Free python web software for linux

Python Web Objects is a dynamic page generation system that allows the developer to embed Python code inside HTML. It is similar in function to what JSP is to Java. ts a module that runs under mod_python and the Apache webserver. It is designed to offer a good balance between a providing a clean way to integrate design content from code, while doing so as fast as possible.

Download the latest version, then read the documentation. If youre into antiques, you can always browse the archives, but theres no reason to use an old version.

To install PWO, first decompress the tarball you downloaded.
$ gunzip pwo-0.XX.tar.gz
$ tar xvf pwo-0.XX.tar

Then, copy the pwo.py module into some location in your PYTHONPATH. The proper location is usually /usr/local/lib/python2.x/site-packages/
$ cp pwo-0.XX/pwo.py /usr/local/lib/python2.2/site-packages/

PWO should now be ready to use.

To configure a directory to make PWO pages, you first need to make sure that the directory is visible on the web. Ask your friendly Apache sysadmin if you dont know what this means. In this document, the path youll be keeping your .pwo files in is called /path/to/pwodir/, and its corresponding URL is http://yourserver/url/to/pwodir/.
Let Apache and mod_python know that the pwo.py will be handling requests to .pwo files in that directory. Do this by adding a few lines to our entry in your httpd.conf file.


AddHandler python-program .pwo
PythonHandler pwo
PythonDebug On



The PythonDebug directive is optional, but you will most likely want it enabled while you are developing. It will make exceptions print tracebacks to the browser in plain-text format. For security reasons, you should comment it out on production systems.
Now a file /path/to/pwodir/some_file.pwo will generate its page at http://yourserver/url/to/pwodir/some_file.pwo. Try copying a simple one of the included samples, like hello.pwo, to this directory to test your installation.
If youve never used PWO before, learn the syntax, and/or check out some sample pages.

Python is an interpreted, interactive, object-oriented programming language. Python is often compared to Perl, Tcl, Scheme or Java.

Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems (X11, Motif, Tk, Mac, MFC). New built-in modules are easily written in C or C++. Python is also usable as an extension language for applications that need a programmable interface.

The Python implementation is portable: it runs on many brands of UNIX, on Windows, OS/2, Mac, Amiga, and many other platforms. If your favorite system isnt listed here, it may still be supported, if theres a C compiler for it.

The Python implementation is copyrighted but freely usable and distributable, even for commercial use.

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.

Pythons simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception.

When the program doesnt catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on.

The debugger is written in Python itself, testifying to Pythons introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

One of the features of Python that makes it so powerful is the ability to take existing libraries, written in C or C++, and make them available as Python extension modules. Such extension modules are often called bindings for the library.
SIP is a tool that makes it very easy to create Python bindings for C and C++ libraries. Python-SIP was originally developed to create PyQt, the Python bindings for the Qt toolkit, but can be used to create bindings for any C or C++ library.
SIP comprises a code generator and a Python module. The code generator processes a set of specification files and generates C or C++ code which is then compiled to create the bindings extension module. The SIP Python module provides support functions to the automatically generated code.
The specification files contains a description of the interface of the C or C++ library, i.e. the classes, methods, functions and variables. The format of a specification file is almost identical to a C or C++ header file, so much so that the easiest way of creating a specification file is to edit the corresponding header file.
SIP makes it easy to exploit existing C or C++ libraries in a productive interpretive programming environment. SIP also makes it easy to take a Python application (maybe a prototype) and selectively implement parts of the application (maybe for performance reasons) in C or C++.
Enhancements:
- This release adds support for consolidated and composite modules.
- It adds support for pickling classes and enums.

Python OpenID is a set of Python packages that support use of the OpenID decentralized identity system in your applications.
Python OpenID can be used to enable single sign-on for your Web sites or for running an OpenID server. Example code is supplied and a variety of storage back-ends are supported.
Main features:
- Refined and easy-to-use API.
- Extensive documentation.
- Many storage implemetations including file-based, SQL, and memcached.
- Simple examples to help you get started.
- Licensed under the LGPL.
Enhancements:
- This release includes support for Yadis discovery of OpenID servers and OpenID extensions.

Python in Scheme is a scheme library that allows you to run Python code within Scheme.

Python in Scheme project uses the Python/C API to embed a Python interpreter.

Gst-Python provides Python bindings for the GStreamer project. These bindings provide access to almost all of the GStreamer C API through an object oriented Python API.

CORBA-Python is a package supplies the following tools : idl2py : IDL compiler to Python.

idl2pyemb : IDL compiler to Python embedded with C idl2pyext : IDL compiler to Python extension with C idl2pycli : RPC-GIOP client stub generator idl2pysrv : RPC-GIOP server skeleton generator

Python XHTML is a simple Python module for the generation of valid XHTML.

ToDo:

* include tests for all methods in xhtml_test.py
* ensure that all text that is added to the document is xml safe
* include methods for added w3.org validation link buttons
* complete support for XHTML 1.1 specification