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Data · kdnuggets.com · Wednesday, 27 May 2026

Anonymizing Production Data with Python's Mimesis Library

The KDNuggets guide shows how to use the open‑source Mimesis Python library to replace personally identifiable information in production datasets with realistic fake data. It includes a step‑by‑step example that flips names, emails, and phone numbers while preserving dataset structure for safe data science work.

Read the source: kdnuggets.com ↗In the 27 May issue →