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5 Useful Python Scripts to Automate CSV Processing

KDnuggets6 min read

Automate common CSV tasks with these 5 Python scripts for cleaning, validating, transforming, and processing CSV files using the standard library.

CSV files show up in almost every data workflow. Exports from databases, applications, and batch jobs often end up as .csv files, along with problems such as inconsistent delimiters, encoding errors, schema changes, and duplicate rows. The fixes are usually small. The work is repetitive, easy to get wrong under time pressure, and rarely worth building a custom tool for. This article covers five common CSV tasks with self-contained Python scripts. Each script uses only the Python standard library, so you can run them without installing third-party packages or managing additional dependencies. You can find all the scripts on GitHub. 1. Schema Validator A CSV that "looks fine" in a spreadsheet preview…

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