{"version":"1.0","type":"rich","title":"Basic boilerplate for parsing a csv file","description":"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.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-b482b00845d853316b49f241bed2eb1b?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}