LevT
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akaGM
Цитата:| какие существуют приёмы и средства ускорения исполнения? |
Для начала покормить своей задачей разные питонмашинки?
Вот что наболтала жопота:
> what is the fastest python implementation?
.....
For general Python applications, PyPy often emerges as the fastest due to its JIT compilation capabilities, especially for long-running applications where the JIT can optimize code execution over time. For numerical and scientific computing, Cython and Numba are excellent choices, with Numba being particularly easy to use for speeding up numerical operations. For creating standalone executables and improving execution speed, Nuitka is a promising option, especially for complex projects.
Cython and Numba are particularly useful when you need to accelerate specific parts of your code, while PyPy can offer broad performance improvements with minimal code changes. Your choice depends on your specific needs, such as compatibility requirements, ease of integration, and the nature of the workload (e.g., numerical computations vs. general Python code).
https://chatgpt.com/c/193b412f-53eb-4182-8bc6-db4351c09f4f
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Всего записей: 17833 | Зарегистр. 14-10-2001 | Отправлено: 03:05 19-05-2024 | Исправлено: LevT, 03:14 19-05-2024 |
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