How I check duplicate IDs and missing cells in CSV with Python

Short summary

This tutorial demonstrates a lightweight Python script using only the standard library to profile CSV files for row counts, duplicate IDs, and blank cells. It deliberately separates missing-value detection from numeric validation, returning observable facts first before applying stricter rules. The author clearly states the script's limitations and offers an expanded HTTP API version as a paid product.

• •A no-dependency Python script profiles CSVs for row count, duplicate IDs, and missing cells using csv and Counter
• •The design philosophy returns observable facts first, adding stricter validation only when the data contract is known
• •An expanded local HTTP API with numeric summaries is available as a paid package on Gumroad

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