Running regular tutorials independent of events
還沒有人認領這個 Issue。
評估
- 難度
- 5/5
- 預估耗時
- 一週以上
- 新手友好度
- 25/100
- Issue 類型
- 功能
- 描述清晰度
- 需要釐清
- 活躍度
- 停滯
- 技術堆疊
- jupyter-notebook
研究方向
Start by reading the existing tutorial materials, the Dask community issue 57, and the linked guide on running tutorials. Review feedback from the SciPy 2020 tutorial and determine how the materials should be restructured for different audiences. Done would mean agreeing on the regular xarray tutorial approach and preparing for the planned first session.
由索引模型根據 Issue 內容生成。
描述
The Dask team has been running regular, community, 90 minutes tutorials since June 2020, and these tutorials appear to have worked well (see https://github.com/dask/community/issues/57). @mrocklin and @jacobtomlinson put together a nice guide on how to run such tutorials: https://blog.dask.org/2020/08/21/running-tutorials.
I am interested in running similar, regular xarray online tutorials. @martindurant and @dcherian generously offered to help out. We are planning on having the first session on Friday October 2nd. As we start getting the content ready, I am wondering if folks who delivered the most recent tutorial at SciPy 2020 would be interested in sharing the feedback they received? We could use the feedback to re-structure the existing tutorial materials so as to cater to different audiences for different tutorial sessions.
- 主要語言
- Jupyter Notebook
- 星號
- 204
- 分支
- 121
- PR 合併指標
- 30 天內沒有已合併 PR
貢獻指南
從這裡開始
- 先讀完整個 Issue,再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫,在一個分支上完成修改。
- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
xarray-contrib/xarray-tutorial 的其他 Issue
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難度 2/5 1-3 小時 新手友好度 75/100
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難度 2/5 1-3 小時 新手友好度 55/100
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難度 5/5 一週以上 新手友好度 35/100
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難度 4/5 3-5 天 新手友好度 38/100
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