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Currently, the input data comes directly from the documents the bank provides: built-in bbva2pandas reads this documents and generates a dataframe on demand.
This approach generates some issues:
All documents must be available to the app
bbva2pandas pip dependency
time spent in bbva2pandas parsing
bbva2pandas allow the exported data to be exported in sqlite format. This app could use that format and use SQL queries directly to retrieve the data, rendering the app simpler.
The text was updated successfully, but these errors were encountered:
Currently, the input data comes directly from the documents the bank provides: built-in bbva2pandas reads this documents and generates a dataframe on demand.
This approach generates some issues:
bbva2pandas allow the exported data to be exported in sqlite format. This app could use that format and use SQL queries directly to retrieve the data, rendering the app simpler.
The text was updated successfully, but these errors were encountered: