Python strategy panel
summary
Companies report Python as the dominant language for backend, data pipelines and ML while only low‑latency vehicle chips, frontends and some Kubernetes operators use C++/Java/Go; several teams still run legacy Python 2.7 monoliths undergoing gradual deprecation. Package vetting uses GitHub stars, recent commits, license checks and vulnerability scanners; deployments rely on Docker images, locked requirements and a CI pipeline that enforces tests and security gates. Style and automation (use Black, linters and pre‑commit) enforce readability, teams avoid metaclass “black magic” and selectively adopt static typing for shared libraries.
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