Basic boilerplate for parsing a csv file

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Basic boilerplate for parsing a csv file

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Last edited Feb 24, 2017

Created on Feb 24, 2017

This example demonstrates a minimal Python workflow for reading and writing CSV files, acting as a starting point for data reshaping tasks. It shows how to parse an input CSV into dictionaries using `csv.DictReader`, process each row, and write the results with `csv.DictWriter`. The script uses `argparse` to accept input and output file paths, defaults to `input.csv` and `output.csv`, and prints progress dots every 100 rows and a count every 1000 rows. The boilerplate leaves the transformation step empty, but the structure supports arbitrary row-by-row modifications.

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