version bumped to 2.2

doc/source/_templates/indexsidebar.html

@@ -2,6 +2,7 @@
 <h3>Timeline</h3>
 
 <ul style="list-style-type:disc">
+    <li>March 2017: EasyLEED 2.2 released. Python 3 support.</li>
     <li>July 2015: EasyLEED 2.1 released. Easier installation via setuptools.</li>
     <li>October 2014: EasyLEED 2.0 released. Many improvements and bug fixes (see <a href="https://github.com/andim/easyleed/blob/master/changelog">changelog</a>).</li>
     <li>March 2014: Fixed a number of minor bugs.</li>

source/easyleed/__init__.py

@@ -20,7 +20,7 @@
 
 """
 
-__version__ = "2.1"
+__version__ = "2.2"
 __author__ = "Andreas Mayer, Hanna Salopaasi, Nicola Ferralis"
 
 # import packages

source/setup.py

@@ -6,7 +6,7 @@
     requires=['numpy', 'matplotlib', 'scipy', 'pillow', 'pyqt4'],
 #    scripts=['easyleed.pyw'],
     entry_points={'gui_scripts' : ['easyleed = easyleed.__main__:main']},
-    version='2.1',
+    version='2.2',
     description='Automated extraction of intensity-energy spectra from low-energy electron diffraction patterns',
     long_description= """
 EasyLEED facilitates data analysis of images obtained by low-energy electron diffraction, a common technique in surface science. It aims to automate the process of extracting intensity-energy spectra from a series of diffraction patterns acquired at different beam energies. At its core a tracking algorithm exploiting the specifics of the underlying physics (see `paper <http://dx.doi.org/10.1016/j.cpc.2012.02.019>`_) allows to link the position of the diffraction maxima between subsequent images.
@@ -16,14 +16,15 @@
     author='Andreas Mayer, Hanna Salopaasi, Nicola Ferralis',
     author_email='[email protected]',
     url='https://andim.github.io/easyleed/',
-    download_url='https://github.com/andim/easyleed/archive/2.1.tar.gz',
+    download_url='https://github.com/andim/easyleed/archive/2.2.tar.gz',
     keywords=['LEED', 'surface science', 'image analysis', 'I(E) spectra', 'spot tracking'],
     license='GPLv2',
     platforms='any',
     classifiers=[
      'License :: OSI Approved :: GNU General Public License v2 (GPLv2)',
      'Development Status :: 5 - Production/Stable',
      'Programming Language :: Python :: 2.7',
+     'Programming Language :: Python :: 3.5',
      'Intended Audience :: Science/Research',
      'Topic :: Scientific/Engineering :: Chemistry',
      'Topic :: Scientific/Engineering :: Physics',