A recap on the work done in NumPy and CPython to make multi-threaded NumPy workloads scale on the free-threaded build of CPython.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Free-threaded Python: past, present, and future | 0 | 26.67 | 27-06-2026 |
| 2 | Python⇒Speed: Unit testing your code's performance, part 1: Big-O scaling | 0 | 30 | 10-01-2026 |
| 3 | What Every Python Developer Should Know About the CPython ABI | 0 | 10 | 19-07-2026 |
| 4 | Python 3.6-3.14 Performance | 0 | 8.08 | 10-01-2026 |
| 5 | Ускоряем и оптимизируем numpy, pandas, scipy и sklearn | 0 | 10.35 | 02-06-2026 |
| 6 | PyPy: A new benchmark runner for PyPy | 0 | 7.35 | 20-06-2026 |
| 7 | Разбор threading vs multiprocessing vs asyncio в Python | 0 | 6.08 | 03-02-2026 |
| 8 | 6× faster binary search: from compiled code to mechanical sympathy | 0 | 8.18 | 13-07-2026 |
| 9 | What Every Dev Should Know About the CPython ABI | 0 | 8.6 | 27-07-2026 |
| 10 | pandas vs Polars: Backed by a 10 Million Row Study | 0 | 12.34 | 20-04-2026 |