Python for Experimental Psychologists

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. It offers an excellent introduction, whether you are an undergraduate, a PhD candidate or an established researcher.

Autorentext

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.

Klappentext

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. It offers an excellent introduction, whether you are an undergraduate, a PhD candidate or an established researcher.

Inhalt

About this book
About Python
About the authors

1. Python
2. Variable Types
   Make Some Noise
   Random Numbers
3. Creating and Presenting Stimuli
4. Processing Responses
   Make Some Noise
5. Scripting An Experiment
   Make Some Noise
6. Analysing Behavioural Data
7. Analysing Traces
8. Eye Tracking
9. Common Statistical Tests

Getting Help
Acknowledgements
References