Programming Experiments In Python
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Python for Experimental Psychologists
Author: Edwin S. Dalmaijer
language: en
Publisher: Taylor & Francis
Release Date: 2016-11-03
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.
The Big Book of Small Python Projects
Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity. If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online. You’ll create: • Hangman, Blackjack, and other games to play against your friends or the computer • Simulations of a forest fire, a million dice rolls, and a Japanese abacus • Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver • A first-person 3D maze game • Encryption programs that use ciphers like ROT13 and Vigenère to conceal text If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!
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.