changes for installation with pip (pypi)

README.md

@@ -14,14 +14,26 @@ pyrenn is a [recurrent neural network](https://en.wikipedia.org/wiki/Recurrent_n
   * It comes with various examples which show how to create, train and use the neural network
 
 
-## Get Started
 
+## Installation
+
+### Install with pip (python only)
+
+From your command line, run:
+
+```bash
+pip install pyrenn
+```
+
+### Install manually
 1. [download](https://github.com/yabata/pyrenn/archive/master.zip) or clone (with [git](http://git-scm.com/)) this repository to a directory of your choice.
 2.	
 	* Python: Copy the `pyrenn.py` file in the `python` folder to a directory which is already in python's search path or add the `python` folder to python's search path (sys.path) ([how to](http://stackoverflow.com/questions/17806673/where-shall-i-put-my-self-written-python-packages/17811151#17811151))
 	* Matlab: Add the `matlab` folder to Matlab's search path ([how to](http://www.mathworks.com/help/matlab/matlab_env/add-remove-or-reorder-folders-on-the-search-path.html))
-3. Run the given examples in the `examples` folder.
-4. Read the [documenation](http://pyrenn.readthedocs.org) and create your own neural network
+
+## Get Started
+1. Run the given examples in the `examples` folder.
+2. Read the [documenation](http://pyrenn.readthedocs.org) and create your own neural network
 
 
 ## Copyright

setup.cfg

@@ -0,0 +1,2 @@
+[metadata]
+description-file = README.md

setup.py

@@ -16,7 +16,9 @@
     py_modules=['pyrenn'],
     license='GPL',
     author='Dennis Atabay',
+    author_email = '[email protected]',
     url='http://github.com/yabata/pyrenn',
+    download_url = 'https://github.com/yabata/pyrenn/archive/v0.1.tar.gz',
     description='A recurrent neural network toolbox for Python and Matlab.',
     install_requires=[
         'numpy'