Use python3 as the canonical command name course-wide (#104)

Most current systems (default Debian/Ubuntu, recent macOS) install Python
only as `python3`, with no bare `python` on PATH, so learners who copied
`python cli.py ...` into their host shell hit "command not found".

Convert host-shell `python <cmd>` -> `python3 <cmd>` across module/lab
READMEs, lab `.py` docstrings & usage strings, blog posts, lab prompt and
instruction files, the M04 verify.sh message, and the M10/M24 lab patches.
Module 01's convention note (and its blog/02 mirror) is rewritten so
`python3` is canonical and `python` is the documented fallback.

Stop-lines respected: Docker image tags (`python:3.12-slim`), `.venv/.../python`
and `...\.venv\Scripts\python.exe` paths, the M20 `"command": "python"`
teaching example and surrounding venv prose, container-internal invocations
(M16/M18 Dockerfiles, M16 README `docker run` examples), and CI-workflow
`run:` steps fed by `actions/setup-python` / `image: python:3.12` are left
as `python` on purpose.

pip was left out of scope: most occurrences are prose or CI/container-internal,
and `pip3` does not fix the PEP 668 externally-managed-environment refusal that
the course already addresses with venvs. The M01 note is worded to stay
consistent with bare `pip` (use whichever pip pairs with your Python).

Build (tools/build_wiki.py) and tools/check.sh both pass.

Closes #104

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GAEzanEoGJT5o1VizQar47

modules/18-continuous-delivery-and-deployment/README.md

@@ -250,7 +250,7 @@ A CLI that exits immediately is awkward to "deploy." Give the app a long-running
 2. Run the service locally first, no container, to see it work:
 
    ```bash
-   python serve.py        # serves on http://localhost:8000
+   python3 serve.py        # serves on http://localhost:8000
    ```
 
    In another terminal:

modules/18-continuous-delivery-and-deployment/lab/serve.py

@@ -4,7 +4,7 @@ Standard library only, no pip install, so the container image stays tiny and the
 dependencies to drift. It reuses the TaskList from tasks.py (Modules 1-2) unchanged.
 
 Run it:
-    python serve.py            # serves on http://localhost:8000
+    python3 serve.py            # serves on http://localhost:8000
 
 Endpoints:
     GET /health   -> {"status": "ok", "version": <APP_VERSION>}   (200)