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library for coding psychology experiments in Python

PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments.

It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries

This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime)


This package provides PyEPL for supported versions of python.

Package version:1.0.26-1


python-pyepl for Debian

So far not much to describe about specifics of Debian package of
PyEpl, but there are quite a few items on my TODO list (please see TODO file).

 -- Yaroslav O. Halchenko <>, Tue, 14 Mar 2006 23:24:48 -0500


pyepl (1.0.26-1) unstable; urgency=low

  * New upstream release

 -- Yaroslav Halchenko <>  Tue, 31 Oct 2006 21:00:47 -0500

pyepl (1.0.22-1) unstable; urgency=low

  * New upstream release
  * Depends on ttf-bitstream-vera (instead of recommends)

 -- Yaroslav Halchenko <>  Wed, 11 Oct 2006 00:51:18 -0400

pyepl (1.0.21-1) unstable; urgency=low

  * New 


python-pyepl for Debian

* Proper "clean"-up procedure

  Well... though it is not required (or in other words "could be
   avoided") -- it is good to have proper clean-up procedure and
   original Makefiles were missing clean target. Besides that
   is not tailored to provide proper cleaning. Temporary fix was
   applied but proper solution would be better

* Chec


This package was debianized by Yaroslav Halchenko <> on
Tue, 14 Mar 2006 20:58:

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