It's still widely used in academia (though I'm extremely glad IPython/Jupyter is being praised by Nature[1]), and it has a lot of "toolboxes" with a reasonable

It's still widely used in academia (though I'm extremely glad IPython/Jupyter is being praised by Nature[1]), and it has a lot of "toolboxes" with a reasonable integration between them. Once you step outside it, you need one library for the machine learning part of your project, another one for the computer vision aspects, yet another one for the reading of different data files. When you get to the 20th library you'd need, plus all the classes and wrappers you have to write on your own to achieve the same result, you start looking MATLAB under a softer light. That's even more for those who are no programming-inclined. [1] http://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261 http://www.nature.com/news/interactive-notebooks-sharing-the...