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• PyPy: What is all the buzz about?

  - by sub

  Note: The title is provocating (to make you click on it and want to close-vote the question) and I don't want to look preoccupated. Since some time now I read and heard more and more about PyPy. It's like a linear graph. Why is PyPy so special? As far as I know implementations of dynamic languages written in the languages itself aren't such a rare thing, or am I not getting something? Some even people call PyPy "the future" [of python], or see some sort of deep potential in this implementation. What exactly is the meaning of this?

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• Introducing the PyPy 1.2 release

  <b>PyPy Status Blog:</b> "We are pleased to announce PyPy's 1.2 release. This version 1.2 is a major milestone and it is the first release to ship a Just-in-Time compiler that is known to be faster than CPython"

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• PyPy 1.2 Released

  PyPy is a reimplementation of Python in Python, using advanced techniques to try to attain better performance than CPython . Many years of hard work have finally paid...

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• PyPy -- How can it possible beat CPython?

  - by Vulcan Eager

  From the Google Open Source Blog: PyPy is a reimplementation of Python in Python, using advanced techniques to try to attain better performance than CPython. Many years of hard work have finally paid off. Our speed results often beat CPython, ranging from being slightly slower, to speedups of up to 2x on real application code, to speedups of up to 10x on small benchmarks. How is this possible? Which Python implementation was used to implement PyPy? CPython? And what are the chances of a PyPyPy or PyPyPyPy beating their score? (On a related note... why would anyone try something like this?)

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• PyPy -- How can it possibly beat CPython?

  - by Vulcan Eager

  From the Google Open Source Blog: PyPy is a reimplementation of Python in Python, using advanced techniques to try to attain better performance than CPython. Many years of hard work have finally paid off. Our speed results often beat CPython, ranging from being slightly slower, to speedups of up to 2x on real application code, to speedups of up to 10x on small benchmarks. How is this possible? Which Python implementation was used to implement PyPy? CPython? And what are the chances of a PyPyPy or PyPyPyPy beating their score? (On a related note... why would anyone try something like this?)

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• Eventlet or gevent or Stackless + Twisted, Pylons, Django and SQL Alchemy

  - by Khorkrak

  We're using Twisted extensively for apps requiring a great deal of asynchronous io. There are some cases where stuff is cpu bound instead and for that we spawn a pool of processes to do the work and have a system for managing these across multiple servers as well - all done in Twisted. Works great. The problem is that it's hard to bring new team members up to speed. Writing asynchronous code in Twisted requires a near vertical learning curve. It's as if humans just don't think that way naturally. We're considering a mixed approach perhaps. Maybe do the xmlrpc server part and process management in Twisted still but the other stuff in code that at least looks synchronous while not being as such. Then again I like explicit over implicit so hmmm. Anyway onto greenlets - how well does that stuff work? So there's Stackless and as you can see from my Gallentean avatar I'm well aware of the tremendous success in it's use for CCP's flagship EVE Online game first hand. What about Eventlet or gevent? Well for now only Eventlet works with Twisted. However gevent claims to be faster since it's not a pure python implementation it instead uses libevent. It also has fewer idiosyncrasies and defects supposedly. The documentation there is minimal in comparison to Eventlet and it's maintained by 1 guy as far as I can tell. This makes me leery but all great projects start this way so... Then there's PyPy - I haven't even finished reading about that one yet - just saw it in this thread: Drawbacks of Stackless. So confusing - I'm wondering what the heck to do - sounds like Eventlet is probably the best bet but is it really stable enough? Anyone out there have any experience with it? Should we go with Stackless instead as it's been around and is proven technology - just like Twisted is as well - and they do work together nicely. But still I hate having to have a separate version of Python to do this. what to do.... This somewhat obnoxious blog entry hit the nail on the head for me though: Asynchronous IO for Grownups We're stuck using MySQL as well - I never knew how great PostgreSQL was until having had to work on a production OLTP system in MySQL instead - but that's another story. But if that monkey patch thing really works then wow. Just wow.

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• How to split up a long list using \n

  - by pypy

  Here is a long string that I convert to a list so I can manipulate it, and then join it back together. I am having some trouble being able to have an iterator go through the list and when the iterator reach, let us say every 5th object, it should insert a '\n' right there. Here is an example: string = "Hello my name is Josh I like pizza and python I need this string to be really really long" string = string.split() # do the magic here string = ' '.join(string) print(string) Output: Hello my name is Josh I like pizza and python I need this string to be really really long Any idea how i can achieve this? I tried using: for words in string: if words % 5 == 0: string.append('\n') but it doesn't work. What am I missing?

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• What's the relationship between meta-circular interpreters, virtual machines and increased performance?

  - by Gomi

  I've read about meta-circular interpreters on the web (including SICP) and I've looked into the code of some implementations (such as PyPy and Narcissus). I've read quite a bit about two languages which made great use of metacircular evaluation, Lisp and Smalltalk. As far as I understood Lisp was the first self-hosting compiler and Smalltalk had the first "true" JIT implementation. One thing I've not fully understood is how can those interpreters/compilers achieve so good performance or, in other words, why is PyPy faster than CPython? Is it because of reflection? And also, my Smalltalk research led me to believe that there's a relationship between JIT, virtual machines and reflection. Virtual Machines such as the JVM and CLR allow a great deal of type introspection and I believe they make great use it in Just-in-Time (and AOT, I suppose?) compilation. But as far as I know, Virtual Machines are kind of like CPUs, in that they have a basic instruction set. Are Virtual Machines efficient because they include type and reference information, which would allow language-agnostic reflection? I ask this because many both interpreted and compiled languages are now using bytecode as a target (LLVM, Parrot, YARV, CPython) and traditional VMs like JVM and CLR have gained incredible boosts in performance. I've been told that it's about JIT, but as far as I know JIT is nothing new since Smalltalk and Sun's own Self have been doing it before Java. I don't remember VMs performing particularly well in the past, there weren't many non-academic ones outside of JVM and .NET and their performance was definitely not as good as it is now (I wish I could source this claim but I speak from personal experience). Then all of a sudden, in the late 2000s something changed and a lot of VMs started to pop up even for established languages, and with very good performance. Was something discovered about the JIT implementation that allowed pretty much every modern VM to skyrocket in performance? A paper or a book maybe?

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• How were some language communities (eg, Ruby and Python) able to prevent fragmentation while others (eg, Lisp or ML) were not?

  - by chrisaycock

  The term "Lisp" (or "Lisp-like") is an umbrella for lots of different languages, such as Common Lisp, Scheme, and Arc. There is similar fragmentation is other language communities, like in ML. However, Ruby and Python have both managed to avoid this fate, where innovation occurred more on the implementation (like PyPy or YARV) instead of making changes to the language itself. Did the Ruby and Python communities do something special to prevent language fragmentation?

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• Resources for Virtual Machine programming

  - by good_computer

  I am a beginner (a little more than that) programmer of C. I am really interested in the field of Virtual Machines. When I read about the Python VM, the PyPy project, the advancements in JVM technology, Google V8, the Erlang VM, I really get excited about these amazing pieces of technology, and really want to get my hands dirty building them or contributing to one of these projects. I need to know.. what are the things (language, concepts, algorithms, math, etc?) I need to know/learn to be able to build a virtual machine any books or other resources that will be helpful career prospects for a virtual machine engineer (but this is least important for me for now) (one more side question: somewhere I'd read something like JVM is on the cutting edge of virtual machine technology -- that it is the most advanced VM so far -- is that true?) Please give me a LONG answer detailing all that you know.

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• What's a good starting point to learn about JIT compilers?

  - by davidk01

  I've spent the past few months learning about stack based virtual machines, parsers, compilers, and some elementary things about hardware architecture. I've also written a few parsers and compilers for C like languages to understand the generic parser/compiler pipeline. Now I'd like to take my understanding further by learning about optimizing compilers and JIT compilers but I'm having a hard time finding material at the right level. I don't yet understand enough to dive into a code base like PyPy or LuaJIT but I also know more than what most introductory compiler books have to offer. So what are some good books for an intermediate beginner like to me to look into?

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• Languages with C/C++ output [closed]

  - by Vag

  Which languages have compilers able to emit plain standard C/C++ code? For a start: Haxe // uses Boehm GC Haskell (JHC) Haskell (old GHC) // -fvia-c, removed recently (emitted code is super ugly) Clay ATS Cython RPython (Shed Skin) // experimental RPython (PyPy) Python (Nuitka) // although author claims there are no speedups Common Lisp (ECL) COBOL (OpenCobol) Scheme (Chicken) APL // So far I've not found working implementation available for free download Ur/Web // GCC-specific output, and intended to be used only for web developments (included for completeness only) I'd like to build comprehensive up-to-date list but found only these ones so far. I've tested only Haxe and it works pretty well and quite fast. What about other ones? What is your expirience? How much ugly is generated code? Update. Any language chains (e.g. X - Scheme - C) will be perfectly OK as answer if its use is practical enough and suited for production use.

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• Python encoding ISO to UTF8

  - by PanosJee

  Hello everyone, I am trying to read my emails using a Python script (Python 2.5 and PyPy) Some of my results are not in ASCII and i get strings like this: =?ISO-8859-7?B?0OXm7/Dv8d/hIPP07+0gyuno4enx/u3h?=' Is there any way to decode it and convert to utf-8 so that i can process it? I tried .decode('ISO-8859-7') but i got the same string

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• Strengths and weaknesses of JIT compilers for Python

  - by Az

  Hi there, I'm currently aware of the following Python JIT compilers: Psyco, PyPy and Unladen Swallow. Basically, I'd like to ask for your personal experiences on the strengths and weaknesses of these compilers - and if there are any others worth looking into. Thanks in advance, Az

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• Why not have a High Level Language based OS? Are Low Level Languages more efficient?

  - by rtindru

  Without being presumptuous, I would like you to consider the possibility of this. Most OS today are based on pretty low level languages (mainly C/C++) Even the new ones such as Android uses JNI & underlying implementation is in C In fact, (this is a personal observation) many programs written in C run a lot faster than their high level counterparts (eg: Transmission (a bittorrent client on Ubuntu) is a whole lot faster than Vuze(Java) or Deluge(Python)). Even python compilers are written in C, although PyPy is an exception. So is there a particular reason for this? Why is it that all our so called "High Level Languages" with the great "OOP" concepts can't be used in making a solid OS? So I have 2 questions basically. Why are applications written in low level languages more efficient than their HLL counterparts? Do low level languages perform better for the simple reason that they are low level and are translated to machine code easier? Why do we not have a full fledged OS based entirely on a High Level Language?

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• fail2ban log parsing too slow on Raspberry Pi - options? [migrated]

  - by Gordon Morehouse

  I'm running fail2ban on a Raspberry Pi at 950MHz which I cannot overclock further. The Pi is occasionally subject to SYN floods on particular ports. I've set up iptables to throttle the rate of SYNs on the port of interest; when the throttle limits are exceeded, hosts which send SYNs are dropped into the REJECT chain and the particular SYN packet which exceeded the limit is logged. fail2ban then watches for these logged SYNs and, after seeing a few, temporarily bans the host for a short time (this is a transient issue in the app I'm working with). The problem is that the SYN floods can occasionally reach rates which are too fast for fail2ban to keep up with; I'll see 20-40 log messages per second, and eventually fail2ban falls behind and becomes ineffective. To add insult to injury, it continues consuming a LOT of CPU as it tries to catch up. I have verified that DROP chained packets from hosts already banned by fail2ban are not logged, and thus do not add to its load. What are my options here? I have a few ideas, but no clear path forward. Could I make the log-parse regex "easier" so it takes fewer cycles? Would using iptables --log-prefix to put a token near the start of the log message, and/or otherwise simplifying/altering the fail2ban regex help? Here is the current fail2ban config line containing a regex: failregex = kernel:.*?SRC=(?:::f{4,6}:)?(?P<host>[\w\-.^_]+) DST.*?SYN Is there a faster way for fail2ban to watch for the packets exceeding the limits than parsing kern.log? Could fail2ban be run under PyPy instead of CPython with minimal nonstandard wizardry (the OS is Raspbian 7, so, mostly Debian 7)? Is there something better than fail2ban that I could use to watch for the packets which exceed the SYN limits, and after N exceeds in X seconds, temporarily put the offending IP into the iptables DROP bucket, and take it out when the ban timer expires? Again, I'd vastly prefer a solution that uses as much software available in Debian as possible, though I can build Debian packages in a pinch.

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• Educational, well-written FOSS projects to read, study or discuss

  - by Godot

  Before you say it: yes, this "question" has been asked other times. However, I could not fine many of such questions and not that easily, and those I found had similar results. What I'm trying to say that there are no comprehensive lists of well written Open Source projects, so I decided to set some requirements for the entries (one or possibly more): Idiomatic use of the language in which they are written The project should be lightweight. Not as in "a few kbs", as in "clean" and possibly following the UNIX philosophy, making an efficient use of resources and performing its duty and nothing more. No code bloat, most importantly. Projects like Firefox and GNOME wouldn't qualify, for example. Minimal reliance on external, non-standard libraries, with exceptions for some common FOSS libraries (curses, Xlib, OpenGL and possibly "usual suspects" like gtk+, webkit and Boost). Reliance on well-written libraries is welcome. No reliance on proprietary software - for obvious reasons (programs that rely on XNA, DirectX, Cocoa and similar, for example). Well-documented code is welcome. Include link to web interfaces to their repositories if possible. Here are some sample projects that often pop up in these threads: Operating Systems Plan 9 from Bell Labs: More or less, the official "sequel" to UNIX. Written in C by the same people who invented C! NetBSD: The most portable BSD implementation, written in C and also a good example of portable and organized code. Network and Databases Sqlite: Extremely lightweight and extremely efficient, one of the best pieces of C software I've seen. Count the lines yourself! Lighttpd: A small but pretty reliable web server written in C. Programming languages and VMs Lua: extremely lightweight multi-paradigm programming language. Written in C. Tiny C Compiler: Really tiny C compiler. Not really comparable to GCC or Clang but does its job. PyPy: A Python implementation written in Python. Pharo: OK, I admit it, I'm not really a Smalltalk expert but Pharo is a fork of Squeak and looked rather interesting. Stackless Python - An implementation of Python that doesn't rely on the C call stack - written in C (with some parts in Python) Games and 3D: Angband: One of the most accessible roguelike codebases around here, written in C. Ogre3D: Cross-platform 3D engine. Gets bloated if you don't skip the platform-specific implementation code, otherwise is a pretty solid example of good C++ OO. Simon Tatham's Portable Puzzle Collection: Title says it all. Other - dwm: Lightweight window manager. Written in C. Emulation and Reverse Engineering - Bochs: x86 emulator, written in C++ and tiny enough. - MAME: If you want to see C at one of its lowest levels, MAME is for you. May not be as clean as the other projects but it can teach you A LOT. Before you ask: I didn't mention Linux because it has become quite bloated in the last few years, Linus has also confirmed it. Nonetheless, it'd be a great educational read the same, even if for other reasons. Same for GCC. Feel free to edit or wikify my post. I hope you won't lock my question, I'm only trying to organize a little community effort for the good of all those people who want to enhance their coding skills.

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• Opinions on Unladen Swallow?

  - by vartec

  What are your opinions and expectations on Google's Unladen Swallow? From their project plan: We want to make Python faster, but we also want to make it easy for large, well-established applications to switch to Unladen Swallow. Produce a version of Python at least 5x faster than CPython. Python application performance should be stable. Maintain source-level compatibility with CPython applications. Maintain source-level compatibility with CPython extension modules. We do not want to maintain a Python implementation forever; we view our work as a branch, not a fork. And even sweeter: In addition, we intend to remove the GIL and fix the state of multithreading in Python. We believe this is possible through the implementation of a more sophisticated GC It almost looks too good to be true, like the best of PyPy and Stackless combined. More info: Jesse Noller: "Pycon: Unladen-Swallow" ArsTechnica: "Google searches for holy grail of Python performance" Update: as DNS pointed out, there was related question: http://stackoverflow.com/questions/695370/what-is-llvm-and-how-is-replacing-python-vm-with-llvm-increasing-speeds-5x

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• How to compile Python scripts for use in FORTRAN?

  - by Vincent Poirier

  Hello, Although I found many answers and discussions about this question, I am unable to find a solution particular to my situation. Here it is: I have a main program written in FORTRAN. I have been given a set of python scripts that are very useful. My goal is to access these python scripts from my main FORTRAN program. Currently, I simply call the scripts from FORTRAN as such: CALL SYSTEM ('python pyexample.py') Data is read from .dat files and written to .dat files. This is how the python scripts and the main FORTRAN program communicate to each other. I am currently running my code on my local machine. I have python installed with numpy, scipy, etc. My problem: The code needs to run on a remote server. For strictly FORTRAN code, I compile the code locally and send the executable to the server where it waits in a queue. However, the server does not have python installed. The server is being used as a number crunching station between universities and industry. Installing python along with the necessary modules on the server is not an option. This means that my “CALL SYSTEM ('python pyexample.py')” strategy no longer works. Solution?: I found some information on a couple of things in thread http://stackoverflow.com/questions/138521/is-it-feasible-to-compile-python-to-machine-code Shedskin, Psyco, Cython, Pypy, Cpython API These “modules”(? Not sure if that's what to call them) seem to compile python script to C code or C++. Apparently not all python features can be translated to C. As well, some of these appear to be experimental. Is it possible to compile my python scripts with my FORTRAN code? There exists f2py which converts FORTRAN code to python, but it doesn't work the other way around. Any help would be greatly appreciated. Thank you for your time. Vincent PS: I'm using python 2.6 on Ubuntu

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• Unexpected performance curve from CPython merge sort

  - by vkazanov

  I have implemented a naive merge sorting algorithm in Python. Algorithm and test code is below: import time import random import matplotlib.pyplot as plt import math from collections import deque def sort(unsorted): if len(unsorted) <= 1: return unsorted to_merge = deque(deque([elem]) for elem in unsorted) while len(to_merge) > 1: left = to_merge.popleft() right = to_merge.popleft() to_merge.append(merge(left, right)) return to_merge.pop() def merge(left, right): result = deque() while left or right: if left and right: elem = left.popleft() if left[0] > right[0] else right.popleft() elif not left and right: elem = right.popleft() elif not right and left: elem = left.popleft() result.append(elem) return result LOOP_COUNT = 100 START_N = 1 END_N = 1000 def test(fun, test_data): start = time.clock() for _ in xrange(LOOP_COUNT): fun(test_data) return time.clock() - start def run_test(): timings, elem_nums = [], [] test_data = random.sample(xrange(100000), END_N) for i in xrange(START_N, END_N): loop_test_data = test_data[:i] elapsed = test(sort, loop_test_data) timings.append(elapsed) elem_nums.append(len(loop_test_data)) print "%f s --- %d elems" % (elapsed, len(loop_test_data)) plt.plot(elem_nums, timings) plt.show() run_test() As much as I can see everything is OK and I should get a nice N*logN curve as a result. But the picture differs a bit: Things I've tried to investigate the issue: PyPy. The curve is ok. Disabled the GC using the gc module. Wrong guess. Debug output showed that it doesn't even run until the end of the test. Memory profiling using meliae - nothing special or suspicious. ` I had another implementation (a recursive one using the same merge function), it acts the similar way. The more full test cycles I create - the more "jumps" there are in the curve. So how can this behaviour be explained and - hopefully - fixed? UPD: changed lists to collections.deque UPD2: added the full test code UPD3: I use Python 2.7.1 on a Ubuntu 11.04 OS, using a quad-core 2Hz notebook. I tried to turn of most of all other processes: the number of spikes went down but at least one of them was still there.

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• which package i should choose, if i want to install virtualenv for python?

  - by hugemeow

  pip search just returns so many matches, i am confused about which package i should choose to install .. should i only install virtualenv? or i'd better also install virtualenv-commands and virtualenv-commands, etc, but i really don't know exactly what virtualenv-commands is ... mirror0@lab:~$ pip search virtualenv virtualenvwrapper - Enhancements to virtualenv virtualenv - Virtual Python Environment builder veh - virtualenv for hg pyutilib.virtualenv - PyUtilib utility for building custom virtualenv bootstrap scripts. envbuilder - A package for automatic generation of virtualenvs virtstrap-core - A bootstrapping mechanism for virtualenv+pip and shell scripts tox - virtualenv-based automation of test activities virtualenvwrapper-win - Port of Doug Hellmann's virtualenvwrapper to Windows batch scripts everyapp.bootstrap - Enhanced virtualenv bootstrap script creation. orb - pip/virtualenv shell script wrapper monupco-virtualenv-python - monupco.com registration agent for stand-alone Python virtualenv applications virtualenvwrapper-powershell - Enhancements to virtualenv (for Windows). A clone of Doug Hellmann's virtualenvwrapper RVirtualEnv - relocatable python virtual environment virtualenv-clone - script to clone virtualenvs. virtualenvcontext - switch virtualenvs with a python context manager lessrb - Wrapper for ruby less so that it's in a virtualenv. carton - make self-extracting virtualenvs virtualenv5 - Virtual Python 3 Environment builder clever-alexis - Clever redhead girl that builds and packs Python project with Virtualenv into rpm, deb, etc. kforgeinstall - Virtualenv bootstrap script for KForge pypyenv - Install PyPy in virtualenv virtualenv-distribute - Virtual Python Environment builder virtualenvwrapper.project - virtualenvwrapper plugin to manage a project work directory virtualenv-commands - Additional commands for virtualenv. rjm.recipe.venv - zc.buildout recipe to turn the entire buildout tree into a virtualenv virtualenvwrapper.bitbucket - virtualenvwrapper plugin to manage a project work directory based on a BitBucket repository tg_bootstrap - Bootstrap a TurboGears app in a VirtualEnv django-env - Automaticly manages virtualenv for django project virtual-node - Install node.js into your virtualenv django-environment - A plugin for virtualenvwrapper that makes setting up and creating new Django environments easier. vip - vip is a simple library that makes your python aware of existing virtualenv underneath. virtualenvwrapper.django - virtualenvwrapper plugin to create a Django project work directory terrarium - Package and ship relocatable python virtualenvs venv_dependencies - Easy to install any dependencies in a virtualenviroment(without making symlinks by hand and etc...) virtualenv-sh - Convenient shell interface to virtualenv virtualenvwrapper.github - Plugin for virtualenvwrapper to automatically create projects based on github repositories. virtualenvwrapper.configvar - Plugin for virtualenvwrapper to automatically export config vars found in your project level .env file. virtualenvwrapper-emacs-desktop - virtualenvwrapper plugin to control emacs desktop mode bootstrapper - Bootstrap Python projects with virtualenv and pip. virtualenv3 - Obsolete fork of virtualenv isotoma.depends.zope2_13_8 - Running zope in a virtualenv virtual-less - Install lessc into your virtualenv virtualenvwrapper.tmpenv - Temporary virtualenvs are automatically deleted when deactivated isotoma.plone.heroku - Tooling for running Plone on heroku in a virtualenv gae-virtualenv - Using virtualenv with zipimport on Google App Engine pinvenv - VirtualEnv plugins for pin isotoma.depends.plone4_1 - Running plone in a virtualenv virtualenv-tools - A set of tools for virtualenv virtualenvwrapper.npm - Plugin for virtualenvwrapper to automatically encapsulate inside the virtual environment any npm installed globaly when the venv is activated d51.django.virtualenv.test_runner - Simple package for running isolated Django tests from within virtualenv difio-virtualenv-python - Difio registration agent for stand-alone Python virtualenv applications VirtualEnvManager - A package to manage various virtual environments. virtualenvwrapper.gem - Plugin for virtualenvwrapper to automatically encapsulate inside the virtual environment any gems installed when the venv is activated

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• Why does Python's math.factorial not play nice with threads?

  - by W1N9Zr0

  Why does math.factorial act so weird in a thread? Here is an example, it creates three threads: thread that just sleeps for a while thread that increments an int for a while thread that does math.factorial on a large number. It calls start on the threads, then join with a timeout The sleep and spin threads work as expected and return from start right away, and then sit in the join for the timeout. The factorial thread on the other hand does not return from start until it runs to the end! import sys from threading import Thread from time import sleep, time from math import factorial # Helper class that stores a start time to compare to class timed_thread(Thread): def __init__(self, time_start): Thread.__init__(self) self.time_start = time_start # Thread that just executes sleep() class sleep_thread(timed_thread): def run(self): sleep(15) print "st DONE:\t%f" % (time() - time_start) # Thread that increments a number for a while class spin_thread(timed_thread): def run(self): x = 1 while x < 120000000: x += 1 print "sp DONE:\t%f" % (time() - time_start) # Thread that calls math.factorial with a large number class factorial_thread(timed_thread): def run(self): factorial(50000) print "ft DONE:\t%f" % (time() - time_start) # the tests print print "sleep_thread test" time_start = time() st = sleep_thread(time_start) st.start() print "st.start:\t%f" % (time() - time_start) st.join(2) print "st.join:\t%f" % (time() - time_start) print "sleep alive:\t%r" % st.isAlive() print print "spin_thread test" time_start = time() sp = spin_thread(time_start) sp.start() print "sp.start:\t%f" % (time() - time_start) sp.join(2) print "sp.join:\t%f" % (time() - time_start) print "sp alive:\t%r" % sp.isAlive() print print "factorial_thread test" time_start = time() ft = factorial_thread(time_start) ft.start() print "ft.start:\t%f" % (time() - time_start) ft.join(2) print "ft.join:\t%f" % (time() - time_start) print "ft alive:\t%r" % ft.isAlive() And here is the output on Python 2.6.5 on CentOS x64: sleep_thread test st.start: 0.000675 st.join: 2.006963 sleep alive: True spin_thread test sp.start: 0.000595 sp.join: 2.010066 sp alive: True factorial_thread test ft DONE: 4.475453 ft.start: 4.475589 ft.join: 4.475615 ft alive: False st DONE: 10.994519 sp DONE: 12.054668 I've tried this on python 2.6.5 on CentOS x64, 2.7.2 on Windows x86 and the factorial thread does not return from start on either of them until the thread is done executing. I've also tried this with PyPy 1.8.0 on Windows x86, and there result is slightly different. The start does return immediately, but then the join doesn't time out! sleep_thread test st.start: 0.001000 st.join: 2.001000 sleep alive: True spin_thread test sp.start: 0.000000 sp DONE: 0.197000 sp.join: 0.236000 sp alive: False factorial_thread test ft.start: 0.032000 ft DONE: 9.011000 ft.join: 9.012000 ft alive: False st DONE: 12.763000

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• Which programming language to choose? (for a specific problem/domain, details inside)

  - by Bijan

  I am building a trading portfolio management system that is responsible for production, optimization, and simulation of non-high frequency trading portfolios (dealing with 1min or 3min bars of data, not tick data). I plan on employing Amazon web services to take on the entire load of the application. I have four choices that I am considering as language. a) Java b) C++ c) C# d) Python Here is the scope of the extremes of the project scope. This isn't how it will be, maybe ever, but it's within the scope of the requirements: Weekly simulation of 10,000,000 trading systems. (Each trading system is expected to have its own data mining methods, including feature selection algorithms which are extremely computationally-expensive. Imagine 500-5000 features using wrappers. These are not run often by any means, but it's still a consideration) Real-time production of portfolio w/ 100,000 trading strategies Taking in 1 min or 3 min data from every stock/futures market around the globe (approx 100,000) Portfolio optimization of portfolios with up to 100,000 strategies. (rather intensive algorithm) Speed is a concern, but I believe that Java can handle the load. I just want to make sure that Java CAN handle the above requirements comfortably. I don't want to do the project in C++, but I will if it's required. The reason C# is on there is because I thought it was a good alternative to Java, even though I don't like Windows at all and would prefer Java if all things are the same. Python - I've read somethings on PyPy and pyscho that claim python can be optimized with JIT compiling to run at near C-like speeds.... That's pretty much the only reason it is on this list, besides that fact that Python is a great language and would probably be the most enjoyable language to code in, which is not a factor at all for this project, but a perk. To sum up: - real time production - weekly simulations of a large number of systems - weekly/monthly optimizations of portfolios - large numbers of connections to collect data from There is no dealing with millisecond or even second based trades. The only consideration is if Java can possibly deal with this kind of load when spread out of a necessary amount of EC2 servers. Thank you guys so much for your wisdom.

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• CodePlex Daily Summary for Saturday, May 12, 2012

  CodePlex Daily Summary for Saturday, May 12, 2012Popular ReleasesKanboxAPI: KanboxAPI beta: ????? Token Info List DownloadMedia Companion: Media Companion 3.502b: It has been a slow week, but this release addresses a couple of recent bugs: Movies Multi-part Movies - Existing .nfo files that differed in name from the first part, were missed and scraped again. Trailers - MC attempted to scrape info for existing trailers. TV Shows Show Scraping - shows available only in the non-default language would not show up in the main browser. The correct language can now be selected using the TV Show Selector for a single show. General Will no longer prompt for ...NewLife XCode ??????: XCode v8.5.2012.0508、XCoder v4.7.2012.0320: X????： 1，????For .Net 4.0?? XCoder????： 1，???????，????X????，?????? XCode????： 1，Insert/Update/Delete???????????????，???SQL???? 2，IEntityOperate?????? 3，????????IEntityTree 4，????????????????? 5，?????????? 6，??????????????dycom: v1.0: DYCom ????????：Silverlight, Windows phone 7.5.NETMF_for_STM32: Beta 1 Release: First public beta release.Google Book Downloader: Google Books Downloader Lite 1.0: Google Books Downloader Lite 1.0Python Tools for Visual Studio: 1.5 Alpha: We’re pleased to announce the release of Python Tools for Visual Studio 1.5 Alpha. Python Tools for Visual Studio (PTVS) is an open-source plug-in for Visual Studio which supports programming with the Python language. PTVS supports a broad range of features including: • Supports Cpython, IronPython, Jython and Pypy • Python editor with advanced member, signature intellisense and refactoring • Code navigation: “Find all refs”, goto definition, and object browser • Local and remote debugging...JayData - The cross-platform HTML5 data-management library for JavaScript: JayData 1.0 RC1 Refresh 1: JayData 1.0.0 RC1 Refresh 1 JayData is a unified data access API to webSQL, indexedDB, OData, Facebook and YQL. Overview The major feature of this release is related to OData provider, FunctionImport is now generally supported. Now you can consume OData service operations (WebMethods). We extended the JaySvcUtil to generate the necessary metadata. We included many fixes, such as the Visual Studio 2010 IntelliSense optimalization (RC1 was optimized only to VS11). It's recommended to upgrade...AD Gallery: AD Gallery 1.2.7: NewsFixed a bug which caused the current thumbnail not to be highlighted Added a hook to take complete control over how descriptions are handled, take a look under Documentation for more info Added removeAllImages()51Degrees.mobi - Mobile Device Detection and Redirection: 2.1.4.8: One Click Install from NuGet Data ChangesIncludes 42 new browser properties in both the Lite and Premium data sets. Premium Data includes many new devices including Nokia Lumia 900, BlackBerry 9220 and HTC One, the Samsung Galaxy Tab 2 range and Samsung Galaxy S III. Lite data includes devices released in January 2012. Changes to Version 2.1.4.81. The IsFirstTime method of the RedirectModule will now return the same value when called multiple times for the same request. This was prevent...Mugen Injection: Mugen Injection ver 2.2 (WinRT supported): Added NamedParameterAttribute, OptionalParameterAttribute. Added behaviors ICycleDependencyBehavior, IResolveUnregisteredTypeBehavior. Added WinRT support. Added support for NET 4.5. Added support for MVC 4.NShape - .Net Diagramming Framework for Industrial Applications: NShape 2.0.1: Changes in 2.0.1:Bugfixes: IRepository.Insert(Shape shape) and IRepository.Insert(IEnumerable<Shape> shapes) no longer insert shape connections. Several context menu items did display although the required permission was not granted Display did not reset the visible and active layers when changing the diagram NullReferenceException when pressing Del key and no shape was selected Changed Behavior: LayerCollection.Find("") no longer throws an exception. Improvements: Display does not rese...AcDown????? - Anime&Comic Downloader: AcDown????? v3.11.6: ?? ●AcDown??????????、??、??????，????1M，????，????，?????????????????????????。???????????Acfun、????(Bilibili)、??、??、YouTube、??、???、??????、SF????、????????????。??????AcPlay?????，??????、????????????????。 ● AcDown???????????????????????????，???，???????????????????。 ● AcDown???????C#??，????.NET Framework 2.0??。?????"Acfun?????"。 ????32??64? Windows XP/Vista/7/8 ????????????? ??：????????Windows XP???,?????????.NET Framework 2.0???(x86)，?????"?????????"??? ??????????????，??????????： ??"AcDo...sb0t: sb0t 4.64: New commands added: #scribble <url> #adminscribble on #adminscribble offDocument.Editor: 2012.4: Whats new for Document.Editor 2012.4: Improved Template support Improved Options Dialog Minor Bug Fix's, improvements and speed upsJson.NET: Json.NET 4.5 Release 5: New feature - Added ItemIsReference, ItemReferenceLoopHandling, ItemTypeNameHandling, ItemConverterType to JsonPropertyAttribute New feature - Added ItemRequired to JsonObjectAttribute New feature - Added Path to JsonWriterException Change - Improved deserializer call stack memory usage Change - Moved the PDB files out of the NuGet package into a symbols package Fix - Fixed infinite loop from an input error when reading an array and error handling is enabled Fix - Fixed base objec...BlackJumboDog: Ver5.6.1: 2012.05.07 Ver5.6.1 (1)????????????????(Ver5.6.0??)??? (2)HTTP?????SSL????????????（Ver5.6.0??）??? (3)HTTP?????2G??????????????????????????? (4)HTP????　?????????ExtAspNet: ExtAspNet v3.1.5: ExtAspNet - ?? ExtJS ??? ASP.NET 2.0 ???，????? AJAX ?????????? ExtAspNet ????? ExtJS ??? ASP.NET 2.0 ???，????? AJAX ??????????。 ExtAspNet ??????? JavaScript，?? CSS，?? UpdatePanel，?? ViewState，?? WebServices ???????。 ??????: IE 7.0, Firefox 3.6, Chrome 3.0, Opera 10.5, Safari 3.0+ ????：Apache License 2.0 (Apache) ??：http://extasp.net/ ??：http://bbs.extasp.net/ ??：http://extaspnet.codeplex.com/ ??：http://sanshi.cnblogs.com/ ????： +2012-05-06 v3.1.5 -????????：grid/grid_twogrid.aspx。 +?...SharpDevelop: SharpDevelop 4.2: Please see http://community.sharpdevelop.net/forums/t/15772.aspx for the release announcement.Desktop Google Reader: 1.4.4: Taskbar icon overlay (number of unread items) can now be switched off in preferences (Windows Vista / 7 only) Maximize button now can be toggled to be fullscreen (as befor) or only normal maximize (taskbar stays visible) in preferences List of feeds is now sorted by alphabetNew Projects3D Scene Editor: A generic 3d level editor built using XNA to speed up designing and building game levels.Attribute Based Cache using Unity Interception: Unity interception handler attribute for Caching which allows to apply boiler plate caching pattern to classes, and class members directly, without configuring them in the application configuration file. Configure your choice of Cache Provider (ObjectCache, Azure included) in the Unity IoC Container and apply the attribute to the method which you want to cache AutoCompleteBox for WinRT: None yetBAC2 Bachelor's Thesis Source Code: The source code of my Bachelor's ThesisBAMabase: It's a bamabase.BBSProject: BBSProjectBrain 2 - Game Engine: Brain 2 is a Game Engine that runs on multiple platforms.cobra-winldtp: Cobra - Windows version of Linux Desktop Testing Project (WinLDTP) - http://ldtp.freedesktop.org LDTP is a GUI test automation tool works on both Windows and Linux platform Windows GUI test automation tool written in C# and test scripts can be written in Python for now. Ruby API will be added soon.CS322: C# Programski jezikDoxBotPlugin: The DoxBotPlugin is a Plug-In for Ice-Chat9 that allows a user to use Icechat9 as both a normal IRC client and to switch on bot mode in certain channels to have DoxBotPlugin act on their behalf.dycom: DYCom??(DY Communication)???????????,?????????????????.????????????????. ??????????????????????,?????????????????。Eyes Protector: PL: Program pomagajacy w ochronie oczu przed przemeczeniem zwiazanym ze zbyt dluga praca przy komputerze. EN: ---kshell: ????Linux??????Lumia: This is Lumia project.MacroDoc: MacroDoc is an engine written in C# for composing documents from reusable pieces of structure and content.Mssql: This is Sql Server project.NETMF_for_STM32: This is the Codeplex project for NETMF for STM32 (F4 Edition). Ocular - a free, open source WYSIWYG editor for HTML: Ocular is a free C# WYSIWYG HTML editor, similar to Adobe Dreamweaver. We are always looking for contributors, so please help us!PeopleCredit: Prototype web service to maintain all employee credits.Project Server workflow: This workflow creates the project site for Basic project plan EPT when workflow task is approved.(This is the correction done over the Branching workflow provided with Project Server 2010 SDK). Workflow task is created using PSWApprovalTask Content type in Project Server Workflow Task List. Quick Reminder: PL: Program pomagajacy zapisac szybkie przypomnienia podczas pracy przy komputerze. EN: ---Random Projects: My random projects...Recommendation Engine Demo: How does the Amazon recommendation works? This is about visualizing the item to item collaborations filtering mechanism using a item-to-item matrix table. The item-to-item matrix, the vectors and the calculated data values are displayed. There are n different items and the item recommendation can display up to m items. There are implemented different item-to-item neighborhood functions. A simple max count of seen neighbor items, the Cosine Similarity and the Jaccard Index. A t...SaveSeaTurtle: Sea TurtleSharpGpx: SharpGpx implements an object model for reading and writing GPX (GPS eXchange Format).SlimDo: SlimDo is a scripting language coded in C#Spring: This is Spring.Net projectSQL Server Quick Tools Pack: SQL Server Quick Tools Pack for your sql server SuLD framework: Supported Link Discovery framework (SuLD) is a tool to discover links to multiple Linked Data datasets. Finding is supported by various features like synonym module or autocomplete.TQuery.Net: .Net??????WAAP - World of warcraft Auction house Analysis Project: A project in which we try to analyse prices and auctioneers on the various World of Warcraft Auction housesxhttp.net: The Xhttp.Net framework is a dotnet implementation of the Extended Hypertext Transfer Protocol (http://www.xhttp.org), with simple service integration, full arguments support including Base64 and DateTime, single and multiple asynchronous requests, data streaming, remote API creation from XHTTP service schemas, and a runtime plugin architecture.

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• CodePlex Daily Summary for Sunday, June 10, 2012

  CodePlex Daily Summary for Sunday, June 10, 2012Popular ReleasesRCon Development Server: BF3DevServer-Console v0.3: Solved issues9 10 11 13 14 15 16 17SVNUG.CodePlex: Cloud Development with Windows Azure: This release contains the slides for the Cloud Development with Windows Azure presentation.Image Cropper for Umbraco 5: Image Cropper for Umbraco 5.1: for Umbraco version 5.1SHA-1 Hash Checker: SHA-1 Hash Checker (for Windows): Fixed major bugs. Removed false negatives.Grid.Mvc: Grid.Mvc 1.3: Added Html helper extension methods (see: Documentation) Fixed minor bugs Changed Namespace to 'GridMvc'AutoUpdaterdotNET: AutoUpdater.NET 1.0: Everything seems perfect if you find any problem you can report to http://www.rbsoft.org/contact.htmlMedia Companion: Media Companion 3.503b: It has been a while, so it's about time we release another build! Major effort has been for fixing trailer downloads, plus a little bit of work for episode guide tag in TV show NFOs.Microsoft SQL Server Product Samples: Database: AdventureWorks Sample Reports 2008 R2: AdventureWorks Sample Reports 2008 R2.zip contains several reports include Sales Reason Comparisons SQL2008R2.rdl which uses Adventure Works DW 2008R2 as a data source reference. For more information, go to Sales Reason Comparisons report.Json.NET: Json.NET 4.5 Release 7: Fix - Fixed Metro build to pass Windows Application Certification Kit on Windows 8 Release Preview Fix - Fixed Metro build error caused by an anonymous type Fix - Fixed ItemConverter not being used when serializing dictionaries Fix - Fixed an incorrect object being passed to the Error event when serializing dictionaries Fix - Fixed decimal properties not being correctly ignored with DefaultValueHandlingLINQ Extensions Library: 1.0.3.0: New to release 1.0.3.0:Combinatronics: Combinations (unique) Combinations (with repetition) Permutations (unique) Permutations (with repetition) Convert jagged arrays to fixed multidimensional arrays Convert fixed multidimensional arrays to jagged arrays ElementAtMax ElementAtMin ElementAtAverage New set of array extension (1.0.2.8):Rotate Flip Resize (maintaing data) Split Fuse Replace Append and Prepend extensions (1.0.2.7) IndexOf extensions (1.0.2.7) Ne...????????API for .Net SDK: SDK for .Net ??? Release 1: ??? - ??.Net 2.0/3.5/4.0????。??????VS2010??????????。VS2008????????，??????????。 ??? - ??.Net 4.0???SDK??????Dynamic????????。 ??? - OAuth??????AccessToken?VerifierAccessToken??。??Token?????????Client?。 ?? - OAuth???2?????。 ?????AccessToken?????????。???AppKey，AppSecret?CallbackUrl ???AccessToken????????API???Client?????。???AppKey，AppSecret?AccessToken ?? - ??OAuth??????????????????????????CallbackUrl??，??GetAuthorizeURL, GetAccessTokenByAuthorizationCode, ClientLogin?????????CallbackUr...Audio Pitch & Shift: Audio Pitch And Shift 4.5.0: Added Instruments tab for modules Open folder content feature Some bug fixesPython Tools for Visual Studio: 1.5 Beta 1: We’re pleased to announce the release of Python Tools for Visual Studio 1.5 Beta. Python Tools for Visual Studio (PTVS) is an open-source plug-in for Visual Studio which supports programming with the Python language. PTVS supports a broad range of features including: • Supports CPython, IronPython, Jython and PyPy • Python editor with advanced member, signature intellisense and refactoring • Code navigation: “Find all refs”, goto definition, and object browser • Local and remote debugging •...Circuit Diagram: Circuit Diagram 2.0 Beta 1: New in this release: Automatically flip components when placing Delete components using keyboard delete key Resize document Document properties window Print document Recent files list Confirm when exiting with unsaved changes Thumbnail previews in Windows Explorer for CDDX files Show shortcut keys in toolbox Highlight selected item in toolbox Zoom using mouse scroll wheel while holding down ctrl key Plugin support for: Custom export formats Custom import formats Open...Umbraco CMS: Umbraco CMS 5.2 Beta: The future of Umbracov5 represents the future architecture of Umbraco, so please be aware that while it's technically superior to v4 it's not yet on a par feature or performance-wise. What's new? For full details see our http://progress.umbraco.org task tracking page showing all items complete for 5.2. In a nutshellPackage Builder Starter Kits Dynamic Extension Methods Querying / IsHelpers Friendly alt template URLs Localization Various bug fixes / performance enhancements Gett...JayData - The cross-platform HTML5 data-management library for JavaScript: JayData 1.0.5: JayData is a unified data access library for JavaScript developers to query and update data from different sources like WebSQL, IndexedDB, OData, Facebook or YQL. See it in action in this 6 minutes video New features in JayData 1.0.5http://jaydata.org/blog/jaydata-1.0.5-is-here-with-authentication-support-and-more http://jaydata.org/blog/release-notes Sencha Touch 2 module (read-only)This module can be used to bind data retrieved by JayData to Sencha Touch 2 generated user interface. (exam...Application Architecture Guidelines: Application Architecture Guidelines 3.0.7: 3.0.7Jolt Environment: Jolt v2 Stable: Many new features. Follow development here for more information: http://www.rune-server.org/runescape-development/rs-503-client-server/projects/298763-jolt-environment-v2.html Setup instructions in downloadSharePoint Euro 2012 - UEFA European Football Predictor: havivi.euro2012.wsp (1.5): New fetures:Multilingual Support Max users property in Standings Web Part Games time zone change (UTC +1) bug fix - Version 1.4 locking problem http://euro2012.codeplex.com/discussions/358262 bug fix - Field Title not found (v.1.3) German SP http://euro2012.codeplex.com/discussions/358189#post844228 Bug fix - Access is denied.for users with contribute rights Bug fix - Installing on non-English version of SharePoint Bug fix - Title Rules Installing SharePoint Euro 2012 PredictorSharePoint E...myManga: myManga v1.0.0.4: ChangeLogUpdating from Previous Version: Extract contents of Release - myManga v1.0.0.4.zip to previous version's folder. Replaces: myManga.exe BakaBox.dll CoreMangaClasses.dll Manga.dll Plugins/MangaReader.manga.dll Plugins/MangaFox.manga.dll Plugins/MangaHere.manga.dll Plugins/MangaPanda.manga.dllNew ProjectsDatabase Based Config Management: This project helps you to consolidate all your app configs into DB and access it from single location. eLogistics: My logistics systemFacebook Web Parts for SharePoint 2010: Going beyond authentication with Facebook and SharePoint 2010.FsJson: A JSON Parser in F#Google Web Service API for Windows Phone: Google Web Service API ported to .NET for Windows Phone.Hedge when you can, not when you have to.: Classic Black-Scholes/Merton option hedging assumes options are continuously hedged. This project is for exploring what happens in the real world of option hedging.Infragistics via PRISM: Using Infragistics RibbonBar and DockManager with PRISMLightBus???????: LightBus???????????????；????,????,????,????,????,????；????,????；??????,??????,????,????；????????。 ????????： 1. Silverlight Out-of-Browser?? 2. Windows 8 Metro??metaPost: metaPost provides a MetaWeblog interface for managing content in DotNetNuke modules using MetaWeblog enabled editors such as Windows Live Writer. The metaPost module defines a framework that can be used to easily add MetaWeblog publishing support to existing DotNetNuke modules.MPerfs Tool: MPerfs is a tool of MSSQL Performance Tool Web site, developped in php/javascript with graphicals and tables, using a MSSQL database contained DMVs data aggregations and historicals. Supported Versions : Microsoft SQLServer 2005 and 2008 R1 (2008 R2 soon). Important : The tool doesn't monitor SSAS, SSIS or SSRSNanoMVVM: a lightweight wpf MVVM framework: This is a lightweight C# 4.0 ViewModel-first MVVM framework designed to aid in the creation of desktop wpf applications.Open Personal Response System: OpenPRS is designed to be an audience-feedback tool for presenters to keep audiences engaged in a presentation as well as facilitating information gathering from the audience and presentation to the presenter and other interested parties. Panda TimeManager: Panda TimeManager is a software for management of timesheets.Progetto Sicurezza: A *VERY* basic implementation of a Certification Authority and a Client to use it, made with vb.net, BouncyCastle and iTextSharp.Proyectos de Pruebas de UTB Minor Sql 2012: Proyectos de Pruebas de UTB Minor Sql 2012Really fast Javascript Base64 encoder/decoder with utf-8 suppot: If you wonder why another one, then focus on the title. I’ve seen a lot of implementations (custom ones and in libraries/frameworks) that are fast, but not as this one. What you get is significant performance in encoding and light speed in decoding.Rezerwior - JSF: Projekt aplikacji webowej w technologi Java Server Faces 2.0Rules of Acquisition: Ferengi rules of acquistion for Windows Phone.SCOMA - FIM Connector for System Center Orchestrator: SCOMA is the acronym for the Web Service-based FIM connector (aka Management Agent) for System Center Orchestrator, short SCO. SCOMA is written in C# and based on the new ECMA2 (Extensible Connectivity 2.0 Management Agents) interface that is part of FIM 2010 R2 and FIM 2010 Update 2.SHA-1 Hash Checker: Offline command line tool that generates a SHA-1 hash for a text string or pass-phrase. Additionally, you may check your hash against published lists of compromised hashes, to check whether your password has been compromised or not.Testprojekt: Dies ist nur ein TestTmib Video Downloader: A small youtube video downloader. Created in C#TVGrid: watch several web streams simultaneously??: ????、???????ARPG

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