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Gowin has clear advantages over Xilinx in the educational FPGA board market: Gowin boards are several times less expensive, the synthesis speed is several times faster, and the EDA package is two orders of magnitude smaller: we are talking about 1G versus 100G disk space. Of course, Xilinx is still the king of high-end prototyping boards that cost $10K-100K, but for the students such boards are irrelevant; such boards are for ASIC design companies. A beginning EE student needs a board for less than $100, and Gowin not only fits the bill but also covers all the needs, specifically:

In today's fast-paced world of software development, integrating third-party APIs and services is a common practice. These integrations can enhance functionality, improve user experience, and provide additional features that would be time-consuming and costly to develop in-house. However, ensuring these integrations work seamlessly with your software is crucial, and this is where the importance of a test environment, or sandbox, comes into play.

A sandbox environment allows developers to test the integration between their software and third-party services without risking the stability and security of the production environment. This controlled setting enables thorough testing, helping to uncover issues before they affect end-users. By covering as many test cases as possible, developers can ensure robust and reliable integrations.

But what if your third-party provider, such as a bank or government e-system, does not offer a sandbox environment? This scenario can pose significant challenges, but there are several strategies you can employ to mitigate these issues.

In this article, I want to introduce you to something truly amazing—Perplexity AI. This AI tool has incredible potential, and I believe it can be a game-changer for many of you. I'll walk you through how to use Perplexity AI and highlight some of its great features.

In the world of IT services, the idea that operations must run 24/7 is often taken for granted. However, for business-to-business (B2B) services, this assumption needs to be rethought. By reconsidering the need for around-the-clock processing services, companies can achieve significant benefits in efficiency, security, and sustainability.

In this article, we are going to do something really cool: we will build a chatbot using Python and the Gemini API. This will be a web-based assistant and could be the beginning of your own AI project. It's beginner-friendly, and I will guide you through it step-by-step. By the end, you'll have your own AI assistant!

In this article, we'll explore Project IDX, a new code editor developed by Google. It has the potential to change the way we write and manage code.

Hi Everyone!

In this article we a little bit will analyze of code of Windows XP and will compile the calculator application using GCC x64 in Windows 10 environment. We will look what kind of errors I faced during the build and the methods how to solve them. At the end we will launch the build of the calc.exe application.

Have a nice reading!

Sometimes it seems that jokes about management implementing Agile to do more with less aren't far from the truth. I've rarely seen development teams understand Agile as anything more than a set of ceremonies, most often associated with Scrum.

In my experience, attempts to optimize team performance often boil down to changing the internal processes within the team itself. Meanwhile, critical decisions are made outside the team, remaining in a waterfall model. This creates a disconnect: on one hand, company management strives for the flexibility of Agile, while on the other, they continue to follow rigid patterns, limiting the team and preventing it from fully realizing its potential.

Hi! My name is Slava. I am currently working as a leading Product and Senior Project Manager at Uzum Bank. One of the leading digital banks in Uzbekistan.

We are growing fast. Really fast. Speaking in numbers, our interest income has increased x10 over the past year (!).

And, as in any similar projects with rapid growth, we constantly lack qualified personnel. So I and my colleagues always have a lot of work to do.

I have two teams with completely different products, and I also manage some projects as a project manager. And I have my own small business – an online tea and coffee shop. And in conclusion, I am the father of two small children)

So, I hope this makes it clear to you that I have faced all the problems, such as working at night, lack of sleep, working in a noisy environment, calls with crying children in the background, calls during breakfast on the wheels, when I take a child to kindergarten (never do that!) etc. and so on and so forth XD

You can ask me: how do you manage to do everything?
The answer is simple: I don't XD

But. This forces me to build a system that helps me quickly switch between different types of tasks, focus quickly and complete them over and over again.

So, today I want to tell you about one of the things, that can completely ruin your day. And sometimes – whole week. It's called "context switching".

Machine Learning (ML) technologies are becoming increasingly popular and have various applications, ranging from smartphones and computers to large-scale enterprise infrastructure that serves billions of requests per day. Building ML tools, however, remains difficult today because there are no industry-wide standardised approaches to development. Many engineering students studying ML and Data Science must re-learn once they begin their careers. In this article, I've compiled a list of the top five problems that every ML specialist faces only on the job, highlighting the gap between university curriculum and real-world practice. 

Spring is in full swing as we bring you the hottest winter news of the January Commitfest. Let's get to the good stuff right away!

Previous articles about PostgreSQL 17: 2023-07, 2023-09, 2023-11.

Today, I would like to share my personal story. I hope it helps you get to know me better and maybe benefits your own journey.

Wearable Digital Health Technologies for Monitoring in Cardiovascular Medicine

This review article presents a three-part true-life clinical vignette that illustrates how digital health technology can aid providers caring for patients with cardiovascular disease. Specific information that would identify real patients has been removed or altered. Each vignette is followed by a discussion of how these methods were used in the care of the patient.

In this article, I’m going to discuss something really important. If you’re a data analyst or you want to learn data analysis, please watch this video till the end because it’s really important.

Few days ago, Mira Murati, Chief Technology Officer at OpenAI, introduced the company's latest GPT model - GPT-4o. A new flagship model set to change how people interact with AI.

Hi Everyone.

Recently I got Asus E200H laptop, which I would like to use as a portable computer to work with a high-precision equipment.

Within the scope of the article we will perform the experiment about the upgrade of the default 32 GB eMMC capacitor to 256 GB and will test it.

Have a nice reading!

According to the Oxford Dictionary, empathy is “the ability to understand and share the feelings of another”. In UX, there is a special term “user empathy”. It refers to the ability of UX designers to fully understand what users need from a particular software product. Having user empathy and basing design solutions around users” comfort is one of the most true indicators of a designer”s professionalism. Without that, any product a designer works on has a high chance of turning out to be pointless. Apart from having empathy as a soft skill in general, there are several ways a designer can practice user empathy through different UX methods and techniques. In this article we would like to talk on how a UX designer can treat users with empathy and make the product more accessible for different groups of target audience.

Welcome to my latest article. If you haven't caught my previous ones, I highly recommend checking them out for some really useful content. Today, I'm excited to dive into something special: my top 10 favorite VS Code extensions. These tools are incredibly popular among developers globally, and I believe they're essential for anyone serious about coding.

It's been a while since my last appearance, but I'm excited to be back and to share something truly special with you. In this article, we'll explore my top 10 Google Sheets features that are guaranteed to boost your productivity, speed up your workflow, and make your data handling more efficient. So, without further ado, let's dive into these game-changing tools!

I always pay attention to assessing the complexity of programming in a particular language. Programming is indeed not an easy task and this is perceived as a fact and usually does not require any confirmation.

But the concept of “complexity” is akin to the term “heap”. For some, five coconuts is not so much, but for someone who ate one and “didn’t want any more,” this means that even one coconut will be too much for him.

The same goes for the complexity of programs. It seems that the constant increase in the complexity of programs is obvious to everyone and is observed in all areas of application of IT technologies, and programming languages themselves become more and more complex as they develop, but assessing “complexity” using numerical metrics is a problem. obviously a thankless task, but also “You can’t manage what you can’t measure...”

Typically, talk of “complexity” only implies value judgments without any numerical evaluation. And since I am personally interested in the issue of the complexity of programming languages, I decided to calculate the complexity of implementing the gcc compiler on some conditional “parrots”. What if we could see some patterns of difficulty changing over time?