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I can only speak from a data science perspective, but a lot of folks I know needed to move from MATLAB/SAS/SPSS to R (using RStudio) and Python (often with Jupy

I can only speak from a data science perspective, but a lot of folks I know needed to move from MATLAB/SAS/SPSS to R (using RStudio) and Python (often with Jupyter Notebooks) once they got into the field. Might just be the circles I run in, though. I personally recommend Python (using NumPy, SciPy, MatPlotLib/Seaborn, Pandas, Keras/PyTorch, Gensim, etc). There’s a lot more that you’ll need to bolt together yourself, but there are packages for pretty much anything you’ll likely need to do in terms of math/science/analysis/ML. That’s not to say that you shouldn’t advocate for Octave, though! I haven’t used it other than to poke around, but it seems like a great package.

galangalalgol 6y ago
Do any of them use julia in jupyter? I like the syntax and speed much better than numpy. The ffi from numpy into its native implementation is a high overhead.
- GavinAnderegg 6y ago
  None in my immediate group of friends, no. I honestly feel a bit behind the curve in terms of not knowing much about Julia these days. Maybe I’ll use it for Advent of Code this year!