Python offers popular backend frameworks such as Django and Flask, known for rapid development. However, Python’s Global Interpreter Lock (GIL) can limit true parallel execution of threads in a single process, potentially affecting scalability in CPU-bound scenarios. That said, Python can scale horizontally through multi-process architectures or leveraging async frameworks like FastAPI, which improve its performance for scalable backend services.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.