Python for Experimental Psychologists: A Fun Way of Learning How to Code Your Experiments and Analyses

Dalmaijer, Edwin S.; Hirst, Rebecca; Peirce, Jonathan

ISBN 10: 1032004800 / ISBN 13: 9781032004808

Published by Routledge, 2024

About this Item

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Bibliographic Details

• Title: Python for Experimental Psychologists: A Fun Way of Learning How to Code Your Experiments and Analyses
• Publisher: Routledge
• Publication Date: 2024
• Language: English
• ISBN 10: 1032004800
• ISBN 13: 9781032004808
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

Python for Experimental Psychologists equips researchers who have no prior programming experience with the essential knowledge to independently script experiments and analyses in the programming language Python. This book offers an excellent introduction, whether you are an undergraduate, a PhD candidate, or an established researcher.

This updated edition is on Python 3 (the most current version). It starts by teaching the fundamentals of programming in Python and then offers several chapters on scripting experiments (displaying stimuli, obtaining and logging user input, precision timing, etc.) using the popular PsychoPy package. The remainder of the book is dedicated to data analysis and includes chapters on reading/writing to text files, time series, eye tracking, data visualisation, and statistics.

Access to online support material enriches the learning experience with colour figures, example stimuli, datasets, scripts, and a portable Windows installation of Python. This book assumes no prior knowledge, and its informal and accessible tone helps readers with backgrounds in experimental psychology and cognitive neuroscience to quickly understand Python. It serves as a useful resource not only for researchers in these fields but also for lecturers instructing on methodology and data analysis.

Python for Experimental Psychologists demystifies programming complexities and empowers researchers to proficiently conduct experiments and analyse their results.

About the Author

Edwin S. Dalmaijer is a Lecturer (Assistant Professor) at the University of Bristol. He holds a DPhil from the University of Oxford, was a postdoc at the University of Cambridge, and has authored Python libraries, standalone software packages, teaching materials, and research articles.

Rebecca Hirst is Science Officer at Open Science Tools and Postdoctoral Researcher at Trinity College Dublin. She completed her undergraduate in Psychology and Cognitive Neuroscience and MSc in Psychology Research Methods at the University of Nottingham, where she then obtained a PhD in Psychology.

Jon Peirce is a neuroscientist, programmer, and dad. He holds an undergraduate in Psychology from St Andrews University, and a PhD in Neuroscience from the University of Cambridge. He is also the founder and CEO of Open Science Tools.