Do you want develop web applications in a fast, prototype based way using Python?

Follow us and learn how to use web2py….

Step 1: Python 2.6 proper setup

On Linux be sure to install sqlite development library; the following command will help on RedHat:

sudo apt-get install sqlite-devel

for the yum variant see here http://stackoverflow.com/questions/233320/cannot-import-sqlite-with-python-2-6

Install python 2.6, this will avoid the need of additional libraries.

You will also need openssl, so if you haven’t  it issue commands like

sudo apt-get install openssl

and be sure to get also the python wrapper pyOpenSSL hosted here

We happly compiled pyOpenSSL from sources

For more tips and tricks look also at this recipe about Apache Setup, if you need it.

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Django Project, a powerful and clean Python Web Framework, is going to relase 1.2 as  the next milestone at the beginning of March. For the meanwhile, you can grab the Beta2:

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One of the best thing of scripting languages like Python is the ability to fast prototype complex things. In the past ten years, if you like to build distributed application you was forced to use huge and heavily languages like Java.

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YASnippet is a template system for emacs. It allows you to type a abbrevation and automatically expand the abbreviation into function templates.

Bundled language templates includes: C, C++, C#, Perl, Python, Ruby, SQL, LaTeX, HTML, CSS and more.

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At Gioorgi.com we have used plenty of web frameworks.

Giovanni Giorgi used Seaside,  a lot of PHP frameworks, Java Struts, RubyOnRails, and Python Django.

We have started to look for Web2Py, a compact,  easy to learn  python web framework.

From the most notable feature, it runs also on Google App Engine. Written by an Italian University professor for teaching web development, spots a very clean design, and a robust security infrastructure. We  suggest it because installation (and upgrading) is a snap.

Let’s take a look to it…

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Released on June 8, 2009  Jython 2.5RC4 is out!

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As processors become faster and multiprocessor systems become cheaper, the need to take advantage of multithreading in order to achieve full hardware resource utilization only increases the importance of being able to incorporate concurrency in a wide variety of application categories.

In this article we are evaluting a new approach to the concurrency. In the last five years computers are becoming even more parallel. Intel is pushing multi-core achiteture also on commodity personal computers. Neverless the computing power is ofter not well used: one again, hardware is a step head of our day-by-day software development. Remember when the 80286 came into light. The 286 was able to provide a multi-programming architecture but without memory management protection. We had to wait 386 hardware to see software working on preemptive multi-tasking, because software cannot cope with unprotected memory. In one word, it costs too much to develop a operating system without the new features the 80386 bring to us. What about concurrent programming? Can we look similarities in the  concurrency field?

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The revamp of Jython 2.5, the python interpreter written in Java, is a very good news, because give us the chance to think of a new way of coding. Looking at Google trends,  JRuby and Jython are emerging as key  pieces of a new puzzle.

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