Files
datatools-dev/docs
Michael fd9606c67b build: drop the local Python release method, return to CI-only installer builds
Removes the single-command Python packaging method (build/make_release.py
+ build/build_portable_zip.py + build/macos/build_zip.sh) and the portable
.zip artifacts it produced. Release builds go back to the original GitHub
Actions process: the CI matrix builds one installer per platform (.dmg /
.exe / .AppImage) on tag push and attaches them to a GitHub Release.

Tesseract OCR bundling is preserved: the fetch helpers the workflow depends
on (fetch_tessdata, fetch_tesseract_for_platform) are extracted into a
standalone build/tesseract.py, which build.yml now imports.

Docs (README, build/README, DEVELOPER, TECHNICAL, USER-GUIDE, vendor README,
es translations) updated to drop the portable-zip flavor and point at the
new module.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-22 17:47:36 +00:00
..

🌐 Language: English · Español

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

  1. Download from your purchase email. Two flavors per OS — pick one:
    • Installer (.dmg on macOS, .exe on Windows) — wires up Desktop + Start Menu / Launchpad shortcuts.
    • Portable .zip — unzip and double-click. No install, no admin rights, runs from anywhere.
  2. Open it (no Python needed; everything is bundled inside).
  3. The app starts a local server and opens your browser. Nothing leaves your machine.

Full step-by-step including SmartScreen / Gatekeeper workarounds: USER-GUIDE.md §1.

Docs

Buyer-facing (ships with the product):

Creator-only (do not ship):


Version: 1.6 · Updated: 2026-05-01 · Owner: Michael