Programming

I have gained experience in a number of programming languages and use of commercial software for data analysis during my working career. I do programming on a daily basis in the following areas:

  • statistical analysis of data
  • development of several easy-to-use software with graphical user interfaces that allows non-programmers and non-statisticians to apply advanced statistical methods to their data [see Software projects]
  • development of data analysis packages in Python and R

 

The overview below lists programming languages and commercial data analysis software I am proficient in using. During most of my career I worked on the Microsoft Windows platform, but in recent years I have increasingly used Ubuntu.

 

PROGRAMMING LANGUAGES

  • Python [more]
    • numpy
    • scipy
    • scikit-learn
    • Spyder editor
    • wxPython
    • PyQT
    • pyper (interface between R and Python)
  • R
  • Matlab [more]
  • Delphi / Turbo Pascal [more]
  • Visual Basic / Basic
  • Assembler

 

COMMERCIAL DATA ANALYSIS SOFTWARE

 

PLATFORMS OR OPERATING SYSTEMS

  • Microsoft Windows
  • Ubuntu

 

 

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