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!
In this Pandas tutorial, we will learn how to use Pandas to randomly select rows and columns from a dataframe. There are some reasons for randomly sampling our data; for instance, we may have a very large dataset and want to build our models on a smaller sample. Other examples are when carrying out bootstrapping […]
How to use Pandas Sample to Select Rows and Columns Read More »
In this Pandas tutorial, we will learn how to work with Excel files (e.g., xls) in Python. It will provide an overview of how to use Pandas to load xlsx files and write spreadsheets to Excel. In the first section, we will go through, with examples, how to use Pandas read_excel to; 1) read an
Pandas Excel Tutorial: How to Read and Write Excel files Read More »
This brief data analysis tutorial will teach us how to carry out repeated measures ANOVA in Python using the Statsmodels package. More specifically, we will learn how to use the AnovaRM class from statsmodels anova module. Here is a quick overview how to do ANOVA with Python:
Repeated Measures ANOVA in Python using Statsmodels Read More »
This Pandas tutorial will teach us how to work with Pandas dataframes. We will learn how to read and write Excel (i.e., xlsx) and CSV files using Pandas. Moreover, we will also learn how to add a column to Pandas dataframe object, and how to remove a column. Finally, we will learn how to subset
A Basic Pandas Dataframe Tutorial for Beginners Read More »
In this short post, I will show you a quick fix for the error “unsupported operand type(s) for +: ‘float’ and ‘NoneType’” with Pyvttbl. In earlier posts, I have shown how to carry out ANOVA using Pyvttbl (among other packages. See posts 1, 2, 3, and 4 for ANOVA using pyvttbl). However, Pyvttbl is not
Step-by-step guide for solving the Pyvttbl Float and NoneType error Read More »
In this post, PyCharm vs Spyder will be compared. If you have followed my blog you may have noticed that a lot of focus has been put on how to learn programming (particularly in Python). I have also written about Integrated Development Environments (IDEs). I think that an IDE may, in fact, be very useful
PyCharm vs Spyder: a quick comparison of two Python IDEs Read More »
In this short post, we are going to revisit the topic of how to carry out descriptive statistics in Python. In the previous post, I used Pandas (but also SciPy and Numpy, see Descriptive Statistics Using Python) but now we will only use Numpy. The descriptive statistics we will calculate are the central tendency (in
How to do Descriptive Statistics in Python using Numpy Read More »
One of the great things with programming is that you can automate things that is boring. For instance, as a student I often got schedules in the form of Word documents. I prefer to have all my activities in a digital calendar and used to manually enter every class, seminar, and so on from a
How to use Python to create an iCalendar file from a Word table Read More »
In this video you learn how to create a Flanker task using the Python package Expyriment. If you don’t know Expyriment it is an open-source library. You can program your experiments and run on Linux, Windows, and OS-x computers and Android devices. In the tutorial you will get familiar with Expyriment and get to create
Python Video Tutorial: Creating a Flanker Task using Expyriment Read More »
Inspired by my post for the JEPS Bulletin (Python programming in Psychology), where I try to show how Python can be used from collecting to analyzing and visualizing data, I have started to learn more data exploring techniques for Psychology experiments (e.g., response time and accuracy). Here are some methods, using Python, for visualization of
Exploring response time distributions using Python Read More »