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• Interpreted vs. Compiled vs. Late-Binding

  - by zubin71

  Python is compiled into an intermediate bytecode(pyc) and then executed. So, there is a compilation followed by interpretation. However, long-time Python users say that Python is a "late-binding" language and that it should`nt be referred to as an interpreted language. How would Python be different from another interpreted language? Could you tell me what "late-binding" means, in the Python context? Java is another language which first has source code compiled into bytecode and then interpreted into bytecode. Is Java an interpreted/compiled language? How is it different from Python in terms of compilation/execution? Java is said to not have, "late-binding". Does this have anything to do with Java programs being slighly faster than Python? Itd be great if you could also give me links to places where people have already discussed this; id love to read more on this. Thank you.

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• associating a filetype with a batch script, and getting parameters passed to file of that type.

  - by Carson Myers

  Sorry for the cryptic title. I have associated python scripts with a batch file that looks like this: python %* I did this because on my machine, python is installed at C:\python26 and I prefer not to reinstall it (for some reason, it won't let me add a file association to the python interpreter. I can copy the executable to Program Files and it works -- but nothing out of Program Files seems to work). Anyways, I can do this, so far: C:\py django-admin C:\py python "C:\python26\Lib\site-packages\django\bin\django-admin.py" Type 'django-admin.py help' for usage. C:\py django-admin startproject myProj C:\py python "C:\python26\Lib\site-packages\django\bin\django-admin.py" Type 'django-admin.py help' for usage. but the additional parameters don't get passed along to the batch script. This is getting very annoying, all I want to do is run python scripts :) How can I grab the rest of the parameters in this situation?

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• Partition Wise Joins II

  - by jean-pierre.dijcks

  One of the things that I did not talk about in the initial partition wise join post was the effect it has on resource allocation on the database server. When Oracle applies a different join method - e.g. not PWJ - what you will see in SQL Monitor (in Enterprise Manager) or in an Explain Plan is a set of producers and a set of consumers. The producers scan the tables in the the join. If there are two tables the producers first scan one table, then the other. The producers thus provide data to the consumers, and when the consumers have the data from both scans they do the join and give the data to the query coordinator. Now that behavior means that if you choose a degree of parallelism of 4 to run such query with, Oracle will allocate 8 parallel processes. Of these 8 processes 4 are producers and 4 are consumers. The consumers only actually do work once the producers are fully done with scanning both sides of the join. In the plan above you can see that the producers access table SALES [line 11] and then do a PX SEND [line 9]. That is the producer set of processes working. The consumers receive that data [line 8] and twiddle their thumbs while the producers go on and scan CUSTOMERS. The producers send that data to the consumer indicated by PX SEND [line 5]. After receiving that data [line 4] the consumers do the actual join [line 3] and give the data to the QC [line 2]. BTW, the myth that you see twice the number of processes due to the setting PARALLEL_THREADS_PER_CPU=2 is obviously not true. The above is why you will see 2 times the processes of the DOP. In a PWJ plan the consumers are not present. Instead of producing rows and giving those to different processes, a PWJ only uses a single set of processes. Each process reads its piece of the join across the two tables and performs the join. The plan here is notably different from the initial plan. First of all the hash join is done right on top of both table scans [line 8]. This query is a little more complex than the previous so there is a bit of noise above that bit of info, but for this post, lets ignore that (sort stuff). The important piece here is that the PWJ plan typically will be faster and from a PX process number / resources typically cheaper. You may want to look out for those plans and try to get those to appear a lot... CREDITS: credits for the plans and some of the info on the plans go to Maria, as she actually produced these plans and is the expert on plans in general... You can see her talk about explaining the explain plan and other optimizer stuff over here: ODTUG in Washington DC, June 27 - July 1 On the Optimizer blog At OpenWorld in San Francisco, September 19 - 23 Happy joining and hope to see you all at ODTUG and OOW...

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• How do I upgrade django on ubuntu 9.04?

  - by Lorin Hochstein

  I've got Django 1.0.2 installed on Ubuntu 9.04. I'd like to upgrade Django, because I have an app that needs Django 1.1 or greater. I tried using pip to do the upgrade, but got the following: $ sudo pip install Django==1.1 Downloading/unpacking Django==1.1 Downloading Django-1.1.tar.gz (5.6Mb): 5.6Mb downloaded Running setup.py egg_info for package Django Installing collected packages: Django Found existing installation: Django 1.0.2-final Not uninstalling Django at /var/lib/python-support/python2.6, outside environment /usr Running setup.py install for Django changing mode of build/scripts-2.6/django-admin.py from 644 to 755 changing mode of /usr/local/bin/django-admin.py to 755 Successfully installed Django It seems like it worked, but it refuses to remove the original Django 1.02, and sure enough: $ pip freeze | grep -i django Django==1.0.2-final django-debug-toolbar==0.8.3 django-sphinx==2.2.3 $ /usr/local/bin/django-admin.py --version 1.0.2 final The problem, apparently, is that pip won't uninstall files outside of /usr. I'd like to remove the existing Django files manually, but I have no idea how to do that, because I'm unfamiliar with how Python packages are laid out in Ubuntu. It looks pretty complicated. The site-packages directory is: $ python -c "from distutils.sysconfig import get_python_lib; print get_python_lib()" /usr/lib/python2.6/dist-packages However, that's not where the django files live: $ ls -ld /usr/lib/python2.6/dist-packages/[Dd]jango* ls: cannot access /usr/lib/python2.6/dist-packages/[Dd]jango*: No such file or directory There's a /var/lib/python-support/python2.6/django directory, and the __init__.py file in that directory points to /usr/share/python-support/python-django/django/__init__.py. Clearly, pip is able to figure out where the files live. Is there any way to retrieve the list of files associated with the django package so I can just delete them manually?

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• Probelms Intstalling Trac using apt-get Ubuntu Jaunty

  - by Ben Waine

  Hi, I'm having some issues getting apt to install trac correctly on my Ubuntu Jaunty Box. Using the command 'apt-get install trac' I get the following output: root@myserver:~# apt-get install trac Reading package lists... Done Building dependency tree Reading state information... Done Some packages could not be installed. This may mean that you have requested an impossible situation or if you are using the unstable distribution that some required packages have not yet been created or been moved out of Incoming. Since you only requested a single operation it is extremely likely that the package is simply not installable and a bug report against that package should be filed. The following information may help to resolve the situation: The following packages have unmet dependencies: trac: Depends: python-setuptools (> 0.5) but it is not installable Depends: python-pysqlite2 (>= 2.3.2) but it is not going to be installed Depends: python-subversion but it is not installable Depends: libjs-jquery but it is not installable Recommends: python-pygments (= 0.6) but it is not installable or enscript but it is not installable Recommends: python-tz but it is not installable E: Broken packages I have successfully used the command on my karmic kola desktop machine and am able to create new projects etc. I thought I might be able to solve the problem by installing all python related extensions. This produced a very similar output. I have Main, universe and multi-verse repositories enabled. Its a remote machine and I have no access to the gui. Hope someone can help, googleing failed to solve the issue or find a solution! Thanks, Ben

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• Error installing pygraphviz on OSX

  - by Neil

  I'm trying to get the graph-models to work (from django-command extensions) on Snow Leopard. It requires pygraphviz, which I installed via macports. After successful install I am getting this error: >>> import pygrahphviz Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: No module named pygrahphviz >>> import pygraphviz Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Library/Python/2.6/site-packages/pygraphviz-1.1-py2.6-macosx-10.6-universal.egg/pygraphviz/__init__.py", line 54, in <module> from agraph import AGraph, Node, Edge, Attribute, ItemAttribute File "/Library/Python/2.6/site-packages/pygraphviz-1.1-py2.6-macosx-10.6-universal.egg/pygraphviz/agraph.py", line 19, in <module> import graphviz as gv File "/Library/Python/2.6/site-packages/pygraphviz-1.1-py2.6-macosx-10.6-universal.egg/pygraphviz/graphviz.py", line 7, in <module> import _graphviz ImportError: dlopen(/Library/Python/2.6/site-packages/pygraphviz-1.1-py2.6-macosx-10.6-universal.egg/pygraphviz/_graphviz.so, 2): Symbol not found: _Agdirected Referenced from: /Library/Python/2.6/site-packages/pygraphviz-1.1-py2.6-macosx-10.6-universal.egg/pygraphviz/_graphviz.so Expected in: flat namespace in /Library/Python/2.6/site-packages/pygraphviz-1.1-py2.6-macosx-10.6-universal.egg/pygraphviz/_graphviz.so >>> Any suggestions?

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• Is CUDA, cuBLAS or cuBLAS-XT the right place to start with for machine learning?

  - by Stefan R. Falk

  I am not sure if this is the right forum to post this question - but it surely is no question for stackoverflow. I work on my bachelor thesis and therefore I am implementing a so called Echo-State Network which basically is an artificial neural network that has a large reservoir of randomly initialized neurons and just a few input and output neurons .. but I think we can skip that. The thing is, there is a Python library called Theano which I am using for this implementation. It encapsulates the CUDA API and offers a quiet "comfortable" way to access the power of a NVIDIA graphics card. Since CUDA 6.0 there is a sub-library called cuBLAS (Basic Linear Algebra Subroutines) for LinAlg operations and also a cuBLAS-XT an extention which allows to run calculations on multiple graphics cards. My question at this point is if it would make sense to start using cuBLAS and/or cuBLAS-XT right now since the API is quite complex or rather wait for libraries that will build up on those library (such as Theano does on basic CUDA)? If you think this is the wrong place for this question please tell me which one is, thank you.

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• How to prevent parallel builds per build configuration across multiple Build Agents

  - by vanslly

  I have many build configurations in TeamCity, each servicing a large project. In the past if a build is kicked off the Build Agent could be busy for up to 20min! In order to improve throughput I installed a second Build Agent on the same machine such that if a build run is kicked off by say Build Agent 1 and it is busy for 20min and someone from another project makes a change then Build Agent 2 can do the build for the other project without needing to wait on the current build run to finish. All was well until two successive check-ins resulted in both Build Agents running a build for a single build configuration in parallel. Since some resources are shared, IIS directories & databases, I don't want a single build configuration to run on both Build Agents in parallel. How can I ensure a build isn't triggered if a build is currently running for that build configuration on a different build agent? One way seems to involve environmental variables and ensuring a 50/50 split by Build Agent in terms of build configuration compatibility, but that seems a little clunky.

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• OpenMP - running things in parallel and some in sequence within them

  - by Sayan Ghosh

  Hi, I have a scenario like: for (i = 0; i < n; i++) { for (j = 0; j < m; j++) { for (k = 0; k < x; k++) { val = 2*i + j + 4*k if (val != 0) { for(t = 0; t < l; t++) { someFunction((i + t) + someFunction(j + t) + k*t) } } } } } Considering this is block A, Now I have two more similar blocks in my code. I want to put them in parallel, so I used OpenMP pragmas. However I am not able to parallelize it, because I am a tad confused that which variables would be shared and private in this case. If the function call in the inner loop was an operation like sum += x, then I could have added a reduction clause. In general, how would one approach parallelizing a code using OpenMP, when we there is a nested for loop, and then another inner for loop doing the main operation. I tried declaring a parallel region, and then simply putting pragma fors before the blocks, but definitely I am missing a point there! Thanks, Sayan

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• Reading and writing in parallel

  - by Malfist

  I want to be able to read and write a large file in parallel, or if not in parallel, at least in blocks so that I don't use up so much memory. This is my current code: // Define memory stream which will be used to hold encrypted data. MemoryStream memoryStream = new MemoryStream(); // Define cryptographic stream (always use Write mode for encryption). CryptoStream cryptoStream = new CryptoStream(memoryStream, encryptor, CryptoStreamMode.Write); //start encrypting using (BinaryReader reader = new BinaryReader(File.Open(fileIn, FileMode.Open))) { byte[] buffer = new byte[1024 * 1024]; int read = 0; do { read = reader.Read(buffer, 0, buffer.Length); cryptoStream.Write(buffer, 0, read); } while (read == buffer.Length); } // Finish encrypting. cryptoStream.FlushFinalBlock(); // Convert our encrypted data from a memory stream into a byte array. //byte[] cipherTextBytes = memoryStream.ToArray(); //write our memory stream to a file memoryStream.Position = 0; using (BinaryWriter writer = new BinaryWriter(File.Open(fileOut, FileMode.Create))) { byte[] buffer = new byte[1024 * 1024]; int read = 0; do { read = memoryStream.Read(buffer, 0, buffer.Length); writer.Write(buffer, 0, read); } while (read == buffer.Length); } // Close both streams. memoryStream.Close(); cryptoStream.Close(); As you can see, it reads the entire file into memory, encrypts it, then writes it out. If I happen to be encrypting files that are very large (2GB+) it tends not to work, or at the very least, consumes ~97% of my memory. How could I do it in a more effective manner?

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• a problem with parallel.foreach in initializing conversation manager

  - by Adrakadabra

  i use mvc2, nhibernate 2.1.2 in controller class i call foreachParty method like this: OrganizationStructureService.ForEachParty<Department>(department, null, p => { p.AddParentWithoutRemovingExistentAccountability(domainDepartment, AccountabilityTypeDbId.SupervisionDepartmentOfDepartment); } }, x => (!(x.AccountabilityType.Id == (int)AccountabilityTypeDbId.SupervisionDepartmentOfDepartment))); static public void ForEachParty(Party party, PartyTypeDbId? partyType, Action action, Expression expression = null) where T : Party { IList chilrden = new List(); IList acc = party.Children; if (party != null) action(party); if (partyType != null) acc = acc.Where(p => p.Child.PartyTypes.Any(c => c.Id == (int)partyType)).ToList(); if (expression != null) acc = acc.AsQueryable().Where(expression).ToList(); Parallel.ForEach(acc, p => { if (partyType == null) ForEachParty<T>(p.Child, null, action); else ForEachParty<T>(p.Child, partyType, action); }); } but just after executing the action on foreach.parallel, i dont know why the conversation is getting closed and i see "current conversation is not initilized yet or its closed"

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• Storage subsystem borking after server restart (all on a Parallel SCSI bus)

  - by Dat Chu

  I have a server (with a SCSI HBA) connected to two Promise VTrak M310p RAID enclosure on the same bus. Everything is working fine until I have to restart my server. Once restarted, the server can no longer communicate with the enclosures: lots of read errors and bus resets. I have to turn off both enclosure, then turn off the server, then turn on the enclosure, then turn on the server for things to work. I don't believe this is the normal behavior, what could I be missing?

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• Oracle parameter array binding from c# executed parallel and serial on different servers

  - by redir_dev_nut

  I have two Oracle 9i 64 bit servers, dev and prod. Calling a procedure from a c# app with parameter array binding, prod executes the procedure simultaneously for each value in the parameter array, but dev executes for each value serially. So, if the sproc does: select count(*) into cnt from mytable where id = 123; if cnt = 0 then insert into mytable (id) values (123); end if; Assuming the table initially does not have an id = 123 row. Dev gets cnt = 0 for the first array parameter value, then 1 for each of the subsequent. Prod gets cnt = 0 for all array parameter values and inserts id 123 for each. Is this a configuration difference, an illusion due to speed difference, something else?

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• Privoxy-like proxy that handles multiple parallel connections?

  - by overtherainbow

  Hello I use Privoxy on my XP host to filter/rewrite web pages, but it's slower because all connections go through Privoxy's single port. According to this post on StackOverflow, by default, browsers support more than one simultaneous connection, which would explain why going through Privoxy is slower. Does someone know of a similar application that could handle more than one connection? Thank you.

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• How to install Visual Python in Ubuntu 10.04?

  - by Glen

  I am trying to do a Physics problem in python. I need to install visual python because I get the error that it can't find the visual library when I type import visual from * The documentation on the Visual Python site is totally useless. I have gone into synaptic package manger and installed python-visual. But I still get the same error. Can someone please help?

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• Install python-psycopg on Ubuntu 9.10

  - by jack

  How can I install python-psycopg (not python-psycopg2) on Ubuntu 9.10 "apt-get install python-psycopg" returns "Package python-psycopg has no installation candidate" I also downloaded source code at psycopg-1.1.21.tar.gz but didn't found "make" command in the archive.

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• Distributed, Parallel, Fault-tolerant File System

  - by Eddified

  There are so many choices that it's hard to know where to start. My requirements are these: Runs on Linux Most of the files will be between 5-9 MB in size. There will also be a significant number of small-ish jpgs (100px x 100px). All of the files need to be available over http. Redundancy -- ideally it would provide the space efficiency similar to RAID 5 of 75% (in RAID 5 this would be calculated thus: with 4 identical disks, 25% of the space is used for parity = 75% efficent) Must support several petabytes of data scalable runs on commodity hardware In addition, I look for these qualities, though they are not "requirements": Stable, mature file system Lots of momentum and support etc I would like some input as to which file system works best for the given requirements. Some people at my organization are leaning towards MogileFS, but I'm not convinced of the stability and momentum of that project. GlusterFS and Lustre, based on my limited research, appear to be better supported... Thoughts?

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• IIS SMTP server (Installed on local server) in parallel to Google Apps

  - by shaharru

  I am currently using free version of Google Apps for hosting my email.It works great for my official mails my email on Google is [email protected]. In addition I'm sending out high volume mails (registrations, forgotten passwords, newsletters etc) from the website (www.mydomain.com) using IIS SMTP installed on my windows machine. These emails are sent from [email protected] My problem is that when I send email from the website using IIS SMTP to a mail address [email protected] I don’t receive the email to Google apps. (I only receive these emails if I install a pop service on the server with the [email protected] email box). It seems that the IIS SMTP is ignoring the domain MX records and just delivers these emails to my local server. Here are my DNS records for domain.com: mydomain.com A 82.80.200.20 3600s mydomain.com TXT v=spf1 ip4: 82.80.200.20 a mx ptr include:aspmx.googlemail.com ~all mydomain.com MX preference: 10 exchange: aspmx2.googlemail.com 3600s mydomain.com MX preference: 10 exchange: aspmx3.googlemail.com 3600s mydomain.com MX preference: 10 exchange: aspmx4.googlemail.com 3600s mydomain.com MX preference: 10 exchange: aspmx5.googlemail.com 3600s mydomain.com MX preference: 1 exchange: aspmx.l.google.com 3600s mydomain.com MX preference: 5 exchange: alt1.aspmx.l.google.com 3600s mydomain.com MX preference: 5 exchange: alt2.aspmx.l.google.com 3600s Please help! Thanks.

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• What kind of parallel cable is this?

  - by rodey

  I have an HP LaserJet 4600 and need to order a replacement cable for it. Here is a picture of the port on the printer and the cable is currently in use. I've never seen one of this style before. Can anyone provide the type of port this is or a provide a link to a replacement cable? Thanks!

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• proxy software that supports parallel transfer

  - by est

  Hi guys, I need to setup a really fast proxy server in a remote server, here's the scenario: The server prefetches 3KB of data, mostly HTTP resources. The server send to client 3KB of data, instead of traditional HTTP or SOCKS proxy, the server open multithreaded transfer with 3 connections, send 1KB of data per thread to each connection The client receives 1KBx3, and combine them to the original 3KB data, and return as a local HTTP proxy server. The client display the original data in browser via the local HTTP proxy The latency is not important as long as the transfer rate is good. Does any software like this exist? It's better if it's open source or free ones.

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• What is a good modern parallel SSH tool?

  - by faultyserver

  I have heard that pssh and clusterssh are two popular ones, but I thought I would open it to discussion here and see what the community's experiences with these tools were? What are the gotchas? Any decent hacks or use cases?

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• Running php and java in parallel on the same server

  - by manni

  I have got a java server from Rackspace. and I am already running a java application on the server. Now I want to run a php application on the same server. What should I do? When I asked Rackspace people, they said, apache is already installed on the server so I can run the php on it. I have also tried installing php on the server and then copied my php files in var/www/xxx but when I hit the url it is saying giving the page not found error. They have given me the ssh server root username and password. Thanks in advance.

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• Disabling parallel network connections on workstation

  - by sumar

  Is it possible to disable prarallel network connections on workstation, when workstation is connected to corporate LAN? I want to avoid users bypassing Internet access policies by concurently connect to LAN and 3G/Hotspot. We have many developers and they have local administrator rights on workstations. Developers should be able to connect virutual networks (VMware/VirutalPC/Hyper-V/VirutalBox). Other users should be able to use only one network connection concurently.

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• How to set up apache with parallel plesk?

  - by Ran Gualberto

  I'm working with the Windows Server 2008 (a godaddy Windows dedicated server). My problem is that .htaccess is not working in the server. And I just figured out that apache is not installed. I would like to know how to run the apache with the plesk (with existing php setup). And how to run the apache with the current site directory C:\inetpub\vhosts. My goal is to make .htaccess work on the server with plesk and with the directory C:\inetpub\vhosts.

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• Are classes necessary for creating methods (defs) in Python?

  - by Rahul

  Are classes necessary for creating methods (defs) in Python?

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