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Just a wild idea, not sure how useful... But seems quite a bit.
Use case: I have some data and want to quickly show it to a colleague in another city. What's the sanest and easiest way to do it? Well, typically, we'll save the file, and then share file somewhere... But there can be this:
dataframe.first(1000).to_gist(access_token: '123456',format: :csv,name: 'data1')# => prints URL https://gist.github.com/zverok/44971da8a59b07521a0914b657ff770fdataframe.first(1000).to_gist(access_token: '123456',format: :markdown,name: 'data2')# => prints URL https://gist.github.com/zverok/535ed082eaae7c5bf2a42fcda9676b42
(Both URLs I've created just for this demo)
This way, you can send links to your data to friends without ever leaving your IRuby notebook, or IRB session, or folder with data processing scripts.
CSV one is simpler to implement (our CSV exporter + Gist API, which is reasonable and well-documented), but Markdown also seems cool.
The text was updated successfully, but these errors were encountered:
Exporting as markdown is something that can definitely be worked on (similar to HTML, a table-like UI seems intuitive?). Also, based on discussion here and at #56, I see foreshadowing that daru-io could also be supporting to cloud upload (like Gist) along with exporters. Nevertheless, this idea seems good to me.
Just a wild idea, not sure how useful... But seems quite a bit.
Use case: I have some data and want to quickly show it to a colleague in another city. What's the sanest and easiest way to do it? Well, typically, we'll save the file, and then share file somewhere... But there can be this:
(Both URLs I've created just for this demo)
This way, you can send links to your data to friends without ever leaving your IRuby notebook, or IRB session, or folder with data processing scripts.
CSV one is simpler to implement (our CSV exporter + Gist API, which is reasonable and well-documented), but Markdown also seems cool.
The text was updated successfully, but these errors were encountered: