Most automation tools ask you to trade privacy for convenience—upload your invoices, paste client emails into a chatbot, or "analyze" files on someone else's servers. This book says no.
Private Python is a practical, non-technical automation toolkit for founders, freelancers, and small teams who want to save hours every week while keeping sensitive work data on their own computer. Every example runs locally on Windows, macOS, and Linux, and focuses on simple, copy-paste scripts you can actually use.
Inside, you'll get a clear folder-based workflow (input/ ? output/), a privacy checklist in every chapter, and a library of beginner-friendly "Recipe Cards" that help you:
- Organize folders and clean up messy downloads automatically
- Extract useful data from PDFs and invoices offline
- Clean and deduplicate CSV contact lists
- Generate private HTML dashboards that open in your browser (no server)
- Create safe backups to USB drives with timestamped ZIP files
- Set up approval-only email workflows (drafts/logs, not automatic sending)
- Keep your automations running safely—and share them with a teammate without leaking data
This is not a programming course. It's a privacy-respecting operating manual for automating real work with Python—without cloud accounts, API keys, or risky uploads.
You don't need to trade privacy for convenience. You can have both—if your tools run on your machine.
