Merge pull request #313 from c-bata/update-getting-started

Update the getting started section of README

README.md

@@ -6,7 +6,7 @@
 Real-time dashboard for [Optuna](https://github.com/optuna/optuna).
 Code files were originally taken from [Goptuna](https://github.com/c-bata/goptuna).
 
-## Getting Started
+## Installation
 
 You can install optuna-dashboard via [PyPI](https://pypi.org/project/optuna-dashboard/) or [Anaconda Cloud](https://anaconda.org/conda-forge/optuna-dashboard).
 
@@ -14,13 +14,34 @@ You can install optuna-dashboard via [PyPI](https://pypi.org/project/optuna-dash
 $ pip install optuna-dashboard
 ```
 
-And you can also install following optional dependencies to make optuna-dashboard faster.
+Also you can install following optional dependencies to make optuna-dashboard faster.
 
 ```console
 $ pip install optuna-fast-fanova gunicorn
 ```
 
-Then please execute `optuna-dashboard` command with Optuna storage URL.
+## Getting Started
+
+First, please specify the storage URL to persistent your study using the [RDB backend](https://optuna.readthedocs.io/en/stable/tutorial/20_recipes/001_rdb.html).
+
+```python
+import optuna
+
+def objective(trial):
+    x = trial.suggest_float("x", -100, 100)
+    y = trial.suggest_categorical("y", [-1, 0, 1])
+    return x**2 + y
+
+if __name__ == "__main__":
+    study = optuna.create_study(
+        storage="sqlite:///db.sqlite3",  # Specify the storage URL here.
+        study_name="quadratic-simple"
+    )
+    study.optimize(objective, n_trials=100)
+    print(f"Best value: {study.best_value} (params: {study.best_params})")
+```
+
+After running the above script, please execute the `optuna-dashboard` command with Optuna storage URL.
 
 ```
 $ optuna-dashboard sqlite:///db.sqlite3