diff --git a/examples/run_all_vignettes.py b/examples/run_all_vignettes.py
new file mode 100644
index 00000000..15760446
--- /dev/null
+++ b/examples/run_all_vignettes.py
@@ -0,0 +1,104 @@
+"""Run every NNS Python vignette end to end and print its output.
+
+This is a single, IDLE-friendly driver for the vignette example scripts in
+``examples/vignettes/``. Open it in IDLE and press **F5** (or run
+``python examples/run_all_vignettes.py`` from a terminal) to execute all
+vignettes in the documented order and print each one's output, so you can
+compare it against the R NNS vignettes PDF and the markdown in
+``docs/vignettes/``.
+
+Each vignette also self-checks with assertions, so this driver reports PASS/FAIL
+per vignette and a final summary, and exits non-zero if any vignette fails.
+
+Requires the package to be importable (``pip install -e .`` from the repo root).
+"""
+
+from __future__ import annotations
+
+import importlib.util
+import os
+import time
+import traceback
+from pathlib import Path
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+VIGNETTE_DIR = REPO_ROOT / "examples" / "vignettes"
+
+# Ordered to match docs/vignettes/NN_*.md and the R NNS vignettes PDF.
+# (number, title, example-script stem, docs/vignettes markdown file)
+VIGNETTES = [
+    ("00", "Overview", "overview", "00_overview.md"),
+    ("01", "Partial moments", "partial_moments", "01_partial_moments.md"),
+    ("02", "Descriptive & distributional tools",
+     "descriptive_distributional_tools", "02_descriptive_distributional_tools.md"),
+    ("03", "Dependence & nonlinear association",
+     "dependence_nonlinear_association", "03_dependence_nonlinear_association.md"),
+    ("04", "Normalization & rescaling",
+     "normalization_rescaling", "04_normalization_rescaling.md"),
+    ("05", "Hypothesis, ANOVA & stochastic superiority",
+     "hypothesis_anova_stochastic_superiority",
+     "05_hypothesis_anova_stochastic_superiority.md"),
+    ("06", "Regression, boosting, stacking & causality",
+     "regression_boosting_stacking_causality",
+     "06_regression_boosting_stacking_causality.md"),
+    ("07", "Time series forecasting",
+     "time_series_forecasting", "07_time_series_forecasting.md"),
+    ("08", "Simulation, bootstrap & risk-neutral",
+     "simulation_bootstrap_riskneutral", "08_simulation_bootstrap_riskneutral.md"),
+    ("09", "Portfolio & stochastic dominance",
+     "portfolio_stochastic_dominance", "09_portfolio_stochastic_dominance.md"),
+]
+
+
+def _load_vignette_main(stem):
+    """Import an example script by path and return its ``main`` callable."""
+    path = VIGNETTE_DIR / f"{stem}.py"
+    spec = importlib.util.spec_from_file_location(f"nns_vignette_{stem}", path)
+    if spec is None or spec.loader is None:
+        raise ImportError(f"cannot load vignette script {path}")
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module.main
+
+
+def run() -> int:
+    # Match the cwd the test suite uses so any relative paths resolve.
+    os.chdir(REPO_ROOT)
+
+    results = []
+    for number, title, stem, doc in VIGNETTES:
+        banner = f"  Vignette {number}: {title}  "
+        rule = "=" * max(len(banner), 60)
+        print("\n" + rule)
+        print(banner)
+        print(f"  script: examples/vignettes/{stem}.py")
+        print(f"  doc:    docs/vignettes/{doc}")
+        print(rule)
+
+        start = time.perf_counter()
+        try:
+            _load_vignette_main(stem)()
+            ok = True
+        except Exception:
+            ok = False
+            print(traceback.format_exc())
+        elapsed = time.perf_counter() - start
+        results.append((number, title, ok, elapsed))
+
+    print("\n" + "=" * 60)
+    print("  Vignette verification summary")
+    print("=" * 60)
+    passed = 0
+    for number, title, ok, elapsed in results:
+        status = "PASS" if ok else "FAIL"
+        passed += int(ok)
+        print(f"  [{status}] {number}  {title}  ({elapsed:.2f}s)")
+    print("-" * 60)
+    print(f"  {passed}/{len(results)} vignettes passed")
+    if passed != len(results):
+        print("  Some vignettes FAILED — see tracebacks above.")
+    return 0 if passed == len(results) else 1
+
+
+if __name__ == "__main__":
+    raise SystemExit(run())