This week, we have been given the task of  finding the application installer for parallel computing. Then, i said to En.Azrul that Ipython is one of the app that can do parallel computing. Therefore, i would like to share a little things about Ipyhon. :) 

ABOUT IPython

It is a powerful architecture for parallel and distributed computing. the architecture abstracts out parallelism in a very general way, whic is enables IPython to support many different styles of parallelism. The architecture overview :

The architecture of Ipython consist of four components. They are 

• IPython engine
• IPython Hub
• IPython schedulers
• Controller client

IPython engine	IPython Hub	IPython schedulers	Controller client
commands over a network connection	center of an IPython cluster	Habdle all actions that can be performed on the engine	provide an interface for working with a set of engines
regular Python interpreter	Role: to facilitate queries of the cluster state, and minimize the necessary information required to establish the many connections involved in connecting new clients and engines.	Provide a fully asynchronous interface to a set of engines.	composed of a Hub and a collection of Schedulers
can handle incoming and outgoing Python objects sent over a network connection			provides a single point of contact for users who wish to utilize the engines connected to the controller

source retrieved from: http://ipython.org/ipython-doc/dev/parallel/parallel_intro.html