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multiprocessing

2 painsavg 7.0/10
performance 1architecture 1

Python's Global Interpreter Lock (GIL) limits concurrent performance

8

The GIL remains unresolved, forcing developers to use workarounds like multiprocessing or rewrite performance-critical code in other languages. This blocks real-time applications and makes Python non-competitive for high-concurrency workloads.

performancePythonmultiprocessing

Lack of standard API for inter-process data sharing

6

Python lacks a standard, well-designed API for sharing data between processes. The multiprocessing.Queues are limited and third-party libraries implement parallelism in inconsistent ways, forcing developers to build custom RPC solutions or choose between incompatible approaches.

architecturePythonmultiprocessing