Calling FSDA routines from python

Aperta
#212 13 commenti 4 reazioni 0 assegnatari Vedi su GitHub

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
5/5
Tempo stimato
Più di una settimana
Idoneità per principianti
18/100
Tipo di issue
Funzionalità
Chiarezza
Da chiarire
Stato di attività
Tranquilla
Stack tecnologico
python
Ambito
api

Direzione di ricerca

The issue proposes a Python package that exposes FSDA routines and lists API design, MATLAB interfaces, packaging, documentation, testing, and Jupyter visualizations, but it names no files or tests. Start by reading the repository materials and identifying how FSDA is currently provided. Done would require a defined scope and working Python interface; the issue does not specify those criteria.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

Given that some of you have already completed the exams and may have some time available, I would like to propose an interesting project that could have a significant impact on the visibility and adoption of FSDA.

Project Goal

The objective is to make the interactive and exploratory capabilities of FSDA available to Python users. Many data scientists and statisticians work primarily in Python, and providing access to FSDA functionality through a Python interface would greatly expand its user base.

From a strategic perspective, the overall direction is already quite clear. The idea would be to create a Python package that exposes FSDA functions in a way that is natural and familiar to Python users. For example, one could imagine a workflow such as:

import FSDA as fs

fs.CorrNominal(...)

where Python users can call FSDA functions directly, while leveraging the powerful algorithms and interactive tools already available in the FSDA ecosystem.

Looking for Collaborators

At this stage, I am not asking for implementation details but rather trying to identify students and collaborators who would be interested in contributing to this initiative.

The project would involve several aspects, including:

  • Designing the Python API.
  • Building interfaces between Python and MATLAB/FSDA.
  • Packaging and distribution.
  • Documentation and examples.
  • Testing and maintenance.
  • Exploring opportunities for interactive visualizations within Python environments such as Jupyter notebooks.

A small team of motivated people will be needed to coordinate the effort and define the development roadmap.

If you are interested in contributing, learning about software development for scientific computing, or helping bring FSDA to a broader community, please let me know. Once we have identified interested participants, we can organize a meeting to discuss possible approaches, roles, and timelines.

I believe this could become a very valuable project, both from a research and a software-development perspective.

Lingua principale
MATLAB
Stelle
30
Fork
1
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Preparare l'ambiente

Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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