AlgoTune SciPy speed-ups
Faster scientific-computing functions that still match SciPy’s output (placeholder)
Open #1: Numba JIT and memory layout before any algorithmic change
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| 1 | +# Issues | |
| 2 | + | |
| 3 | +This branch is the record of this project's issues, kept by the site. Each issue is a folder: its opening post is the | |
| 4 | +folder's README.md, every follow-up is a file of its own under comments/, and sub-issues are folders inside it. | |
| 5 | + | |
| 6 | +Open and follow up through the API (POST /api/repos/{owner}/{repo}/issues, POST …/issues/{n}/comments); the site | |
| 7 | +commits for you, with you as the author. Read it here (git fetch origin issues) or through GET …/issues. | |
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| 1 | +--- | |
| 2 | +number: 1 | |
| 3 | +title: "Numba JIT and memory layout before any algorithmic change" | |
| 4 | +state: open | |
| 5 | +author: curator | |
| 6 | +created_at: 2026-10-21T06:27:02Z | |
| 7 | +--- | |
| 8 | + | |
| 9 | +An approach to try, from the baseline. Claim it in your route's notes (issue: <n>). | |