(Ebook PDF) Python for Experimental Psychologists 1st Edition by Edwin Dalmaijer -Ebook PDF Instant Download/Delivery:9781317206439, 1317206436
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Product details:
ISBN 10:1317206436
ISBN 13:9781317206439
Author: Edwin Dalmaijer
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.
Table of Contents:
- 1 Python
- Installation
- Interpreter
- Editor
- 2 Variable types
- Numbers
- Assigning variables
- Booleans
- Letters
- Sets
- Classes
- Functions
- Make some noise
- 3 Creating and presenting stimuli
- Scripts
- The display
- Running scripts
- Timing
- Screens
- Advanced: creating patches
- Comments
- 4 Processing responses
- Are peripherals accurate enough?
- Keyboard input
- If statements
- While loops
- Make some noise
- 5 Scripting an experiment
- Constants
- Creating Screens
- Instructions Screen
- A single trial
- For loop
- Logging values
- Display timing
- Randomisation
- Make some noise
- 6 Analysing behavioural data
- Analysis plan
- Extracting data
- Selecting data
- Averaging data
- Plotting data
- Combining datasets
- Statistical testing
- 7 Analysing traces
- Introduction
- Read eye-tracker data
- Plot your first trace
- Averaging traces
- 8 Eye tracking
- Introduction
- Creating an eye-tracking experiment
- Processing gaze data
- 9 Getting help
- Appendix: Code listing
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Tags:
Python,Experimental Psychologists,Edwin Dalmaijer

