So some time back I started an ongoing post trying to compare R, Matlab and Python. Well my answer is simple, there is no answer. And if you think differently you should ask yourself, “am I just being a fan-boy”?
If you want to read my previous post it is here, if not here is a quick summary of all 3…
- Proprietary meaning you will have to pay
- GUI’s for stuff. You can to build a ANN there’s a GUI, fancy a blast with Fuzzy Logic, guess what, there’s a GUI.
- Lots of toolboxes (but you pay for)
- Has Simulink, cool for rapid experimenting. Plug in a webcam and you can be object tracking in minuts (maybe 100 minutes, but still minutes)
- I hate how the windows go behind other windows (sorry, had to be said)
- Plenty of webinars
R / RStudio
- Not Proprietary, everything is free
- Rapidly became HUGE, like its everywhere. Want a job in machine learning or to be taken seriously in statistics? Then you need R on your CV..! (Facebook, Microsoft, Google all want R)
- No GUIs, now that is painful. It just makes everything that little bit harder to see what is going on.
- Lots of toolboxes (but called packages) and they are all FREE
- Too many toolboxes, yep also a curse. You always find a couple of toolboxes doing the same thing, which is best?
- RStudio, makes it so much more user friendly than the standard R environment. Don’t even try R without RStudio, seriously just don’t..!
- Why am I still using <- when I know = works?
Python (more SciKit Learn really)
- Rapid development
- Open source
- Multiple environments (Spyder and Notebook are my favourite)
- Grown in strength
- I have to question, will it replace R? I don’t know, some people love it, others like R. We’ll have to see
- Syntax like you’ve never seen before, seriously my tab key has worn down..!
- Maybe getting over complex. You’ll need get to grips with Pandas and NumPy. I found handling data formats a bit of a pain.
- Matlibplot outputs look a little naff, maybe I needed to play with it more
- Some good Deep Learning stuff out there (thinking of Theano)
- Finally, Anaconda, you need this distribution of Python.
So that’s it, all 3 are good. It depends on what you want to use it for. My fan-boy opinion is currently R, looks good on the CV, has loads of packages and the graphs look nice. Also, sooo much support for everything you want to do.