Senior researcher at Institute of Theoretical Physics and Astronomy (Faculty of Physics, Vilnius University). Research interests: stochastic and agent-based modeling, complex systems, Econophysics, Sociophysics, Statistical Physics and Data Science. Contributor to Physics of Risk science blog.
Currently I am using programming for scientific purposes as well as to make my everyday computer usage easier.
For scientific calculations I tend to rely on Python (for quick empirical analysis and model prototyping), C (for "heavy" calculations) and JavaScript (for interactive web models and complicated calculations requiring object oriented design). Sometimes I rely on Mathematica (for algebraic manipulations and because my coworkers use it) and Java (for historical reasons and because it is able to easily interface with Mathematica).
In everyday usage I rely on Bash scripting and Python.
Actively using: JavaScript (Node.js, jQuery, plotly, d3, Leaflet, TypeScript), Python (numpy, pandas, matplotlib, scipy, sympy, pymc3), C (GNU Scientific Library), Wolfram Mathematica.
Markup languages: LaTeX, Markdown, HTML, CSS.
Used in the past: Java, Matlab, GNU Octave, PHP, SQL, Object Pascal.
Got familiar with: R, Maple, Mathcad, SPSS, PostScript, SVG.
Github profile: https://github.com/akononovicius.