Prepare v0.3.0 (#80)

* Updated whatsnew

* minor update to README

* bump version to 0.3.0 in setup.py

README.md

@@ -9,7 +9,7 @@ A python toolbox for deriving rainfall information from commercial microwave lin
 Installation
 ------------
 
-`pycomlink` works with Python 2.7, Python 3.6 and Python 3.7. It can be installed via [`conda-forge`](https://conda-forge.org/):
+`pycomlink` works with Python 3.6 and newer. It might still work with Python 2.7, but this is not tested. It can be installed via [`conda-forge`](https://conda-forge.org/):
 
     $ conda install -c conda-forge pycomlink
 
@@ -19,7 +19,7 @@ Installation via `pip` is also possible:
 
     $ pip install pycomlink
 
-If you install via `pip`, there might be problems with some dependencies, though. Currently the dependency `pykrige` only installs if `scipy`, `numpy` and `matplotlib` have been installed before.
+If you install via `pip`, there might be problems with some dependencies, though. E.g. the dependency `pykrige` may only install if `scipy`, `numpy` and `matplotlib` have been installed before.
 
 To run the example notebooks you will also need the [Jupyter Notebook](https://jupyter.org/)
 and `ipython`, both also available via `conda` or `pip`.

docs/whats-new.rst

@@ -2,6 +2,36 @@
 What's New
 **********************
 
+v0.3.0
+------
+
+Backward Incompatible Changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+* The old API using `pycomlink.core.Comlink` objects has been removed. All processing
+  functions now work with `xarray.DataArrays` or pure `numpy.ndarray`. Most of the
+  original functions and notebooks from v0.2.x do not work anymore, but the basic parts
+  have already been refactored so that the full processing chain, from raw CML data
+  to rainfall fields works in v0.3.0.
+
+Enhancements
+~~~~~~~~~~~~
+
+* Added new example notebook for basic processing workflow (by cchwala in PR #77)
+
+* Added new example data (by maxmargraf in PR #75)
+
+* started docs from scratch with working integration to readthedocs (by jpolz in PR #74)
+
+* read data from cmlh5 files to `xarray.Dataset` (by maxmargraf in PR #68)
+
+* Added functions to perform wet-dry classification with trained CNN (by jpolz in PR #67)
+
+* applied black formatting to codebase (by nblettner in PR #66)
+
+* make repo runnable via mybinder (by jpolz in PR #64)
+
+
 v0.2.4
 ------
 

setup.py

@@ -17,23 +17,22 @@ def read(fname):
 
 setup(
     name = "pycomlink",
-    version = "0.3.0alpha",
+    version = "0.3.0",
     author = "Christian Chwala",
     author_email = "christian.chwala@kit.edu",
     description = ("Python tools for MW link data processing"),
     license = "BSD",
     keywords = "microwave links precipitation radar",
     url = "https://github.com/pycomlink/pycomlink",
     download_url = (
-        "https://github.com/pycomlink/pycomlink/archive/0.2.4.tar.gz"),
+        "https://github.com/pycomlink/pycomlink/archive/0.3.0.tar.gz"),
     packages=find_packages(exclude=['test']),
     include_package_data=True,
     long_description=read('README.md'),
     classifiers=[
         "Development Status :: 3 - Alpha",
         "Topic :: Scientific/Engineering :: Atmospheric Science",
         "License :: OSI Approved :: BSD License",
-        'Programming Language :: Python :: 2.7',
         'Programming Language :: Python :: 3.6'
     ],
     # A list of all available classifiers can be found at