Being a general-purpose programming language, Python hasn’t just been a preferred choice for machine learning but also for scientific computing, front-end or back-end such as with Node.Js development, desktop applications and the list goes on. Whereas R was created especially for statisticians. But what made these two programming languages well-suitable for machine learning was:
- Mainly suitable for non-programmers
- Had comprehensive ML libraries
- Most of the time, ML algorithms are implemented in Fortran, C, C++ or Cython mainly called from Python and R.
Reason 1 – Best web advancement language with a develop npm biological system