http://code.activestate.com/recipes/tags/archive-old/2012-06-20T22:32:01-07:00ActiveState Code Recipes2011-07-11T21:51:52-07:00Stephen Chappellhttp://code.activestate.com/recipes/users/2608421/http://code.activestate.com/recipes/577785-sea-example/

<p style="color: grey"> Python recipe 577785 by <a href="/recipes/users/2608421/">Stephen Chappell</a> (<a href="/recipes/tags/archive/">archive</a>). </p> <p>This is an example of the output from <a href="http://code.activestate.com/recipes/577485/">recipe 577485</a> after being formatted for 80 character line width. The file that it generated by the self extracting archiver is a simple PNG image that is only slightly larger than its raw version. By combining adaptive compression with base 64 encoding, the SEA can effectively turn a file into a Python program capable of recreating the original source. Please note that the last instruction in the generated program can only be run on Windows, and any suggestions on using a cross platform alternative would be greatly appreciated.</p>

2011-04-14T15:39:57-07:00Tyler Grosshueschhttp://code.activestate.com/recipes/users/4177659/http://code.activestate.com/recipes/577653-archiving-time-series/

<p style="color: grey"> Python recipe 577653 by <a href="/recipes/users/4177659/">Tyler Grosshuesch</a> (<a href="/recipes/tags/archive/">archive</a>, <a href="/recipes/tags/backup/">backup</a>, <a href="/recipes/tags/timestamp/">timestamp</a>). </p> <p>Copies files and directories periodically to a time-stamaped directory. Used to create a running record of digital files to document change over time.</p>

2012-06-20T22:32:01-07:00Stephen Chappellhttp://code.activestate.com/recipes/users/2608421/http://code.activestate.com/recipes/577485-self-extracting-archiver/

<p style="color: grey"> Python recipe 577485 by <a href="/recipes/users/2608421/">Stephen Chappell</a> (<a href="/recipes/tags/archive/">archive</a>, <a href="/recipes/tags/python/">python</a>). Revision 6. </p> <p>This is a command-line tool for making self-extracting file archives in Python.</p>