Programming *

How to make a parallel book for language learning. Part 1. Python and Colab version

This is a second article on making parallel books. Today we will use the more advanced tool which will bring rich UI functionality. Lingtrain Alignment Studio is a web application written on Vue and Python. The main purpose of it is to extract the parallel corpora from two raw texts and make a bilingual (or even multilingual) parallel book. This is an open-source project and I will be glad to hear all of your bright ideas. Links to the sources and our community contacts can be found below. Los geht's!

Setup

The app is packed into the docker container. It's a simple technology to deploy your stuff anywhere from the server to your local machine. It's available across all the operating systems. So at first, you need a docker installed locally. Then you need to run two simple commands. The first will download the container:

docker pull lingtrain/aligner:v4

And the second one will run the application:

docker run -v C:\app\data:/app/data -v C:\app\img:/app/static/img -p 80:80 lingtrain/aligner:v4

C:\app\data and C:\app\img — your local folders.

The app will be available on the 80th port. Let's open the localhost page in your favorite browser.

We will make three simple steps: Load, Align, Create

One of the mechanisms of static analysis is method annotations of popular libraries. Annotations provide more information about functions during errors detecting. CARLA is an impressive open-source project in C++ that helped us implement this mechanism to our analyzer. Subsequently, the simulator became a test-target for the improved PVS-Studio static analyzer.

People often see work in support as something negative. Today we'll look at it from a different perspective. This article is about a real communication of 100+ messages, exceptions, the analysis that didn't complete in three days...

Money theft is one of the most important risks for any organization, regardless of its scope of activity. According to our data, 42% of cyberattacks on companies are committed to obtain direct financial benefits.  You can detect an attack at various stages—from network penetration to the moment when attackers start withdrawing money.  In this article, we will show how to detect an attack at each of its stages and minimize the risk, as well as analyze two common scenarios of such attacks: money theft manually using remote control programs and using special malware—a banking trojan.

If you're interested in learning new languages or teaching them, then you probably know such a way as parallel reading. It helps to immerse yourself in the context, increases the vocabulary, and allows you to enjoy the learning process. When it comes to reading, you most likely want to choose your favorite author, theme, or something familiar and this is often impossible if no one has published such a variant of a parallel book. It's becoming even worse when you're learning some cool language like Hungarian or Japanese.

Today we are taking a big step forward toward breaking this situation.

We will use the lingtrain_aligner tool. It's an open-source project on Python which aims to help all the people eager to learn foreign languages. It's a part of the Lingtrain project, you can follow us on Telegram, Facebook and Instagram. Let's start!

Find the texts

At first, we should find two texts we want to align. Let's take two editions of "To Kill a Mockingbird" by Harper Lee, in Russian and the original one.

On the stackoverflow.com website, we frequently see questions about how to look for bugs of a certain type. We know that PVS-Studio can solve the problem. Unfortunately, we have to keep silent. Otherwise, StackOverflow moderators may consider it as an obvious attempt to promote our product. This article describes a particular case of such a situation that makes us suffer deeply.

Modern applications have lots of code. And the C++ language doesn't get easier. Nowadays, code reviews are not enough to fully analyze program code. Here's where static code analysis comes in.

Recently we released a new build of the Big Data Tools plugin that is compatible with the 2021.3 versions of IntelliJ IDEA and PyCharm. DataGrip 2021.3 support will be available immediately after the release in October. The plugin also supports our new data science IDE – JetBrains DataSpell. If you still use previous versions, now is the perfect time to upgrade both your IDE and the plugin. 

This year, we introduced a number of new features as well as some features that have been there for a while, for example, running Spark Submit with a run configuration.

Here’s a list of the key improvements:

After you read this article, you'll have the knowledge to create your own static analyzer for C#. With the help of the analyzer, you can find potential errors and vulnerabilities in the source code of your own and other projects. Are you intrigued? Well, let's get started.

XSS - or cross-site scripting - is one of the most common vulnerabilities in web applications. It has been on the OWASP Top 10 list (the list of the most critical security risks to web applications) for a while now. So let's figure out together how your browser can acquire and execute a script from a third-party website, and what this may lead to (spoiler: your cookies could get stolen, for example). And while we're at it, we'll talk about ways you can protect yourself from XSS.

It seems that the problem of calculating the absolute value of a number is completely trivial. If the number is negative, change the sign. Otherwise, just leave it as it is. In Java, it may look something like this:

public static double abs(double value) {
  if (value < 0) {
    return -value;
  }
  return value;
}

It seems to be too easy even for a junior interview question. Are there any pitfalls here?

With the .NET5 release further development of some projects was questionable due to the complexity of porting. One can abandon small outdated libraries or find a replacement. But it's hard to throw away Microsoft.Office.Interop.Word.dll. Microsoft doesn't plan to add compatibility with .NET Core/5+, so in this article we focus on creating Word files with Open XML SDK.

OpenAPI specification

One of the nicest features of Go is the power of code generation. go generate command serves as a Swish knife allowing you to generate enums, mocks and stubs. In this article, we will employ this feature to generate a Go code from OpenAPI specification. OpenAPI specification is a modern industrial standard for REST API. This standard has fantastic tooling support and allows you to conveniently render and validate the spec. We are going to befriend the power of Go code generation with the elegance and clarity of the OpenAPI specification. In this way, you don't have to manually update the Go boilerplate code after every change in the spec. You also ensure that your docs and your code are a single entity, as your code is being begotten from the docs.

Let's start dead-simple: we have a service that accepts order requests. Let's declare endpoint order/10045234 that accepts PUT requests, where 10045234 is an ID of a particular order. We expect to receive an order as a JSON payload in the following format.

    {"item":  "Tea Table Green", "price":  106}

How can describe this endpoint in the OpenAPI spec?

In the comment sections of our articles about our server there are often users who say: "Why would you jump through so many hoops, when you can do the same with a single line of code in FFmpeg!?"

Java 8 introduced two kinds of functional expressions: lambda expressions like s -> System.out.println(s) and method references like System.out::println. At first, developers were more enthusiastic about method references: they are often more compact, you don't need to think up the parameter name, and, as urban legends say, method references are somewhat more optimal than lambda expressions. Over time, however, the enthusiasm waned. One of the problems with method references is the difficulty in debugging.

In this article we will once again return to the tired topic of webinars and webinar hosting tools. And no, we're not about to code a whole new system for webinar hosting – there are already plenty of those. Instead, we will talk about connecting drawing software to the webinar, so that you could manually draw and broadcast the process.

We present a guide to name entities in code based on putting naming in perspectives of semantic space, design, and readability. 

The main idea is that naming should not be considered as creation of tags, but as a fundamental part of design process, which implies integral and consistent vocabulary to be used. We discuss naming process and naming formalism from these perspectives and we provide guidelines for practical use.

The work is based on 15 years of experience in engineering work, coding and development management in high-tech industries.

The "Click to Call" button on the website is an "innovation" that has been around for about 10 years. The technologies under the hood have changed, but the principle remains the same: someone clicks on the button on the site page, then JavaScript launches and requests access to the microphone and establishes a connection to the server — WebRTC SIP gateway. Further, the first client-server leg is a browser gateway, the second leg can be arbitrarily long and through the SIP proxy chain can eventually connect to a mobile or landline phone. Thus, the browser turns, in a sense, into a softphone and becomes a full participant in VoIP telephony.

When creating a .NET library with a partially platform-specific API, we should think about how to pack it into a NuGet package so that the installed library will work in various scenarios (.NET Framework, .NET Core, self-contained application and so on). Unfortunately, it is difficult to find a step-by-step instruction on the web that describes how to perform this task. This article is intended to be such an instruction.