The Python standard library provides the asyncio module to facilitate writing high-performance concurrent code. By leveraging async/await syntax, it provides a high level API for creating and managing event loops, coroutines, tasks, and performing asynchronous I/O operations. It is used as a foundation for Python asynchronous frameworks that provide high-performance network and web-servers, database connection libraries, distributed task queues, etc. Multiple libraries and frameworks, such as FastAPI and aiohttp, are built on top of asyncio.
The 'F' expression in Django represents the value of a model field or a calculated value based on a model field. It allows you to refer to field values and perform database operations without having to fetch them into Python memory. Django uses the 'F()' object to generate the appropriate database-level SQL expression. This approach improves efficiency by avoiding unnecessary data transfers between the database and Python, making your code faster and more optimized.
AWS Lambda allows for concurrent execution of programs, leveraging Goroutines for non-blocking I/O bound tasks, enhancing performance similar to Node.js asynchronous handling.