For all the amazing powers of Python, deploying packaged apps that leverage native OS-level capabilities isn't one of them. But it can be done and we have a great guest, Rhet Turnbull, here to tell us how he built his distributable macOS app Textinator that uses macOS's native vision recognition framework through Python.

Links from the show

Rhet Turnbull on Twitter: @RhetTurnbull

Textinator app: github.com

Homebrew Python Is Not For You: justinmayer.com

asdf: asdf-vm.com

Space Force: spaceforce.com

TextSniper app: textsniper.app

Apple's Natural Language ML: developer.apple.com

Apple's Vision ML: developer.apple.com

py2app: py2app.readthedocs.io

py2exe: pypi.org

pyinstaller: pyinstaller.org

RUMPS: github.com

Michael's RUMPS app - URLify: github.com

Home Brew: brew.sh

pipx: github.com

Gooey: github.com

PLS CLI: github.com

textX: pypi.org

Join Space Force: spaceforce.com

Beeware: beeware.org

Watch this episode on YouTube: youtube.com

Episode transcripts: talkpython.fm

--- Stay in touch with us ---

Subscribe to us on YouTube: youtube.com

Follow Talk Python on Twitter: @talkpython

Follow Michael on Twitter: @mkennedy

Sponsors

Sentry Error Monitoring, Code TALKPYTHON

Talk Python Training