hope PyPI.org may parse MD properly (#63)

README.md

@@ -1,6 +1,6 @@
-# Module `hybridLFPy`
+# hybridLFPy
 
-Python module implementating a hybrid model scheme for predictions of
+Python module implementing a hybrid scheme for predictions of
 extracellular potentials (local field potentials, LFPs) of spiking
 neuron network simulations.
 
@@ -28,29 +28,28 @@ Juelich Research Centre and JARA, Juelich, Germany
 ## Citation
 
 Should you find `hybridLFPy` useful for your research, please cite the following paper:
-```
-Espen Hagen, David Dahmen, Maria L. Stavrinou, Henrik Lindén, Tom Tetzlaff,
-Sacha J. van Albada, Sonja Grün, Markus Diesmann, Gaute T. Einevoll;
-Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks,
-Cerebral Cortex, Volume 26, Issue 12, 1 December 2016, Pages 4461–4496,
-https://doi.org/10.1093/cercor/bhw237
-```
+
+    Espen Hagen, David Dahmen, Maria L. Stavrinou, Henrik Lindén, Tom Tetzlaff,
+    Sacha J. van Albada, Sonja Grün, Markus Diesmann, Gaute T. Einevoll;
+    Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks,
+    Cerebral Cortex, Volume 26, Issue 12, 1 December 2016, Pages 4461–4496,
+    https://doi.org/10.1093/cercor/bhw237
+
 
 Bibtex source:
-```
-@article{doi:10.1093/cercor/bhw237,
-author = {Hagen, Espen and Dahmen, David and Stavrinou, Maria L. and Lindén, Henrik and Tetzlaff, Tom and van Albada, Sacha J. and Grün, Sonja and Diesmann, Markus and Einevoll, Gaute T.},
-title = {Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks},
-journal = {Cerebral Cortex},
-volume = {26},
-number = {12},
-pages = {4461-4496},
-year = {2016},
-doi = {10.1093/cercor/bhw237},
-URL = { + http://dx.doi.org/10.1093/cercor/bhw237},
-eprint = {/oup/backfile/content_public/journal/cercor/26/12/10.1093_cercor_bhw237/2/bhw237.pdf}
-}
-```
+
+    @article{doi:10.1093/cercor/bhw237,
+    author = {Hagen, Espen and Dahmen, David and Stavrinou, Maria L. and Lindén, Henrik and Tetzlaff, Tom and van Albada, Sacha J. and Grün, Sonja and Diesmann, Markus and Einevoll, Gaute T.},
+    title = {Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks},
+    journal = {Cerebral Cortex},
+    volume = {26},
+    number = {12},
+    pages = {4461-4496},
+    year = {2016},
+    doi = {10.1093/cercor/bhw237},
+    URL = { + http://dx.doi.org/10.1093/cercor/bhw237},
+    eprint = {/oup/backfile/content_public/journal/cercor/26/12/10.1093_cercor_bhw237/2/bhw237.pdf}
+    }
 
 
 ## License
@@ -67,21 +66,20 @@ This software comes without any form of warranty.
 
 First download all the `hybridLFPy` source files using `git`
 (http://git-scm.com). Open a terminal window and type:
-```
-cd $HOME/where/to/put/hybridLFPy
-git clone https://github.com/INM-6/hybridLFPy.git
-```
+
+    $ cd $HOME/where/to/put/hybridLFPy
+    $ git clone https://github.com/INM-6/hybridLFPy.git
+
 
 To use `hybridLFPy` from any working folder without copying files, run:
-```
-(sudo) pip install -e . (--user)
-```
+    $ (sudo) pip install -e . (--user)
+
 
 Installing it is also possible, but not recommended as things might change with
 future pulls from the repository:
-```
-(sudo) pip install . (--user)
-```
+
+    $ (sudo) pip install . (--user)
+
 
 ### examples folder
 
@@ -93,9 +91,9 @@ Some example script(s) on how to use this module
 Source files for autogenerated documentation using `Sphinx` (https://www.sphinx-doc.org).
 
 To compile documentation source files in this directory using sphinx, use:
-```
-sphinx-build -b html docs documentation
-```
+
+    $ sphinx-build -b html docs documentation
+
 
 ### Dockerfile
 

hybridLFPy/version.py

@@ -1 +1 @@
-version = "0.2rc1"
+version = "0.2rc2"