PyPyjs is an experiment in building a fast and compliant python environment for the web. It uses the PyPy. Python interpreter, compiled for the web via emscripten. With a custom JIT backend that emits asm.js. Try it out below, or see the links above for benchmarks and download information.
http://www.pypyjs.org/
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PyPy.js | pypyjs.org Reviews
https://pypyjs.org
PyPyjs is an experiment in building a fast and compliant python environment for the web. It uses the PyPy. Python interpreter, compiled for the web via emscripten. With a custom JIT backend that emits asm.js. Try it out below, or see the links above for benchmarks and download information.
pypyjs.org
PyPy.js - editor
http://pypyjs.org/editor.html
Print for i in range(50): print i, print " n" import sys print "sys.version:", sys.version print "sys.platform:", sys.platform.
PyPy.js
http://pypyjs.org/index.html
PyPyjs is an experiment in building a fast and compliant python environment for the web. It uses the PyPy. Python interpreter, compiled for the web via emscripten. With a custom JIT backend that emits asm.js. Try it out below, or see the links above for benchmarks and download information.
TOTAL PAGES IN THIS WEBSITE
2
Source-to-source compiler - Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Source-to-source_compiler
From Wikipedia, the free encyclopedia. Not to be confused with cross compiler. This article has multiple issues. Please help improve it. Or discuss these issues on the talk page. Learn how and when to remove these template messages. This article relies too much on references. Please improve this by adding secondary or tertiary sources. Learn how and when to remove this template message. This article may contain improper references to self-published sources. Please help improve it. Extract, transform, load.
Are we Python yet?
http://arewepythonyet.com/index.html
Are we Python yet? Performance on a selection of python benchmarks, normalized to that of a native python interpreter. Smaller numbers are better. Average performance across javascript engines and across python benchmarks is:. X times slower than cpython. Overhead involved in downloading the core interpreter files and loading them up into a running VM. Smaller numbers are better. Average performance across javascript engines and across js-bridge benchmarks is:. X times slower than native js.
An Experiment in Improving Compressiblity
http://rfk.id.au/blog/entry/cromulate-improve-compressibility
Code, opinions, etcetera. Thu, 17 Jul 2014. An Experiment in Improving Compressiblity. Alternate title: reduce your compressed file size with this one weird trick! One of the top items on my list for PyPy.js. Filesize without having to change the actual generated code. The obvious approach is to reach for a higher-performance compression algorithm, perhaps bzip2. So can we do better while staying within the confines of gzip? One example of such a technique is zopfli. The techniques underlying gzip. Are b...
Are we Python yet?
http://rfk.id.au/blog/entry/are-we-python-yet
Code, opinions, etcetera. Wed, 28 Jan 2015. Are we Python yet? While it was a lot of fun to see a web-based python interpreter beat my system python on a single carefully-tuned benchmark. That result obviously didn't say much about the usefulness of PyPy.js. For any real-world applications. I'm keen to find out whether the web can support dynamic language interpreters for general-purpose use in a way that's truly competitive with a native environment. Inspired by the PyPy speed center. Are we Python yet?
RFK | Blog
http://rfk.id.au/blog
Code, opinions, etcetera. Wed, 28 Jan 2015. Are we Python yet? While it was a lot of fun to see a web-based python interpreter beat my system python on a single carefully-tuned benchmark. That result obviously didn't say much about the usefulness of PyPy.js. For any real-world applications. I'm keen to find out whether the web can support dynamic language interpreters for general-purpose use in a way that's truly competitive with a native environment. Inspired by the PyPy speed center. Are we Python yet?
PyPy Status Blog: PyPy 2.6.0 release
https://morepypy.blogspot.com/2015/06/pypy-260-release.html
Monday, June 1, 2015. PyPy 2.6.0 release. PyPy 2.6.0 - Cameo Charm. We’re pleased to announce PyPy 2.6.0, only two months after PyPy 2.5.1. We are particulary happy to update cffi. To version 1.1, which makes the popular ctypes-alternative even easier to use, and to support the new vmprof. You can download the PyPy 2.6.0 release here:. Http:/ pypy.org/download.html. Thanks also to Yury V. Zaytsev and David Wilson who recently started running nightly builds on Windows and MacOSX buildbots. With making RPy...
PyPy Status Blog: June 2015
https://morepypy.blogspot.com/2015_06_01_archive.html
Wednesday, June 17, 2015. PyPy and ijson - a guest blog post. This gem was posted in the ijson issue tracker. After some discussion on #pypy, and Dav1dde kindly allowed us to repost it here:. So, I was playing around with parsing huge JSON files (19GiB, testfile is 520MiB) and wanted to try a sample code with PyPy, turns out, PyPy needed 1:30-2:00 whereas CPython 2.7 needed 13 seconds (the pure python implementation on both pythons was equivalent at 8 minutes). So, I was playing around with parsing huge ...
Are we Python yet?
http://www.arewepythonyet.com/performance.html
Are we Python yet? Performance on a selection of python benchmarks, normalized to that of a native python interpreter. Smaller numbers are better. Average performance across python benchmarks is:. X times slower than cpython. Mean performance across all python benchmarks, normalized to that of a native python interpreter, over time. Smaller numbers are better. Performance on a single python benchmark, normalized to that of a native python interpreter, over time. Smaller numbers are better.
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PyPy.js
PyPyjs is an experiment in building a fast and compliant python environment for the web. It uses the PyPy. Python interpreter, compiled for the web via emscripten. With a custom JIT backend that emits asm.js. Try it out below, or see the links above for benchmarks and download information.
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pypykute - DeviantArt
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