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Anton GoncharovAI systems developer
RUEN

Python Programming in Examples and Exercises

Alexey Vasiliev

  • Programming
  • Python

A Python textbook from syntax to working with different data types, classes and threads. Each topic comes with worked examples and exercises to check what you’ve learned.

Key ideas

  1. Lists, dictionaries and sets solve most tasks — what matters is choosing the right structure.
  2. Generators save memory on large data.
  3. Exceptions are part of a program’s normal flow and need to be thought through in advance.
  4. Threads speed up network and file work but require care with shared data.

How I apply it

Concurrent requests are an everyday task in AI agents: models, external APIs and databases respond with a delay, and without concurrency an agent is slow.

Where and how I applied it

  • Demo · Python scraper · runs in the browser

    Competitor price monitoring

    The parser crawls three competitors’ sites in parallel with asyncio.

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

    Marketplace review analytics

    Reviews from Wildberries, Ozon and Yandex Market are collected at the same time, each marketplace with its own pagination.

  • Demo · Python backend · webhooks → amoCRM and Bitrix24

    Lead integration hub

    Leads are delivered to CRM in parallel, with retries when the CRM is down.

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