《Python for Experimental Psychologists: A Fun Way of Learning How to Code Your Experiments and Analyses》，Second Edition

English | 2024 | ISBN: 1032000457 | 201 pages | True PDF EPUB | 10.12 MB

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.

《Python 为实验心理学家》这本书为没有编程经验的研究人员提供了在 Python 编程语言中独立编写实验和分析所需的基本知识。无论你是本科生、博士生还是资深研究者，这本书都能提供一个优秀的入门介绍。此次更新版基于最新的 Python 3 版本。它从教授 Python 的基础开始，然后以流行的 PsychoPy 包为媒介，提供了几章关于使用脚本编写实验（展示刺激、获取和记录用户输入、精确时间控制等）的内容。书的其余部分专注于数据分析，并包括读写文本文件、时间序列、眼动追踪、数据可视化以及统计学章节。配套网站的访问能够丰富学习体验，其中包含彩色插图、示例刺激、数据集、脚本以及一个可移植的 Python 安装。这本书不需要任何编程基础，其非正式和亲民的语气有助于背景知识在实验心理学与认知神经科学中的读者快速理解 Python。它不仅为这些领域的研究人员提供了有价值的资源，也为教授方法论和数据分析课程的教师服务。《Python 为实验心理学家》这本书简化了编程的复杂性，并赋予了研究者们能够熟练地开展实验并分析结果的能力。

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