All streams

1. About this series of articles

1.1 Central result

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.

The end of the March Commitfest concludes the acceptance of patches for PostgreSQL 16. Let’s take a look at some exciting new updates it introduced.

I hope that this review together with the previous articles in the series (2022-07, 2022-09, 2022-11, 2023-01) will give you a coherent idea of the new features of PostgreSQL 16.

Explaining main algorithm.

For a while I’ve been thinking of writing a scientific article. I wanted it to have certain utility.

Morse code is binary: it takes only two values – either dot (short) or hyphen (long). I figured out that short (s) can stand for two-eye blinking whilst long (l) can indicate left-eye blinking. Another question emerged: how to understand when does one-symbol recording stop?

Empty space between two symbols can be presented by right-eye blinking – r. If I input singly symbol of short (dot) and long (hyphen), I will blink my right eye once to indicate the space between two symbols.

To separate independent words, one has to blink her right eye twice and get rr.

Hence, I have collected an ordered set of symbols – r, l, s, - that can be converted into a full-fledged text. Once I accomplish the transformation, I get an answer.

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 most important stage in the data science process is feature engineering, which entails turning raw data into useful features that might enhance the performance of machine learning models. It calls for creativity, data-driven thinking, and domain expertise. Data scientists can improve the prediction capability of their models and find hidden patterns in the data by choosing, combining, and inventing relevant features. Handling missing data, scaling features, encoding categorical variables, constructing interaction terms, and other procedures are examples of feature engineering techniques. The best practises involve investigating the data, testing and improving features iteratively, and applying domain knowledge to draw out important information. The accuracy and effectiveness of machine learning models are significantly influenced by effective feature engineering.

I explain experimental results of Bell’s Theorem by superdeterminism. I follow with insights into how such a universe may arise and be compatible with the subjective experience of free will.

One of the common tasks that both beginners and experienced game designers face is describing a large amount of content to pass its parameters to the engine. This is not an easy task, given that it is very difficult to find materials on the technical aspects of game design. Well, let’s figure out how to transfer data to the engine.

Push notifications are similar to promoters. You're peacefully walking down the street, and suddenly promoters approach you, urging you to take their flyers. You take them, but you don't read them and throw them into the nearest trash can.

The same goes for push notifications. You're reading an article, and suddenly a notification pops up with a promo code for free delivery of products. Then another one arrives, informing you about a giveaway. And then another one, offering a discount on all fruits. Notifications can appear on your screen at any time. If there are too many of them, your reaction is either to ignore them or disable them.

In this article, we will talk about how to write push notifications that people will click on and show you how to build a push notification strategy. At the end, we will provide a template for a push notification strategy.

Push Notifications - What is it?

A push notification is a pop-up message on a smartphone screen. To send one, you need to use a delivery service. You can send a notification instantly, schedule it for a specific time, or set up a trigger-based delivery - a chain of notifications that will be triggered by specific user actions.

Triggered push notifications are sent after a specific action is taken. For example, if a person starts adding items to their cart but doesn't complete the purchase, you can send them a notification urging them to complete the transaction after a certain period of time.

Notifications are sent to users who fall into specific segments for targeting. Segments are formed based on specific events. For example, the event "6 hours ago, a product was added to the cart but no purchase was made" will divide users into two segments: those who made a purchase and those who didn't.

OpenTeleletry Collector is an open source data collection pipeline that allows you to monitor CPU, RAM, disk, network metrics, and many more.

Collector itself does not include built-in storage or analysis capabilities, but you can export the data to Uptrace and ClickHouse, using them as a replacement for Grafana and Prometheus.

When compared to Prometheus, ClickHouse can offer small on-disk data size and better query performance when analyzing millions of timeseries.

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.

Email marketing has emerged as a vital tool for businesses to nurture customer relationships and drive growth. In this article, we will explore the immense potential of email marketing through personal experiences and examples from renowned companies. From personalization to segmentation, retargeting, and building anticipation, discover how these strategies can elevate your email campaigns and deliver remarkable results.

The Art of Personalization in Email Marketing:
Personalization is a key aspect of successful email marketing. Take, for example, Amazon's tailored recommendations and exclusive offers. By delivering personalized content that matches customers' preferences and interests, Amazon creates a sense of exclusivity and fosters customer loyalty. In my own experience, implementing personalization in email campaigns resulted in increased open rates, click-through rates, and conversions. It's clear that customers appreciate the effort put into crafting messages specifically for them.

Hello!

In this article, I will try to briefly describe how Java Virtual Machine works with fonts. Once I needed to change the font used by the JVM and, surprisingly, found only pieces of legacy information about this. I spent a little time investigating the problem and now want to share this information with anybody who could find it useful. Feel free to leave any comments :)

This article is written in a how-to style. It is based on my personal experience and opinions, so it may omit some steps that are common in BPM practice but that I have not encountered in my work. The topic is broad, and each section deserves a separate article. Therefore, if you are interested in a specific topic, please comment, and I will prepare a more detailed description.

Hello everyone! My name is Nikolai, I'm iOS developer.

I got the task where I should make scrollable content, with another one at the back. Both of them should scroll synchronously but backward should be slower - like background images in cartoons or videogames.

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.

Regardless of how mature the product is, its owner will always be curious about how it performs, what the conversion rates are, and what areas for improvement there are. One of the most important tools that product owners should get access to at some point in time is an event tracking system.

How do people usually write a server if they don't really care about performance? A program starts, then starts accepting incoming connections from clients and starts a new thread for each client, which is engaged in servicing this client. If you use framework, like Spring or Flask or Poco there, then it does something like this inside itself - the only difference is the threads can be reused, that is, taken from a certain pool. It's all quite convenient, but not too effective (and Spring is bad). Most likely, your threads serving clients do not live long and most of the time they are waiting either to receive data from the client or to send it to the client - that is, they are waiting for some system calls to return. Creating an OS thread is quite an expensive operation, as is context switching between OS threads. If you want to be able to serve a lot of customers efficiently, you need to come up with something else. For example, callbacks, but they are pretty inconvenient (though there are different opinions on this).

Another option is to use non-blocking I/O in combination with some kind of implementation of user-space threads (fibers). In this article I will show you how to write all this with your own hands.