Madhurima Nagar

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Python is a general purpose language, not exactly made for web. There exists some embeddable PHP-like solutions, but in most Python web frameworks, you write Python and HTML (template) code separately.

For example in Django web framework you first write a view (view — you know — from that famous Model-View-Controller pattern) function:

def my_view(request, movie):"    return render_to_template('my_view.html',"                              {'movie': settings.MEDIA_URL + 'flash.swf?' + movie})

And register it with URL dispatcher (in Django, there is a special file, called urls.py):

..."url(r'/flash/(?P.+)$', 'myapp.views.my_view'),"...

Then a my_view.html template:

...object classid="clsid:XXXXXXXXX-YYYY-ZZZZ-AAAA-BBBBBBBBBB" codebase="http://fpdownload.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=7,0,0,0" width="100%" height="100%" id="main" align="middle">param name="allowScriptAccess" value="all" />param name="flashvars" value= />param name="movie" value="{{ movie }}" />param name="loop" value="false" />param name="quality" value="high" />param name="bgcolor" value="#eeeeee" />embed src="{{ movie }}" loop="false" quality="high" bgcolor="#eeeeee" width="100%" height="100%" name="main" align="middle" allowScriptAccess="all" type="application/x-shockwave-flash" pluginspage="http://www.macromedia.com/go/getflashplayer" />/object...

While this may seem like a lot of work for such a tiny task, when you have to write something bigger than simple value-substituting script, the framework pays back. For example, you may actually write a simple blog application in less than 100 lines of code. The framework will automatically take care of URL parsing (somehow like Apache's mod_rewrite for PHP), complex templating, database access, form generation, processing and validation, user authentication, debugging and so on.

There are a lot of different frameworks, each having its own good and bad sides. I recommend spending some time reading introductions and choosing one you like. Personally, I like Django, and had success with web.py. I've also heard good things about Pylons and TurboGears.

If you need something really simple (like in your example), where you don't need almost anything, you may just write small WSGI application, which then can be used, for example, with Apache's mod_python or mod_wsgi. It will be something like this:

def return_movie_html(environ, start_response):"    request_uri = environ.get('REQUEST_URI')"    movie_uri = request_uri[request_uri.rfind('/')+1:]"    start_response('200 OK', [('Content-Type', 'text/html')])"    return ['''"            

To sum it up: without additional support libraries, Python web programming is somehow painful, and requires doing everything from the URI parsing to output formatting from scratch. However, there are a lot of good libraries and frameworks, to make job not only painless, but sometimes even pleasant :) Learn about them more, and I believe you won't regret it.

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Reading and Writing XML Files in Python . from xml.dom import minidom # parse an xml file by name mydoc = minidom.parse('items.xml') items = mydoc.

None of these listed in TheFreeCountry are acceptable? None of them are in Python, but I should think that starting from XBLite might be more helpful than starting from Yacc/Bison/PLY.

Also, Vb2py might be a better starting position than PLY.

If you must go the PLY route, however, consider the MOLE Basic grammar as a starting point rather than trying to roll your own from scratch.

In deep narrator voice "FirePHP, with a little work, lets you send information to the firebug console. It can be rather detailed. see http://www.christophdorn.com/Blog/2009/04/03/how-to-integrate-firephp-for-ajax-development/ for the best info on it. is it better than other debugging tools? debatable. Honestly, I don't really use it much.

There are drawbacks of using reference counting. One of the most mentioned is circular references: Suppose A references B, B references C and C references B. If A were to drop its reference to B, both B and C will still have a reference count of 1 and won't be deleted with traditional reference counting. CPython (reference counting is not part of python itself, but part of the C implementation thereof) catches circular references with a separate garbage collection routine that it runs periodically...

Another drawback: Reference counting can make execution slower. Each time an object is referenced and dereferenced, the interpreter/VM must check to see if the count has gone down to 0 (and then deallocate if it did). Garbage Collection does not need to do this.

Also, Garbage Collection can be done in a separate thread (though it can be a bit tricky). On machines with lots of RAM and for processes that use memory only slowly, you might not want to be doing GC at all! Reference counting would be a bit of a drawback there in terms of performance...

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