Here are some examples of scientific simulation and analysis software that I have made significant contributions to.
Julia is an exciting new programming language for technical computing. Julia is fast due to its just-in-time compiler, and has most of the mathematical functionality for carrying out calculations for scientific computing built-in.
To enable the analysis of astrophysical simulation data from within a Julia environment, I have written a package for Julia called YT. YT exposes a number of the essential features of yt from within a Julia environment, including datasets, data containers, unit-aware quantities and arrays, and some of the plotting tools.
To find out more visit http://hea-www.cfa.harvard.edu/~jzuhone/yt_julia.
The LCAPI provides an interface to WWT's Layer Manager by sending data and information in the form of strings over HTTP. pywwt simply provides a Python interface to make these calls, enabling the control of WWT from scripts or a Jupyter notebook. Most importantly, it enables the passing of data created within a Python environment to WWT.
To find out more visit http://hea-www.cfa.harvard.edu/~jzuhone/pywwt.