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Python 3.15 adds lazy imports and faster experimental JIT execution
Python 3.15 adds explicit lazy imports and reports experimental JIT gains of 7–8% on x86-64 Linux and 11–12% on AArch64 macOS. Engineers can assess the startup and runtime changes against their workloads.
- What
- Python 3.15.0 is a major release with interpreter, standard-library, typing, and C API changes.
- How
- New features include explicit lazy imports; the experimental JIT improved performance by 7–8% on x86-64 Linux over the standard interpreter.
- Why it matters
- Lazy imports target faster startup, while the JIT and C API changes offer engineers new performance and observability options.
Read on python.org → Hacker News · 99 commentsLobsters · 2 comments
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