Python-Threads sind Arbeitseinheiten, die unabhängig voneinander ausgeführt werden. In CPython werden sie als Threads auf Betriebssystemebene implementiert, dabei allerdings durch das GIL „serialized“ ...

Benchmarking Python's ThreadPoolExecutor vs Go's goroutines for high-concurrency, I/O-bound tasks — simulating real-world use cases like calling external APIs in parallel. ├── go/ │ └── processor.go # ...

The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...

Spans created in tasks that run in a ThreadPoolExecutor should be included in the transactions sent to Sentry when AsyncioIntegration is enabled. Spans created in tasks that run in a ...