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- How to solve the two language problem https://scientificcoder.com/how-to-solve-the-two-language-problem 3 comments
Linking pages
Linked pages
- Why We Created Julia https://julialang.org/blog/2012/02/why-we-created-julia 537 comments
- The Julia Programming Language https://julialang.org/ 404 comments
- GitHub - python/cpython: The Python programming language https://github.com/python/cpython 385 comments
- GitHub - exaloop/codon: A high-performance, zero-overhead, extensible Python compiler using LLVM https://github.com/exaloop/codon 238 comments
- JAX Quickstart — JAX documentation https://jax.readthedocs.io/en/latest/notebooks/quickstart.html 143 comments
- https://viralinstruction.com/posts/hardware/ 127 comments
- MATLABâPythonâJulia cheatsheet — Cheatsheets by QuantEcon documentation https://cheatsheets.quantecon.org/ 93 comments
- Clang C Language Family Frontend for LLVM http://clang.llvm.org/index.html 70 comments
- Numba: A High Performance Python Compiler https://numba.pydata.org/ 67 comments
- Why Numba and Cython are not substitutes for Julia - Stochastic Lifestyle http://www.stochasticlifestyle.com/why-numba-and-cython-are-not-substitutes-for-julia/ 41 comments
- Python 3.14 Will be Faster than C++ | by Dennis Bakhuis | Sep, 2022 | Towards Data Science https://towardsdatascience.com/python-3-14-will-be-faster-than-c-a97edd01d65d 37 comments
- GitHub - modularml/mojo: The Mojo Programming Language https://github.com/modularml/mojo 15 comments
- Performance Tips · The Julia Language https://docs.julialang.org/en/v1/manual/performance-tips/ 12 comments
- Modular Docs - Why Mojo🔥 https://docs.modular.com/mojo/why-mojo.html 11 comments
- How Python was Shaped by leaky Internals, Armin Ronacher, Flask framework - YouTube https://www.youtube.com/watch?v=qCGofLIzX6g 3 comments
- PyPy - Features | PyPy https://pypy.org/features.html 3 comments
- GitHub - JuliaPy/PyCall.jl: Package to call Python functions from the Julia language https://github.com/JuliaPy/PyCall.jl 0 comments
- GitHub - brenhinkeller/StaticTools.jl: Enabling StaticCompiler.jl-based compilation of (some) Julia code to standalone native binaries by avoiding GC allocations and llvmcall-ing all the things! https://github.com/brenhinkeller/StaticTools.jl 0 comments
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