StarWarsArrays.jl
py2many
StarWarsArrays.jl | py2many | |
---|---|---|
10 | 29 | |
122 | 599 | |
- | 1.5% | |
0.0 | 8.1 | |
almost 2 years ago | about 1 month ago | |
Julia | Python | |
GNU General Public License v3.0 or later | MIT License |
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StarWarsArrays.jl
- Star Wars Arrays
- It starts at 0 right?
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PyCharm is the worst IDE I have used. /s
I raise you https://github.com/giordano/StarWarsArrays.jl
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How do some of my coworkers still use ML
Why not Star Wars Indices (4,5,6,1,2,3,7,8,9...)? https://github.com/giordano/StarWarsArrays.jl
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Dealing with strings in Julia, patterns and anti-patterns
> The documentation disagrees about string indices not starting with 1 As priorly said, I'm speaking about strings, not `String` in particular. So, to write code which work for all AbstractString (which have basic string functions), you must not assume that the first indexing is 1, you can have degenerate cases such as : https://github.com/giordano/StarWarsArrays.jl (this is for vectors, but creating a similar type, for AbstractString isn't impossible) or just strings with an offset indexing.
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The counter-intuitive rise of Python in scientific computing
There are other choices like https://github.com/simonster/TwoBasedIndexing.jl and https://github.com/giordano/StarWarsArrays.jl if you do not like 1-based indexing.
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PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)
This is a total non issue as indexing is an operation that is subject to multiple dispatch. For a humorous example see https://github.com/giordano/StarWarsArrays.jl
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Arrays start from bony[1]
The cool thing with Julia is that array indices aren't inherent properties, and may be changed locally by using appropriate wrappers. This means that the same underlying array may start at 0 in one part of the code, at 1 in another, and perhaps use the star-wars indexing in yet another section if that's necessary.
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Why does Julia adopt 1-based index?
Adding https://github.com/giordano/StarWarsArrays.jl to the list for some extra spice
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some may hate it, some may love it
You should also check out https://github.com/giordano/StarWarsArrays.jl and https://github.com/giordano/RandomBasedArrays.jl
py2many
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Transpiler, a Meaningless Word
> Another problem is that there are hundreds of built-in library functions that need to be compiled from Python from C
An approach I've advocated as one of the main authors of py2many is that all of the python builtin functions be written in a subset of python[1] and then compiled into native code. This has the benefit of avoiding GIL, problems with C-API among other things.
Do checkout the examples here[2] which work out of the box for many of the 8-9 supported backends.
[1] https://github.com/py2many/py2many/blob/main/doc/langspec.md
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py2many VS kithon - a user suggested alternative
2 projects | 17 Jun 2023
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Why I'm still using Python
https://github.com/py2many/py2many/blob/main/doc/langspec.md
Reimplement a large enough, commonly used subset of python stdlib using this dialect and we may be in the business of writing cross platform apps (perhaps start with android and Ubuntu/Gnome)
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Codon: A high-performance Python compiler
For py2many, there is an informal specification here:
https://github.com/py2many/py2many/blob/main/doc/langspec.md
Would be great if all the authors of "python-like" languages get together and come up with a couple of specs.
I say a couple, because there are ones that support the python runtime (such as cython) and the ones which don't (like py2many).
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A Python-compatible statically typed language erg-lang/erg
It'd not fully solve your issue, but have you ever seen https://github.com/py2many/py2many ?
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Omyyyy/pycom: A Python compiler, down to native code, using C++
Cython doesn't consume python3 type hints and needs special type hints of its own. But it's certainly more mature than other players in the field.
What we need is a rpython suitable for app programming and a stdlib written in that dialect.
https://github.com/py2many/py2many/blob/main/doc/langspec.md
- I made a Python compiler, that can compile Python source down to fast, standalone executables.
- PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)
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Show HN: prometeo – a Python-to-C transpiler for high-performance computing
No intermediate AST. To understand the various stages of transpilation and separation of language specific and independent rewriters, this file is a good starting point:
https://github.com/adsharma/py2many/blob/main/py2many/cli.py...
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Implicit Overflow Considered Harmful (and how to fix it)
Link to the test that's relevant for this discussion:
https://github.com/adsharma/py2many/blob/main/tests/cases/in...
This is an explicit deviation from python's bigint, which doesn't map very well to systemsey languages. The next logical step is to build on this to have dependent and refinement types.
Work in progress here:
https://github.com/adsharma/Typpete
What are some alternatives?
OffsetArrays.jl - Fortran-like arrays with arbitrary, zero or negative starting indices.
pybind11 - Seamless operability between C++11 and Python
TailRec.jl - A tail recursion optimization macro for julia.
PyO3 - Rust bindings for the Python interpreter
TwoBasedIndexing.jl - Two-based indexing
PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
Cython - The most widely used Python to C compiler
PyCall.jl - Package to call Python functions from the Julia language
wenyan - 文言文編程語言 A programming language for the ancient Chinese.
julia - The Julia Programming Language
BinaryBuilder.jl - Binary Dependency Builder for Julia
rust-numpy - PyO3-based Rust bindings of the NumPy C-API