diff --git a/doc/source/tutorials.rst b/doc/source/tutorials.rst
deleted file mode 100644
index e93fbb45..00000000
--- a/doc/source/tutorials.rst
+++ /dev/null
@@ -1,47 +0,0 @@
-.. _tutorials:
-
-Tutorials and examples
-==================================
-
-Work in progress, but here a simple example from our `README.md <https://github.com/queens-py/queens/blob/main/README.md>`_:
-
-.. code-block:: python
-
-   from queens.distributions import BetaDistribution, NormalDistribution, UniformDistribution
-   from queens.drivers import FunctionDriver
-   from queens.global_settings import GlobalSettings
-   from queens.iterators import MonteCarloIterator
-   from queens.main import run_iterator
-   from queens.models import SimulationModel
-   from queens.parameters import Parameters
-   from queens.schedulers import LocalScheduler
-
-   if __name__ == "__main__":
-       # Set up the global settings
-       global_settings = GlobalSettings(experiment_name="monte_carlo_uq", output_dir=".")
-
-       # Set up the uncertain parameters
-       x1 = UniformDistribution(lower_bound=-3.14, upper_bound=3.14)
-       x2 = NormalDistribution(mean=0.0, covariance=1.0)
-       x3 = BetaDistribution(lower_bound=-3.14, upper_bound=3.14, a=2.0, b=5.0)
-       parameters = Parameters(x1=x1, x2=x2, x3=x3)
-
-       # Set up the model
-       driver = FunctionDriver(parameters=parameters, function="ishigami90")
-       scheduler = LocalScheduler(
-           experiment_name=global_settings.experiment_name, num_jobs=2, num_procs=4
-       )
-       model = SimulationModel(scheduler=scheduler, driver=driver)
-
-       # Set up the algorithm
-       iterator = MonteCarloIterator(
-           model=model,
-           parameters=parameters,
-           global_settings=global_settings,
-           seed=42,
-           num_samples=1000,
-           result_description={"write_results": True, "plot_results": True},
-       )
-
-       # Start QUEENS run
-       run_iterator(iterator, global_settings=global_settings)