twosigma / twosigma/beakerx

Data Catalog should be language sensitive

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Dominant language
Jupyter Notebook
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Forks
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Description

auto detects language of the notebook you drag into.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by locating the Data Catalog implementation and the path handling a notebook dragged into it. Determine how notebook languages are identified and which language-sensitive behavior is expected; done should mean the catalog automatically responds appropriately to the dragged notebook's language.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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