adding wheels

README.md

@@ -15,7 +15,7 @@
 
 
 
-**Mlxtend is a library consisting of useful tools and extensions for the day-to-day data science tasks.**
+**Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks.**
 
 - This open source project is released under a permissive new BSD open source [license](./license) and commercially usable
 
@@ -28,7 +28,7 @@ Sebastian Raschka 2014-2016
 
 ## Links
 
-- **Documentation:** 
+- **Documentation:**
     - html: [http://rasbt.github.io/mlxtend/](http://rasbt.github.io/mlxtend/)
     - pdf: [http://sebastianraschka.com/pdf/software/mlxtend.pdf](http://sebastianraschka.com/pdf/software/mlxtend.pdf)
 - PyPI: [https://pypi.python.org/pypi/mlxtend](https://pypi.python.org/pypi/mlxtend)
@@ -83,7 +83,7 @@ python setup.py install
 
 #### Anaconda/Conda
 
-Conda packages are now available for Mac, Windows, and Linux. You can install mlxtend using conda by executing 
+Conda packages are now available for Mac, Windows, and Linux. You can install mlxtend using conda by executing
 
 ```bash
 conda install -c rasbt mlxtend

docs/sources/CONTRIBUTING.md

@@ -334,7 +334,7 @@ To deploy the documentation, execute
 To generate a PDF version of the documentation, simply `cd` into the `mlxtend/docs` directory and execute:
 
 ```bash
-python md2pdf.py 
+python md2pdf.py
 ```
 
 ## Uploading a new version to PyPI
@@ -411,7 +411,7 @@ $ pip uninstall mlxtend
 After this dry-run succeeded, repeat this process using the "real" PyPI:
 
 ```bash
-$ python setup.py sdist upload
+$ python setup.py sdist bdist_wheel upload
 ```
 
 ### 4. Removing the virtual environment
@@ -486,4 +486,4 @@ anaconda upload /Users/Sebastian/mlxtend_py27/linux-32/mlxtend-0.4.1-py27_0.tar.
 ```bash
 conda install -c rasbt mlxtend
 conda uninstall mlxtend
-```
+```

docs/sources/index.md

@@ -3,7 +3,7 @@
 
 ### Welcome to mlxtend’s documentation!
 
-**Mlxtend is a library consisting of useful tools and extensions for the day-to-day data science tasks.**
+**Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks.**
 
 - This open source project is released under a permissive new BSD open source [license](./license) and commercially usable
 
@@ -19,7 +19,7 @@
 
 ## Links
 
-- Documentation: 
+- Documentation:
     - html: [http://rasbt.github.io/mlxtend/](http://rasbt.github.io/mlxtend/)
     - pdf: [http://sebastianraschka.com/pdf/software/mlxtend.pdf](http://sebastianraschka.com/pdf/software/mlxtend.pdf)
 - Source code repository: [https://github.com/rasbt/mlxtend](https://github.com/rasbt/mlxtend)

docs/sources/installation.md

@@ -16,12 +16,22 @@ Alternatively, you download the package manually from the Python Package Index [
 python setup.py install
 ```
 
+##### Upgrading via `pip`
+
+To upgrade an existing version of mlxtend from PyPI, exectute
+
+```bash
+pip install mlxtend --upgrade --no-deps
+```
+
+Please note that the dependencies (NumPy and SciPy) will also be upgraded if you omit the `--no-deps` flag; use the `--no-deps` ("no dependencies") flag if you don't want this.
+
 ### Dev Version
 
 The mlxtend version on PyPI may always one step behind; you can install the latest development version from the GitHub repository by executing
 
 ```bash
-pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend
+pip install git+git://github.com/rasbt/mlxtend.git
 ```
 
 Or, you can fork the GitHub repository from https://github.com/rasbt/mlxtend and install mlxtend from your local drive via
@@ -32,8 +42,8 @@ python setup.py install
 
 ### Anaconda/Conda
 
-Conda packages are now available for Mac, Windows, and Linux. You can install mlxtend using conda by executing 
+Conda packages are now available for Mac, Windows, and Linux. You can install mlxtend using conda by executing
 
 ```bash
 conda install -c rasbt mlxtend
-```
+```

setup.cfg

@@ -0,0 +1,2 @@
+[bdist_wheel]
+universal = 1