Avg merge 1d 1h (Avg merge 1d 1h)2 merged PRs in 30d (2 merged PRs in 30d)
Description
Cf. QuantEcon/QuantEcon.py#248
Contributor guide
Research direction
Study the DiscreteDP module in QuantEcon.jl and the referenced issue in QuantEcon.py to understand the expected API. Look at existing similar functions like `value iteration` or `policy iteration` for patterns. Then implement the `state values` and `action values` functions following the same structure.
Tech stack
julia
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
JuliaGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65
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