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.
Task: To provide automation for transfer of large number of files.
Source - computer with autotest codebase.
Receiver - gateway for industrial data processing.
Test receiver - second PC with installed vsftpd service.
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.
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.
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.
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.
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.
In this note, we discuss the Instant Digital Signature (IDS) mode, which was announced earlier. While the main content of the IDS mode was already disclosed in a previous publication, we believe that additional specifications will improve understanding.
This is a translated and adopted article I wrote for the Aha'22 (30 May 2022) conference. It describes an approach to a marketplace prices optimisation. Here I've outlined some important definitions and tried to define the scopes and roles of ML, algorithms, and humans in optimal pricing. Although the article covers rather basic things, still, you can find out some new formulas and ideas, because these basics are somewhat "well-known only in a very closed clubs", and besides, the real gem found here is the detailed recipe for ML engineers how to build optimal pricing systems.
Background
As a product manager with over a decade of experience, I'm always looking for new ways to enhance my skills and help other product managers advance in their careers. One area that many companies focus on during the job interview process is analytical and creative problem-solving. And as product managers, we encounter these types of challenges on a daily basis. It's important to stay sharp and continuously develop our problem-solving abilities. That's why I made it a habit to practice a logic puzzle every day. But I also wondered if there was a common approach to solving these puzzles. That's when I discovered TRIZ – the Theory of Inventive Problem Solving. In this article, I'll provide an overview of what TRIZ is and how it can be applied in product management. Then, I'll apply TRIZ principles to solve a series of logical puzzles, showcasing the power and effectiveness of this methodology. So whether you're an experienced product manager looking to enhance your skills or someone who enjoys a good brain teaser, read on to discover the power of TRIZ!
If you find TRIZ to be a useful tool for problem-solving and innovation, there are many resources available to help you delve deeper into the methodology. The TRIZ Journal, for example, offers enough information on TRIZ, including case studies, articles, and other resources. You can also find books and online courses that provide a more in-depth look at TRIZ and how it can be applied in different industries and contexts. So if you're interested in learning more, there are plenty of opportunities to expand your knowledge and apply TRIZ to your work.
Let's take a deeper look at the Q1 2023 DDoS attacks mitigation statistics and observations from Qrator Labs' perspective.