A look at how Python developers are expanding their toolkits by folding in Rust behind the scenes. From PyO3 and maturin to blazing-fast native modules, real-world speedups like PydanticCore’s 17x and RoughLinter’s 10–100x show why this hybrid approach is taking hold. We explore what this means for AI tooling, data pipelines, and safety-critical hardware—an optimistic shift toward faster, safer software.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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