Calling FSDA routines from python
まだ誰も着手していません。
評価
調査の方向性
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.
索引モデルが issue の本文から書いたものです。
説明
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.
- 主要言語
- MATLAB
- スター
- 30
- フォーク
- 1
- PR マージ指標
- 30日以内にマージされた PR はありません
環境構築
このプロジェクトには開発コンテナ、Dockerfile、コントリビューションガイドがありません。まず README を読み、一般的な手順ははじめてのコントリビューションガイドを参照してください。
はじめの一歩
- issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
- 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
- リポジトリをフォークし、ブランチを切って変更します。
- issue 番号を参照したプルリクエストを送ります。
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