matloff / matloff/R-vs.-Python-for-Data-Science

Different Python versions

Open
#17 3 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
No language data
Stars
448
Forks
40
PR merge metrics
No merged PRs in 30d

Description

I'm a CRAN package developer and I have had many people call for a Python implementation of one of my packages. I got a student to create this and we have it all working in base Python but I wanted to take advantage of the same C code that the R package uses.

This is when I ran into Python problems. I've tried several recommended ways of interfacing existing C code to Python but for each way there are Python installs that cannot download and use my package! You have to be using the "right" version of Python in order to be able to use the package. This is just my understanding so please do correct me if i'm wrong on this.

This, to me, is a huge downside of Python right now. Why should a user have to change their software to run my package? I can see an argument for forcing users to upgrade, but most Python packages that run on 2.7 don't run on 2.6 or 3.0. At least with R packages get checked and removed if authors don't update them.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points. Start by clarifying the requested Python/C interface and supported Python versions; done would require an agreed compatibility target and evidence that the package installs on it.

Written by the indexing model from the issue text.

Assessment

Tech stack
c, python, r
Domain
developer-experience
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.