PyEPL is a Python library designed for creating psychology experiments using codes. It is specifically designed to create a wide range of experimental situations and enables researchers to objectively analyze data.
One of the main features of PyEPL is its support for both visual and auditory stimuli. This feature allows users to create complex stimuli presentations that will help them to conduct meaningful and in-depth experiments. In addition to this, PyEPL supports both sound (microphone) and manual (keyboard/joystick) input as responses.
This means that researchers can easily collect responses from participants, using whatever response method suits them best. Whether it's a manual response via keyboard or a sound response generated through a microphone, PyEPL supports it.
Overall, PyEPL is a robust, efficient and powerful software package that makes coding psychology experiments in Python a breeze. This is because it comes with a wide array of tools and resources. Any user who wishes to carry out psychology experiments should definitely have PyEPL within their arsenal of tools.
Version 1.0.29: N/A