Did you know that coding tools have evolved so rapidly that they're now shaping the future of programming itself? As technology advances, platforms like Replit are leading the charge, making coding more accessible and collaborative than ever before. In this article, I'll show you what Replit is and how to use it.
Are you tired of writing messy and unorganized code that leads to frustration and bugs? You can transform your code from a confusing mess into something crystal clear with a few simple changes. In this article, we'll explore key principles from the book "Clean Code" by Robert C. Martin, also known as Uncle Bob, and apply them to Python. Whether you're a web developer, software engineer, data analyst, or data scientist, these principles will help you write clean, readable, and maintainable Python code.
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.
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.
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.
Exception handling in Java is the most effective way to handle runtime errors occurring in the application. This is used to protect the abnormal flow of the execution of the application and continue the application in normal flow. This is the process of handling runtime errors such as ClassNotFoundException, IOException, etc. The throw and throws keywords are used to handle exceptions in Java.
In this topic, we will learn how to use throw and throws keywords in Java with examples.
Many of us have heard stories where one was able to complete days worth of work in minutes using AI, even being outside of one's area of expertise. Indeed, often LLM's do (almost) miracles, but today I had a different experience:
Surprisingly, there are strict mathematical methods that literally allow to hear visual geometric forms and, conversely, to see the beauty of musical harmonies...
In this tutorial, I want to talk about the practical experience of native compilation of a production application written in Kotlin with Spring Boot and Gradle using GraalVM. I’ll start right away with the pros and cons of the native compilation feature itself and where it can be useful, and then I’ll move directly to the build process for MacOS and Windows.
At the end of the article, in the afterword block, I will talk in more detail about the project and why such a need arose, given quite a few limitations and pitfalls of supporting native compilation both from Spring Boot and from GraalVM.
— Glitchy couch! — Anton exclaimed, yet another time crushing down his fingers by heavy coach he and Sergey were pulling for 14 storeys already.
— ‘Glitchy’? — Sergey asked — have you been coder in the past too?
They’ve been working almost a week together, but Sergey would have never suspected he was coder in the past. Lean and muscular Anton did not look the part at all.
— I had to in my student years, — Anton answered, abashed.
— Relax! One of us. Layout, three years and JS for every browser out there, — Sergey perked up, pushed the couch and pressed it a bit forcefully on Anton.
Software message brokers became the standard for creating complex systems. However not all IT specialists understand how these instruments work. Pavel Malygin, Lead System Analyst at Innotech, dives into the topic of message brokers and explains how they are used.
This question comes up for a lot of us as we trying to advance our career and reach new heights. At the moment when I was challenged by it, I came across a wonderful book by Edmond Lau "Effective Engineer".
As always going through the book, I write new thoughts down. And today I want to share the compilation of things that I have found useful from the book. This is by no means an ad for the book, but I think it has some really interesting approaches for us to explore together.
You decided to make an app that works with SVG. Encouraged by the enthusiasm, you collected libraries and successfully made the application. But suddenly you find that the app is sending strange network requests. And data is leaking from the host-machine. How so?
Since 2011 all Intel GPUs (integrated and discrete Intel Graphics products) include Intel Quick Sync Video (QSV) — the dedicated hardware core for video encoding and decoding. Intel QSV is supported by all popular video processing applications across multiple OSes including FFmpeg. The tutorial focuses on Intel QSV based video encoding and decoding acceleration in Windows native (desktop) applications using FFmpeg/libavcodec for video processing. To illustrate concepts described, the open source 3D Streaming Toolkit is used.
We present a guide to name entities in code based on putting naming in perspectives of semantic space, design, and readability.
The main idea is that naming should not be considered as creation of tags, but as a fundamental part of design process, which implies integral and consistent vocabulary to be used. We discuss naming process and naming formalism from these perspectives and we provide guidelines for practical use.
The work is based on 15 years of experience in engineering work, coding and development management in high-tech industries.
Setting up Atom for working with python is quite a tricky task. I've spent a lot of time making it work. Autocompleting, autoformatting, type hints, and much more will be available to you after reading this tutorial.
In this series, we will be discussing interesting aspects and corner cases of Golang. Some questions will be obvious, and some will require a closer look even from an experienced Go developer. These question will help to deeper the understanding of the programming language, and its underlying philosophy. Without much ado, let's start with the first part.
What value y will have at the end of the execution?
func main() {
var y int
for y, z := 1, 1; y < 10; y++ {
_ = y
_ = z
}
fmt.Println(y)
}
According to the specification,
Most solutions to algorithmic problems can be grouped into a rather small number of patterns. When we start to solve some problem, we need to think about how we would classify them. For example, can we apply fast and slowalgorithmic pattern or do we need to use cyclic sortpattern? Some of the problems have several solutions with different patterns. In this article of series Algorithms in Go we consider an algorithmic pattern that solves an entire class of the problems related to a matrix. Let's take one of such problems and see how we can handle it.
How can we traverse a matrix in a spiral order?
