In parallel to research, I love to learn new programming languages and technologies.
Here are some languages I know, in reverse chronological order, and some sample projects:

1. Python (2016-2021): Simulations in various research-related topics, including:
   • Fairpy - a library of fair division algorithms;
   • Bitcoin and its new Lightning network;
   • Social choice and preference profiles;
   • Auctions and market equilibria.
     
     

2. Java 8 (2017-2018): a course in object-oriented programming.

3. Jekyll (2016): this website, featuring bilingual support.

4. SageMath (2015-2016): an automatic prover for our envy-free cake-cutting algorithm.

5. Node.js (2013-2016): the infrastructure for negochat, as well as:
   • limdu - a machine-learning framework;
   • computational-geometry - covering algorithms and 2-D fair cake-cutting.
     
     
6. PHP+MySQL+Javascript+CSS (2005-2016): many websites, for example:
   • MeeZoog - a dating site powered by our social network trust patent.
   • Temple Mount Sifting Project Unidentified Finds Research Forum.
   • Textia - a wiki-game that anyone can edit.
   • Tanakh Navigation Kit and my Tanakh Navigation Site.
     
     

7. Perl (2007-2014): automatic testing scripts for MeeZoog and bots for WikiSource.

8. Java 6 (2011-2013): natural-language projects, including:
   • The Hebrew parody generator;
   • Dialog understanding with textual entailment;
   • Probabilistic-Lexical-Inference-System demo.
     
     

9. NetLogo (2011-2012): agent-based simulations of land division and Jubilee simple and with income effects.

10. C++: my M.Sc. thesis (1997-1999), real-time programming during my IAF service (1999-2004) and teaching systems programming (2018-2021).

11. Matlab (1999-2004): simulation programming during my IAF service.

12. BASIC (1982): my first programming language :)