Django has become the de-facto web framework for Python. Although, since Django just specializes in dynamic content, you have to combine it (at least in production) with an HTTP server to serve static content such as css, javascript files and images files. In the past, the communication protocol between Python web applications was CGI, FastCGI or mod_python. But after PEP-333 was accepted the faster and more efficient WSGI became the standard.
Green Unicorn is a Python WSGI HTTP Server for UNIX. Its combination with the high performance HTTP server NGinx is gaining lot of momentum in the Python community.
From “man gunicorn”…
Green Unicorn (gunicorn) is an HTTP/WSGI server designed to serve
fast clients or sleepy applications. That is to say; behind a
buffering front-end server such as nginx or lighttpd.
We are describing here how to combine a Django application with Green Unicorn and Nginx within a pristine EC2 Ubuntu 11.10 image.
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In this snippet I will show how to use the Tweepy library to get statistics from Tweeter.
The script will read a sample feed from the Twitter Streaming API (http://dev.twitter.com/pages/streaming_api) and perform the following actions:
* Reads the sample feed
* Notes the number of retweets seen
* Tracks the number of times posts have been retweeted, and
* Produces an hourly report of the 20 most frequently retweeted posts
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Hi!, this a clean and simple sample test of a web app using Open ID login in Google App Engine + Django.
http://bitbucket.org/deccico/djangoappengine-openid-sample
This application combines with slight modifications, the following projects:
- Djangoappengine: http://www.allbuttonspressed.com/projects/djangoappengine
- Django-nonrel http://www.allbuttonspressed.com/projects/django-nonrel – Changes to Text fields to Chars, due to lack of filtering support in the firsts
- OpenID integration: https://launchpad.net/django-openid-auth – Small change in the login view template, in order to work with standard Cross site forgery protection
- Python OpenID library: http://github.com/openid/python-openid
Just remember to add {% csrf_token %} within the login form of your own view.
enjoy!
Hi, below there is a little snippet that calculates the closest point to a segment. It is written in C++ but could be easily translated to any other language. Disclaimer: given its age, it use hungarian notation, and some names are in spanish, but it was deeply tested and works ok. 
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Back in time, I had to make a simple html editor. It was very easy, by using a simple TCppWebBrowser (wb) and the IHTMLDocument2 interface. You will also need a TMemo (memo1) control. Here is the source code, hope it helps someone 
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The problem: You match a string with your regex, but you need to replace just a portion of it. How could we replace it?
The trick is simple, put the text you want to replace within “()” which means “group” in regex language. If the regex worked, you could replace just that portion by using Python match information, like in this example:
#the first group contains the expression we want to replace
pat = "word1\s(.*)\sword2"
test = "word1 will never be a word2"
repl = "replace"
import re
m = re.search(pat,test)
if m and m.groups() > 0:
line = test[0:m.start(1)] + repl + test[m.end(1):len(test)]
print line
else:
print "the pattern didn't capture any text"
This will print: ‘word1 will never be a word2‘
The group to be replaced could be located in any position of the string.
