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What Are The Risks Of Pervasive Computing?







What Are The Risks Of Pervasive
Computing?

What Are The Risks Of Pervasive
Computing?
12/23/2003 12:56 PM

While we're increasingly moving towards a world where technology is absolutely everywhere, some people are beginning to suggest that we study the "health, social and environmental implications" of technology everywhere. They're not necessarily looking at it from a negative perspective of "this needs to be stopped", but rather admitting that it's coming, no matter what, and we'll be better prepared to deal with whatever consequences (good and bad) if we can expect what many of them will be. This certainly makes sense, though, many of these types of reports always end up with calls to ban various technologies, rather than coming up with better solutions that try to minimize the bad while enhancing the good.




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What Are The Risks Of Pervasive Computing?

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I believe a primary requirement of a forms application is to make it possible for the form to be completed by a wide audience of people from whom I wish to gather data. A key driver, at least in the world of my customers, is to be able to distribute the form widely to people who aren't necessarily connected to the network and get them to fill it in and return it. I don't want to authenticate these people in my network. They won't install software on their computers just to fill out my form. They don't want to learn a new application.

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We have a home-grown templating system at work, which I intend to dedicate an entry to some time in the future. We originally wrote it in Python 2.2, but upgraded to Python 2.3 a while ago and have since been evolving our code in that environment. Today I found a need to load the most recent version of our templating system on to a small, long neglected application that had been running the original version ever since it had enough features to be usable.

Unfortunately, this application was running on a server that only had Python 2.2. Installing Python 2.3 would have been somewhat more painful here than on other servers we run for reasons I won't go in to, so I decided to have a go at getting our current code to run under the older Python version.

In the end, I only had to make three minor changes, all at the top of the file in question.

  1. I added from __future__ import generators as the very first line of the file. We use generators (with the yield statement) in a few places - this feature was only properly added in Python 2.3, but was made available in Python 2.2 as a "future enhancement" through the aforementioned obscure import.

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Traceback (most recent call last):
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Another look at PHP and Python


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Postscript: Some people have got the impression from this article that I am moving away from PHP. That is far from the truth. I will continue to use PHP extensively today, tomorrow and for the forseeable future.

I find Python harder than PHP.

It could be because we are programming multi-threaded networked servers in Python, and that could be inherently harder than coding dynamic web-sites. Another reason could be lack of familiarity with Python. For example, I couldn't find the equivalent of htmlspecialchars and other functions, so i had to roll my own.

Despite all these issues, we are continuing to develop this in Python because (AFAIK) PHP does not have stable networking frameworks.

So what do I like about Python?

- Neat Syntax

The use of indentation for compound statements discourages deep nesting, and thus more modular code.

- More Safety Checks

In PHP, when you search using a regular expression, an associative array is returned. In Python, a typed object, "match" is returned when a regular expression search is performed, and not a generic dictionary. You cannot perform arithmetic on strings, an explicit cast is required; neither can you concatenate numbers with strings, explicit typecasts are needed.

- Supports Multi-Threaded Apps

There exists a global lock in Python that prevents multi-threading from working effectively on multiple processors - nevertheless Python has reasonable thread support and allows me to develop reasonably responsive servers.

- Python's Compiler is Standard

Python has a standard compiler and byte-code format. There is no such standard in the PHP world, and most ISP's don't support Zend or Turck MMCache encoded PHP. Better still, a debugger is included in the package too.

- Python Fully Supports Unicode

Python 2.0 and later has full support for unicode. For example to convert big5 to unicode is the simple:

    unicode_str = unicode(tw_chinese_string, 'big5')

In contrast, see how complicated it is to perform double-byte to unicode conversions in PHP (see User Notes).

The only issue i had with the unicode support is that it doesn't come with a complete set of double-byte decoders (eg. big5, gb). After a 20 minute google search, i found this set of python cjk decoders.

And what I dislike about Python

- Python Is Not Rapid Enough?

I think that PHP is a better tool for rapid application development, especially for web-sites. Minor type issues are handled for you transparently in PHP. In Python, once a variable is set, stricter type-checking is performed on most operations.

So you can argue that Python is safer. But PHP coding is definitely more rapid.

Another thing i dislike is that Python's import/load facility does not check .py file modification dates. If i modify a .py file, Python's run-time environment will not recompile it until i restart Python, or perform a reload manually from the command-line interpreter.

- Database Access

Python does not have official database drivers, and you have to select and download these drivers yourself. It's easy to get it wrong. For example, only after coding the adodb_odbc module using PythonWin odbc extension did i realize how awful PythonWin odbc was. I then found the mxODBC extension - unfortunately the mxODBC requires commercial licensing ($75 per CPU).

- Python is Not That Popular

Popularity is relative. There are lots of Python programmers - but there are perhaps 3 times more PHP programmers than Python ones. In Malaysia, the ratio of PHP to Python programmers is probably much worse (10:1?). And there are many training centers offering PHP courses. AFAIK, there are no centers in Malaysia offering Python training. A quick search in monster.com reveals the following (numbers might change over time):

PHP: 131 jobs
http://jobsearch.monster.com/jobsearch.asp?q=php&re=0&sort=rv&tm=&fn=6 60&vw=b&cy=US&brd=1%2C1862%2C1863

Python: 41 jobs
http://jobsearch.monster.com/jobsearch.asp?q=python&re=0&sort=rv&t m=&fn=660&vw=b&cy=US&brd=1%2C1862%2C1863


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