/*!

\page python-api A word on the Python API

The Python API is highly similar to the C++ one. The main modules to import are:
- <B>%MEDCoupling</B>
- <B>%MEDLoader</B> (with mainly the static \ref MEDLoader "MEDLoader class" within this module)

The following intuitive rules have been used to map the C++ objects to the Python ones:
- std::vector become standard Python lists, see for example \ref py_mcdataarrayint_setpartofvalues where the function
ParaMEDMEM::DataArray::setInfoOnComponents() is used.
- the return values of C++ functions (usually passed as last arguments in the C++ prototype) are
returned directly as a tuple, see for example the Python usage of ParaMEDMEM::MEDCouplingUMesh::getReverseNodalConnectivity() in \ref cpp_mcumesh_getReverseNodalConnectivity. The 
initial prototype where the return values are passed as argument can however still be used, provided you instantiate
the returned objects first.
- the indexing mechanism is greatly simplified in Python, and offers similar functionalities to what NumPy 
provides thanks to the ':' (column) operator. Once can for example refer to part of an array with something like
 
\code{.py}
import MEDCoupling as mc
d = mc.DataArrayInt([(1,2), (3,4), (5,6)], 3, 2)   # an array of 3 tuples with 2 components
print d[:,1]                                       # show only second component of the array: 2,4,6
\endcode
 

Finally for the most common objects (DataArray, MEDCouplingUMesh, etc ...) one can direclty access the
Doxygen documentation in the interactive Python interpreter using the built-in help function from Python:

\code{.py}
import MEDCoupling as mc
help(mc.DataArrayDouble.getNumberOfTuples)
\endcode


*/