Python in Excel: Field Guide & Practice Lab for AI-assisted xlwings Lite.

I am sharing my workflow and documents for using AI to reliably generate xlwings Lite Python code. This is not a theoretical guide. It's a set of practical tools and hard rules which I use day to day in my client projects.

𝗪𝗵𝗮𝘁'𝘀 𝗶𝗻 𝘁𝗵𝗲 𝘅𝗹𝘄𝗶𝗻𝗴𝘀 𝗟𝗶𝘁𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗟𝗮𝗯:

𝟭. 𝗔𝗜 𝗖𝗼𝗱𝗲𝗿 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗙𝗶𝗹𝗲: My personal 1,855-line directive file. This is the core context you feed the AI to ensure it get clean, reliable xlwings Lite code.

𝟮. 𝗦𝘁𝗲𝗽-𝗯𝘆-𝗦𝘁𝗲𝗽 𝗙𝗶𝗲𝗹𝗱 𝗚𝘂𝗶𝗱𝗲𝘀: Three hands-on modules (Data Manipulation, Cleaning, Campaign Build) with the exact workbooks, guides and codes I use to test and validate.

𝟯. 𝗟𝗶𝘃𝗲 𝗔𝗽𝗽𝘀: xlwings Lite apps : web scrapers, database connect, AI schema detection, machine learning, quants reports

𝗧𝗵𝗲 𝗖𝗼𝗿𝗲 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 𝗳𝗼𝗿 𝗔𝗜 𝗰𝗼𝗱𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻

𝟭. 𝗦𝗵𝗼𝘄 - 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗶𝘀 𝗞𝗶𝗻𝗴: Give the AI everything - images, schemas, rules.

𝟮. 𝗧𝗲𝗹𝗹 - 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁, 𝗗𝗼𝗻'𝘁 𝗔𝘀𝘀𝘂𝗺𝗲 : Be direct and iterate. One instruction is never enough.

𝟯. 𝗜𝗻𝘀𝗽𝗲𝗰𝘁 - 𝗧𝗿𝘂𝘀𝘁, 𝗯𝘂𝘁 𝗩𝗲𝗿𝗶𝗳𝘆: All AI output must be validated. It makes mistakes.

𝗛𝗼𝘄 𝘁𝗼 𝗴𝗲𝘁 𝘁𝗵𝗲 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀

Go to app.tigzig.com (Path: xlwings Lite Practice Lab)

All guides, workbooks, apps and the AI instruction file are available for download.

𝘅𝗹𝘄𝗶𝗻𝗴𝘀 𝗟𝗶𝘁𝗲

Part of my primary stack.

Official site and docs: lite.xlwings.org

Created by Felix Zumstein.

𝗧𝗜𝗚𝗭𝗜𝗚 𝗖𝗼-𝗔𝗻𝗮𝗹𝘆𝘀𝘁

This is part of my open-source suite of 25+ tools for analysts and builders.