PyPy and the future of the Python ecosystem
summary
Claims PyPy’s JIT yields 7× on benchmarks and removes object overheads like boxed integers, and presents a concrete bridge that runs CPython in-process to reuse C extensions. Prototype work shows a pure‑Python edge‑detection demo moving from 0.41→50 FPS and demonstrates using cffi to bind libraries and a shim that shares memory with NumPy so many C extensions keep working while other code benefits from PyPy’s concurrency and JIT.
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chapters (15)
- 0:00Intro
- 0:36Romains background
- 1:47Current situation
- 2:56Fast languages
- 6:37Libraries
- 7:31Python API
- 8:28PyPy
- 8:52Speed
- 10:00Edge Detection
- 11:21CFFI
- 12:19Steam
- 13:17Perimeter
- 15:04PyPy Alternatives
- 15:35Summary
- 16:00Questions
