Monthly Archives: September 2018

Recommended: JupyterLab is Ready for Users

This page is moving to a new website.

Jupyter is an integrated development environment that uses a notebook interface. It was originally developed for Python, but is now available for a variety of other languages, including my favorite, R. I attended a talk about Jupyter from one of the main developers, and after explaining what Jupyter is, he demonstrated JupyterLab. JupyterLab is a new IDE that uses the same structure and files as Jupyter. It looks to be very simple but also very powerful. Continue reading →

Recommended: lavaan tutorial

This page is moving to a new website.

I have not run too many Structural Equation Modeling (SEM), so I can’t comment too much about this resource, but anytime I see something like SEM features added to R, I have to rejoice. This page gives a nice tutorial introduction to lavaan, the R package for SEM, and the material is pitched at a level easy to follow even for people like me who have a limited appreciation for SEM terminology. Continue reading →

PMean: Python, Raspberry Pi, and cluster computing

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I’ve been experimenting with connecting a small number of Raspberry Pi in a cluster computer, and a good place to start is MPI (Message Passing Interface). Unfortunately, many of the books and websites that I have looked at use examples in C and FORTRAN. These are fine languages, but ones that I am unlikely to need in the future. I want to explore MPI from with a newer programming language, Python. Here are some resources I have leaned on in getting this started. Continue reading →