fixes

docs/tutorials/PolynomialFunctionArray.ipynb

@@ -110,7 +110,7 @@
     },
     "tags": []
    },
-   "source": "Using the defined inputs, we calculate a second degree polynomial in ``outputs.x`` and ``outputs.y`` with 6 total non-zero coefficients.  Each `x` and `y` has a constant offset, one linear term and one quadratic term.  Coefficients c and d depend on both time and wavlength."
+   "source": "Using the defined inputs, we calculate a second degree polynomial in :code:`outputs.x` and :code:`outputs.y` with 6 total non-zero coefficients.  Each `x` and `y` has a constant offset, one linear term and one quadratic term.  Coefficients c and d depend on both time and wavlength."
   },
   {
    "cell_type": "code",
@@ -149,7 +149,7 @@
     },
     "tags": []
    },
-   "source": "Defining a :class:`named_arrays.PolynomialFitFunctionArray` of degree 2 with components :python:`position.x` and :python:`position.y` and `axis_polynomial` :python:`\"x\"` and :python:`\"y\"` will fit a second degree polynomial to the inputs and outputs. :python:`fit.coefficients` gives the coefficients of the ordinary (linear?) least squares fit to the inputs and outputs. The fit coefficients match those used to create the outputs to machine preceision."
+   "source": "Defining a :class:`named_arrays.PolynomialFitFunctionArray` of degree 2 with components :code:`position.x` and :code:`position.y` and `axis_polynomial` :code:`\"x\"` and :code:`\"y\"` will fit a second degree polynomial to the inputs and outputs. :code:`fit.coefficients` gives the coefficients of the ordinary (linear?) least squares fit to the inputs and outputs. The fit coefficients match those used to create the outputs to machine preceision."
   },
   {
    "cell_type": "code",