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                          Pycoco installation
                          ===================

Requirements, installation and configuration
============================================

   Home > Python software > Pycoco > Installation         Text · XIST

   Python softwarelist of projects

     * ll.xistAn extensible XML/HTML generator
     * ll.ul4cA templating language
     * ll.urlRFC 2396 compliant URLs
     * ll.makeObject oriented make replacement
     * ll.daemonForking daemon processes
     * ll.sisyphusWriting cron jobs with Python
     * ll.colorRGB color values and color model conversion
     * ll.miscMisc utility functions and classes
     * ll.orasqlUtilities for cx_Oracle
     * ll.nightshadeServe the output of Oracle functions/procedures
       with CherryPy
     * ll.scriptsScripts for UL4 template rendering and URL handling
     * AploraLogging Apache HTTP requests to an Oracle database
     * PycocoPython code coverage

          * HistoryChangeLog forpycoco
          * InstallationHow to install pycoco

     * DownloadLinks to Windows and Linux, source and binary
       distributions
     * Source codeAccess to the Mercurial repositories

                              Requirements
                              ============

   To use this module you need the following software packages:

    1. Python 2.5;

    2. ll-xist (version 3.2.2 or later);

                              Installation
                              ============

   distutils is used for installation, so it's rather simple. Execute
   the following command:

 $ python setup.py install

   For Windows a binary distribution is provided. To install it,
   double click it and follow the instructions.

   setuptools is supported for installation, so if you have
   setuptools installed the package will be installed as an egg (and
   you can use easy_install for installation).

   If you have difficulties installing this software, send a problem
   report to Walter Dörwald (walter@livinglogic.de).

                             Configuration
                             =============

   In addition to the environment variables CC and CXX (which are
   used by Python's Makefile itself for the C and C++ compiler), you
   can set the environment variable COV to point to the coverage
   program (the default is gcov).

   You must create a directory run in your home directory, where
   pycoco will put its pid file (log files will be put into ~/log,
   but this directory will be created automatically).