Skip to content
Anton GoncharovAI systems developer
RUEN

Python by Example: Practice, Practice and Only Practice

D. M. Koltsov

  • Programming
  • Python

A Python workbook: language basics, object-oriented programming and metaprogramming. Minimal theory: every topic is covered through examples you can run and modify.

Key ideas

  1. A language is learned hands-on: example → run → modify → new example.
  2. Classes in Python are objects too; they can be created and changed while the program runs.
  3. Decorators and metaclasses are for repeated logic, not for show.
  4. Readability matters more than brevity: good Python code is clear on the first read.

How I apply it

Python is my main language. I build AI agent and bot backends with it, including this site’s FastAPI API. Decorators for retries, logging and checks are in almost every project.

Where and how I applied it

  • Demo · Machine learning in Python · runs in the browser

    Marketplace review analytics

    Each marketplace has its own source class with a shared fetch method, so Wildberries, Ozon and Yandex Market go through the same code; sentiment and aspects run on scikit-learn.

  • Demo · Python scraper · runs in the browser

    Competitor price monitoring

    A Python price parser with pytest tests that runs right in the browser via Pyodide: three sites, three parsers.

More on the shelf

  • Reading

    Hands-On APIs for AI and Data Science

    Ryan Day

    A practical book on building an API for data and connecting AI to it. The running project is a FastAPI service with a database and documentation, then an SDK for it, using the API in analytics and, finally, LangChain agents that call the API themselves.

    AI and agentsPythonAPIApplied in 3 projects

  • Reading

    Server Applications in Python, Django, Flask and FastAPI

    R. S. Bukharev

    The path of server-side development in Python, from sockets and protocols to architecture and launch on a server. Django, Flask and FastAPI are covered through real projects: a CRM system, a Telegram bot with server-side logic, a REST API for a mobile app and a WebSocket chat. Separate chapters cover caching and scaling, Docker and Kubernetes, PostgreSQL, MySQL, SQLite and MongoDB, and security: password hashing, JWT and OAuth 2.0, protection against SQL injection, XSS and CSRF, TLS.

    ProgrammingPythonBackendApplied in 1 project