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Asked: May 11, 20262026-05-11T05:23:39+00:00 2026-05-11T05:23:39+00:00

I’ve got a number of scripts that use common definitions. How do I split

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I’ve got a number of scripts that use common definitions. How do I split them in multiple files? Furthermore, the application can not be installed in any way in my scenario; it must be possible to have an arbitrary number of versions concurrently running and it must work without superuser rights. Solutions I’ve come up with are:

  • Duplicate code in every script. Messy, and probably the worst scheme.
  • Put all scripts and common code in a single directory, and use from . import to load them. The downside of this approach is that I’d like to put my libraries in other directory than the applications.
  • Put common code in its own directory, write a __init__.py that imports all submodules and finally use from . import to load them. Keeps code organized, but it’s a little bit of overhead to maintain __init__.py and qualify names.
  • Add the library directory to sys.path and import. I tend to this, but I’m not sure whether fiddling with sys.path is nice code.
  • Load using execfile (exec in Python 3). Combines the advantages of the previous two approaches: Only one line per module needed, and I can use a dedicated. On the other hand, this evades the python module concept and polutes the global namespace.
  • Write and install a module using distutils. This installs the library for all python scripts and needs superuser rights and impacts other applications and is hence not applicable in my case.

What is the best method?

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  1. 2026-05-11T05:23:40+00:00Added an answer on May 11, 2026 at 5:23 am

    Adding to sys.path (usually using site.addsitedir) is quite common and not particularly frowned upon. Certainly you will want your common working shared stuff to be in modules somewhere convenient.

    If you are using Python 2.6+ there’s already a user-level modules folder you can use without having to add to sys.path or PYTHONPATH. It’s ~/.local/lib/python2.6/site-packages on Unix-likes – see PEP 370 for more information.

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