QuantEcon / QuantEcon/QuantEcon.py
How much of the compecon toolkit already exists in Python?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.4k
- Forks
- 2.3k
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 3
Description
I am wondering how much of the functionality of the compecon toolkit already exists in the scientific Python eco-system? Particularly for optimization: PyOpt is just one of many packages available.
When I was at ZICE, I took notes on various Python implementations of the tools and techniques that I was taught. I have a repo with all of the lecture notes.
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 reviewing the compecon toolkit link, the ZICE 2014 notes, and the lecture-notes repository, then compare the described functionality with relevant scientific Python packages, especially optimization tools such as PyOpt. Done means producing a clearly scoped inventory of existing Python equivalents and identifying meaningful gaps.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100