Pick up and finish yesterday's cut-off Tier B pass. - build/: PyInstaller scaffold (datatools.spec + launcher.py + hook-streamlit.py + README) — folder-mode bundle, locked 127.0.0.1, per-OS recipe - marketing/COPY.md: single source of truth for every customer-facing string — landing H1/sub/CTAs, demo CTAs, email subjects, Gumroad listing, banned phrases - marketing/community-posts/: 9 drafts (3 posts × 3 niches: bookkeeper, revops, shopify-pet) — story / tip / soft-offer - marketing/emails/: 18 drafts (Gumroad delivery + 5-touch onboarding × 3 niches), per-niche segmentation guidance - docs/NEXT-STEPS.md: flip 2.2 / 2.4 / 3.1 / 3.4 to done with pointers to the new assets; add Phase 0 inventory rows - .gitignore: narrow `build/` ignore so PyInstaller spec + launcher + hooks get tracked, only generated artifacts (build/build/, build/__pycache__/, build/dist/) stay ignored Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Excel & CSV Data Cleaning Mastery Bundle
9 Python data-cleaning tools, every one with a CLI and a browser GUI. Local-only, no internet. Windows / macOS / Linux.
Quick Start
- Download the installer for your OS from your purchase email.
- Run it (no Python knowledge required).
- Launch via the desktop shortcut → your default browser opens to a local page.
Full instructions: USER-GUIDE.md.
Docs
Buyer-facing (ships with the product):
- USER-GUIDE.md — install + per-tool walkthrough
Creator-only (do not ship):
- BUSINESS.md — market, pricing, marketing
- TECHNICAL.md — architecture, build pipeline, standards
- DECISIONS.md — locked criteria, decision log
- RECOVERY.md — full rebuild guide
- REQUIREMENTS.md — numbered support matrix
Version: 1.6 · Updated: 2026-05-01 · Owner: Michael