Articles and guides from practicing developers. Learn new things, find solutions and implement your ideas.
Learn how to use Python modules and libraries for efficient development. In this article, we analyze built-in modules, the installation of external libraries through pip, the creation of own packages and popular tools for beginner developers.
Learn how to read, write, and manage files in Python. Detailed guide with code examples: opening files, reading and writing data, working with CSV and JSON, error handling. Ideal for beginners in programming.
Learn list comprehensions in Python — a powerful tool for elegant list creation. A detailed guide with practical examples, from basic syntax to advanced techniques. Learn how to write clean and efficient Python code.
Learn how dictionaries and hash tables work — the most important data structures in programming. The article explains in simple language the principles of working with key-value pairs, the hashing mechanism, methods for resolving collisions, and practical examples of use.
A detailed guide to basic data types in programming. You will learn what numbers, strings and logical values are, how to work with them, what operations can be performed and how to avoid typical mistakes. The article is written in simple language with many practical examples in Python.
Learn how to use the if, else, and elif conditional operators in programming. A detailed guide with clear examples, practical tasks and analysis of typical mistakes of beginners. Ideal for those who are taking their first steps in Python and want to understand how to create programs that make decisions.
We will analyze why Python and JavaScript continue to hold the lead among programming languages in 2025. Ecosystems, the AI revolution, web dominance, the labor market, and practical use cases — everything a developer needs to know about the most popular languages of our time.
How WebAssembly goes beyond the browser: a practical guide to server Wasm applications, edge-computing and microservices. Code examples, runtime environments, and real use cases.
We explore how AI assistants are changing the way developers work: real benefits, hidden dangers, and practical tips for using GitHub Copilot. Find out who wins in the era of AI programming and who risks being left behind.
In 2025, managing the trust, risk, and security of artificial intelligence will become a key element of companies' technology strategy. In this article, we analyze the concept of AI TRiSM — from explainability and fairness to data protection and regulatory compliance. Learn how to build a reliable and transparent AI system that is trusted by users and laws.
A complete guide to Vibe Coding, a new approach to development where AI transforms your descriptions in plain language into working code. Learn about best practices, tools, limitations, and the future of AI programming.
Learn how Rust and WebAssembly make applications lightning-fast, secure, and able to run directly on edge nodes — closer to the user.
