R: other data libraries: plyr, lubridate, zoo, forecast, data.table and sqldf R has a decent community and supports with large number of libraries.
Python: Libraries: scikitlearn, SciPy, NumPy, Pandas and Matlplotlib forms a powerful scipy-stack or read data-stack to do any data analysis you want. Easy syntax and support for general purpose coding Another beauty from pybag is iPython notebooks! Lately, you can do everything you do in R in Python The closer you are to statistics, you might prefer R. The closer you are to engineering production, you might prefer Python and Python is substantial faster than R. It may be best to combine both of them as you need them. Try rpy2 package? Personally, I tend to prefer python for its complete support for scraping, data cleaning, web production, nlp and pycons ofcourse. On Thursday, November 6, 2014 1:46:19 PM UTC+5:30, Aritra Biswas wrote: > > Please share your experience about R or Python and available useful > packages in these languages. I personally feel R has many useful packages > such as tidyr, ggvis, ggplot2, dplyr, rCharts, rMaps, shiny, googleVis and > many others, but many people prefer Python as well. > > I’m personally not quite familiar with Python. Can you please share your > experience and relative advantage of any one of them for exploratory data > analysis, interactive data visualization? And please suggest some of the > libraries you find quite useful. > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to datameet+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
