Rename to have README stand out on the gist

00README.rst

+============================================================================
+Cython example of exposing C-computed arrays in Python without data copies
+============================================================================
+
+The goal of this example is to show how an existing C codebase for
+numerical computing (here `c_code.c`) can be wrapped in Cython to be
+exposed in Python. 
+
+The meat of the example is that the data is allocated in C, but exposed
+in Python without a copy using the `PyArray_SimpleNewFromData` numpy
+function in the Cython file `cython_wrapper.pyx`.
+
+Note that the ownership of the memory is then handed off to the Python
+VM, and there is no control of when Python will deallocate the memory. If
+the memory is still being used by the C code, please refer to the
+following blog post by Travis Oliphant:
+http://blog.enthought.com/python/numpy-arrays-with-pre-allocated-memory
+
+To build it you will need Cython, numpy, and a C compiler. 
+
+Run::
+
+    $ python setup.py build_ext --i
+
+to build the C extension in-place.
+
+To test the C-Python bindings, run the `test.py` file.
+
+____
+
+:Author: Gael Varoquaux
+:License: BSD