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I have found Matlab as a great tool to write scrips to do data exploration and manipulation; then later on I can easily reimplement the same workflows or algorithms into something like a python notebook and also have the added benefit of more flexible and open frameworks (for stuff like ML with keras and tensorflow).

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Sounds like you just know Matlab better then, I think python, and especially notebooks, are also very good for data exploration and manipulation. I've recently switched over from doing everything in Matlab to everything in python. Although I do occasionally fall back to Matlab for things like 3D plotting.

Also, if you like Matlab/know it well, you might want to look into the deep learning toolbox (if you have access to it). I found I was able to do all the stuff I was doing in keras with Matlab. Haven't learned to recreate all the stuff I was doing with tensor flow there, but it might be possible.

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