CSV field transfer: reusable Python program

Copying values between spreadsheet columns is repetitive and easy to get wrong. This original working demonstration turns a defined CSV mapping into a reusable local Python tool.

It copies values into empty destination cells, preserves existing values, keeps the input file unchanged and produces an audit log and completion report. It handles up to 10,000 rows, 100 columns and 10 mapping pairs per agreed file structure. Python 3.10+ is required.

Validation includes 10 automated checks, a real 10,000-row run and running the extracted delivery package. This is my own demonstration with fictional data, not a client commission. The image reproduces the actual result.csv from the supplied fictional sample: three values copied, two existing values preserved and one empty source skipped. It is an output report, not a screenshot of a client system.

I can build a reusable CSV transfer program for an agreed set of fields and matching rules. Send a non-confidential sample and the desired result to discuss fit and a quote. Delivery and payment are agreed before an order. CRM integration, Excel support and Python installation are outside this sample. Developed with AI assistance; substantial AI use requires the buyer’s written agreement before work begins.