Python for Data Analysis Review
Python for Data Analysis I bought the book ‘Python for Data Analysis‘ because I wanted to improve my Python skills. This book review is a summary of my impressions of it.
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In this category you will find posts that are related to programming and should be interesting for psychologists, cognitive scientists, and neuroscientists. Well, almost every researcher would probably find some of the information useful at some time!
Every research psychologist, cognitive scientist, and neuroscientist, should know how to program.. Knowing how to program and write scripts will make many of a researchers everyday tasks much easier. For instance, instead of going through line after line of raw data you can write a Python script that runs through each cell in each column. Furthermore, you get the possibility to use more advanced, and cutting edge, statistical techniques by using R statistical programming environment.
Another example might be to create experiments using PsychoPy (either by coding using Python or using the drag-and-drop interface) and the cheap and open-source Arduino microcontroller. Also, coding is fun and relaxing!
Python for Data Analysis I bought the book ‘Python for Data Analysis‘ because I wanted to improve my Python skills. This book review is a summary of my impressions of it.
Python for Data Analysis Review Read More »
How to Install PsychoPy on Linux Mint Installing PsychoPy on Linux Mint was not straight forward. This is a short guide on how to install PsychoPy on Linux Mint Debian edition. After some searching around on forums and such I found a solution and put it together in one place. PsychoPy is an application written
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In this post you will find a Python script for randomizing conditions with constraints (i.e., never 2 consecutive trials of X). This script will in a later post be implemented in a cross-modal oddball task created in Psychopy. I recently started to use Psychopy to build experiments. To build my experiments (mainly oddball tasks) I
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