Add documentation and examples for Numba acceleration
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 42
- Forks
- 18
- Avg merge
- 1m
- Merged PRs (30d)
- 1
Description
We have Numba integration in Sugarscape example, but no proper comprehensive doc on how to effectively use it for other models.
Numba's usage isn't well-documented in the main documentation. The Sugarscape example shows how it's used, but this approach isn't generalized or explained in a way that would help users implement similar acceleration for other models.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the existing Numba integration in the Sugarscape example and the main documentation to understand what is already covered. Document how users can apply the demonstrated approach to other models, with examples beyond Sugarscape. Done means the generalized usage and effective acceleration guidance are explained clearly in the main documentation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, performance
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100