Articles and guides from practicing developers. Learn new things, find solutions and implement your ideas.
Relational and NoSQL databases are two different approaches to storing information. In this article, we will explain in simple terms how they differ, where each is best suited, and how to choose the right one for you.
We'll figure out what backend does, why you need Python, and how to choose between Django and Flask. Simple, clear and inspiring
DevOps combines development and administration to create products faster and more reliably. In this article, we explain in simple terms what it is, why a programmer needs it, and how to start your journey in DevOps.
Code errors can be costly. Let's figure out how to avoid the most common vulnerabilities and make the project secure.
Docker helps you run projects without errors on any computer. In this article, we explain in simple words what containers are, why even novice developers need them, and how to start working with them.
API is a language of communication between programs. Let's analyze in simple words how it works, why every developer needs it and where it is used in real projects — from weather to neural networks.
Understanding binary search helps you search not only for numbers, but also for the right solutions. Let's figure out how this smart algorithm works and where it hides in our lives.
Unity and Unreal Engine are two powerful engines that you can use to start making games, even if you have never programmed. Let's analyze the difference and how to make your first project.
Two popular frameworks — one choice. Let's figure out the difference between Flutter and React Native, which one is easier to start with, and what to choose for your first mobile development with Kodik.
We understand why some applications are made separately for Android and iOS, and others - with one code for all at once.
Let's analyze in simple words how artificial intelligence really "learns". What happens inside a neural network and why it has become the main tool of the data age.
A step-by-step guide for beginners: what is machine learning, how scikit-learn works, and how to create your first Python model. Everything is simple, clear and without boring theory.
