If you have followed my blog you may have noticed that a lot of focus have been put on how to learn programming (particularly in Python). I have also written about Integrated Development Environments (IDEs). IDEs may, in fact, be very useful when learning how to code. When it comes to Python IDEs it may […]

# Author: Erik Marsja

## Step-by-step guide for solving the Pyvttbl Float and NoneType error

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 showed how to carry out ANOVA using Pyvttbl (among other packages. See posts 1, 2, 3, and 3 for ANOVA using pyvttbl). However, Pyvttbl is not […]

## PyCharm vs Spyder: a quick comparison of two Python IDEs

In this post, PyCharm vs Spyder will be compared. If you have followed my blog you may have noticed that a lot of focus have 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 […]

## How to do Descriptives Statistics in Python using Numpy

In this short post we are going to revisit the topic on how to carry out summary/descriptive statistics in Python. In the previous post, I used Pandas (but also SciPy and Numpy, see Descriptive Statistics Using Python) but now we are only going to use Numpy. The descriptive statistics we are going to calculate are […]

## How to do Descriptive Statistics in Python using Numpy

In this short post we are going to revisit the topic on how to carry out summary/descriptive statistics in Python. In the previous post, I used Pandas (but also SciPy and Numpy, see Descriptive Statistics Using Python) but now we are only going to use Numpy. The descriptive statistics we are going to calculate are […]

## How to use Python to create an iCalendar file from a Word table

One of the great things with programming is that you can automate things that is boring. As a student I often get schedules in the form of Word documents. I prefer to have all my activities in a calendar and used to manually put every time in a course into my calendar. Today I got […]

## Python Video Tutorial: Creating a Flanker Task using Expyriment

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 as well as on Android devices. In the tutorial you will get familiar with Expyriment and […]

## Exploring response time distributions using Python

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 […]

## Best Python libraries for Psychology researchers

Python is gaining popularity in many fields of science. This means that there also are many applications and libraries specifically for use in Psychological research. For instance, there are packages for collecting data & analysing brain imaging data. In this post, I have collected some useful Python packages for researchers within the field of Psychology […]

## PsychoPy video tutorials

PsychoPy, as I have previously written about (e.g., Free and Useful Software and PsychoPy tutorial) is really a great Python tool for creating Psychology experiments. You can Python code by either using “code view” or import the package in your favourite IDE. Furthermore, you can use the builder mode and just drag and drop different items […]

## Two-way ANOVA for repeated measures using Python

Previously I have shown how to analyze data collected using within-subjects designs using rpy2 (i.e., R from within Python) and Pyvttbl. In this post I will extend it into a factorial ANOVA using Python (i.e., Pyvttbl). In fact, we are going to carry out a Two-way ANOVA but the same method will enable you to […]

## Three ways to do a two-way ANOVA with Python

In an earlier post I showed four different techniques that enables two-way analysis of variance (ANOVA) using Python. In this post we are going to learn how to do two-way ANOVA for independent measures using Python. An important advantage of the two-way ANOVA is that it is more efficient compared to the one-way. There are […]

## Four ways to conduct one-way ANOVAs with Python

The current post will focus on how to carry out between-subjects ANOVA using Python. As mentioned in an earlier post (Repeated measures ANOVA with Python) ANOVAs are commonly used in Psychology. We start with some brief introduction on theory of ANOVA. If you are more interested in the four methods to carry out one-way […]

## Repeated measures ANOVA using Python

A common method in experimental psychology is within-subjects designs. One way to analysis the data collected using within-subjects designs are using repeated measures ANOVA. I recently wrote a post on how to conduct a repeated measures ANOVA using Python and rpy2. I wrote that post since the great Python package statsmodels do not include repeated […]

## Descriptive Statistics using Python

Descriptive Statistics After data collection, most Psychology researchers use different ways to summarise the data. In this tutorial we will learn how to do descriptive statistics in Python. Python, being a programming language, enables us many ways to carry out descriptive statistics. Pandas makes data manipulation and summary statistics quite similar to how you would […]