lonlat_bng
Python-Complementary-Languages
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| lonlat_bng | Python-Complementary-Languages | |
|---|---|---|
| 1 | 8 | |
| 25 | 31 | |
| - | - | |
| 3.5 | 2.1 | |
| 10 months ago | 9 months ago | |
| Rust | Python | |
| MIT License | - |
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lonlat_bng
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Julia is the better language for extending Python
Rust doesn’t need to copy the data. It’s trivial to pass e.g. Numpy arrays to Rust as slices via Cython (let alone originating in Cython!), modify them, and return them, or use them as input for a new returned struct.
https://github.com/urschrei/simplification
https://github.com/urschrei/lonlat_bng
https://github.com/urschrei/pypolyline
Each of those repos has links to the corresponding Rust “shim” libraries that provide FFIs for dealing with the incoming data, constructing Rust data structures from it, and then transforming it back on the way out.
As a more general comment, using a GC language as the FFI target from a GC language is begging for difficult-if-not-impossible-to-debug crashes down the line.
Python-Complementary-Languages
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Julia is the better language for extending Python
Note that the OP is a Python user, not a Julia user. The Github profile is a bunch of Python packages and the Julia code wasn't even optimized (https://github.com/00sapo/cython_list_test/pull/5). If this test says anything, it at least would say that a inexperienced Python user could pick up Julia and do pretty well, even if the code they write isn't great.
Even if it doesn't say that, bashing people who use Julia for a repository made by a Python user is a new level of HN trolling.
- Julia is the best language to extend Python for scientific computing
What are some alternatives?
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
py2many - Transpiler of Python to many other languages
rust-s2 - S2 geometry library in Rust
julia - The Julia Programming Language
iminuit - Jupyter-friendly Python interface for C++ MINUIT2
pypolyline - Fast Google Polyline encoding and decoding using a Rust binary
shared_numpy - A simple library for creating shared memory numpy arrays
simplification - Very fast Python line simplification using either the RDP or Visvalingam-Whyatt algorithm implemented in Rust
JET.jl - An experimental code analyzer for Julia. No need for additional type annotations.
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
dpbench - Benchmark suite to evaluate Data Parallel Extensions for Python