---
title: "Releasing Module 02 - Practitioner's Series on xlwings Lite. Python in Excel. Data Cleaning & Rule Based Transformation"
slug: releasing-module-02-practitioner-s-series-on-xlwings-lite-python-in-excel-data-cleaning-rule-b
date_published: 2025-07-06T10:39:13.109Z
original_url: https://www.tigzig.com/post/releasing-module-02-practitioner-s-series-on-xlwings-lite-python-in-excel-data-cleaning-rule-b
source: migrated
processed_at: 2025-12-02T12:00:00.000Z
---

# Releasing Module 02 - Practitioner's Series on xlwings Lite. Python in Excel. Data Cleaning & Rule Based Transformation

I've put up a new guide on my site: Module 02 of my practitioner's series on xlwings Lite, focused on data cleaning.

My go-to for any Python-in-Excel work is xlwings Lite from [Felix Zumstein](https://www.linkedin.com/in/felix-zumstein/). The guide uses a real-world mobile number example to show how to handle multi step rule-based transformations with xlwings Lite.

This same methodology can be used for data cleaning of other variables. As well create complex derived variables- from analysis datasets to campaign files.

But it's really about the process: how to instruct AI, how to use AI Coder file to provide context, and most importantly, validation of output.

This brings me to a core lesson from my years in the trenches: Validations are sacrosanct. AI didn't do the work- you did. It's a tool that helps, that's it. If it's not validated, it does not go out. No matter what AI says. No matter the pressure. Period.

Get the full module- including the workbook and AI Coder file at Tigzig xlwings Lite section

[**xlwings-lite.tigzig.com**](http://xlwings-lite.tigzig.com/)



xlwings Lite official site: [lite.xlwings.org](https://lite.xlwings.org)