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Still more tx cleanup!
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transcripts/378-flet-flutter-apps-in-python.txt

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00:15:39 thing. It's literally compiled in native code on the other platform.
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00:15:42 This portion of Talk By Theonomy is brought to you by Sentry. You know Sentry as a long-time sponsor
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00:15:42 This portion of Talk Python To Me is brought to you by Sentry. You know Sentry as a long-time sponsor
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00:15:50 of this podcast. They offer great error monitoring software that I've told you about many times.
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transcripts/378-flet-flutter-apps-in-python.vtt

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thing. It's literally compiled in native code on the other platform.
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This portion of Talk By Theonomy is brought to you by Sentry. You know Sentry as a long-time sponsor
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This portion of Talk Python To Me is brought to you by Sentry. You know Sentry as a long-time sponsor
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of this podcast. They offer great error monitoring software that I've told you about many times.

transcripts/382-apache-superset-modern-data-exploration-platform.txt

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00:12:51 such an open framework.
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00:12:54 This portion of Talk By Theonomy is brought to you by Sentry.
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00:12:54 This portion of Talk Python To Me is brought to you by Sentry.
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00:12:57 You know, Sentry as a longtime sponsor of this podcast.
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transcripts/382-apache-superset-modern-data-exploration-platform.vtt

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such an open framework.
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This portion of Talk By Theonomy is brought to you by Sentry.
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This portion of Talk Python To Me is brought to you by Sentry.
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You know, Sentry as a longtime sponsor of this podcast.

transcripts/490-django-ninja.vtt

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Follow me on Mastodon, where I'm @mkennedy, and follow the podcast using @talkpython,
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both accounts over at Fosstodon.org.
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both accounts over at fosstodon.org.
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And keep up with the show and listen to over nine years of episodes at talkpython.fm.

transcripts/491-duckdb-and-python-ducks-and-snakes-living-together.vtt

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Follow me on Mastodon, where I'm @mkennedy,
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and follow the podcast using @talkpython, both accounts over at Fosstodon.org,
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and follow the podcast using @talkpython, both accounts over at fosstodon.org,
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and keep up with the show and listen to over nine years of episodes at talkpython.fm.

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