Timeline for R vs Python for Data Analysis
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| May 18, 2022 at 23:29 | comment | added | ivan866 |
R handles large datasets very well, but with specific tools, such as data.table with its lazy loading and memmap feature
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| Jan 25, 2014 at 18:15 | history | edited | Wayne | CC BY-SA 3.0 |
deleted 2 characters in body
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| Jan 4, 2013 at 14:23 | comment | added | The_Cthulhu_Kid | @Wayne I'm using Eclipse with PyDev, VS 2012 and rStudio. Up until now I am very pleased with all of them. Any tips or suggestions? | |
| Jan 4, 2013 at 13:41 | comment | added | Wayne | I'd again reiterate that the development environment is very important for programming. I'm old-school and learned without fancy IDEs, but if I were learning now, I'd want something more. I like Python, and it also runs on all platforms (I use a Mac, for example). | |
| Jan 4, 2013 at 10:06 | vote | accept | The_Cthulhu_Kid | ||
| Jan 4, 2013 at 7:52 | comment | added | The_Cthulhu_Kid | C# is what I have been learning in my course. Python, I feel, is more intuitive and more fun. I still have a lot to learn on all fronts but in my course it is mainly about app development and so I have had to teach myself the other things. Thanks for the advice! | |
| Jan 4, 2013 at 5:16 | comment | added | Steve P | My answer would be pretty similar to Wayne's. I always use Python to parse through data. And I use R for statistical analyses, graphs, inference, etc. This has served me well. Just make sure you learn some shell scripting so it is easier to link the two. Technically you can do statistical analysis, graphing, etc. in Python, too, but the community support isn't nearly as strong in those areas as it is in R. | |
| Jan 3, 2013 at 22:47 | history | answered | Wayne | CC BY-SA 3.0 |