JiraCLI is an interactive command line tool for Atlassian Jira that will help you avoid Jira UI to some extent. This tool is not yet considered complete but has all the essential features required to improve your workflow with Jira.

The tool started with the idea of making issue search and navigation as straightforward as possible. However, the tool now includes all necessary features like issue creation, cloning, linking, ticket transition, and much more.

The tool supports both jira cloud and on-premise jira installation since the latest release.

This shows the Bacon–Shor subsystem code implemented on a 15-ion chain.

Multiple heads are better than one in real world calculations. Now, a team of University of Maryland-led quantum engineers report that multiple qubits may be better than one when it comes to error-corrections.

In what’s been described as a foundational step toward using quantum computers to tackle practical problems, the team combined nine qubits — a quantum bit — to make a single, improved logical qubit. A logical qubit can be used to probe for mistakes that extremely sensitive quantum computers are subject to, according to the researchers.

In the paper, which was just published in Nature, the team write that “Although fault-tolerant design works in principle, it has not previously been demonstrated in an error-corrected physical system with native noise characteristics. Here we experimentally demonstrate fault-tolerant circuits for the preparation, measurement, rotation and stabilizer measurement of a Bacon–Shor logical qubit using 13 trapped ion qubits.”

Nine of the qubits were termed data qubits and the four remaining are referred to as ancilla — or extra — qubits. The logical qubit was based on a quantum error correction code to easily detect and correct errors and made it to be fault-tolerant, or minimize the negative effects of errors.

“Qubits composed of identical atomic ions are natively very clean by themselves,” said Christopher Monroe, who is a Fellow of the Joint Center for Quantum Information and Computer Science and a College Park Professor in the Department of Physics at the University of Maryland in a university news release. “However, at some point, when many qubits and operations are required, errors must be reduced further, and it is simpler to add more qubits and encode information differently. The beauty of error correction codes for atomic ions is they can be very efficient and can be flexibly switched on through software controls.”

We often check retro games. In our company, many developers like to find interesting projects for themselves. They feel nostalgic when they're studying these projects. But we need to run retro games on something, right? This time we checked a project that helps to run old games on modern hardware.

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.

SSH, the secure shell, is often used to access remote Linux systems. Because we often use it to connect with computers containing important data, it’s recommended to add another security layer, such as the second factor.

In this guide, we will show how to leverage the TOKEN2 TOTPRadius appliance to organize SSH access to your Ubuntu server using local LDAP or Azure AD as the primary authentication factor, and TOTP factor from TOTPRadius as the secondary factor. The secondary authentication factors available with TOTPRadius can be a mobile authentication app or a hardware token.

The PVS-Studio developers often check open-source projects and write articles about that. Sometimes, when writing an article, we come across interesting situations or epic errors. Of course, we want to write a small note about it. This is one of those cases.

Hello! It’s Top 3D Shop and this is Part 2 of our introduction to the world of 3D scanners by Chinese manufacturer Shining. The first part covered the desktop scanners. Now we are going to talk about the handheld line. We will compare the specs, provide overviews and talk about both the strong points and limitations of the devices. 

Hello! It’s Top 3D Shop and in this article we will talk about Shining 3D. This manufacturer is among the few companies that offer a comprehensive ecosystem of 3D digitization solutions, covering not only 3D printing, but 3D scanning and software solutions for engineering and medical teams.

Most importantly, the company is constantly innovating to bring these technologies not only to the production floors of industrial conglomerates, but small businesses, R&D and engineering labs. For example, the Einscan HX is the most affordable handheld laser 3D scanner currently available on the market, bringing the price down to only $9,999.

The professionals and hobbyists alike will find value in reading about this brand and its products, and the article will cover precisely that. In part 1 we’ll focus on the overview of the company’s history and the Einscan desktop line of 3D scanners: Einscan SE and Einscan SP. In part 2 we’ll focus on their handheld line: Einscan H, Einscan Pro 2X 2020, Einscan Pro HD and Einscan HX.

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.

    Once upon a time our DBA team had a task. We had to move a ZooKeeper ensemble which we had been using for Clickhouse cluster. Everyone is used to moving an ensemble by moving its data files. It seems easy and obvious but our Clickhouse cluster had more than 400 TB replicated data. All replication information had been collected in ZooKeeper cluster from the very beginning. At the end of the day we couldn’t miss even a row of data. Then we looked for information on the internet. Unfortunately there was a good tutorial about 3.4.5 and didn’t fit our version 3.6.2. So we decided to use “the extending” for moving our ensemble.

Hello! This article will cover 3D printer manufacturer Modix and its professional large-scale 3D printers. The review will include the history of the brand, its products, their functions and possible applications.

Everyone who runs the static analyzer on a project for the first time is slightly shocked by hundreds, thousands or even tens of thousands of warnings. It may be frustrating. Is my code so terrible? Or is the analyzer lying? In any case, filtering by the severity changes the situation, not completely though. That's why we thought about how we could improve the first experience with the analyzer. Let me show you the new feature step by step...

One of the main tenets of the Unix philosophy is that a good tool for a good cause. Suppose you have a task to develop a large application that should have multiple threads of execution, possibly be distributed and, of course, have a graphical interface. I would like to make such a program quickly and without unnecessary mistakes. 

I think the first question to ask in a situation like this is, "Which programming language is right?" C is not a bad choice, but not for such a project. It does not scale very well, and does not have the means of working with processes at all. Then C++? But C++ is a complex language, and past experience has shown that it will take a fair amount of time to debug memory allocation problems. What else? 

There is a well-designed tool for just such a job. It is a Modula-3 language developed and implemented by the Digital Equipment Corporation Systems Research Center (SRC). Modula-3 is a modern, modular, object-oriented language. Other features include automatic memory management (built-in garbage collector), exception handling, support for dynamic types, and multi-threaded programming. 

The SRC implementation includes a compiler, a minimal recompilation system (m3build), and a wide range of libraries and sample applications. It must be said that SRC Modula-3 is a free system supplied with source code, including a compiler and a run-time kernel. In addition, SRC Modula-3 has been implemented for a dozen platforms, including Windows 95/NT.

  The goal of the developers of the language, in their own words, was not innovation, but the careful selection and consolidation of ideas, time-tested and proven to be useful in practice. Modula-3 is a simple but full-featured language for building large and reliable software packages with a long life cycle.

Project repository.
Year old article about general concepts of the project.

So you want to build a multitasking system using python? But you actually hesitate because you know you'll have to either use multitasking module, which is slow and/or somewhat inconvenient, or a more powerfull external tool like Redis or RabbitMQ or even large DBMS like MongoDB or PostgreSQL, which require some glue (i.e. very far from native python code) and apply their own restrictions on what you can do with your data. If you think «why do I need so much hassle if I just want to run few worker threads in python using the data structures I already have in my python program and using functions I've already written? I just want to run this code in threads! Oh, I wish there was no GIL in Python» — then welcome to the club.

Of course many of us can build from scratch a decent tool that would make use of multiple cores. However, having already existing working software (Pandas, Tensorflow, SciPy, etc) is always cheaper than any development of new software. But the status quo in CPython tells us one thing: you cannot remove GIL because everything is based on GIL. Although making shit into gold could require much work, the ability to alleviate the transition from slow single-threaded shit to a slow not-so-single-threaded gold-looking shit might be worth it, so you won't have to rewrite your whole system from scratch.

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.

The OWASP Top Ten 2017 category A9 (which became A6 in OWASP Top Ten 2021) is dedicated to using components with known vulnerabilities. To cover this category in PVS-Studio, developers have to turn the analyzer into a full SCA solution. How will the analyzer look for vulnerabilities in the components used? What is SCA? Let's try to find the answers in this article!

I created a new console for Microsoft System Center Orchestrator. It doesn't require Silverlight.

The third quarter of 2021 brought a massive upheaval in the scale and intensity of DDoS attacks worldwide.

It all led to September when together with Yandex, we uncovered one of the most devastating botnets since the Mirai and named it Meris, as it was held accountable for a series of attacks with a very high RPS rate. And as those attacks were aimed all over the world, our quarterly statistics also changed.

This quarter, we've also prepared for your consideration a slice of statistics on the application layer (L7) DDoS attacks. Without further ado, let us elaborate on the details of DDoS attacks statistics and BGP incidents for Q3, 2021.

Digital communication APIs and SDKs! the most powerful tool in the era of digitalization. Unlike other tools, these real time communication APIs have spread their impact over all industries and have successfully grabbed the attention of proficient developers too.

Based on the demand and need of developers to know more about these digital communication APIs and SDKs concerning their market availability with pricing, features and functionalities, I have posted this article to get you some clarity with research on the top most real time chat API and SDK providers. So, let’s start over.

When we move towards the digital world, we shouldn’t forget that cybersecurity has been playing a major role in our life. Talks about digital security have been stiff. The main challenge we would face is abnormality.

During an online transaction, most of the product-lovers prefer credit cards. The credit limit available in credit cards would allow us to purchase even when our bank balance is insufficient. But this is great news for cyber attackers eyeing your money.

For tackling this problem, we should depend upon a system to make hardpressed transactions effortless.

This is where we need a system to track the transaction patterns. With AI, we can abort any abnormal transaction, precisely for credit card fraud detection AI.

As of now, we will come across a number of machine learning algorithms to classify unusual transactions where Artificial Intelligence detect fraud. We only need past data and the right algorithm to fit the data in the right form in case of credit card fraud detection ai.

How do we make this happen? Let’s look into the process of credit card fraud detection AI:

Import the needed libraries

The best step to detect credit card fraud detection with AI is to import the libraries. The best practice would be to import the necessary libraries in a single section for the purpose of quick modification. To use the credit card data, we can use the PCA’s transformed version or RFECV, RFE, VIF and SelectKBest to get the best model features.

Import Dataset

Machine learning helps with fraud detection. It’s quite simple to import the dataset when you use the pandas module in python. You can run the run command for importing your data.