René's URL Explorer Experiment


Title: No title

Open Graph Title: LPython

X Title: LPython

Description: Feature Highlights LPython is in heavy development, there are features that work today, and there are features that are being implemented. Works today Best possible performance for numerical, array-oriented code LPython gives you the speed you need for your numerical, array-oriented code. With LPython, you can write Python code that is as fast as C or C++. This is because LPython compiles your code to optimized machine code, which is the fastest way to run code on a computer.

Open Graph Description: Feature Highlights LPython is in heavy development, there are features that work today, and there are features that are being implemented. Works today Best possible performance for numerical, array-oriented code LPython gives you the speed you need for your numerical, array-oriented code. With LPython, you can write Python code that is as fast as C or C++. This is because LPython compiles your code to optimized machine code, which is the fastest way to run code on a computer.

X Description: Feature Highlights LPython is in heavy development, there are features that work today, and there are features that are being implemented. Works today Best possible performance for numerical, …

Opengraph URL: https://lpython.org/

Generator: Hugo 0.110.0

direct link

Domain: lpython.org


Hey, it has json ld scripts:
{
    "@context": "http://schema.org",
    "@type": "WebSite",
    "name": "LPython",
    
    "url": "https:\/\/lpython.org\/"
}
{
  "@context": "http://schema.org",
  "@type": "Organization",
  "name": "",
  "url": "https:\/\/lpython.org\/"
  
  
  
  
}

NoneIE=edge
og:typewebsite
og:site_nameLPython
twitter:cardsummary_large_image

Links:

LPythonhttps://lpython.org/
Downloadhttps://lpython.org/download/
Bloghttps://lpython.org/blog/
LPython: Novel, Fast, Retargetable Python Compilerhttps://lpython.org/blog/2023/07/lpython-novel-fast-retargetable-python-compiler/
https://github.com/lcompilers/lpythonhttps://github.com/lcompilers/lpython
Starhttps://github.com/lcompilers/lpython
https://dev.lpython.org/https://dev.lpython.org/
https://lfortran.zulipchat.com/#narrow/stream/311866-LPython
Designhttps://docs.lfortran.org/design/
Developer Tutorialhttps://docs.lfortran.org/developer_tutorial/
issue trackerhttps://github.com/lcompilers/lpython/issues
PyTorchhttps://github.com/pytorch/pytorch
Pystonhttps://github.com/pyston/pyston
mypychttps://github.com/mypyc/mypyc
JAXhttps://github.com/google/jax
MicroPythonhttps://github.com/micropython/micropython
Cythonhttps://github.com/cython/cython
Numbahttps://github.com/numba/numba
CuPyhttps://github.com/cupy/cupy
Taichihttps://github.com/taichi-dev/taichi
PyPyhttps://www.pypy.org/
Tritonhttps://github.com/openai/triton
Nuitkahttps://github.com/Nuitka/Nuitka
Brythonhttps://github.com/brython-dev/brython
Skulpthttps://github.com/skulpt/skulpt
Pythranhttps://github.com/serge-sans-paille/pythran
DaCehttps://github.com/spcl/dace
LPythonhttps://github.com/lcompilers/lpython
Weldhttps://github.com/weld-project/weld
IronPythonhttps://github.com/IronLanguages/ironpython3
Transcrypthttps://github.com/TranscryptOrg/transcrypt
Pyccelhttps://github.com/pyccel/pyccel
Pyjshttps://github.com/pyjs/pyjs
Grumpyhttps://github.com/google/grumpy
Mojohttps://github.com/modularml/mojo
uarrayhttps://github.com/Quansight-Labs/uarray
Shedskinhttps://github.com/shedskin/shedskin
Jythonhttps://github.com/jython/jython
Codonhttps://github.com/exaloop/codon
Compylehttps://github.com/pypr/compyle
Seqhttps://github.com/seq-lang/seq
Hopehttps://github.com/jakeret/hope
Transonichttps://github.com/fluiddyn/transonic
LPythonhttps://lpython.org/

Viewport: width=device-width, initial-scale=1.0, maximum-scale=1.0


URLs of crawlers that visited me.