pypy

Is it possible to run Scrapy on PyPy ? I've looked through the documentation and the github project, but the only place where PyPy is mentioned is that there were some unit tests being executed on PyPy 2 years ago, see PyPy support . There is also Scrapy fails in PyPy long discussion happened 3 years ago without a concrete resolution or a follow-up. From what I understand, the main Scrapy's dependency Twisted is known to work on PyPy . Scrapy also uses lxml for HTML parsing, which has a PyPy -friendly fork . The other dependency, pyOpenSSL is fully supported (thanks to @Glyph's comment). Yes.

I installed PyPy while still having Python 2.7 on my system. How do I install and then use easy_install with PyPy? What is the syntax for distinguishing where I want to install to with easy_install ? Should I set any environment variables for ease of use? I'm on Windows, but these questions seem relevant for all platform... Julien Chappuis You need to install easy_install for pypy manually. It's explained in the answer to this question : Installing Python eggs under PyPy An alternative solution is to install pip. Following the instructions in pip's documentation : wget https://bootstrap.pypa

I've been testing a cacheing system of my making. Its purpose is to speed up a Django web application. It stores everything in-memory. According to cProfile most of the time in my tests is spent inside QuerySet._clone() which turns out to be terribly inefficient (it's actually not that strange given the implementation). I was having high hopes for using PyPy to speed things up. I've got a 64-bit machine. However after installing all the required libraries it turns out that PyPy compiled code runs about 2.5x slower than regular Python code, and I don't know what to make out of it. The code is

I am trying to optimize a Reed-Solomon encoder, which is in fact simply a polynomial division operation over Galois Fields 2^8 (which simply means that values wrap-around over 255). The code is in fact very very similar to what can be found here for Go: http://research.swtch.com/field The algorithm for polynomial division used here is a synthetic division (also called Horner's method). I tried everything: numpy, pypy, cython. The best performance I get is by using pypy with this simple nested loop: def rsenc(msg_in, nsym, gen): '''Reed-Solomon encoding using polynomial division, better

I have a Linux-64 bit machine. How do I install PyPy in my anaconda environment. I tried conda install pypy. It says there are no available packages. pip install pypy also returns a similar message. Is it that the only way to install PyPy is by downloading the tar.gz file from the website? Once installed, how do I configure my Anaconda environment in such a way so as to be able to switch from PyPy to other Python implementations when required? You can install PyPy3 from conda-forge : conda install -c conda-forge pypy3.6 And then use it like your regular python executable (notice that this is a

Is it possible to have a Listener server process and a Client process where one of them uses a python interpreter and the other a pypy interpreter? Would conn.send() and conn.recv() interoperate well? I tried it out to see: import sys from multiprocessing.connection import Listener, Client address = ('localhost', 6000) def client(): conn = Client(address, authkey='secret password') print conn.recv_bytes() conn.close() def server(): listener = Listener(address, authkey='secret password') conn = listener.accept() print 'connection accepted from', listener.last_accepted conn.send_bytes('hello')

I searched a little bit but I couldn't find a tuto to use PIL with PyPy. According to PyPy's blog, PIL is supported. I installed PIL with pip in my PYTHONPATH. After the download, pip make 2 .pyd files: _imaging.pyd and _imagingmath.pyd. After the install, I copied %PYTHONPATH%/lib/site-packages/PIL to my PyPy site-packages directory. When I run my script (which uses PIL), it says it can't import the _imaging C module. How should I do it ? edit: I run this on Windows 7 x64 (python 2.7.1 32bits) here is the traceback (pypy 1.4.1 windows binary): Traceback (most recent call last): File "app_main