Pythran as a bridge between fast prototyping and code deployment

Post by rademacher » Thu, Nov 29, 2018, 1:11 PM UTC

Post by rademacher » Thu, Nov 29, 2018, 1:41 PM UTC

mark_l_watson wrote: post #3

rademacher wrote: post #2

Looks pretty nice. Unfortunately, I never run into this issue because I only get to write research code. The Julia language was designed to target the two language problem and at least from these benchmarks it looks pretty competitive [1]. I imagine over time, pythran may fix some limitations and beat Julia in most benchmarks. [1] https://github.com/fluiddyn/BenchmarksPythonJuliaAndCo/tree/...

Thanks for that benchmark link - puts the claims of the article in perspective. That said, I want to try Pythran to see how it works for one of my at-home side projects. I had to learn a bit of Julia about 20 months ago - an old customer got in a pinch when somewhen left before a deliverable so I was immersed using Julia for two weeks. At first I liked the idea of Julia but I didn’t fall in love with the language.

Post by svantana » Thu, Nov 29, 2018, 2:04 PM UTC

rademacher wrote: post #4

mark_l_watson wrote: post #3

Earlier quoted context omitted.

Thanks for that benchmark link - puts the claims of the article in perspective. That said, I want to try Pythran to see how it works for one of my at-home side projects. I had to learn a bit of Julia about 20 months ago - an old customer got in a pinch when somewhen left before a deliverable so I was immersed using Julia for two weeks. At first I liked the idea of Julia but I didn’t fall in love with the language.

I used to only use MATLAB, which for a lot of research code applications is actually nice for getting a prototype running quickly. Now that I have the freedom to choose, I typically use Julia as I'm trying to gain skills in opensource languages that are actually valuable in the job market. The choice of Julia over python is probably due to my nature of going against the grain, which flies in the face of my previous p…

Post by stabbles » Thu, Nov 29, 2018, 2:19 PM UTC

svantana wrote: post #6

rademacher wrote: post #4

Earlier quoted context omitted.

I used to only use MATLAB, which for a lot of research code applications is actually nice for getting a prototype running quickly. Now that I have the freedom to choose, I typically use Julia as I'm trying to gain skills in opensource languages that are actually valuable in the job market. The choice of Julia over python is probably due to my nature of going against the grain, which flies in the face of my previous p…

One major issue with Julia is that it only recently reached 1.0, with a lot of breaking changes, that make a lot of libraries incompatible. Another issue is that it's not always that fast, for a recent project I never managed to exceed 100 MFLOPS, at which point I switched to C++ and got 3 GFLOPS. But the python version stalled out at 4 MFLOPS though...

Post by ktta » Thu, Nov 29, 2018, 2:23 PM UTC

ktta wrote: post #9

Was Cython given a consideration for this project? I see that you are involved with the Pythran project, so could you tell us the shortcomings of Cython? As I understand it, before Pythran didn't support Python 3, but seems like that has changed