Explore Jupyter Notebook integration
还没有人认领这个 Issue。
评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 20/100
- Issue 类型
- 功能
- 描述清晰度
- 需要澄清
- 活跃度
- 停滞
- 技术栈
- jupyter-notebook, python
调研方向
首先查看 issue 中提出的 Jupyter Notebook 交互：安排编排、通过 API 监控它们、将其可视化，以及以交互方式定义编排。在实现之前，确定哪个单一用例具有明确的成功标准，并找出相关的 Python 库入口点和测试；该 issue 目前未指定任何文件或测试目标。
由索引模型根据 Issue 内容生成。
描述
The Idea
For Data Science, computational notebooks are the main development environment. Durable Functions should have a story around this and maybe allow users to monitor their orchestrations via a nifty API that they can easily call on a notebook.
There might also be other interactions we would want customers to have with Durable when working on a notebook. I think this is really exciting and opens the door to augmentations of our programming model, now in a more interactive setting.
Some Options
- What if customers were able to schedule orchestrations directly from notebooks? What would that look like?
- What if customers wanted to visualize their orchestrations in a notebook? Notebooks these days allow for embedded HTML graphics, so this would be an interaction customers might expect and be familiar with.
- Since notebooks are interactive, maybe our programming model could evolve to be more interactive too. Here's an idea: what if we allowed users to define orchestrations in parts? Say, a customer implements a partial orchestrator in a cell, runs the code provided so far, and visualizes that result; as is common in DataSci. Then, looking at the data in that partial state, they can make an informed decision as to what transformations to run next and so they complete the orchestrator code in another cell, and the orchestrator resumes from there.
Question to the community:
If you are a Durable Functions for Python early adopter, and you are interested in using it for Data Science, what are some ways in which you would like to interface with Jupyter notebooks? Feel free to think big, and be creative, as I think there are opportunities for innovating here.
- 主要语言
- Python
- 星标
- 157
- 派生
- 70
- PR 合并指标
- 30 天内没有已合并 PR
环境准备
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- 没有 Dockerfile 或 Docker Compose 文件
- 没有 Pull Request 模板
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Azure/azure-functions-durable-python 的其他 Issue
-
Enhancement fixed-in-v2 P3
难度 2/5 1-3 小时 新手友好度 72/100
Azure/azure-functions-durable-python#617 · 1 条评论 ·
-
bug Debuggability fixed-in-v2 P2
难度 2/5 1-3 小时 新手友好度 72/100
Azure/azure-functions-durable-python#587 · 2 条评论 · 1 个 reaction ·
-
Custom object serialization broken for orchestrator return values可能已有人在做 @andystaples 于 68 天前认领。 未关闭bug fixed-in-v2 P2
难度 2/5 1-3 小时 新手友好度 75/100
Azure/azure-functions-durable-python#568 · 1 条评论 ·
-
bug fixed-in-v2 P3
难度 2/5 1-3 小时 新手友好度 72/100
Azure/azure-functions-durable-python#475 · 1 条评论 ·
-
Enhancement fixed-in-v2 P3
难度 4/5 3-5 天 新手友好度 62/100
Azure/azure-functions-durable-python#618 · 1 条评论 ·
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