Python For Experimental Psychologists
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Python for Experimental Psychologists
Author: Edwin S. Dalmaijer
language: en
Publisher: Taylor & Francis
Release Date: 2024-11-11
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.
Python for Experimental Psychologists
Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It sports a very readable syntax, intuitive variable management, and a very large body of functionality that ranges from simple arithmetic to complex computing. Python for Experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script experiments and analyses in Python. The skills it offers include: how to display stimuli on a computer screen; how to get input from peripherals (e.g. keyboard, mouse) and specialised equipment (e.g. eye trackers); how to log data; and how to control timing. In addition, it shows readers the basic principles of data analysis applied to behavioural data, and the more advanced techniques required to analyse trace data (e.g. pupil size) and gaze data. Written informally and accessibly, the book deliberately focuses on the parts of Python that are relevant to experimental psychologists and cognitive neuroscientists. It is also supported by a companion website where you will find colour versions of the figures, along with example stimuli, datasets and scripts, and a portable Windows installation of Python.
Programming Experiments in Python
Python is a free, open-source, cross-platform programming language that allows a great deal to be accomplished in very few lines of code. As well as having a powerful, flexible syntax, Python can interface easily with other libraries and hardware on any computer system, making it ideal for interacting with additional devices hardware (e.g. for fMRI, EEG, eye tracking etc.). Python has become the go-to language for a wide variety of behavioural science studies and experiments. Aimed at advanced undergraduate students, postgraduate students and professional scientists, this textbook provides a comprehensive guide to enable readers to write experiments in Python, or using Python within PsychoPy. This text offers a more advanced guide to developing psychological experiments in Python and can be used as a guide to using software and hardware together - for example, programming a psychological experiment using eye tracking software or EEG systems. Highly practical in nature, the book shows how to programme one full experiment and how to analyse data and scripting. Read together with Building Experiments in PsychoPy, this text is designed to support students who are familiar with PsychoPy and how want to progress into programming in the original software package Python (on which PsychoPy is built). It will help advanced students to programme directly in Python and support them when they use hardware in their experiments, and it particularly suited to those students programming experiments in cognitive psychology and neuroscience.