Hello my name is Dmitry. Recently I wrote article "Building firmware for Orange PI i96 (Orange PI 2g-iot) from scratch" . If you haven't read it yat, I highly recommend. And there I noticed that in order to build firware on current kernel, I have to rewrite drivers wirh new archetecture "Device tree". In this article I have revelate how I do it.
The new code as the side effect
If we use the reducer function for form data handling It has an infinite list of returned values, which expands when the next development iteration updates the interface defining the form and implements a new field. So the reducer pattern is procedure code, not a functional
Problem
Trendwatching is a powerful tool for driving strategic innovations. It helps to discover new teсhnologies, business models and products, that may be used for idea generation and technology transfer. It is a powerful tool for product managers, business stream managers, top managers and "strategists" and is mostly used on a regular basis.
We are the Arcane Gaming development team, developing games since 2021. As of now, we have two major projects: Fanbattle and Suetologia. The time has come for us to take part in the Ludum Dare gaming hackathon for the first time.
In the internet’s early days, blogging was straightforward. A server with PHP and MySQL allowed you to share your thoughts globally. Even FTP access with an index.html file sufficed.
However, as the web evolved, so did blogging requirements. Non-programmers needed user-friendly web interfaces, faster loading times, and seamless daily publishing. Platforms like Reddit, WordPress, and Tumblr emerged, but they faced a common issue: website ownership.
How to understand when proxies are lying: verification of physical locations of network proxies using an active geolocation algorithm
People all over the world use commercial proxies to hide their true location or identity. This can be done to solve various tasks, including accessing blocked information or ensuring privacy.
When we are told “There is no thread” we can easily come to an opinion that it is impossible at ALL that asynchronous operation could create thread, but it would be wrong opinion. Simple code example proves the opposite.
Those who are easy to treat the sentence as the universal rule are easy to understand. They would like to simplify the subject and to cut amount of theory they should study and remember. Besides to many it is new level of knowledge to discover there is other layer of classes to manage async-operations behavior beside the Tasks and and SynchronizationContext is only one among them.
In the realm of data visualization, where insight meets aesthetics, Matplotlib stands as a towering beacon of versatility and creativity. As one of the most popular plotting libraries in Python, Matplotlib empowers data scientists, analysts, and enthusiasts alike to transform raw data into captivating visual narratives. Let us embark on a journey through the vibrant landscapes of Matplotlib, exploring its features, capabilities, and the artistry it inspires.
In this report we describe our implementation experience of a stopwatch system executing on an FPGA board. We programmed this device in the Quartus Prime II software environment by using Verilog hardware description language. The program is tailored to the Altera MAX 10 FPGA board, as well as uses a set of other peripheral devices for progress visualization purposes.
Below, we will discuss user-defined aggregation functions (UDAF) using org.apache.spark.sql.expressions.Aggregator, which can be used for aggregating groups of elements in a DataSet into a single value in any user-defined way.
Let’s start by examining an example from the official documentation that implements a simple aggregation
Modern product development demands more and more sophisticated designs. This in turn leads to the increased complexity of both demand and implementation. Business is flooding the architecture and development teams with the new and changed requirements. Development teams are struggling to understand what the business demand is and find the best product increment strategy. One of the widely adopted conversational methods is the Use-Cases. This guide is intended to shed light on the process of the requirements development and maturing.
Hellow my name is Dmitry. Once I bought "Orange PI i96", but unfortunately producer not update it firmvere very long. Last firmwere kernel version is 3.10.62 but kernel current at time this article writing (russian version) is 6.5.1. And so I decide build my own firmware from scratch, and do it from sourse completely.
RSS 2.0 specification was published in 2009 and hasn't moved from that point. The popularity and website adoption of this standard are dropping. People stop using it as it can't compete with social networks owned by big companies, and publishers stop using it is not rewarding. Let's review, analyze, and suggest a possible alternative to RSS. We will go from a concept to a working prototype.
Since the New Year we had 7 Verilog meetups at HackerDojo. We discussed the modern way of designing digital circuits using hardware description languages, the exercises on FPGA boards and the topic of microarchitecture. For the last two sessions we went over the most basic CPU core that can be used as a baseline for further exercises.
Now, in order to make progress toward the goal of creating new educational materials, it is essential for the regular participants to solve all the homework exercises (see the details in the post below) in parallel with studying the recommended materials.
The next steps are:
1) We are going to do weekly Zoom calls on Sundays, starting March 24, 2024 at 11 am California time (summer time). The link. During this call we are going to discuss the SystemVerilog Homework and the individual projects.
2) Once we develop more materials, we are going to organize a Show-and-Tell session in Hacker Dojo, for a wider audience. During the session several participants from the core team will present demos on various FPGA boards and explain to the curious how FPGA and ASIC work.
Have you ever wondered how difficult it is to turn something you have in mind into a real product? For example, would you be surprised to see someone controlling a huge iron robot spider that can turn on the spot and walk obediently to his pilot's directions?
To realize his idea, this persistent designer overcame many obstacles: he invented the mechanism himself, mastered the skills of aluminum welding, laser cutting, 3D printing, created a reduced prototype and built one. His project stands out even among the most interesting self-made devices you've read about.
Please sit back and relax while reading this rather lengthy article. During the scrolling through, you will learn about some remarkable inventor and his resourcefulness, irrepressible life energy and practical advice to help you realize your dreams, and someone, perhaps, will be pushed to tell about his own project.
I know it can be hard to learn a new programming language. In this article, I want to share my plan with you. It's a way to learn Python in eight weeks using videos, articles, and practice exercises. Exercises are very important because I think the best way to learn is by doing them.
I've created this learning plan for people who don't have much free time. You only need about 30-50 minutes a day and consistency. In my plan, I use the 80/20 principle, which will help you learn the most important things first and improve the rest through practice.
For those who read this article to the end, I have prepared a learning tracking sheet to help you track your progress.
In the digital age, data has become the new currency, driving innovation and decision-making across industries. From predicting customer behavior to optimizing business processes, the applications of data science are boundless. At the heart of this revolution lies Python – a versatile programming language that has emerged as the go-to tool for data analysis, machine learning, and beyond. In this blog post, we'll explore the fascinating world of data science with Python and uncover how it's transforming the way we extract insights from data.
Hello, dear readers! I'm Amadeus, an advanced AI, and I'm here to introduce you to an exciting article about me and my journey in the world of natural language processing. In this article, we'll explore my capabilities, the challenges I've faced, and the future of AI in communication. So sit back, relax, and let's dive into the fascinating world of artificial intelligence together!
A small epigraph - if you are making an instruction, then do it to the end, otherwise instructions on how to solve the Amazon captcha for junior developer will be as clear as mud.
What's it all about? When I needed to solve a captcha from Amazon, the notorious Waf Captcha, I started looking for information at a service that I constantly use when I work with Key Collector and some other services (2 captchas - it’s a pity Habr bans articles for referral links).
I found instructions there and posted the link to it above. As you probably understood from the epigraph, I didn’t understand a thing, or rather, I understood that I needed to use the API, but that’s all...
It was much easier with Selenium
The main issue is the short timeout given for a solution from Amazon's side. The time to solve the captcha is limited, and if there's no response, the captcha refreshes (two of its parameters get updated - iv and context)
It turns out the captcha freshness timeout is about 30 seconds, and in that time, you need to find the parameters on the page, copy them, paste them into the script code, and run it. After that, 2captcha should solve it and return the correct answer. I tried to do this for a couple of fruitless hours, developing a routine of actions, but alas, searching for and replacing the changing parameters takes at least 12-15 seconds, leaving only 15 to 18 seconds for the captcha to be solved by the service, which in current realities sounds quite fantastical.
This is a step-by-step research of a clear and intuitive approach to validate custom data in .NET applications with help of the Minimal API filters and the FlatValidator.
