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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.

GIMP (GNU Image Manipulation Program) is a free and open-source image editing software that provides users with a wide range of tools for editing and manipulating digital images. Python is a high-level programming language that is often used for scripting and automation tasks. The combination of GIMP and Python provides a powerful platform for users to create custom image editing plugins that can automate repetitive tasks, extend the functionality of GIMP, and customize the software to suit their specific needs.

Python provides a flexible and easy-to-learn language for writing GIMP plugins. GIMP provides an API (Application Programming Interface) that allows Python scripts to interact with the image editing program Python plugins for GIMP can be used for a wide range of tasks, including automating repetitive tasks, enhancing the functionality of GIMP, and customizing the software to suit specific needs. Some examples of tasks that can be automated using Python plugins include batch processing of images, resizing and cropping of images, and converting file formats.

Plugins can also add new features to GIMP, such as custom brushes, filters, and effects. Additionally, plugins can be used to create custom user interfaces that enable users to interact with GIMP in new and unique ways.

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.

I believe listicles have a huge potential for testing demand hypotheses. Have you tried using listicles for your demand validation? If so - let us know in the comments how this worked for you.

Do you know these "Top N something something" kind of articles? Like:
- 5 best GPS vehicle trackers
- The 14 hair growth products that actually work
- Top 10 Best CRM Software Tools in 2023
They are often referred to as "listicles" - articles presented in the form of a list.

I love them - they make picking a new phone, a movie to watch, an app to install much easier. I also use them at work all the time while looking for solutions to everyday challenges.

So what if we use one of them to benchmark our product against the best available alternatives?

Swift 5.7: Regex. Shorthands for optional unwrapping. Unlock existentials for all protocols.

Shorthands for optional unwrapping. Improved type inference for complex closures. Better string parsing with Swift Regex. Creating a Regex with Regex literal. Creating a Regex using RegexBuilder. Unlock existentials for all protocols.

In this article, we will briefly review a technology that underlies ChatGPT — embeddings. Also we’ll write a simple intelligent search in a codebase of a project.

I will continue the story "How to put the whole world into a regular laptop: PostgreSQL and OpenStreetMap" with secrets about OpenStreetMap geodata, on which many companies have built their business, but not everyone shares the details... Well, today we will open crucial details.

The OSM database in PosgreSQL after loading from the dump takes up more than 587 GB. This is already a large database by the standards of a DBMS, and one huge table for each type of object will not work. For manageability, such data must be partitioned, it's good that PostgreSQL supports declarative data partitioning. It remains only to figure out how to split geographical data. After searching and comparing, the H3 hierarchical hexagonal geospatial indexing system came to rescue. All this was implemented in my openstreetmap_h3 project for fast processing and loading of the world dump into the PostGIS database.

I considered following options from geopartitioning systems...

This is a translation of my article in Russian

In this article, I want to write about my experience of interacting with the LeetCode platform, and describe my preparation for an interview in FAANG similar companies by breaking it down into levels.

The whole article is written based on my experience, the numbers are very rough, I do not pretend to be objective, perhaps there are best practices on how to solve LeetCode problems, it would be cool if you share your experience in the comments.

This is a series of articles dedicated to the optimal choice between different systems on a real project or an architectural interview.

At work or at a System Design interview, you often have to choose the best message broker. I plunged into this issue and will tell you what and why. What is better in each case, what are the advantages and disadvantages of these systems, and which one to choose, I will show with several examples.

In this article I will talk about my attempt to create flexible, compact and beautiful modular prototyping framework

If you’re following recent Apple announcements probably you’ve noticed the fact that Apple is just landing foundation for future mixed reality development. Without saying a word during WWDC keynotes.

Structured logging is gaining more and more popularity in the developers' community. In this article I'd like to demonstrate how we can use structured logging with the Microsoft.Extensions.Logging package and show the idea how we can extend it using the new features of C# 10.

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.