
Python Bytes
Michael Kennedy and Calvin Hendryx-Parker
4.7from 264 ratings
- 503
- Episodes
- 123
- Transcribed
- 264
- Ratings
- Weekly
- Cadence
- 2016
- First episode
- 165K
- YouTube views
About Python Bytes
Python Bytes is a weekly podcast hosted by Michael Kennedy and Calvin Hendryx-Parker. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.
- Publisher
- Michael Kennedy and Calvin Hendryx-Parker
- Category
- news · technology
- Language
- en
- Explicit
- No
- First episode
- 7 Nov 2016
- Latest episode
- 3 Nov 2026
Latest episodes
123 of 503 episodes have a transcript.

3 Nov 2026TRANSCRIPT
#503 It’s not 85% HTML

27 Oct 2026TRANSCRIPT
#502 Introducing chameleon-rs

20 Oct 2026TRANSCRIPT
#501 A Nod to Sir-Mix-Alot
Inside a recent episode

#503 It’s not 85% HTML
Published 3 Nov 2026 · Transcript excerpt
[…] I'm just like, Got to write it down somewhere so people have like the steps, you know, I don't want to just describe it. All right, so what there is, is there's a .git attributes thing that you can put in your GitHub, a .git ignore, but this is a .git attributes. And you can use it to configure GitHub and Git in different ways. […]
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See plansReach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
- YouTube views
- 165,258
- Score snapshot 15 Sept 2025
- Apple Podcasts (US)
- 4.7 / 5
- 212 ratings
- Spotify
- 4.7 / 5
- 52 ratings
Podcast Authority Score: 82 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
- Quality
- 91
- Social presence
- 0
- YouTube
- 86
- Engagement
- 99
Contact Python Bytes
- Guest appearances
- Does not typically book guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
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Questions about Python Bytes
How often do new episodes come out?
The show publishes weekly, based on its RSS feed.
Does Python Bytes take guests?
The show does not typically feature guests, based on episode analyses.
Where can I read transcripts?
123 of 503 episodes have a transcript on Pod Engine. Full transcripts are available with a Pod Engine plan.
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