The 3 P’s of Data Engineering: using Pycopg2 and Pandas to create a Postgres database.

Three essential tools for data engineering

Arcade
The Pythoneers
Published in
4 min readNov 18, 2021

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Photo by Fotis Fotopoulos on Unsplash, edited by @arcadecoder on canva

Data engineering is an active process and consists of many tasks necessary for making data available to an end-user for use in analytics, app development, machine learning, etc. A critical part of Data Engineering is processing raw data to deliver…

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Arcade
The Pythoneers

Attempting human life, Software developer, writer and gamer