QuantEcon / QuantEcon/lecture-python.myst
speed/accuracy comparisons using glue functionality
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Description
Once we switch over to myst-nb / jupyter-book, the glue functionality will be idea for cross-lecture numerical comparisons involving solution methods for dynamic programming.
https://myst-nb.readthedocs.io/en/latest/use/glue.html
For example, in our discussion of the optimal growth model and elsewhere, we compare different algorithms in different lectures. To compare execution speed without repeating code, we can glue/paste results from other lectures.
CC @najuzilu @Harveyt47 (and @choldgraf since the application might be interesting).
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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 with the linked myst-nb glue documentation and review the optimal growth model and other lectures that compare solution methods. Define which execution-speed and accuracy results should be shared across lectures, then verify that the comparisons work without repeating code.
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Assessment
- Tech stack
- jupyter, python
- Domain
- documentation
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100