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feat: expose DataFrame.bqclient
to assist in integrations
#519
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
DataFrame.session
to assist in integrationsDataFrame.bqclient
to assist in integrations
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Nice tutorial!
@@ -1,5 +1,27 @@ | |||
{ | |||
"cells": [ | |||
{ | |||
"cell_type": "code", | |||
"execution_count": 1, |
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Just curious, how much do we care about these execution_count
in notebooks? We are having two execution_count = 1 in this file.
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I don't think we really care. I recommend using the ReviewNB link above to review as a rendered version: #519 (comment)
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} |
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Is this empty cell (line 416-422) intended here?
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Good catch. I've removed the empty cells and made an update to the "Returning a BigQuery DataFrames (bigframes) DataFrame" sample.
* feat: expose `DataFrame.session` to assist in integrations * add code sample for sharing when the service account is only known on the backend * expose bqclient instead * start a DF construction sample * finish read sample
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Fixes #<issue_number_goes_here> 🦕