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So I'm a budding quant, but came from an Economics background so what I learned first was R and, of course, have fallen in love ever since. However, I recently started doing research on why Python seems to be more valued in the finance industry, and based on many stack exchange questions (which I provide for context: here, here, and a reddit thread here), determined that, essentially, Python has two advantages:
- more robust integration with other languages and tools (C, VBA, etc.)
- bit faster when it comes to overall statistical analysis
However, R also has its clear Pros, which seem to be
- superior visual representation of data (ggplot2)
- access to cutting edge statistical and numerical methods
What I am interested in is the latter; however, I can't find too much research on what specific analysis R can do that Python can't. Would the more advanced statisticians and analysts here weigh in on this? I know Python has access to Tensorflow for deep learning and an advantage there, but are there any non-parametric analyses or non-linear models that Python won't have access to for the foreseeable future?