Small edits to tutorials

Author: lshaw8317

doc/getting_started/tutorials/02.lazyarray-expressions.ipynb

@@ -816,7 +816,7 @@
    "source": [
     "Combining all this weaponry allows you to query your data quickly. As the computation is lazy, all the operations are grouped and executed together for maximum performance. The only exception is that, when a reduction is found, it is computed eagerly, but it can still be part of more general expressions, and can be saved to and loaded from disk.\n",
     "\n",
-    "Now that we're finished, let's delete the files we wrote to memory to clean up our directory.\n"
+    "Now that we're finished, let's delete the files we wrote to disk to clean up our directory.\n"
    ]
   },
   {

doc/getting_started/tutorials/03.lazyarray-udf.ipynb

@@ -299,7 +299,20 @@
    "metadata": {},
    "source": [
     "Incidentally, the pure Python version was faster than Numba.  This is because Numba has\n",
-    "large initialization overheads and the function is quite simple.  For more complex functions, or larger arrays, the difference will be less noticeable or indeed favorable to Numba. As an exercise, check at which array size the Numba UDF starts to be competitive.  If you're a Numba pro, you may also want to unroll loops within the UDF and see whether you can make it faster."
+    "large initialization overheads and the function is quite simple.  For more complex functions, or larger arrays, the difference will be less noticeable or indeed favorable to Numba. As an exercise, check at which array size the Numba UDF starts to be competitive.  If you're a Numba pro, you may also want to unroll loops within the UDF and see whether you can make it faster.\n",
+    "\n",
+    "\n",
+    "Now that we're finished, let's delete the files we wrote to disk to clean up our directory."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "blosc2.remove_urlpath(\"arr.b2nd\")\n",
+    "blosc2.remove_urlpath(\"udf.b2nd\")"
    ]
   },
   {