eGovernance in Andhra Pradesh

eGovernance in India

Are we lagging behind the World? I dont think so, not atleast on paper. This is the list of eGovernance initiatives from India as reported in compendium of eGovernance by UNPAN. No wonder most of them are based in the capital [NCR].

Sno	eGovernance Project	Agency/Institution	Link to UN Report
1.	Web-based Blood Bank Management System	Department of Health and Family Welfare, Government of Delhi	Link to UN Report
2.	Computerized Bus Pass System	Delhi Transport Corporation	Link to UN Report
3.	Management Information System for Education	Education Department, Government of Delhi	Link to UN Report
4.	Public Distribution Management Systems	Department of Food and Supplies, Government of Delhi	Link to UN Report
5.	Tender Notice Information System	Department of Administrative Reform, Government of Delhi	Link to UN Report
6.	Gyandoot: Community-owned Rural Intranet Kiosks	Dhar District Administration, Government of Madhyapradesh	Link to UN Report
7.	Central Vigilance Commission Website	CVC, Union Government	Link to UN Report
8.	FRIENDS: The Online Citizen Payment	Department of IT & Services, Government of Kerala	Link to UN Report
9.	The E-district	Government of Tamilnadu	Link to UN Report
10.	Bhoomi: The Online Delivery of Land Titles	Department of Revenue, Government of Karnataka	Link to UN Report
11.	Single Window Cell	Hyderabad Metropolitan Water Supply & Sewerage Board, Government of Andhrapradesh	Link to UN Report
12.	Wired Village Project: Facilitating the Sugar Cane Production Process	National Informatics Center & Government of Maharastra	Link to UN Report
13.	Agricultural Marketing Information Network –AGMARKNET	Ministry of Agriculture, Union Government	Link to UN Report
14.	Science and Technology Entrepreneurship Project (Akshaya)	Department of IT, Government of Kerala	Link to UN Report
15.	The Computerized Interstate Check Posts (CICs)	Ministry of Home, Government of Gujarat	Link to UN Report
16.	Computerization of Passport Issuance System	Union Government	Link to UN Report
17.	Dairy Information System Kiosk (DISK)	Indian Institute of Management Ahmedabad	Link to UN Report 1 Link to UN Report 2
18.	The Exam Results web portal	NIC & Ministry of Communication &IT, Union Government	Link to UN Report
19.	Khajane	State Treasury , Government of the Karnataka	Link to UN Report 1 Link to UN Report 2
20.	LokMitra – the Web-enabled Government-Citizen Interface	Government of Himachal Pradesh	Link to UN Report
21.	The Vijaywada Online Information Center (VOICE)	Vijayawada City, Government of Andhra Pradesh	Link to UN Report
22.	The web site for the Directorate of Commercial Taxes	Directorate of Commercial Taxes, Government of West Bengal	Link to UN Report
23.	Drishtee	Drishtee dot com Inc.	Link to UN Report1 Link to UN Report2
24.	e-Seva Centers	West Godavari District Administration, Government of Andhrapradesh	Link to UN Report
25.	The Information Village – Pondicherry	Swaminathan Research Foundation (MSSRF) The International Development Centre (IDRC)	Link to UN Report

This is the not so exhaustive list of eGovernance Projects in India. With due respect to these initiatives I think there are many areas which can leave greater impact than those in the list.

You must be now wondering what the heck is eGovernance is it not some super woofer complex thing? Well the definition is not so complex.

“E-Government” refers to the use by government agencies of information technologies (such as Wide Area Networks, the Internet, and mobile computing) that have the ability to transform relations with citizens, businesses, and other arms of government

We should be happy that there is some progress atleast in providing simple, clean, transparent & Responsive Administration. Trying to read few of these reports, Some of them are very interesting like gyandoot, drishti etc..

PS: I still remember the 1st Constn Amendment Act Posting. Act is little long so will take more time. Glory to Panditji till then.

Saikrishna

Yet another player in the arena.. alas! No different though

Techcrunch reports rise of a new player in the asia-pacific recruitment market. As for any site there is this chicken and egg problem ie.., members don’t come to you because you don’t have jobs and jobs won’t come because there are no members.  Some how collect all the job listings in all other sites and  help the user find a job. The syndication of feeds between the other players does this “Somehow” task. I understand that there is wider reach for the jobs posted in one site but clearly there is no refinement in the process of suggesting right jobs to the job seekers and right applicants to the Employers. There is no novelty in the approach to solve the problem. All they are trying is to become big brother of these small firms and model their business on commissions earned by suggesting jobs probably. Why do people tend to follow the crowd? Why can’t they think of solving the problem in a creative and effective way?

Gosh! We need some creative products to solve this critical problem of finding livelihood. It demands more attention from the thinkers and entrepreneurs.

Keywords of Python

How to Think Like a Computer Scientist: 2. Variables, expressions and statements:

Python has twenty-nine keywords:

and	else	import	raise
assert	except	in	return
break	exec	is	try
class	finally	lambda	while
continue	for	not	yield
def	from	or
del	global	pass
elif	if	print

Interpreter and Compiler Differences and Python Position

How to Think Like a Computer Scientist: 1. The way of the program:

Two kinds of programs process high-level languages into low-level languages: interpreters and compilers. An interpreter reads a high-level program and executes it, meaning that it does what the program says. It processes the program a little at a time, alternately reading lines and performing computations.

A compiler reads the program and translates it completely before the program starts running. In this case, the high-level program is called the source code, and the translated program is called the object code or the executable. Once a program is compiled, you can execute it repeatedly without further translation.

Many modern languages use both processes. They are first compiled into a lower level language, called byte code, and then interpreted by a program called a virtual machine. Python uses both processes, but because of the way programmers interact with it, it is usually considered an interpreted language.