rich structure text for readme

Author: Takaya Uchida

README.md

@@ -0,0 +1,35 @@
+xrft: Fourier transforms for xarray data
+=========================================
+
+.. image:: https://travis-ci.org/xgcm/xrft.svg?branch=master
+   :target: https://travis-ci.org/xgcm/xrft
+.. image:: https://codecov.io/gh/xgcm/xrft/branch/master/graph/badge.svg
+   :target: https://codecov.io/gh/xgcm/xrft
+.. image:: https://readthedocs.org/projects/xrft/badge/?version=latest
+   :target: https://xrft.readthedocs.io/en/latest/?badge=latest
+   :alt: Documentation Status
+.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1402636.svg
+   :target: https://doi.org/10.5281/zenodo.1402636
+
+**xrft** is an open-source Python package for
+taking the discrete Fourier transform (DFT) on xarray_ and dask_ arrays.
+
+.. _xarray: http://xarray.pydata.org/en/stable/
+.. _dask: https://dask.org
+
+It is:
+
+- **Powerful**: It keeps the metadata and coordinates of the original xarray dataset and provides a clean work flow of DFT.
+- **Easy-to-use**: It uses the native arguments of `numpy FFT`_ and provides a simple, high-level API.
+- **Fast**: It uses the `dask API of FFT`_ and `map_blocks`_ to allow parallelization of DFT.
+
+.. _numpy FFT: https://docs.scipy.org/doc/numpy/reference/routines.fft.html
+.. _dask API of FFT: http://docs.dask.org/en/latest/array-api.html?highlight=fft#fast-fourier-transforms
+.. _map_blocks: http://docs.dask.org/en/latest/array-api.html?highlight=map_blocks#dask.array.core.map_blocks
+
+Get in touch
+------------
+
+- Report bugs, suggest features or view the source code `on GitHub`_.
+
+.. _on GitHub: https://github.com/xgcm/xrft

README.rst

@@ -8,7 +8,7 @@ environment:
       MINICONDA: C:\Miniconda
 
     - PYTHON: "C:\\Python36"
-      PYTHON_VERSION: "3.6.1"
+      PYTHON_VERSION: "3.6.7"
       PYTHON_ARCH: "32"
       MINICONDA: C:\Miniconda3
 

appveyor.yml

@@ -1,5 +1,5 @@
 [metadata]
-description-file = README.md
+description-file = README.rst
 
 [aliases]
 test=pytest

setup.cfg

@@ -28,7 +28,7 @@
 
 DESCRIPTION = "Discrete Fourier Transform with xarray"
 def readme():
-    with open('README.md') as f:
+    with open('README.rst') as f:
         return f.read()
 
 setup(name=DISTNAME,