If only that were true. There are many, many reasons to keep using Matlab, mostly toolboxes and decades of software written on top of it. As I said in another c

If only that were true. There are many, many reasons to keep using Matlab, mostly toolboxes and decades of software written on top of it. As I said in another comment, Matlab is a bad language, but a productive environment. In grad school, if I wanted to do my own EEG connectivity analyses, I could just include the Signal Processing Toolbox, the Stats Toolbox, and crunch my own numbers. Or, if I wanted to do a more standard analysis of my fMRI or EEG data, I would turn to the world's most popular open-source toolkits (SPM and Fieldtrip), both of which require... you guessed it, Matlab. The only place I ever found Matlab's libraries deficient for my needs was in machine learning. (I ended up doing an SVM-based spotlight fMRI analysis in Python.) There's a lot of lock-in and quality toolboxes around Matlab, Python/Julia won't knock it over yet, though I wish them the best of luck.