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

Edwin Stefan Dalmaijer, Rebecca Hirst, Jonathan Peirce

Research output: Book/ReportAuthored book

Abstract

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.
Original languageEnglish
PublisherTaylor & Francis Group
Number of pages200
Edition2nd
ISBN (Electronic)9781003174332
ISBN (Print)9781032000459, 9781032004808
Publication statusPublished - 11 Nov 2024

Research Groups and Themes

  • Cognitive Neuroscience
  • Learning and Teaching (Psychological Science)

Keywords

  • Python
  • python software
  • programming
  • data analysis
  • data visualisation
  • eye tracking
  • NumPy
  • SciPy
  • Matplotlib

Fingerprint

Dive into the research topics of 'Python for Experimental Psychologists: A Fun Way of Learning How to Code Your Experiments and Analyses'. Together they form a unique fingerprint.

Cite this