3 ms·
Agreed. The only time in practice (working on datasets consisting of millions of rows) that Python has been too slow was when I was taking courses in college an
by odonnellryan 5y ago
Agreed. The only time in practice (working on datasets consisting of millions of rows) that Python has been too slow was when I was taking courses in college and their online code thing timed out on some specific graph problems. I rewrote the algo in C# without any fuss
- tluyben2 5y agoAll analysis we run is over 100s of millions of objects (objects can be a few megabytes large) every time it runs. The slightest increase or decrease for 1 object obviously makes a huge difference overall; either in cost, time or both.
- odonnellryan 5y agoAbsolutely, but I don't feel the vast majority of corporations are doing that type of computation. I feel that even with hundreds of millions of rows Python can be a great solution (I have done multiple projects generating fairly complex projections from a few hundred million rows) for most projects.