@@ -102,7 +102,9 @@

    "source": [

     "Next we create a \"runner\" that will request points from the learner and evaluate 'f' on them.\n",

     "\n",

-    "By default the runner will evaluate the points in parallel using local processes ([`concurrent.futures.ProcessPoolExecutor`](https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor))."

+    "By default on Unix-like systems the runner will evaluate the points in parallel using local processes ([`concurrent.futures.ProcessPoolExecutor`](https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor)).\n",

+    "\n",

+    "On Windows systems the runner will try to use a [`distributed.Client`](https://distributed.readthedocs.io/en/latest/client.html) if [`distributed`](https://distributed.readthedocs.io/en/latest/index.html) is installed. A `ProcessPoolExecutor` cannot be used on Windows for reasons."

    ]

   },

   {

@@ -751,7 +753,7 @@

    "cell_type": "markdown",

    "metadata": {},

    "source": [

-    "By default `adaptive.Runner` creates a `ProcessPoolExecutor`, but you can also pass one explicitly e.g. to limit the number of workers:"

+    "On Unix-like systems by default `adaptive.Runner` creates a `ProcessPoolExecutor`, but you can also pass one explicitly e.g. to limit the number of workers:"

    ]

   },

   {

@@ -797,7 +799,9 @@

    "cell_type": "markdown",

    "metadata": {},

    "source": [

-    "### [`distributed`](https://distributed.readthedocs.io/en/latest/)"

+    "### [`distributed`](https://distributed.readthedocs.io/en/latest/)\n",

+    "\n",

+    "On Windows by default `adaptive.Runner` uses a `distributed.Client`."

    ]

   },

   {