Topics covered in this episode:
- [**How to Write a Git Commit Message**](https://cbea.ms/git-commit/?featured_on=pythonbytes))
Some new PEPs approved
juv)
Extras
Joke
Watch on YouTube)
About the show
Sponsored by Posit Connect: pythonbytes.fm/connect)
Connect with the hosts
Michael: @[email protected]) / @mkennedy.codes) (bsky)
Brian: @[email protected]) / @brianokken.bsky.social)
Show: @[email protected]) / @pythonbytes.fm) (bsky)
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Brian #1: How to Write a Git Commit Message)
Chris Beams
7 rules of a great commit message
Separate subject from body with a blank line
Limit the subject line to 50 characters
Capitalize the subject line
Do not end the subject line with a period
Use the imperative mood in the subject line
Wrap the body at 72 characters
Use the body to explain what and why vs. how
Article also includes
Why a good commit message matters
Discussion about each of the 7 rules
Cool hat tips to other articles on the subject
Each word is a different link.
Michael #2: Caddy Web Server)
via Fredrik Mellström
Like a more modern NGINX
Caddy automatically obtains and renews TLS certificates for all your sites.
Caddy's native configuration is a JSON document.
Even localhost and internal IPs are served with TLS using the intermediate of a fully-automated, self-managed CA that is automatically installed into most local trust stores.
Configure multiple Caddy instances with the same storage, and they will automatically coordinate certificate management as a fleet.
Production-grade static file server.
Brian #3: Some new PEPs approved
PEP 770 – Improving measurability of Python packages with Software Bill-of-Materials)
Accepted for packaging
Author: Seth Larson, Sponsor Brett Cannon
“This PEP proposes using SBOM documents included in Python packages as a means to improve automated software measurability for Python packages.”
Accepted for Python 3.14
Author: Jim Baker, Guido van Rossum, Paul Everitt, Kaudai Aono, Lysandros Nikolaou, Dave Peck
“Templates provide developers with access to the string and its interpolated values before they are combined. This brings native flexible string processing to the Python language and enables safety checks, web templating, domain-specific languages, and more.”
Michael #4: juv)
A toolkit for reproducible Jupyter notebooks, powered by uv).
Create, manage, and run Jupyter notebooks with their dependencies
Pin dependencies with PEP 723 - inline script metadata)
Launch ephemeral sessions for multiple front ends (e.g., JupyterLab, Notebook, NbClassic)
Powered by uv) for fast dependency management
Use uvx to run jupyterlab with ephemeral virtual environments and tracked dependencies.
Extras
Brian:
new-ish format
Use this all the time. Can’t remember if we’ve covered the new format yet.
See also Python endoflife.date)
Same dates, very visible encouragement to move on to Python 3.13 if you haven’t already.
Michael:
.git-blame-ignore-revs follow up)
Joke: BGPT) (thanks Doug Farrell)