Topics covered in this episode:

How to Write a Git Commit Message
Caddy Web Server
Some new PEPs approved
juv
Extras
Joke

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About the show

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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
  - “Keep in mind: This has all been said before.”
  - 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.”
PEP 750 – Template Strings
- 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:

Status of Python versions
- 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:

Joke: BGPT (thanks Doug Farrell)

#428 How old is your Python?

Python Bytes