Python for Experimental Psychologists: A Fun Way of Learning How to Code Your Experiments and Analyses
Author: Edwin S. Dalmaijer (Author)
Publisher finelybook 出版社: Routledge
Edition 版本: 2nd
Publication Date 出版日期: 2024-11-11
Language 语言: English
Print Length 页数: 186 pages
ISBN-10: 1032000457
ISBN-13: 9781032000459
Book Description
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 a companion website 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.
Review
‘Programming in Python is an invaluable skill for psychology researchers, for both making experiments and analysing the resulting data.’
Christopher R Madan, author of Memories That Matter: How We Remember Important Things, Academia and the World Beyond book series on post-PhD careers, and An Introduction to MATLAB for Behavioral Researchers
Praise for previous edition
‘An easy-to-read introduction. In a humorous style it introduces the reader to programming in Python, picking them up where they are as experimental psychologists. Very useful indeed!’
Ulrich von Hecker, Senior Lecturer, Cardiff University, UK
‘Edwin Dalmaijer provides an intuitive introduction into psychological experimentation using Python libraries co-developed by the author himself. Well-structured and easy to read, this book will quickly have you programming, running and analysing your own experiments using open, modern tools.’
Tomas Knapen, Assistant Professor Cognitive Neuroscience, Vrije Universiteit Amsterdam, The Netherlands
‘Python is fast becoming the lingua franca of scientific research, and this excellent and highly accessible book fills a much-needed gap for experimental psychologists. The strong focus on developing genuinely useful experimental code, and the comprehensive examples included, make it an outstandingly useful resource not just for students, but for seasoned researchers as well. Certainly the best (and funniest!) introduction to Python I’ve come across.’
Matt Wall, Imaging Scientist, Imperial College London, UK
About the Author
Dr 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.
相关文件下载地址
相关推荐
- Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps
- Real-World Edge Computing: Scale, secure, and succeed in the realm of edge computing with Open Horizon
- Salesforce DevOps for Architects: Discover tools and techniques to optimize the delivery of your Salesforce projects
- Segment Routing in MPLS Networks: Transition from traditional MPLS to SR-MPLS with TI-LFA FRR
- Unveiling NIST Cybersecurity Framework 2.0: Secure your organization with the practical applications of CSF
- Managing Project Risks, 2nd Edition