Software Alternatives & Reviews

Is python necessary to learn machine learning?

Shiny MC Stan
  1. 1
    Shiny is an R package that makes it easy to build interactive web apps straight from R.
    Pricing:
    • Open Source
    I don't know where that idea comes from, but R (like Julia) is a "full-fledged" programming languages by any stretch of the definition. Even if we leave aside the things R is great (arguably, the best) at (i.e. Data wrangling, plotting, statistical modeling, and scientific/technical publishing), you can do anything you want with R. Be it building dashboards or back-ends, MLOps, or even creating games. Granted, using R (or Python) to create a game is a stupid idea.

    #Web Frameworks #Developer Tools #Python Web Framework 32 social mentions

  2. Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences.
    Pricing:
    • Open Source
    Even if RStudio & the Tidyverse have mostly been promoting a functional programming style in R, it has full support for OOP (see R6 or R7 for more modern implementations of it). Let's not even mention the excellent Stan ecosystem for Probabilistic programming / Bayesian modeling, or Bioconductor, the biggest repository of bioinformatics packages & tools of any language.

    #Data Science And Machine Learning #Data Science #Statistics 24 social mentions

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