The pursuit of happiness with Python and PostgreSQL®

This blog post explores three Python libraries - pandas, ddlgenerator, and psycopg2 - that can be used to clean a dataset and push it to a PostgreSQL database for further analysis. The author demonstrates the process using a happiness dataset from Kaggle, which is cleaned and then stored in a PostgreSQL table. Finally, the data is queried to find out where in the world one should move to have a joyful life.

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