Update per feedbackback

* PyMC3 and PyStan

* and a few lines below where it says "the inspiration between InferenceData" I guess it should be "the inspiration for InferenceData"

doc/notebooks/XarrayforArviZ.ipynb

@@ -42,7 +42,7 @@
     "\n",
     "\n",
     "## Why not Pandas Dataframes or Numpy Arrays?\n",
-    "Data from probabilistic programming is naturally high dimensional. To add to the complexity ArviZ must handle the data generated from multiple Bayesian Modeling libraries, such as pymc3 and pystan. This is an application that the *xarray* package handles quite well. The xarray package lets users manage high dimensional data with human readable dimensions and coordinates quite easily.\n",
+    "Data from probabilistic programming is naturally high dimensional. To add to the complexity ArviZ must handle the data generated from multiple Bayesian Modeling libraries, such as PyMC3 and PyStan. This is an application that the *xarray* package handles quite well. The xarray package lets users manage high dimensional data with human readable dimensions and coordinates quite easily.\n",
     "\n",
     "![InferenceData Structure](InferenceDataStructure.png)  \n",
     "\n",
@@ -182,7 +182,7 @@
    "metadata": {},
    "source": [
     "## NetCDF\n",
-    "[NetCDF](https://www.unidata.ucar.edu/software/netcdf/) is a standard for referencing array oriented files. In other words while, *xarray.Dataset*s, and by extension *InferenceData*, are convenient for accessing arrays in Python memory, *NetCDF* provides a convenient mechanism for persistence of model data on disk. In fact the NetCDF dataset was the inspiration between *InferenceData* as NetCDF4 supports the concepts of groups. *InferenceData* merely wraps xarray.Dataset with the same functionality,\n",
+    "[NetCDF](https://www.unidata.ucar.edu/software/netcdf/) is a standard for referencing array oriented files. In other words while, *xarray.Dataset*s, and by extension *InferenceData*, are convenient for accessing arrays in Python memory, *NetCDF* provides a convenient mechanism for persistence of model data on disk. In fact the NetCDF dataset was the inspiration for *InferenceData* as NetCDF4 supports the concept of groups. *InferenceData* merely wraps xarray.Dataset with the same functionality,\n",
     "\n",
     "Most users will not have to concern themselves with the *NetCDF* standard but for completeness it is good to make its usage transparent. It is also worth noting that the NetCDF4 file standard is interoperable with HDF5 which may be familiar from other contexts.\n",
     "\n",