Programming *

lsFusion platform is designed for rapid development of business applications. It is distributed under the terms of a Lesser General Public License (LGPLv3). The source code of the platform is available on Github.

lsFusion is best suited for creating complex systems with large numbers of entities and forms, where users need to input and process large amounts of data. However, the platform can also be used to quickly create simple applications instead of spreadsheets when Excel’s functionality is not enough.

At the same time the use of the platform will not give a great advantage when developing applications aimed at interaction with a large number of “external” users or without the need for any complex calculations. You should also take into account that the web interface is a single page application using JavaScript. Therefore, the lsFusion platform is not well-suited for creating websites, for example.

Faced with the situation when calling Mono::block leads to deadlock - in debug I can just see how it stands on Unsafe::park and no more movement at all.

There are such types in Java - called "Generics".
And the point here is that there is a convention for naming generic type parameters WITH ONE CAPITAL LETTER.

But we have found much more readable approach!

The problem

Unfortunately, when fulfilling their planned business goals, the departments of the organisation rarely take into account such a metric as solution code quality. And usually developers has no time for normal code review process.

In one of the tasks on the project, I had to wrap the ForkJoinTask collection in CompletableFuture for asynchronous execution and building data processing pipeline chains.

The life of Langton's Ant seems sad and lonely, but, as we'll soon discover, he is not ready to put up with such an outrageous situation and is trying his best to escape. American scientist Christopher Langton invented his ant back in 1986. Since then, no one has been able to explain the strange behavior of this mysterious model...

In this tutorial we'll learn how to write cross-platform code in C using the system functions on popular OS (Windows, Linux/Android, macOS & FreeBSD): file management functions and file I/O, console I/O, pipes (unnamed), execution of the new processes. We're going to write our own small helper functions on top of low-level userspace system API and use them so that our main code can run on any OS without modifications. This tutorial is Level 1, the easiest. I split the difficult stuff into parts so the code samples here shouldn't be overwhelming for those who has just started to program in C. We'll discuss the differences between the system API and how to create a cross-platform programming interface that hides all those differences from the user.

Programming textbooks usually do not indulge us with variety of examples. In most manuals, exercises are similar to each other and not particularly interesting: create another address book, draw a circle using turtle, develop a website for a store selling some kind of "necessary" advertising nonsense. Too far from the authentic imitation of "The Matrix". Although…

How about taking over the control and starting to invent exercises yourself?

Would you like to write your own personal little "Matrix"? Of course, not the one with skyscrapers, stylish phones of the time, and the ubiquitous invincible Agent Smiths. We will need a couple of more months of learning for that. But any beginner programmer can write a model of the cult splash screensaver with the green streams of digits flowing down the screen. Let's try to creat it in the "great and mighty" Python.

This is a translation of my own article

The release of NewLang language with a brand new "feature" is coming, a remodeled version of the preprocessor that allows you to extend the language syntax to create different DSL dialects using macros.

What is it about?

DSL (Subject Oriented Language) is a programming language specialized for a specific application area. It is believed that the use of DSL significantly increases the level of abstractness of the code, and this allows to develop more quickly and efficiently and greatly simplifies the solution of many problems.

Conditionally, we can distinguish two approaches to DSL implementation:

• Development of independent syntax translators using lexer and parser generators to define the grammar of the target language through BNF (Backus–Naur form) and regular expressions (Lex, Yacc, ANTLR, etc.) and then compiling the resulting grammar into machine code.
• Development or integration of the DSL dialect into a general-purpose language (metalanguage), including the use of various libraries or special parsers / preprocessors.

We will talk about the second option, namely the implementation of DSL on the basis of general-purpose languages (metalanguages) and the new implementation of macros in NewLang as the basis for DSL development.

As a Product Manager who has worked on the development of delivery route optimisation software for 10+ years, I see that modern technologies can significantly improve the optimisation process and deliver better solutions. AI, machine learning, and other modern technologies have the potential to revolutionise the way delivery routes are optimised in the future.

With the increasing availability of data and the advancement of AI and machine learning algorithms, it is becoming possible to develop more sophisticated prediction models that can be integrated into optimisation algorithms to make more accurate and informed decisions about route planning and scheduling. Machine learning algorithms can be trained to predict customer demand based on historical sales data and other market trends, allowing businesses to optimise their delivery schedules and routes accordingly. AI can also be used to optimise delivery schedules based on customer preferences and other relevant factors.

Blockchain technology could be used to create a secure, decentralised database of information about deliveries, including information about the products being shipped, the route they are taking, and the status of the delivery. This could help increase transparency and accountability in the delivery process as well as reduce the risk of fraud and theft.

Internet of Things (IoT) devices, such as sensors and GPS trackers, may collect real-time data about delivery vehicles and their surroundings. This data could be analysed and used to optimise delivery routes in real time, as well as to track the location of deliveries and monitor the condition of the products being shipped.

Most of the processes that people use in their work lives can be represented as some object that goes through some flow. Each flow contains many stages, in each one of them the object can be manipulated by certain group of users.

In this article I want to suggest an approaches to effectively handle such flow based systems. 

Command-line interfaces (CLI) are a common way to use applications. In iOS, we usually use scripting languages like Bash or Ruby to build those CLIs and automate mundane tasks. The most popular CLI for app signing and build automation is, without a doubt, Fastlane, which was initially written in Ruby. Fastlane is a great tool, convenient and fairly easy to use, and a lot of effort came into building it.

However, there's a great chance you considered moving away from Fastlane to avoid learning Ruby and to lower the entry threshold for your developers. Setting up a Ruby environment could be quite tedious and require additional devs' expertise to write and support those scripts.

Explore how to build your own command line tools with Swift in this article.

Search your own data like in google search engine.

— Glitchy couch! — Anton exclaimed, yet another time crushing down his fingers by heavy coach he and Sergey were pulling for 14 storeys already.
— ‘Glitchy’? — Sergey asked — have you been coder in the past too?
They’ve been working almost a week together, but Sergey would have never suspected he was coder in the past. Lean and muscular Anton did not look the part at all.
— I had to in my student years, — Anton answered, abashed.
— Relax! One of us. Layout, three years and JS for every browser out there, — Sergey perked up, pushed the couch and pressed it a bit forcefully on Anton.

Let’s say you want to send an encrypted message to your friend in order to avoid it being intercepted and read by a third party. You generate a random secret key and encrypt the message with it. Let’s say you use AES. But how do you let your friend know the key to decrypt it?

In this article, we will explore how the Elliptic-Curve Diffie-Hellman algorithm works under the hood. The article includes the implementation of this algorithm from scratch, written in Python.

Imagine this: you are an ordinary frontend developer. When you open your mailbox you found a message — tomorrow DevOps team will make an optimization with Kubernetes. You are experienced developer and you know that environment operation test might go sideways. Test environment is crucial for your job as frontend developer and you don’t want to miss a whole day on a job, so there are two possible solutions present:

1. Setup all microservices on your laptop
2. Prepare mocks for API

I will describe how to mock REST API request via Yakbak.

Hello! My name is Mikhail Emelyanov, I am embedded software engineer, and I was inspired to write this little roadmap on the capabilities of Python language by a certain commonality among the existing Python tutorials found on the web.

The usual suggestions to study, say, “Algorithms and Data Structures” or “Databases” are especially jarring. You can spend years studying these topics, and even after decades you'd still be able to find something you didn't know yet even without ever venturing outside the scope of Algorithms!

Using video game analogies, we can say that novice programmers often stand on the shore of the lake of boiling lava with an island with the ever-coveted jobs in the center, while the islands in between, which you have to jump on, gradually increasing your skills in successive mini-quests, are either missing, or arranged haphazardly, or their fairly smooth sequence breaks off, never having managed to get you any farther from the shore. Let's try to build a path of hint islands, a number of which, although not without effort, will finally allow us to reach our goal.

Software message brokers became the standard for creating complex systems. However not all IT specialists understand how these instruments work. Pavel Malygin, Lead System Analyst at Innotech, dives into the topic of message brokers and explains how they are used.

At first glance making REST and Apache Kafka compatible seems quite a challenge. However Innotech team nailed the task. Kirill Voronkin, Lead Developer at Innotech, shared the details on transforming unsynchronized queries into synchronized.