a few minor text edits

Author: kadrlica

08_Interactive_Image_Visualization.ipynb

@@ -266,7 +266,7 @@
    "source": [
     "#### 1.2 DP0.1 Images\n",
     "We will work with  images that we will retrieve via the Butler, a `calexp` and a `coadd` image. For more details about using the Butler, please refer to tutorial `04_Intro_to_Butler` . \n",
-    " For DP0.1, images can only be accessed via the `butler` (<a href=\"https://pipelines.lsst.io/modules/lsst.daf.butler/index.html\">documentation</a>), an LSST Science Pipelines software package that allows you to fetch the LSST data you want without you having to know its location or format. For more details on how to use the Butler, see tutorial `04_Intro_to_Butler`. We will retrieve a calexp and a deep r-band coadd image from a dataset, specifying a tract and patch to work with. "
+    " For DP0.1, images can only be accessed via the `butler` (<a href=\"https://pipelines.lsst.io/modules/lsst.daf.butler/index.html\">documentation</a>), an LSST Science Pipelines software package that allows you to fetch the LSST data you want without you having to know its location or format. We will retrieve a calexp and a deep r-band coadd image from a dataset, specifying a tract and patch to work with. "
    ]
   },
   {
@@ -520,7 +520,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The techniques to apply customizations in the cells above use standard python syntax and are the recommended way to customize your visualizations in HoloViews. Holoviews also supports IPython magics. Magics is a much older approach that is not standard python and is specific to notebooks. [Holoviews notebook magic](https://holoviews.org/user_guide/Notebook_Magics.html) supports both line and cell magics. Here is an example of using magics to plot the same spatial distribution of `Objects` as above."
+    "The techniques to apply customizations in the cells above use standard python syntax and are the recommended way to customize your visualizations in HoloViews. Holoviews also supports IPython magic commands (\"magics\"). Magics are a much older approach that is not standard python and is specific to notebooks. [Holoviews notebook magic](https://holoviews.org/user_guide/Notebook_Magics.html) supports both line and cell magics. Here is an example of using magics to plot the same spatial distribution of `Objects` as above."
    ]
   },
   {
@@ -592,7 +592,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "First, we will apply the same asinh stretch and zscale interval as was applied in `04_Intro_to_Butler` directly to the calexp object."
+    "First, we will use the `astropy.visualization` library to define an asinh stretch and zscale interval and apply them to the calexp object. These are the same transformation that were applied in `03_Image_Display_and_Manipulation` notebook."
    ]
   },
   {