Update text

Co-authored-by: AdrianSosic <adrian.sosic@merckgroup.com>

docs/userguide/utils.md

@@ -20,9 +20,9 @@ import numpy as np
 from baybe.parameters import NumericalDiscreteParameter
 from baybe.searchspace import SearchSpace
 
-# This will create 10 parameters with 20 values each
+# This creates 10 parameters with 20 values each.
 # The resulting space would have 20^10 entries, requiring around 745 TB of memory for
-# both experimental and computational representation of the search space
+# both experimental and computational representation of the search space.
 parameters = [
     NumericalDiscreteParameter(name=f"p{k+1}", values=np.linspace(0, 100, 20))
     for k in range(10)