Updated python docs

docs/overview/python-package.rst

@@ -9,6 +9,21 @@ Below is a diagram that provides insights on the relationship between Vulkan Kom
 .. image:: ../images/kompute-architecture.jpg
    :width: 70%
 
+Package Installation 
+^^^^^^^^^
+
+Once you set up the package dependencies, you can install Kompute from ```Pypi``` using ```pip``` by running:
+
+```
+pip install kp
+```
+
+You can also install from master branch using:
+
+```
+pip install git+git://github.com/EthicalML/vulkan-kompute.git@master
+```
+
 Core Python Components
 ^^^^^^^^
 
@@ -272,28 +287,15 @@ Similar to the logistic regression implementation in the C++ examples section, b
     print(tensor_b_in.data())
 
 
-Package Installation 
-^^^^^^^^^
-
-The package can be installed through the top level `setup.py` by running:
-
-```
-pip install kp
-```
-
-You can also install from master branch using:
-
-```
-pip install git+git://github.com/EthicalML/vulkan-kompute.git@master
-```
+Log Level Configuration
+^^^^^^
 
 You can configure log level with the function `kp.log_level` as outlined below.
 
 The values are TRACE=0, DEBUG=1, INFO=2, WARN=3, ERROR=4. Kompute defaults to INFO.
 
-```
-import kp
-kp.log_level(1)
-```
-
+.. code-block:: python
+   :linenos:
+    import kp
+    kp.log_level(1)
 

examples/python/README.md

@@ -8,8 +8,8 @@ The easiest way to try this example is by using the [Google Binder Notebook](htt
 
 Alternatively if you want to test the example yourself you can follow the following links:
 
-1. Install the Kompute Python Package
-2. Run the Array Multiplication Code
-3. Run the Logistic Regression Code
+1. Install the [Kompute Python Package](https://kompute.cc/overview/python-package.html)
+2. Run the [Array Multiplication Code]()
+3. Run the [Logistic Regression Code]()