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module 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 common files such as images.

Package version:1.1.0-3


pyepl (1.1.0-3) unstable; urgency=low

  * Absorbed some changes from upstream:
     - NF: Added show warnings on streams.
     - RF: Cleaning up sound code.
     - BF: Was not picking streams properly.
     - BF: Trying out separate streams.
     - BF: Added updated RtAudio files for potential recording bug fix.
     - BF/NF: If you generate a Showable surface yourself, do not unload
       it au


Name: PyEPL
Maintainer: NeuroDebian Team <>

Copyright: 2003-2005, Michael J. Kahana
           2005-2009, Per B. Sederberg
           2005-2007, Aaron Geller
License: LGPL-2+
 This package is free software; you can redistribute it and/or
 modify it und

Browse inside python-pyepl-common_1.1.0-3_all.deb

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