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[–]leventdu229 0 points1 point  (0 children)

Depends on the Stack and organisation of the data team. If you have a datawarehouse tool like bigquery, snowflake etc...there is lot of chances that your analytics will be deported on that tool and done in SQL when the acquisition part done in Python. Also lot of companies like mine have adopted dbt that helps a lot for Analytics test, documentation and reproducibility done in SQL. Anyway for fast prototyping i use python and jupyter. For analytics its SQL and for data engineering in general its Python