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Notes

Resources that I looked up more than twice: for myself or to show other people

C++ shell: Running different version C++ in your browser

  • from C++98 to C++23 - build and run in your browser

Altair: Declarative interactive Visualization in Python based on Vega

  • if data extracted from ex BQ, altair could have hard time plotting it
    • ex: TypeError: Object of type 'date' is not JSON serializable
    • could be fixed by explicitly converting df['date'] = pd.to_datetime(df['date'])
  • filtering before plotting
    • single value: .transform_filter(alt.datum.target == 'single-filter')
    • multiple values: .transform_filter({'field': 'target', 'oneOf': ['foo', 'bar']})
  • in order to convert value to %
    • axis=alt.Axis(format='%')
    • alt.Tooltip('share:Q', format='.2%')

Google Colab and BigQuery

  • Colab's data table allows to filter and search through pandas dataframe
    • %load_ext google.colab.data_table
  • BigQuery allows to pass params through %%bigquery --project project df_name --params $PARAMS
    • we can also pass a list to filter as IN statement; since it's an array we need to UNNEST(@array_ids)

Probability and stats

Misc

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