4 ms·
Not sure how complex your use case is, but I've found Pandas (on Python) to be just as powerful and much more performant than R for working with scientific data
by scroy 12y ago
Not sure how complex your use case is, but I've found Pandas (on Python) to be just as powerful and much more performant than R for working with scientific data. It's built on Numpy so you can use Scipy's statistical functions with it seamlessly.
- hadley 12y agoRecent benchmarks show the performance of pandas, data.table and dplyr to be pretty similar, with data.table usually being the fastest.