely every C# developer has used out-parameters. It seems that everything is extremely simple and clear with them. But is it really so? For a kickoff, let's start with a self-test task.

Let's say you use GitHub, write code, and do other fun stuff. You also use a static analyzer to enhance your work quality and optimize the timing. Once you come up with an idea - why not view the errors that the analyzer gave right in GitHub? Yeah, and also it would be great if it looked nice. So, what should you do? The answer is very simple. SARIF is right for you. This article will cover what SARIF is and how to set it up. Enjoy the reading!

In PVS-Studio, we often check various compilers' code and post the results in our blog. Decompiler programs, however, seem to be a bit neglected. To restore justice in this world, we analyzed the ILSpy decompiler's source code. Let's take a look at the peculiar things PVS-Studio found.

The PVS-Studio analyzer is regularly updated with new diagnostic rules. Curiously enough, diagnostics often detect suspicious code fragments before the end of the work. For example, such a situation may happen while testing on open-source projects. So, let's take a look at one of these interesting finding.