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Python is a very poor choice for such a tool. Julia should have been used

randrus 2y ago
In case this is relevant to your reasons for posting … every time I see one of the fact free posts the slam Python to promote Julia it pushes me further from considering Julia for anything.
- xiaodai 2y ago
  I am sorry. I am autistic.
- __MatrixMan__ 2y ago
  I would be more likely to pick up Julia if comments like gp told me something interesting about the language.
  - bgoated01 2y ago
    The biggest thing that keeps me from using Julia rather than Python for math prototypes is that it uses one-based indexing. I go back and forth between these prototypes and my C++ codebase, and the mental gymnastics to switch from 0-based to 1-based makes Julia a non-starter for me. I prefer Julia over Python other than that one issue, and the lower availability of tutorials, etc. for Julia.
    - lupire 2y ago
      Index all your arrays with from_offset(n) def from_offset(n: int): return n+1 Well-typed (or sightly-better-typed) programming ftw.
- bbor 2y ago
  Obviously the comment above is far from helpful in tone or content, but this spurred me to look it up. As a python guy, my takeaways are: 1. It’s designed by mathematicians specifically for math. 2. It has much better support for generic/runtime types, something the academics apparently describe using the terms “parametric polymorphism” and “multi-dispatch”. Plus there’s this cute founding ethos blog post from 2012, though it’s necessarily vague: https://julialang.org/blog/2012/02/why-we-created-julia/ https://julialang.org/blog/2012/02/why-we-created-julia/ None of that sounds even close to convincing me to switch from Python, but I can see the appeal for people who value those typing features and want something faster. I don’t necessarily see the connection between either of those things and the implementation above, tho… presumably it’s basically instant, anyway?
jazzyjackson 2y ago
So post a link about making cool hyperbolic SVG with Julia

In case this is relevant to your reasons for posting … every time I see one of the fact free posts the slam Python to promote Julia it pushes me further from considering Julia for anything.

xiaodai 2y ago
I am sorry. I am autistic.
__MatrixMan__ 2y ago
I would be more likely to pick up Julia if comments like gp told me something interesting about the language.
- bgoated01 2y ago
  The biggest thing that keeps me from using Julia rather than Python for math prototypes is that it uses one-based indexing. I go back and forth between these prototypes and my C++ codebase, and the mental gymnastics to switch from 0-based to 1-based makes Julia a non-starter for me. I prefer Julia over Python other than that one issue, and the lower availability of tutorials, etc. for Julia.
  - lupire 2y ago
    Index all your arrays with from_offset(n) def from_offset(n: int): return n+1 Well-typed (or sightly-better-typed) programming ftw.
bbor 2y ago
Obviously the comment above is far from helpful in tone or content, but this spurred me to look it up. As a python guy, my takeaways are: 1. It’s designed by mathematicians specifically for math. 2. It has much better support for generic/runtime types, something the academics apparently describe using the terms “parametric polymorphism” and “multi-dispatch”. Plus there’s this cute founding ethos blog post from 2012, though it’s necessarily vague: https://julialang.org/blog/2012/02/why-we-created-julia/ https://julialang.org/blog/2012/02/why-we-created-julia/ None of that sounds even close to convincing me to switch from Python, but I can see the appeal for people who value those typing features and want something faster. I don’t necessarily see the connection between either of those things and the implementation above, tho… presumably it’s basically instant, anyway?

jazzyjackson 2y ago

So post a link about making cool hyperbolic SVG with Julia