diff --git a/setup.py b/setup.py
index 93ef501..17a7be7 100644
--- a/setup.py
+++ b/setup.py
@@ -1,32 +1,41 @@
 import setuptools
 
 # Required packages
-dependencies = ["numpy", "visdom"]
+dependencies = [
+    "numpy",
+    "visdom"
+]
 documentation_packages = [
     "sphinx",
     "sphinxcontrib-napoleon",
-    "sphinxcontrib-programoutput",
+    "sphinxcontrib-programoutput"
+]
+
+testing_packages = [
+    "pytest",
+    "coverage"
 ]
-testing_packages = ["pytest", "coverage"]
 
 setuptools.setup(
-    name="numpynet",
-    version="0.0.1",
-    author="Brad Beechler",
-    author_email="Chronocook@gmail.com",
-    description="Approachable neural net implementation in pure numpy",
-    url="https://github.com/UptakeOpenSource/numpynet",
+    name='numpynet',
+    version='0.0.1',
+    author='Brad Beechler',
+    author_email='Chronocook@gmail.com',
+    description='Approachable neural net implementation in pure numpy',
+    long_description="Backward Propogation","Loss Functions","Feed Forward Networks",
+    "Gradient descent","Visualization of neural networks","neural net",
+    url='https://github.com/UptakeOpenSource/numpynet',
     packages=setuptools.find_packages(),
     install_requires=dependencies,
     extras_require={
-        "all": dependencies + documentation_packages,
-        "docs": documentation_packages,
+        'all': dependencies + documentation_packages,
+        'docs': documentation_packages
     },
     test_suite="tests",
     zip_safe=False,
     classifiers=[
-        "Development Status :: 3 - Alpha",
-        "Intended Audience :: Education",
-        "Programming Language :: Python :: 3 :: Only",
-    ],
+        'Development Status :: 3 - Alpha',
+        'Intended Audience :: Education',
+        'Programming Language :: Python :: 3 :: Only'
+    ]
 )