Comments (4)
Should there be a global data directory (to reuse datasets across atoms) or is data replicated potentially in each atom?
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Ensure that someone isn't left hanging if they're not online? (can embed simple data sets in GitHub and use PySAL examples too for more advanced tutorials).
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Need to remember to copy data used into final 'compiled' notebook directory. But then need to think about size of the data sets as well.
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Was wondering if perhaps the best way is to make use of the data sets distributed with PySAL? Or we could have in the README for each atom: "Tutorials in this folder should use one of the following two data sets: A, B." We don't need to allow everyone to bring their own data to the party as that's not the purpose...
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Related Issues (14)
- Reading, sub-setting, writing notebooks HOT 1
- Specification of @include HOT 4
- Metadata Tracking HOT 4
- Recursion in Imports
- Management of Questions & Answers / Quizzes & Exams HOT 5
- Selecting and Including Content HOT 1
- Setup testing infrastructure HOT 3
- Support Python 3 HOT 1
- Excludes only work on first match
- FR: Support remote notebooks HOT 5
- Change resource to nb HOT 2
- Conversion of markdown files to notebooks HOT 7
- Develop specification for structure of atom notebooks HOT 8
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