Uploaded package to pypi and updated install instructions.

Author: krishnan-r

Diff for: README.md

@@ -58,8 +58,7 @@ SparkMonitor is an extension for Jupyter Notebook that enables the live monitori
 
 ## Quick Installation
 ```bash 
-pip install https://github.com/krishnan-r/sparkmonitor/releases/download/v0.0.1/sparkmonitor.tar.gz #Use latest version as in github releases
-
+pip install sparkmonitor
 jupyter nbextension install sparkmonitor --py --user --symlink 
 jupyter nbextension enable sparkmonitor --py --user            
 jupyter serverextension enable --py --user sparkmonitor
@@ -68,7 +67,7 @@ ipython profile create && echo "c.InteractiveShellApp.extensions.append('sparkmo
 #### For more detailed instructions [click here](https://krishnan-r.github.io/sparkmonitor/install.html)
 #### To do a quick test of the extension:
 ```bash
-docker run -it -p 80:8888 krishnanr/sparkmonitor
+docker run -it -p 8888:8888 krishnanr/sparkmonitor
 ```
 
 ## Integration with ROOT and SWAN

Diff for: docs/install.md

@@ -14,8 +14,7 @@
 
 ## Quick Install 
 ```bash 
-pip install https://github.com/krishnan-r/sparkmonitor/releases/download/v0.0.1/sparkmonitor.tar.gz #Use latest version as in github releases
-
+pip install sparkmonitor
 jupyter nbextension install sparkmonitor --py --user --symlink 
 jupyter nbextension enable sparkmonitor --py --user            
 jupyter serverextension enable --py --user sparkmonitor
@@ -26,7 +25,7 @@ ipython profile create && echo "c.InteractiveShellApp.extensions.append('sparkmo
 1. Install the python package in the latest tagged github release. The python package contains the JavaScript resources and the listener jar file.
 
 ```bash
-pip install https://github.com/krishnan-r/sparkmonitor/releases/download/v0.0.5/sparkmonitor.tar.gz #Use latest version as in github releases
+pip install sparkmonitor
 ```
 
 2. The frontend extension is symlinked (```--symlink```) into the jupyter configuration directory by `jupyter nbextension` command. The second line configures the frontend extension to load on notebook startup.