Tell me more about your experience: versions, scaling, load.

In my Python experience, I have worked with several versions, starting from 2.7 and transitioning to 3.x, primarily using 3.6 and above.

Regarding scaling: I have participated in projects where applications scaled horizontally using containerization (Docker, Kubernetes), and also employed load balancers and caching (Redis, Memcached) to improve performance.

The load varied from a few hundred to tens of thousands of requests per minute. To ensure stability, monitoring (Prometheus, Grafana) and code optimization, including asynchronous libraries (asyncio, aiohttp) for handling a large number of concurrent connections, were used.