Python for R Users Ajay Ohri
Publisher: Wiley

Is R still a better data analysis language than Python? R is a free software environment for statistical computing and graphics. It is a huge repository of R packages to which users can easily contribute. There seem to be growing interest in Python in the R cummunity. A side by side comparison of using Python for R users using a standard data science/ analytics workflow. A Hungarian group for wannabe, basic and expert R users dealing with data analysis, statistical modelling, visualization, data Joint BI-Python-R meetup. As part of my research for my upcoming book ” Python for R users – A Data Science Approach”, here are some ways to use both Python and R. This post shares the video from the talk presented in 2014 by Eu Jin Lok on mining tweets with R presented at Melbourne R Users. I've written exactly equivalent code in python and R where R was over . As someone who does data analysis with Python and have been diving in R lately, the situation isn't as clear cut. Python uses 0-based indexing whereas indices in R start from 1: . Both R and Python have facilities where the coder can write a script which requests a user to input some information. "[R Shiny] is specifically designed for R users to build single-page apps for analyzing and/or visualizing data. Python for R Users or ( R for Python Users) Thanks! Last year I attended a talk in our Bay Area R Users Group, given by a highly insightful husband/wife team. This group exists to support R users in and around Cork, Ireland. This question appears to be off-topic.