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At work, I use PyPy to run a Luigi server for our data pipeline. It gave us a pretty dramatic decrease in latency and allowed us to scale our workload with a tr

At work, I use PyPy to run a Luigi server for our data pipeline. It gave us a pretty dramatic decrease in latency and allowed us to scale our workload with a trivial change. It's unfortunate you can't choose your interpreter, but when you can it's pretty easy to just test both and see which one is faster. I also use it at home to solve Project Euler problems. For anything that takes more than half a second or so, it's usually a big win and can turn minutes into seconds.

Myrmornis 9y ago
Do any of the Project Euler questions actually require lengthy computation, or is that more a sign that one should be looking for some mathematical insight that leads to a more efficient computation?
- xapata 9y ago
  PyPy won't change your data structures and algorithms, so it's not finding mathematical insight.
  - Myrmornis 9y ago
    Yes that’s the point I was making. Maybe you intended your comment to be a sibling to mine.
    - xapata 9y ago
      More likely I missed your point.
    - daveFNbuck 9y ago
      It seems that you're saying that I should be finding mathematical insight instead of using PyPy, while xapata is saying that if my code runs fast in PyPy then I've already found enough mathematical insight.
- daveFNbuck 9y ago
  Most of them don't require lengthy computation, but some of them did for me. I know at least some of the time that's because I didn't know enough math, but sometimes I had the same algorithm as the other people in the solution thread but with much slower runtimes. I think numpy gives a bigger speedup than PyPy for a lot of the problems.
gsam 9y ago
> For anything that takes more than half a second or so, it's usually a big win and can turn minutes into seconds. As a counter to this, I purposefully try to use CPython in order to force me to find algorithmically optimal solutions. It's a useful way to learn.
- daveFNbuck 9y ago
  Having a faster interpreter also allows me to play with the numbers more to get a better feel and understanding for the problem. I think that's the point of Project Euler, but I understand your point of view.

Myrmornis 9y ago

Do any of the Project Euler questions actually require lengthy computation, or is that more a sign that one should be looking for some mathematical insight that leads to a more efficient computation?

xapata 9y ago
PyPy won't change your data structures and algorithms, so it's not finding mathematical insight.
- Myrmornis 9y ago
  Yes that’s the point I was making. Maybe you intended your comment to be a sibling to mine.
  - xapata 9y ago
    More likely I missed your point.
  - daveFNbuck 9y ago
    It seems that you're saying that I should be finding mathematical insight instead of using PyPy, while xapata is saying that if my code runs fast in PyPy then I've already found enough mathematical insight.
daveFNbuck 9y ago
Most of them don't require lengthy computation, but some of them did for me. I know at least some of the time that's because I didn't know enough math, but sometimes I had the same algorithm as the other people in the solution thread but with much slower runtimes. I think numpy gives a bigger speedup than PyPy for a lot of the problems.

gsam 9y ago

> For anything that takes more than half a second or so, it's usually a big win and can turn minutes into seconds. As a counter to this, I purposefully try to use CPython in order to force me to find algorithmically optimal solutions. It's a useful way to learn.

daveFNbuck 9y ago
Having a faster interpreter also allows me to play with the numbers more to get a better feel and understanding for the problem. I think that's the point of Project Euler, but I understand your point of view.