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 # cookiecutter-conda-python
-A cookiecutter template for conda packages using Python
+A [cookiecutter](https://www.github.com/audreyr/cookiecutter "cookiecutter") template for 
+conda packages using Python
+
+## Features
+
+  -  Ready-made conda recipe found in conda.recipe/meta.yaml
+  -  Pre-configured .travis.yml for Travis CI
+  -  Coverage report hosted on Coveralls
+
+## Installation
+
+Prior to installing cookiecutter-conda-python, the cookiecutter package must be installed in your environment. This is achieved via the following command::
+
+    $ conda install cookiecutter
+
+With cookiecutter installed, the cookiecutter-conda-python template can be installed with::
+
+    $ cookiecutter https://github.com/conda/cookiecutter-conda-python.git
+
+Once cookiecutter clones the template, you will be asked a series of questions related to your project::
+
+    $ full_name [Full Name]: Enter your full name.
+
+    $ email [Email Address]: Enter your email address.
+
+    $ github_username [github_username]: Enter your github username.
+
+    $ repo_name [repository_name]: Enter the name of your project's repository.
+
+    $ package_name [package_name]: Enter the name of your package.
+
+    $ application_name [application]: Enter the name of your GUI application.
+
+    $ project_short_description [Short description]: Enter a short description about your project.
+
+    $ version [0.1.0]: Enter the version number for your application.
+
+## Usage
+
+After answering the questions asked during installation, a conda Python package will be
+created in your current working directory. This package will contain a simple CLI script
+and the conda recipe necessary to build the application into a conda package.
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