I automated my CSV cleanup with Python (saved 2 hours every week)

I automated my CSV cleanup with Python (saved 2 hours every week) Every Monday morning. Two hours cleaning CSV exports. Same boring work, different data. Fixed headers, removed duplicates, standard...

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I automated my CSV cleanup with Python (saved 2 hours every week)

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I automated my CSV cleanup with Python (saved 2 hours every week) Every Monday morning. Two hours cleaning CSV exports. Same boring work, different data. Fixed headers, removed duplicates, standardized formats. Every week. The Problem I export product data from different sources. Amazon scrapers, supplier sheets, manual research. Each CSV formatted completely differently. Headers inconsistent. "Product Name" vs "product_name" vs "ProductName". Pick one please. Duplicates everywhere. Same product ID, different rows. Why. Prices as strings. "$19.99" not 19.99. Excel hates this. Empty rows scattered throughout. Date formats all over the place. MM/DD/YYYY, YYYY-MM-DD, timestamps, whatever the system felt like exporting that day. What I Tried First Manual cleanup in Excel. Filter, sort, find duplicates, fix one by one. Worked for 10 rows. Died at 500. Tried Google Sheets formulas. Got messy fast. Broke when column order changed. Gave up. The Solution Built a Python script that does the clea

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