In this post, we will learn how to create a binder so that our data analysis, for instance, can be fully reproduced by other researchers. That is, here we will learn how to use a tool called Binder for reproducible research. In previous posts, we have learned how to carry out data analysis (e.g., ANOVA) […]
How to Use Binder and Python for Reproducible Research Read More »
In this Pandas tutorial, we will learn how to work with Pandas dataframes. More specifically, we will learn how to read and write Excel (i.e., xlsx) and CSV files using Pandas. We will also learn how to add a column to Pandas dataframe object, and how to remove a column. Finally, we will learn how
A Basic Pandas Dataframe Tutorial for Beginners 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 »
In this post, I will describe the existing free Python applications and libraries for creating experiments. So far, I have only used PsychoPy, but I plan to test most of them. At least the ones that seem to be still maintained. All applications and libraries are open-source, which makes it possible to download the source
Python apps and libraries for creating experiments Read More »