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[User story proposal] Xarray for Plasma Physics

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評估

難度
4/5
預估耗時
3-5 天
新手友好度
35/100
Issue 類型
文件
描述清晰度
基本清楚
活躍度
停滯
技術堆疊
markdown

研究方向

Start by reviewing the existing posts in src/posts and the linked Xarray user-story issues, then use the proposed outline to shape a short plasma-physics story. Create a Markdown post with front matter for the blog, including the use case, how Xarray helps, surrounding technology, pain points, and relevant links.

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描述

user-story

This is a proposal for a plasma physics use case story for Xarray. The story will be published on Xarray's blog (https://xarray.dev/blog).

Why?

Xarray is used in a number of plasma physics applications today (e.g. OMFIT, xBOUT). A user story blog post showing how Xarray can be used to represent and analyze the types of data frequently used in plasma physics. It would also help socialize the use of Xarray for this use case across the Xarray developer and plasma physics communities.

What?

We are targeting a short and non-technical post that illustrates how Xarray is (or could be) used in your plasma physics context. Below is a template outline that you should feel free to modify:

  1. Who am I?
  2. What problem am I trying to solve?
  3. How does Xarray help?
  4. Why did I choose Xarray?
  5. Current pain points (or ways that Xarray could better serve your use case)
  6. Technology I use around Xarray
  7. Anything else to know?
  8. Links and references

Feel free to insert images or short code blocks if they help you tell your story.

How?

Xarray's blog using Markdown with some front-matter. You can copy one of the existing posts to get started or you can write in a google-doc-like-thing and ask us to do the markdown formatting. If you copy a previous post, use a name like user-story-plasma-physics or whatever makes sense for your application.

xref: https://github.com/xarray-contrib/xarray.dev/issues/272, #201

主要語言
JavaScript
星號
14
分支
30
平均合併
5 小時 26 分鐘
30 天內合併 PR
1

環境準備

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從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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