Development

Corporations that dominate the market can impose their conditions on customers. This is also the case with everyone's favorite Netflix. When you make good content and you are sure that your audience wants to consume your content, you can start to increase the subscription price gradually. But the distribution of subscription costs around the world is unequal. This happens not only with Netflix, it happens with many big corporations: Microsoft, Sony, etc.

Naturally, everyone wants to watch high-quality content, but no one wants to overpay for it. And that led to creation of different schemes, for example, the one I'm going to describe here.

The essence of the scheme is simple – you buy a subscription for another region while staying in your home region. Of course, you can do this, but before I describe the scheme in detail, you should understand that Netflix is not as simple as it seems. When buying a subscription, for example, as a user from Pakistan, you should know that only the content that is allowed in that country will be available to you. Meaning, any sign of eroticism in movies, for example, is forbidden there.

And now this scheme appears in a completely opposite light. You can use my scheme if you want to access content that is blocked in your country, but you need to be prepared that the price will not be the same as for your region.

Top Three cheapest countries (in terms of the Netflix subscription price)

We are requesting 20,000,000 euro to place 900 orders on the exchange. What could go wrong?

Today, I will explain how to avoid losing billions in client money when executing large transactions on the exchange. This discussion focuses on an often overlooked and largely invisible problem that arises when handling large requests, particularly HTTP requests, which may not be fully executed. It's surprising how little attention is given to this issue and how few tools there are to address it.

Our task was to implement large-scale management of exchange orders, not just within a single exchange but globally, and to ensure it operates reliably. In this story, you'll encounter clients, servers, and cats. Stories are always more enjoyable with cats.

Do you want to know how to build an AI image analyzer? Then read this article till the end! I'm going to show you how to build AI analyzer tools really simply, so you almost don't have to have any prior knowledge. I will take you step by step, and we will use Project IDX and the Gemini API. This means you don't have to set up anything; everything we will do is on the cloud. If you're ready, then let's get started!

Recently, there has been a lot of talk about the success of artificial intelligence (AI), although this usually means another achievement in the field of generative neural networks.

And few people, speaking about AI, try to explain what they themselves understand by the term “artificial intelligence.” After all, it’s one thing to write about “AI problems,” and quite another to endow an ordinary computer algorithm with at least the rudiments of intelligence.

After all, the etymology of the established phrase “artificial intelligence” is not unambiguous and can take on different meanings depending on what meaning the author is trying to put into it.

Quantum computers have gradually migrated from “natural” quantum objects like ions and quantum dots to “artificial” objects like transmons, where natural frequencies of LC circuit mimic energy levels. Coaxial cables attached to such circuits excite the system, read their state, and adjust their properties. They are still quantum objects and operate at low temperatures.

I wondered if a similar system can be built with large “classical” mechanical objects. Here I demonstrate 2 -qubit quantum computer built of coupled pendulums.

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, 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!

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.

Governments in many countries restrict citizens' access to information and services on the Internet in one way or another. Combating such censorship is an important and difficult task. Usually simple solutions cannot boast about high reliability or long-term efficiency. More complex methods of overcoming blocks have disadvantages in terms of usability, low performance, or they do not allow you to maintain the quality of Internet use at the proper level.

A group of American scientists from the University of Illinois has developed a new method of overcoming blocks, which is based on the use of proxy technology, as well as segmenting users by trust level to effectively identify agents working for censors. We present you with the main theses of this work.

Description of the approach

Scientists have developed the Salmon tool, a system of proxy servers operated by volunteers from countries without restrictions on Internet use. In order to protect these servers from blocking by censors, the system uses a special algorithm for assigning a level of trust to users.

The method involves exposing potential censor agents that pose as ordinary users in order to find out the IP address of the proxy server and block it. In addition, countering Sybil attacks is carried out through the requirements to provide a link to a valid social network account when registering in the system or to receive a recommendation from a user with a high level of trust.

How it works

It is assumed that the censor is a state–controlled body that has the ability to take control of any router within the country. It is also assumed that the task of the censor is to block access to certain resources, and not to identify users for further arrests. The system cannot prevent such a course of events in any way – the state has plenty of opportunities to find out what services citizens use. One of them is the use of honeypot servers to intercept communications.

It is also assumed that the state has significant resources, including human ones. The censor can solve tasks that require hundreds and thousands of full-time employees.

A few more basic theses:

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.

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?