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PyPy - Welcome to PyPy | pypy.org Reviews
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PyPy - Welcome to PyPy | pypy.org Reviews

https://pypy.org

PyPy

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doc.pypy.org doc.pypy.org

Welcome to PyPy’s documentation! — PyPy documentation

Downloading and Installing PyPy. Building PyPy from Source. Differences between PyPy and CPython. Writing extension modules for pypy. Garbage collector documentation and configuration. What PyPy can do for your objects. Getting Started Developing With PyPy. How to contribute to PyPy. You want to help with PyPy, now what? Goals and Architecture Overview. Papers, talks and related projects. Old discussion notes needing categorization. Welcome to PyPy’s documentation! Welcome to PyPy’s documentation! Many o...

packages.pypy.org packages.pypy.org

PyPy - packages

PyPy's Python packages compatibility. Alternative implementation of the Python language. Nearly all Python packages install properly on PyPy. This page shows what happens when you use pip to install the 1000 most-downloaded package from pypi.python.org. This list is done automatically, however we can make manual overrides as well as add additional info and install additional packages. Issue a pull request. Or get in touch using email. PyPy 5.4.1 bugfix release. Item[0] } downloads: { item[1].count }.

buildbot.pypy.org buildbot.pypy.org

Buildbot

Welcome to the Buildbot for the PyPy. Will give you an overview of performance for recent revisions. The Summary Display default. Will give you a failure-oriented summary for recent revisions ( default only). Will give you a failure-oriented summary for recent revisions (all branches). Page contains precompiled PyPy binaries. Will give you a time-oriented summary of recent buildbot activity. Waterfall Help. Will give you a developer-oriented summary of recent buildbot activity. The Transposed Grid Display.

speed.pypy.org speed.pypy.org

PyPy's Speed Center

Track performance changes in the latest revisions. Analyze performance over time. Compare different executables and revisions. How fast is PyPy? Plot 1: The above plot represents PyPy trunk (with JIT) benchmark times normalized to CPython. Smaller is better. It depends greatly on the type of task being performed. The geometric average of all benchmarks is. How has PyPy performance evolved over time? Plot 2: Speedup compared to CPython, using the inverse of the geometric average of normalized times, out of.

INTERNAL PAGES

pypy.org pypy.org
1

PyPy - Call for donations - PyPy to support Numpy!

http://www.pypy.org/numpydonate.html

Call for donations - PyPy to support Numpy! We have closed this campaign. We have achieved most of the goals of the orignal work plan while raising most of the funds. Work will continue to make Numpy and the rest of the numeric stack more usable on PyPy. On our blog for updates. There is also an automatically generated. Showing what parts of NumPy are already usable. This is a proposal to provide a fully compatible working NumPy. We already had some success providing a very basic NumPy implementation.

2

PyPy - 2nd Call for donations - Transactional Memory in PyPy

http://www.pypy.org/tmdonate2.html

2nd Call for donations - Transactional Memory in PyPy. What is the Global Interpreter Lock? What is Transactional Memory? Hardware vs Software Transactional Memory. Why do TM with PyPy instead of CPython? Platforms other than the x86-64 Linux. Work plan and funding details. Benefits of This Work to the Python Community and the General Public. This is the second call for donations on the topic of Transactional Memory (. The present proposal is about development of the second half: first, fixing the variou...

3

PyPy - What is PyPy?

http://www.pypy.org/features.html

PyPy is a replacement for CPython. It is built using the RPython language that was co-developed with it. The main reason to use it instead of CPython is speed: it runs generally faster (see next section). Implements Python 2.7.10. The following CPU architectures are supported and maintained:. Platforms (ARMv6 or ARMv7, with VFPv3). 64bit both little and big endian. If you are interested in helping to move forward, see our howtohelp. We also have a beta release of PyPy3. The main features of PyPy:. If all...

4

PyPy - Performance

http://www.pypy.org/performance.html

Insider's point of view. This document collects strategies, tactics and tricks for making your code run faster under PyPy. Many of these are also useful hints for stock Python and other languages. For contrast, we also describe some CPython (stock Python) optimizations that are not needed in PyPy. As a general rule, when considering performance issues, follow these three points: first. Them (it is counter-productive to fight imaginary performance issues); then. PyPy 2.6 introduced vmprof. Measuring will ...

5

PyPy - Download and install

http://www.pypy.org/download.html

There are nightly binary builds. Available. Those builds are not always as stable as the release, but they contain numerous bugfixes and performance improvements. We provide binaries for x86, ARM, and PPC Linux, Mac OS/X and Windows for:. The Python2.7 compatible release PyPy2.7 v5.3.1. What's new in PyPy2.7? And release note for PyPy2.7-v5.3.1. The Python3.3 compatible release PyPy3.3 v5.2-alpha. What's new in PyPy3.3? The Python2.7 Software Transactional Memory special release PyPy-STM 2.5.1. Linux x86...

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Buildbot

http://buildbot.pypy.org/grid

88171:04a936. in rpython-error-to-systemerror. 26e09b343fc3. in rpython-error-to-systemerror. 26e09b343fc3. in release-pypy2.7-5.x. 26e09b343fc3. in default. 6d9711ba03d9 in py3.5. Offline, plus 71). Offline, plus 103). Offline, plus 71). Idle, plus 1). Offline, plus 71). Offline, plus 75). Building, plus 1). Building, plus 1). 088) working for the PyPy. Page built: Tue 08 Nov 2016 07:09:49.

newdatascientist.blogspot.com newdatascientist.blogspot.com

The Aspirational Data Scientist: Programming Languages for Big Data

http://newdatascientist.blogspot.com/2014/07/programming-languages-for-big-data.html

How a Social Scientist Jumps into the World of Big Data. Becoming a data scientist. Sunday, July 6, 2014. Programming Languages for Big Data. Therefore, I find a new study comparing the speeds of various languages for a statistical problem. Nonetheless, the differences in run time are so large that it's not unreasonable to draw some conclusions. Even when compiled, R takes 240 to 340. Times as long to run as C . How about Python and MATLAB? C, C , or Fortran subroutines called by MATLAB). (Octave has...

python-para-impacientes.blogspot.com python-para-impacientes.blogspot.com

Python 3 para impacientes: Threading: programación con hilos (y II)

http://python-para-impacientes.blogspot.com/2016/12/threading-programacion-con-hilos-y-ii.html

Python 3 para impacientes. Simple es mejor que complejo" (Tim Peters). Viernes, 30 de diciembre de 2016. Threading: programación con hilos (y II). Es un tipo de hilo especial que permite ajustar el comienzo de su ejecución con un tiempo de espera. Además, mientras transcurre este tiempo de espera es posible cancelar su ejecución. Un temporizador es un objeto de la subclase Timer. Que deriva de la clase Thread. Y como sucede con sus ancestros admite el paso de argumentos:. Por otro lado, el método wait().

excess.org excess.org

Unfortunate Python - excess.org

http://excess.org/article/2011/12/unfortunate-python

Contributing to Open Source. IASA E-Summit, 2014-05-16. Python 3, the Argument Sketch. Moving to Python 3. Alternatives to SQL Databases. Audio Streaming over Bluetooth. MARS and Cell processor. Printing with Debian and Windows Mini-HOWTO. First name at this domain. On OFTC, freenode and github. Posted on 2011-12-19, last modified 2012-04-09. Python is a wonderful language, but some parts should really have bright WARNING. This is a rough transcript of the talk I gave at my local Python group. Explicitly...

blog-tw.python.org blog-tw.python.org

Python 核心開發的新聞資訊: 六月 2011

http://blog-tw.python.org/2011_06_01_archive.html

Python 3.3 將停止支援 OS/2, Windows 2000 以及 VMS. 原文網址: Python 3.3 to Drop Support for OS/2, Windows 2000, and VMS. 每隔一段時間, 我們會依據使用的狀況來縮減支援作業系統列表. 除此之外, 由於必須有人可以完成開發的工作來保證產生品質良好的發行版本, 平台上有足夠的開發人員數量也是一個很重要的考量. 像是作業系統的年紀, 以及作業系統的開發是否有遭遇到阻礙等等的其他因素, 也將會是考量的一部分. 最近在他提出了對 OS/2 支援的 最初問題. 的一年之後, 提議 CPython 停止支援 OS/2 和 VMS. Victor 的詢問來自他似乎不停的花力氣在處理 Unicode 的問題上面, 尤其是 os.execvpe(). 中的 surrogateescape handler 來支援環境變數的問題. OS/2 和 VMS 目前沒有開發團隊的代表人, 而且在發行的過程當中也沒有收到任何測試. 了從前關於移除支援 Windows 2000 的 討論. 不過之前的討論似乎被擱置了. 在當時, 將.

blog-tw.python.org blog-tw.python.org

Python 核心開發的新聞資訊: 八月 2011

http://blog-tw.python.org/2011_08_01_archive.html

原文網址 Meet the Team: Benjamin Peterson. 這篇文章是「認識核心團隊」系列文章的一部分,目的是對 Python 核心開發團隊的成員來個簡短的介紹. 美國明尼蘇達州 (Minnesota, USA). Http:/ pybites.blogspot.com. 你使用 Python 有多長時間了? 12290;幸運的是,我繼續堅持了下去並且也有些 patch 被接受了。我想我第一份提交是調整 Misc/ACKS 檔案的順序。 我喜歡語法分析器、編譯器以及直譯器的核心部分,不過大家都知道除了Windows 相關之外,我涉足於幾乎每一個 Python 的核心開發部分。 當你沒有在處理 Python 核心開發相關工作的時候,你都用 Python 來做些什麼? 我用它來實作 Python 直譯器 ( http:/ pypy.org. 65281;說真的,我打從心裡就是一個 Python 的實作者。 我是 six ( http:/ pypi.python.org/pypi/six. 做音樂,吹豎笛還有讀些數學書,另外有時也會跑去爬山。 張貼者: Ke-Ren Dai. 模組的作者 )...

daybed.readthedocs.io daybed.readthedocs.io

Installing Daybed — Daybed 1 documentation

http://daybed.readthedocs.io/en/latest/install.html

Installation on *nix systems. Build the image from sources. How to use the Daybed API. Get back a definition. Get back the model permissions. Daybed has the following requirements:. 26, 27, 3.x or PyPy. Daybed comes with a Makefile to simplify your life when developing. To install daybed in your current virtualenv and get started, just run:. Then, running the test suite is a good way to check that everything is going well, and is correctly installed. You can run them with:. Installation on *nix systems.

dailycrash.blogspot.com dailycrash.blogspot.com

Daily Crash: June 2013

http://dailycrash.blogspot.com/2013_06_01_archive.html

We've all felt that way sometimes:. System hangs, no traces. Oeh, I hate those. Today it happened again. I just wish I had some evidence, some clues about what went wrong. The system log shows nothing special:. Nothing to be investigated. I'll turn on the kernel core dumps. And hope I can find some proof there, next time. Create a USB Boot disk for MAC. Why do you need a bootable USB drive. How to do it in 3 easy steps. The easiest way is to press Cmd Space, then type "Terminal" and press "Enter". You've...

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PyPy - Welcome to PyPy

PyPy is a fast. Alternative implementation of the Python. Language (2.7.9 and 3.2.5). It has several advantages and distinct features:. Thanks to its Just-in-Time compiler, Python programs often run faster. On PyPy. (What is a JIT compiler? Ldquo;If you want your code to run faster, you should probably just use PyPy.” — Guido van Rossum (creator of Python). Memory-hungry Python programs (several hundreds of MBs or more) might end up taking less space. Than they do in CPython. PyPy is highly compatible.

pypy.readthedocs.io pypy.readthedocs.io

Welcome to PyPy’s documentation! — PyPy documentation

Downloading and Installing PyPy. Building PyPy from Source. Differences between PyPy and CPython. Writing extension modules for pypy. What PyPy can do for your objects. PyPy’s sandboxing features. Getting Started Developing With PyPy. How to contribute to PyPy. You want to help with PyPy, now what? Goals and Architecture Overview. PyPy’s Configuration Handling. PyPy’s Release Process. Papers, talks and related projects. Old discussion notes needing categorization. Welcome to PyPy’s documentation! Many of...

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