A Synopsis of R, Python and Matlab/Octave syntax

scripting-tutorials
Published

May 28, 2016

This work is NOT mine. It just points to a compilation of resources which are useful syntactical differences among popular scripting languages. It just happens that you may need to code in different languages at once, and may stumble on commands that are similar but not identical to one another.

The links contain Matlab/Octave, R, Python and Julia syntaxes for common operations.

  1. Matlab vs Python
  2. Matlab, Python (Numpy), R, Julia
  3. Python vs R (no, NOT quarrelling about either)
  4. NumPy for R users

Potentially, a number of benchmarks and evaluations could be posted, unnecessarily duplicating someone else’s work. I’ll add to the list only when I need it!

Who am I?

Physicist and data scientist, 25+ years across applied physics (plasma, materials) and data science / ML — now working under one consulting practice.

Independent data-science and analytics consulting (2013–2016; 2021–2023). Head of a Data Science R&D Lab (2019–2021). Senior Data Scientist and consultant roles (2017–2019) across telecom, industrial, and public-sector clients. Since 2023, I lead applied energy-systems modeling work — combining physics-based device models with grid analytics and planning — for renewable-energy R&D in the UAE.

Co-author, The PyPSA Handbook (Elsevier, 2025).

Current interests: Symbolic Regression, Time series and IoT.

Teaching

Mind your business!

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