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  • How to organize Python modules for PyPI to support 2.x and 3.x

    - by Craig McQueen
    I have a Python module that I would like to upload to PyPI. So far, it is working for Python 2.x. It shouldn't be too hard to write a version for 3.x now. But, after following guidelines for making modules in these places: Distributing Python Modules The Hitchhiker’s Guide to Packaging it's not clear to me how to support multiple source distributions for different versions of Python, and it's not clear if/how PyPI could support it. I envisage I would have separate code for: 2.x 2.6 (maybe, as a special case to use the new buffer API) 3.x How is it possible to set up a Python module in PyPI so that someone can do: easy_install modulename and it will install the right thing whether the user is using 2.x or 3.x?

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  • Prevent Python from caching the imported modules

    - by Olivier
    While developing a largeish project (split in several files and folders) in Python with IPython, I run into the trouble of cached imported modules. The problem is that instructions import module only reads the module once, even if that module has changed! So each time I change something in my package, I have to quit and restart IPython. Painful. Is there any way to properly force reloading some modules? Or, better, to somehow prevent Python from caching them? I tried several approaches, but none works. In particular I run into really, really weird bugs, like some modules or variables mysteriously becoming equal to None... The only sensible resource I found is Reloading Python modules, from pyunit, but I have not checked it. I would like something like that. A good alternative would be for IPython to restart, or restart the Python interpreter somehow. So, if you develop in Python, what solution have you found to this problem?

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  • deciding between subprocess, multiprocesser and thread in Python?

    - by user248237
    I'd like to parallelize my Python program so that it can make use of multiple processors on the machine that it runs on. My parallelization is very simple, in that all the parallel "threads" of the program are independent and write their output to separate files. I don't need the threads to exchange information but it is imperative that I know when the threads finish since some steps of my pipeline depend on their output. Portability is important, in that I'd like this to run on any Python version on Mac, Linux and Windows. Given these constraints, which is the most appropriate Python module for implementing this? I am tryign to decide between thread, subprocess and multiprocessing, which all seem to provide related functionality. Any thoughts on this? I'd like the simplest solution that's portable. Thanks.

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  • Using Crypt function Python 3.3.2

    - by adampski
    In Windows and Python version 3.3.2, I try and call the python module like so: hash2 = crypt(word, salt) I import it at the top of my program like so: from crypt import * The result I get is the following: Traceback (most recent call last): File "C:\none\of\your\business\adams.py", line 10, in <module> from crypt import * File "C:\Python33\lib\crypt.py", line 3, in <module> import _crypt ImportError: No module named '_crypt' However, when I execute the same file adams.py in Ubuntu, with Python 2.7.3, it executes perfectly - no errors. I tried the following to resolve the issue for my Windows & Python 3.3.2 (though I'm sure the OS isn't the issue, the Python version or my use of syntax is the issue): Rename the directory in the Python33 directory from Lib to lib Rename the crypt.py in lib to _crypt.py. However, it turns out the entire crypt.py module depends on an external module called _crypt.py too. Browsed internet to download anything remotely appropriate to resemble _crypt.py It's not Python, right? It's me...(?) I'm using syntaxes to import and use external modules that are acceptable in 2.7.3, but not in 3.3.2. Or have I found a bug in 3.3.2?

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  • Python 2 dict_items.sort() in Python 3

    - by DaveWeber
    I'm porting some code from Python 2 to 3. This is valid code in Python 2 syntax: def print_sorted_dictionary(dictionary): items=dictionary.items() items.sort() In Python 3, the dict_items have no method 'sort' - how can I make a workaround for this in Python 3?

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  • Making python 3.3 default python 3 interpreter instead of 3.2

    - by user1873947
    So, to keep it simple. Ubuntu 12.10 has python 3.2 pre installed and it is linked to "python3". I downloaded python 3.3 and it's command is "python3.3". However, I downloaded pySide for python3 from synaptic. Using "from PySide.QtCore import *" fails on python3.3. BUT, when I ran just "python3" (aka 3.2) everything works fine. Synaptic just installed lib for python3.2 which is default for python3 in ubuntu. How can I force synaptic to install modules for python3.3? Thanks

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  • Parallel Debugging

    Using Visual Studio 2010 parallel debugging is easy. Two new debugging windows provide a total view of the internals of your PPL and TPL applications with hints on where to start investigations. These are not mere extensions to VS, but tightly integrated with the rest of the debugger experience, so you don't need to learn many new techniques. Use them in your program to eclipse bugs from existence!One of the most FAQ I receive is links to VS2010 parallel debugging content and rather than keep sending many, I decided to gather them all under one permalink, hence this multi link blog post.- MSDN Magazine article on Parallel Debugging.- Screencast of sample code from the article.- MSDN Walkthrough: Debugging a Parallel Application (VB, C++, C#).- Screencast of walkthrough for Parallel Stacks.- Screencast of walkthrough for Parallel Tasks.- MSDN "How To" on Parallel Tasks.- MSDN "How To" on Parallel Stacks.- Detailed blog post on Parallel Tasks.- Detailed blog post on Parallel Stacks.- Detailed blog post on Parallel Stacks - Tasks View.- Detailed blog post on Parallel Stacks - Method View.- Download slides on Parallel Tasks and Parallel Stacks (pptx).If you have questions on these, please post to any of the parallel computing forums or the debugging forum (your question will be routed to me if nobody else can answer it). Comments about this post welcome at the original blog.

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  • What is massively parallel processing (MPP) ?

    - by HotTester
    Ever since Microsoft introduced sql-server version code-named "Madison" the massively parallel processing (MPP) has got into picture. What exactly is it and how does sql-server is going to benefit from it ? Further is massively parallel processing (MPP) related to parallel computing ? I read about Madison here and about parallel computing here. Thanks in advance.

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  • Best practise for Progress Bar in Python's PyGTK

    - by Matthew Walker
    I would like to get feedback on others' opinions of best practice for how to implement a progress bar in Python's PyGTK. The work that the progress bar was to represent was very significant computationally. Therefore, I wanted the work to be done in a separate process (thus giving the operating system the possibility to run it on a different core). I wanted to be able to start the work, and then continue to use the GUI for other tasks while waiting for the results. I have seen many people asking this question indirectly, but I have not seen any concrete expert advice. I hope that by asking this question we will see a community's combined expertise. I have read the FAQ and I hope that "Programmers" is the right place to ask.

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  • sudo apt-get install python.pip python-dev Gives Error

    - by user2539745
    I am learning Django from http://gettingstartedwithdjango.com/ and I have windows 7 32-bit. The tutorial asked to install virtualbox and vagrant(tutorial had precise64 and it had issues in my pc so I installed precise32) so I did it. Now the tutorial asked to do sudo apt-get install python-dev python.pip so I did it but it gave me this error > vagrant@precise32:~$ sudo apt-get install python.pip python-dev Reading package lists... Done Building dependency tree Reading state information... Done Note, selecting 'python-pip' for regex 'python.pip' Note, selecting 'python-pipeline' for regex 'python.pip' The following extra packages will be installed: libexpat1 libexpat1-dev libpython2.7 python-pkg-resources python-setuptools python-support python2.7 python2.7-dev python2.7-minimal Suggested packages: python-distribute python-distribute-doc python2.7-doc binfmt-support The following NEW packages will be installed: libexpat1-dev libpython2.7 python-dev python-pip python-pipeline python-pkg-resources python-setuptools python-support python2.7-dev The following packages will be upgraded: libexpat1 python2.7 python2.7-minimal 3 upgraded, 9 newly installed, 0 to remove and 63 not upgraded. Need to get 34.7 MB/35.7 MB of archives. After this operation, 42.0 MB of additional disk space will be used. Do you want to continue [Y/n]? y Err (http removed)us.archive.ubuntu.com/ubuntu/ precise-updates/main python2.7 i386 2.7 .3-0ubuntu3.1 404 Not Found [IP: 91.189.91.15 80] Err (http removed)us.archive.ubuntu.com/ubuntu/ precise-updates/main python2.7-minimal i386 2.7.3-0ubuntu3.1 404 Not Found [IP: 91.189.91.15 80] Err (http removed)us.archive.ubuntu.com/ubuntu/ precise-updates/main libpython2.7 i386 2.7.3-0ubuntu3.1 404 Not Found [IP: 91.189.91.15 80] Err (http removed)us.archive.ubuntu.com/ubuntu/ precise-updates/main python2.7-dev i386 2.7.3-0ubuntu3.1 404 Not Found [IP: 91.189.91.15 80] Failed to fetch (http removed)us.archive.ubuntu.com/ubuntu/pool/main/p/python2.7/python 2.7_2.7.3-0ubuntu3.1_i386.deb 404 Not Found [IP: 91.189.91.15 80] Failed to fetch (http removed)us.archive.ubuntu.com/ubuntu/pool/main/p/python2.7/python 2.7-minimal_2.7.3-0ubuntu3.1_i386.deb 404 Not Found [IP: 91.189.91.15 80] Failed to fetch (http removed)us.archive.ubuntu.com/ubuntu/pool/main/p/python2.7/libpyt hon2.7_2.7.3-0ubuntu3.1_i386.deb 404 Not Found [IP: 91.189.91.15 80] Failed to fetch (http removed)us.archive.ubuntu.com/ubuntu/pool/main/p/python2.7/python 2.7-dev_2.7.3-0ubuntu3.1_i386.deb 404 Not Found [IP: 91.189.91.15 80] E: Unable to fetch some archives, maybe run apt-get update or try with --fix-mis sing? Please help what should I do ??

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  • Python IDLE: How to type correct indentation?

    - by user2988464
    Mac: Maverick Python: 3.4 I tried to testtimeit module in Python's IDLE import timeit >>> timeit.timeit( "obj.method", """ class SomeClass: def method(self): pass obj = SomeClass() """) When I tried to type def method(self): on the next line of class SomeClass, I hit Tab, it prompted a window showing the files inside my Document directory. So I hit Ctrl+Tab instead. But I still got the error: Traceback (most recent call last): File "<pyshell#26>", line 6, in <module> """) File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/timeit.py", line 213, in timeit return Timer(stmt, setup, timer).timeit(number) File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/timeit.py", line 122, in __init__ code = compile(src, dummy_src_name, "exec") File "<timeit-src>", line 9 _t0 = _timer() ^ IndentationError: unindent does not match any outer indentation level Can someone explain: how to fix it, and how to avoid the prompt of My Document appear? Thx!!!

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  • How to install python modules for specific python version

    - by Zayatzz
    I needed to install UCS2 python next to UCS4 python. So I went to comp.lang.python and asked them about it. Probably not the best place to ask it, but they answered https://groups.google.com/forum/?fromgroups#!topic/comp.lang.python/bGuAfqa76W8 and now i have brand new python 2.7.3 ucs2 installed in /opt/bin/python What I need now is - how can I install all other python modules that I have installed for that python version also. Basically stuff like PIL and postgresql and mod_wsgi - basically everything needed to run Django for that python version. Is this the right the place to ask for it?

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  • call python with system() in R to run a python script emulating the python console

    - by Yihui
    I want to pass a chunk of Python code to Python in R with something like system('python ...'), and I'm wondering if there is an easy way to emulate the python console in this case. For example, suppose the code is "print 'hello world'", how can I get the output like this in R? >>> print 'hello world' hello world This only shows the output: > system("python -c 'print \"hello world\"'") hello world Thanks! BTW, I asked in r-help but have not got a response yet (if I do, I'll post the answer here).

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  • Bash script 'while read' loop causes 'broken pipe' error when run with GNU Parallel

    - by Joe White
    According to the GNU Parallel mailing list this is not a GNU Parallel-specific problem. They suggested that I post my problem here. The error I'm getting is a "broken pipe" error, but I feel I should first explain the context of my problem and what causes this error. It happens when trying to use any bash script containing a 'while read' loop in GNU Parallel. I have a basic bash script like this: #!/bin/bash # linkcheck.sh while read domain do host "$domain" done Assume that I want to pipe in a large list (250mb say). cat urllist | ./linkcheck.sh Running host command on 250mb worth of URLs is rather slow. To speed things up I want to break up the input into chunks before piping it and then run multiple jobs in parallel. GNU Parallel is capable of doing this. cat urllist | parallel --pipe -j0 parallel ./linkcheck.sh {} {} is substituted by the contents of urllist line-by-line. Assume that my systems default setup is capable of running 500ish jobs per instance of parallel. To get round this limitation we can parallelize Parallel itself: cat urllist | parallel -j10 --pipe parallel -j0 ./linkcheck.sh {} This will run 5000'ish jobs. It will also, sadly, cause the error "broken pipe" (bash FAQ). Yet the script starts to work if I remove the while read loop and take input directly from whatever is fed into {} e.g., #!/bin/bash # linkchecker.sh domain="$1" host "$1" Why will it not work with a while read loop? Is it safe to just turn off the SIGPIPE signal to stop the "broken pipe" message, or will that have side effects such as data corruption? Thanks for reading.

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  • Installing PIL (Python Imaging Library) in Win7 64 bits, Python 2.6.4

    - by Rafael Almeida
    I'm trying to install said library for use with Python. I tried downloading the executable installer for Windows, which runs, but says it doesn't find a Python installation. Then tried registering (http://effbot.org/zone/python-register.htm) Python, but the script says it can't register (although the keys appear in my register). Then I tried downloading the source package: I run the setup.py build and it works, but when I run setup.py install it says the following: running install running build running build_py running build_ext building '_imaging' extension error: Unable to find vcvarsall.bat What can I do?

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  • Parallel.For Inconsistency results

    - by ni Gue ???
    I am using VB.net to write a parallel based code. I use Parallel.For to generate pairs of 500 objects or in combination C(500,2) such as the following code; but I found that it didn't always generate all combinations which should be 124750 (shown from variable Counter). No other thread was runing when this code was run. I am using a Win-7 32 Bit desktop with Intel Core i5 CPU [email protected], 3.33 GHz and RAM 2GB. What's wrong with the code and how to solve this problem? Thank You. Dim Counter As Integer = 0 Parallel.For(0, 499, Sub(i) For j As Integer = i + 1 To 499 Counter += 1 Console.Write(i & ":" & j) Next End Sub) Console.Writeline("Iteration number: " & Counter)

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  • Going Parallel with the Task Parallel Library and PLINQ

    With more and more computers using a multi-core processor, the free lunch of increased clock speeds and the inherent performance gains are over. Software developers must instead make sure their applications take use of all the cores available in an efficient manner. New features in .NET 4.0 mean that managed code developers too can join the party.

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  • How to become a solid python web developer [closed]

    - by Estarius
    Possible Duplicate: How do I learn Python from zero to web development? I have started Python recently with the goal to become a solid developer to make a web application eventually. However, as time goes by I am wondering if I am being optimal about how I will achieve my goal. I would compare it to a game for example, to be better you must spend time playing and trying new things... However, if you just log in and sit in the lobby chatting you are most likely not progressing. So far, this is my plan (feel free to comment or judge it): Review basic programmation concepts Start coding slowly in Python Once comfortable in Python, learn about web development in Python Learn about those things we heard about: SQLAlchemy, MVC, TDD, Git, Agile (Group project) To achieve these things, I started the Learn python the hard way exercises, which I am doing at the rate of 5 per days. I also started to read Think Python at the same time and planning to move on with Dive into python. As far as my research goes, these documentations along with Python documentation is usually what is the most recommended to learn Python. I consider this to get my point 1 and 2 done. While learning Python is really great, my goal remains to do quality web development. I know there are books about Django etc. however I would like to become comfortable with any Python web development. This means without Framework and with Framework... Any framework, then be able to choose the one which best fits our needs. For this I would like to know if some people have suggestions. Should I just get a book on Django and it should apply to everything ? What would be the best method to go from Python to Web Python and not end up creating crappy code which would turn into nightmares for other programmers ? Then finally, those "things we hear about". While I understand what they all do basically, I am fairly sure that like everything, there are good and wrong ways of making use of them. Should I go through at least a whole book on each before starting to use them or keep it at their respective online documentation ? Are there some kind of documentation which links their use to Python ? Also, from looking at Django and Pyramid they seems to use something else than MVC, while the Django model looks similar, the Pyramid one seems to cut a whole part of it... Is learning MVC still worth it ? Sorry for the wall of text, Thanks in advance !

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  • Why do people hesitate using Python 3?

    - by Ham
    Python 3 has been released in December 2008. A lot of time has passed since then but still today many developers hesitate using Python 3. Even popular frameworks like Django are not compatible with Python 3 yet but still rely on Python 2. Sure, Python 3 has some incompatibilities to Python 2 and some people need to rely on backwards-compatibility. But hasn't Python 3 been around long enough now for most projects to switch or start with Python 3? Having two competiting versions has so many drawbacks; two branches need to be maintained, confusion for learners and so on, so why is there such a big hesitation throughout the Python community in switching to Python 3?

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  • LinqToSql - Parallel - DataContext and Parallel

    - by Gregoire
    In .NET 4 and multicore environment, does the linq to sql datacontext object take advantage of the new parallels if we use DataLoadOptions.LoadWith? EDIT I know linq to sql does not parallelize ordinary queries. What I want to know is when we specify DataLoadOption.LoadWith, does it use parallelization to perform the match between each entity and its sub entities? Example: using(MyDataContext context = new MyDataContext()) { DataLaodOptions options =new DataLoadOptions(); options.LoadWith<Product>(p=>p.Category); return this.DataContext.Products.Where(p=>p.SomeCondition); } generates the following sql: Select Id,Name from Categories Select Id,Name, CategoryId from Products where p.SomeCondition when all the products are created, will we have a categories.ToArray(); Parallel.Foreach(products, p => { p.Category == categories.FirstOrDefault(c => c.Id == p.CategoryId); }); or categories.ToArray(); foreach(Product product in products) { product.Category = categories.FirstOrDefault(c => c.Id == product.CategoryId); } ?

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  • Cannot compile GDB7.8 with Python support

    - by j0h
    I am trying to install GDB7.8 with Python support. From the source folder, I am running ./configure --with-python When I did tab-complete from --with- I did not see Python in the list. But when I ran configure with that flag, it did not baulk. When I run make, it complains that Python is not found. checking for python2.7... no but Python is installed: $ which python python python2.7 python2.7-dbg-config python2 python2.7-dbg $ which python2.7 /usr/bin/python2.7 I compiled GDB without --with-python and things installed without error. I was under the impression that GDB7.8 had Python support without the need for special flags. But when I run: $gdb python (gdb) run test.py I get some sort of cannot import gdb Import error So then I tried calling "pi": (gdb) pi printf.py Python scripting is not supported in this copy of GDB. So... how do I get Python support in GDB7.8? is it actually not supported? Or should I not call "pi"?

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  • Fastest image iteration in Python

    - by Greg
    I am creating a simple green screen app with Python 2.7.4 but am getting quite slow results. I am currently using PIL 1.1.7 to load and iterate the images and saw huge speed-ups changing from the old getpixel() to the newer load() and pixel access object indexing. However the following loop still takes around 2.5 seconds to run for an image of around 720p resolution: def colorclose(Cb_p, Cr_p, Cb_key, Cr_key, tola, tolb): temp = math.sqrt((Cb_key-Cb_p)**2+(Cr_key-Cr_p)**2) if temp < tola: return 0.0 else: if temp < tolb: return (temp-tola)/(tolb-tola) else: return 1.0 .... for x in range(width): for y in range(height): Y, cb, cr = fg_cbcr_list[x, y] mask = colorclose(cb, cr, cb_key, cr_key, tola, tolb) mask = 1 - mask bgr, bgg, bgb = bg_list[x,y] fgr, fgg, fgb = fg_list[x,y] pixels[x,y] = ( (int)(fgr - mask*key_color[0] + mask*bgr), (int)(fgg - mask*key_color[1] + mask*bgg), (int)(fgb - mask*key_color[2] + mask*bgb)) Am I doing anything hugely inefficient here which makes it run so slow? I have seen similar, simpler examples where the loop is replaced by a boolean matrix for instance, but for this case I can't see a way to replace the loop. The pixels[x,y] assignment seems to take the most amount of time but not knowing Python very well I am unsure of a more efficient way to do this. Any help would be appreciated.

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