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enhancementhelp wanted
Description
Cf. QuantEcon/QuantEcon.py#248
Contributor guide
- Tech stack
- None
- Domain
- data
- Issue type
- feature
- DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
- 3
- Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
- 1-2 days
- Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
- stale
- ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
- unclear
- Prerequisites
- Julia basicsDiscreteDP algorithm
- Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
- 30
- Research direction
- The contributor should first review the referenced Python issue (QuantEcon/QuantEcon.py#248) to understand the requested functionality. Then, examine the existing DiscreteDP implementation in the Julia repository, likely in src/discrete dp.jl or similar, to identify where to add the new methods. No additional comments or maintainer guidance are available, so the contributor should infer the expected API from the Python counterpart.