Development

If you’re a React developer, you know how important state management is. State is the data that powers your UI, making it interactive and dynamic. But managing state in React can be tricky, especially when you have to share it across multiple components or deal with complex and asynchronous logic.

That’s why over the years, React developers have come up with various solutions for state management, each with its own advantages and disadvantages. In this article, we’ll take a look at some of the most popular ones and how they evolved. We’ll also review some of the current state-management libraries and how to choose the best one for your app.

Hello, fellow front-end developers! Imagine a tool that’s not about punching in commands but a gateway to a world of coding artistry. That’s what the macOS Terminal became for me at Luxoft. 

In this article, I will guide you through the process of creating a frosted AppBar with a sliding element beneath it. The final result is presented at the top as it works in the media network application.

In this article, I will cover the memory consumption of .NET applications on Linux. Firstly, we will try to understand the idea of virtual memory. Then, we will examine the memory statistics that Linux provides, such as RSS (Resident Set Size), VmData, RES (Resident Memory Size), and SWAP. Following that, we will delve into specifics related to the .NET.

In the realm of frontend development, the quest for enhancing user interaction remains a constant pursuit. Developers, inspired by innovation, often seek solutions to refine components for a seamless user experience. Today, we delve into the construction of an advanced dropdown component using Svelte — a framework known for its simplicity and effectiveness.

We continue to follow the news of the PostgreSQL 17 development. Let's find out what the September commitfest brings to the table.

If you missed our July commitfest review, you can check it out here: 2023-07.

Removed the parameter old_snapshot_threshold
New parameter event_triggers
New functions to_bin and to_oct
New system view pg_wait_events
EXPLAIN: a JIT compilation time counter for tuple deforming
Planner: better estimate of the initial cost of the WindowAgg node
pg_constraint: NOT NULL constraints
Normalization of CALL, DEALLOCATE and two-phase commit control commands
unaccent: the target rule expressions now support values in quotation marks
COPY FROM: FORCE_NOT_NULL * and FORCE_NULL *
Audit of connections without authentication
pg_stat_subscription: new column worker_type
The behaviour of pg_promote in case of unsuccessful switchover to a replica
Choosing the disk synchronization method in server utilities
pg_restore: optimization of parallel recovery of a large number of tables
pg_basebackup and pg_receivewal with the parameter dbname
Parameter names for a number of built-in functions
psql: \watch min_rows

Exception handling in Java is the most effective way to handle runtime errors occurring in the application. This is used to protect the abnormal flow of the execution of the application and continue the application in normal flow. This is the process of handling runtime errors such as ClassNotFoundException, IOException, etc. The throw and throws keywords are used to handle exceptions in Java.
In this topic, we will learn how to use throw and throws keywords in Java with examples.

If you are searching for free partition manager software for your Windows PC, then Download the Top and best Partition Manager Software on Windows PC/Laptop.

It is a software program that lets us create, delete, shrink, expand, split, or merge partitions on our hard drives or other storage devices. Without extra software, a hard drive will be partitioned into Windows. But we can’t resize or combine them without any extra help.

The important aspect of owning a PC is to manage your hard-drive partitions very effectively. Based on categories, it divides data to allow people. For example, you can keep your multimedia files, work folders, and your programs in different partitions and install them on your system drive.

If you use your PC to double or triple-boot into various operating systems as a power user. Your SSD or HDD must be divided into smaller partitions; otherwise, it is impossible.

In 2020, in managing software partitions effectively. We help you with Windows and Linux by compiling a list of the best free partition software. So let’s read more to get the free partition manager Windows 10/8/7.

Many of us have heard stories where one was able to complete days worth of work in minutes using AI, even being outside of one's area of expertise. Indeed, often LLM's do (almost) miracles, but today I had a different experience:

Surprisingly, there are strict mathematical methods that literally allow to hear visual geometric forms and, conversely, to see the beauty of musical harmonies...

[Read on Russian]

I've long wanted to create educational materials on the topic of Information Theory + Machine Learning. I found some old drafts and decided to polish them up here, on Habr.

Information Theory and Machine Learning seem to me like an interesting pair of fields, the deep connection between which is often unknown to ML engineers, and whose synergy has not yet been fully revealed.

Let's start with basic concepts like Entropy, Information in a message, Mutual Information, and channel capacity. Next, there will be materials on the similarity between tasks of maximizing Mutual Information and minimizing Loss in regression problems. Then there will be a section on Information Geometry: Fisher metric, geodesics, gradient methods, and their connection to Gaussian processes (moving along the gradient using SGD is moving along the geodesic with noise).

It's also necessary to touch upon AIC, Information Bottleneck, and discuss how information flows in neural networks – Mutual Information between layers (Information Theory of Deep Learning, Naftali Tishby), and much more. It's not certain that I'll be able to cover everything listed, but I'll try to get started.

Hello, dear users of the IT world!

In modern web development there are many ways to make your website interesting and attractive to users. And even using simple techniques you can achieve great results!

I suggest you to create a mini-game from scratch yourself. And then, you can use it to liven up and add interactivity to any web page.

How do you deal with index fragmentation if your SQL server is working in high load environment with 24/7 workload without any maintenance window? What are the best practices for index rebuild and index reorganize? What is better? What is possible if you have only Standard Edition on some servers? But first, let's debunk few myths.

Myth 1. We use SSD (or super duper storage), so we should not care about the fragmentation. False. Index rebuild compactifies a table, with compression it makes it sometimes several times smaller, improving the cache hits ratio and overall performance (this happens even without compression).

Myth 2. Index rebuild shorten SSD lifespan. False. One extra write cycle is nothing for the modern SSDs. If your tempdb is on SSD/NVMe, it is under much harder stress than data disks.

Myth 3. On Enterprise Edition there is a good option: ONLINE=ON, so I just create a script with all tables and go ahead. False. There are tons of potential problems created by INDEX REBUILD even with ONLINE and RESUMABLE ON - so never run index rebuilds without controlling the process.

Finally, we will tackle the REBUILD vs REORGANIZE subject and what is possible to achieve if you have only Standard Edition.

In this tutorial, I want to talk about the practical experience of native compilation of a production application written in Kotlin with Spring Boot and Gradle using GraalVM. I’ll start right away with the pros and cons of the native compilation feature itself and where it can be useful, and then I’ll move directly to the build process for MacOS and Windows.

At the end of the article, in the afterword block, I will talk in more detail about the project and why such a need arose, given quite a few limitations and pitfalls of supporting native compilation both from Spring Boot and from GraalVM.

Openjob is a new  distributed task scheduling framework based on Akka architecture. Supports multiple cronjob, delay task, workflow, lightweight distributed computing, unlimited horizontal scaling, with high scalability and fault tolerance. Also has complete management, powerful alarm monitoring, and support multiple languages

There are two articles on Russian, the author of which writes a virtual machine (interpreter) for executing a simple bytecode and then applies different optimizations to make this virtual machine faster. Besides that, there is a compiler of a simple C-like language into this bytecode. After reading this article and getting familiar with the compiler, I thought that it would be interesting to try writing a virtual machine for this language that would be able to apply JIT-compilation to this bytecode with the libjit library. This article describes the experience of doing that.

I found several articles online that describe the usage of this library, but those that I saw, describe the compilation of concrete programs with libjit, while I was interested in compiling arbitrary bytecode. For people interested in further reading, there is an official titorial, a series of articles and a series of comparisons (in Russian).

The implementation was done in C++ because we aren`t playing games here. All my code is in my repository. The "main" branch has just the interpreter of the PigletVM bytecode; "labels-with-fallbacks" has a partial JIT compilation implementation (that doesn`t support JUMP instructions), "full-jit" has fully working JIT-compilationl; "making-jit-code-faster" makes code generated by JIT work faster and "universal-base-vm*" branches merge the interpreter and JIT-compilation implementations, by implementing a base generalised executor, which can be used for different implementations of PigletVM (both the interpreter and libjit compilation)

This custom hook is particularly beneficial in scenarios where you need to handle user input, such as search bars or form fields, where you want to delay the execution of an action until the user has finished typing or interacting. It's also useful for optimizing network requests, ensuring that requests are sent only after the user has stopped typing or selecting options.

There is such an interesting data transfer protocol - APRS. A lot has already been told about him on the Internet. There will be no in-depth theoretical material here. This article will describe how to create your own "pocket" AFSK modulator. In the following articles there will be instructions for going on the air and for creating a simple demodulator. Which will allow you to accept APRS packages and display information on the display right on the street. Everything will be implemented for Flipper Zero. If you don't have this gadget yet, then don't worry and try everything on the great and terrible Arduino. It is very interesting to transmit information at a distance "with your own hands".

Experiments on the Torus

Brief problem formulation

The program accepts as input the absolute path to the image in the bmp extension and the path where you save the result of the work. Then, it rotates the image by 90 degrees counterclockwise. Afterwards, the program saves the new image.

The program is executed on C.