Tidying

README.md

@@ -5,36 +5,38 @@ spectral/_hp_ element framework. **As a disclaimer, thhese wrappings are
 _experimental_ and _incomplete_.** You should not rely on their current
 structure and API remaining unchanged.
 
-Currently, representative classes from the `LibUtilities`, `StdRegions` and
-`SpatialDomains` classes have been wrapped in order to show the
-proof-of-concept. This allows us to write scripts such as
+Currently, representative classes from the `LibUtilities`, `StdRegions`,
+`SpatialDomains` and `LocalRegions` libraries have been wrapped in order to show
+the proof-of-concept.
 
 # Features and functionality
 
 `NekPy` uses the `Boost.Python` library to provide a set of high-quality,
 hand-written Python bindings for selected functions and classes in Nektar++. A
-typical snippet could look something like
+typical snippet could look something like:
 
 ```python
 from NekPy.LibUtilities import PointsKey, PointsType, BasisKey, BasisType
-from NekPy.LibUtilities import StdQuadExp
+from NekPy.StdRegions import StdQuadExp
 import numpy as np
+numModes = 8
+numPts   = 9
 ptsKey   = PointsKey(numPts, PointsType.GaussLobattoLegendre)
 basisKey = BasisKey(BasisType.Modified_A, numModes, ptsKey)
 quadExp  = StdQuadExp(basisKey, basisKey)
-x, y     = StdQuadExp.GetCoords()
+x, y     = quadExp.GetCoords()
 fx       = np.sin(x) * np.cos(y)
 proj     = quadExp.FwdTrans(fx)
 ```
 
-`NekPy` also uses the `Boost.NumPy` library, contained in Boost 1.63+, to
+`NekPy` uses the `Boost.NumPy` library, contained in Boost 1.63+, to
 automatically convert C++ `Array<OneD, >` objects to and from the commonly-used
-`numpy.ndarray` object, which makes the integration more seemless between Python
+`numpy.ndarray` object, which makes the integration more seamless between Python
 and C++.
 
 # How do I wrap things?
 
-`Boost.Python` is pretty comprehensive package and an extended discussion is
+`Boost.Python` is a pretty comprehensive package and an extended discussion is
 really beyond the scope of this project. See `doc/wrapping-guide.md` for some
 basic concepts and frequently-encountered issues.
 
@@ -140,8 +142,8 @@ with a sample mesh `newsquare_2x2.xml`:
 - `StdProject.py` shows how to use some of the `StdRegions` wrappers and
   duplicates the functionality of `Basis.py` using the `StdExpansion` class. Run
   this as `python StdProject.py`.
-- Finally, `MeshGraph.py` loads a mesh and prints out some basic properties of
-  its quadrilateral elements. Run it as `python MeshGraph.py newsquare_2x2.xml`.
+- `MeshGraph.py` loads a mesh and prints out some basic properties of its
+  quadrilateral elements. Run it as `python MeshGraph.py newsquare_2x2.xml`.
 
 If you want to modify the source files, it's advisable to edit them in the
 `examples` directory and re-run `make install`, otherwise local changes will be