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/27-evals/README.md

@@ -245,7 +245,7 @@ output.
 
    ```bash
    cd modules/27-evals/lab
-   python run_eval.py candidates/current_model
+   python3 run_eval.py candidates/current_model
    echo "exit code: $?"
    ```
 
@@ -258,7 +258,7 @@ output.
 2. Now simulate the swap: run the *exact same eval set* against the other candidate:
 
    ```bash
-   python run_eval.py candidates/swapped_model
+   python3 run_eval.py candidates/swapped_model
    echo "exit code: $?"
    ```
 
@@ -275,7 +275,7 @@ output.
    yourself and read the scorecard:
 
    ```bash
-   python run_eval.py candidates/my_run_1
+   python3 run_eval.py candidates/my_run_1
    ```
 
 4. Now actually swap something. Either change the model Claude Code uses, or change the *prompt* (ask
@@ -309,10 +309,10 @@ output.
    `working-directory:` line makes the CI job `cd` into the lab folder first, so the
    `candidates/...` path and `run_eval.py`'s own `from eval_set import CASES` resolve exactly as they
    did on your machine. (Drop it and point a repo-root job straight at
-   `python modules/27-evals/lab/run_eval.py candidates/current_model`, and `candidates/`
+   `python3 modules/27-evals/lab/run_eval.py candidates/current_model`, and `candidates/`
    won't exist from the repo root: the gate crashes with a *false* failure, which is worse than no
    gate. If the agent prefers a single line, it can spell both paths out from the repo root:
-   `python modules/27-evals/lab/run_eval.py modules/27-evals/lab/candidates/current_model
+   `python3 modules/27-evals/lab/run_eval.py modules/27-evals/lab/candidates/current_model
    --threshold 1.0`.)
 
    Below threshold exits non-zero and the pipeline blocks, exactly like a failing test. The guardrail
@@ -388,5 +388,5 @@ This is an expansion-zone module over fast-moving ground. Re-check at build/publ
 - [ ] **Module cross-references.** Confirm Modules 13, 14, 10, and 24–26 still carry the
   responsibilities referenced here (tests, CI gating, review, the agent autonomy ladder) and that
   none were renumbered.
-- [ ] **Lab still runs.** `python run_eval.py candidates/current_model` exits 0 at 100%, and
+- [ ] **Lab still runs.** `python3 run_eval.py candidates/current_model` exits 0 at 100%, and
   `candidates/swapped_model` exits 1 below threshold, on a current Python 3.x.

modules/27-evals/lab/llm_judge.py

@@ -14,7 +14,7 @@ than pretending. NOTHING here pins a provider.
     EVAL_JUDGE_MODEL  # the model name to ask for
 
 Run it standalone to grade one sample:
-    python llm_judge.py "Add count command" "fix"
+    python3 llm_judge.py "Add count command" "fix"
 """
 
 import json

modules/27-evals/lab/run_eval.py

@@ -1,9 +1,9 @@
 """Run the eval set against one candidate and print a scorecard.
 
 Usage:
-    python run_eval.py candidates/current_model
-    python run_eval.py candidates/swapped_model
-    python run_eval.py candidates/current_model --threshold 0.9
+    python3 run_eval.py candidates/current_model
+    python3 run_eval.py candidates/swapped_model
+    python3 run_eval.py candidates/current_model --threshold 0.9
 
 A "candidate" is a directory containing a tasks.py that an agent produced. The
 runner imports that tasks.py, runs every case in eval_set.py against it, prints