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  • Python requests - saving cookie for later url usage

    - by PythonRocks
    I been trying to get a cookie and post it to a url in later use in the program, but I cant seem to get the cookie parameters to work. Right now I have response = requests.get("url") But how exactly do I retrive cookies from this url and post them to a new url (the same cookies). The tutorial in requests is somewhat vague on the topic and gives examples I cannot test. Hope someone can help with further examples. This is python 2.7 btw.

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  • Python Parse regex

    - by Nemo
    Let's say I have string in the form given below: myString={"name", "age", "address", "contacts", "Email"} I need to get all the items of myString into a List using python. Here's what I did r= re.search("myString=\{\"(.+)\", $\}", line) if r: items.append(r.group(1)) print(items) Here line is the variable that holds the content of my text file. What change do I have to make to my regex to get all the items in myString? Please kindly help me out. Thanks.

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  • Studying parallel programming

    - by mort
    I'm currently finishing my Bachelor's degree in Computer Science and thinking a lot about which specialisation to choose in my Master's degree. One subject I'm particularly interested in is parallel programming. However, this topic does not seem to be a standard topic in Computer Science degrees, although it is something that is used more and more - new processors nowadays are usually dual or quad cores. So I was wandering: does anybody know a good study program in this field? I was mostly looking for it at universities in Germany, but they tend to combine the application side with some type of engineering or natural science. Thus, programs are more the "Computational Engineering" or "Computational Science" type, but I'm more interested in the Computer Science part of it, i.e. parallel programming, languages and compilers, algorithms and hardware.

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  • python metaprogramming

    - by valya
    I'm trying to archive a task which turns out to be a bit complicated since I'm not very good at Python metaprogramming. I want to have a module locations with function get_location(name), which returns a class defined in a folder locations/ in the file with the name passed to function. Name of a class is something like NameLocation. So, my folder structure: program.py locations/ __init__.py first.py second.py program.py will be smth with with: from locations import get_location location = get_location('first') and the location is a class defined in first.py smth like this: from locations import Location # base class for all locations, defined in __init__ (?) class FirstLocation(Location): pass etc. Okay, I've tried a lot of import and getattribute statements but now I'm bored and surrender. How to archive such behaviour?

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  • bad request error 400 while using python requests.post function

    - by Toussah
    I'm trying to make a simple post request via the requests library of Python and I get a bad request error (400) while my url is supposedly correct since I can use it to perform a get. I'm very new in REST requests, I read many tutorials and documentation but I guess there are still things I don't get so my error could be basic. Maybe a lack of understanding on the type of url I'm supposed to send via POST. Here my code : import requests v_username = "username" v_password = "password" v_headers = {'content-type':'application/rdf+xml'} url = 'https://my.url' params = {'param': 'val_param'} payload = {'data': 'my_data'} r = requests.post(url, params = params, auth=(v_username, v_password), data=payload, headers=v_headers, verify=False) print r I used the example of the requests documentation.

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  • printing parallel over ethernet cable

    - by Crudler
    I have a bit of an interesting challenge :) I have a machine with a parallel printer output, i want it to be able to print instead to a printer in a different room and i know that parallel isnt great over big distances. i found this: http://www.amazon.com/over-Cat5-Extension-Cable-Adapter/dp/B002WJ9S6Y%3FSubscriptionId%3DAKIAINHICTCYYZGJWT4Q%26tag%3Dusbprintercables.net-20%26linkCode%3Dxm2%26camp%3D2025%26creative%3D165953%26creativeASIN%3DB002WJ9S6Y which will let me connect over cat5, but its usb to cat 5. my machine can only output on parallel (its not a computer) so what i was thinking of getting is a parallel(f) to usb and usb to parallel (M) for either side i.e. machine - parallel - usb - cat5 - usb - parallel -printer just seems a bit messy :) suggestions? another thing i would like to try is to get rid of the old school parallel printer and instead use a network based multi function. would this be possible? i.e. machine - parallel -usb - cat5 - ethernet print server - network printer this might be rougher because the machine cannot "know" that we are using a network printer. it can ONLY print to LPT1 Thanks!

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  • Bit by bit comparison of using Java or Python for unit testing frameworks and Selenium

    - by Anirudh
    Currently we are in the process of finalizing which language out of Java, Python should be used for Automation using selenium webdriver and a suitable unit testing frameworks. I have made use of Junit, TestNG and webdriver while using with Java and have designed frameworks without much fuss before. I am new to python though I came across pyhton's unit testing frameworks like unittest, pyunit, nose e.t.c but I have doubts if they would be as successful as testNG or Java. I would like to analyze point by point when used with selenium webdriver as below: 1)I have read that as Python is an interpreted language hence it's execution is slower, so say if I have to run 1000 test cases which take about 6 hours to run in Java, would python take considerably longer time for the same test cases like 8 hours? 2)Can the Python unit testing framework be as flexible as a Java unit testing framework like testNG in terms or Grouping the tests, parallel execution, skipping test. e.t.c 3)Also one point that I think of is that Python with selenium webdriver doeasn't have as big or learned community as we have for Java with webdriver, say if I run into trouble with something I am more likely to find an answer for Java as compared to python? 4)Somewhat related to point 3, is it safe to rely on tools, plugins or even webderiver's python's binding as a continuously well maintained? 5)One major drawback as I see while using python's unit testing framework is lack of boilerplate code or libraries for nicely illustrative HTML reports preferably historical reports with Pie charts, bar graphs and timelines as we have in case of Java like Allure, TestNG's default reports, reportNG or Junit reports with the help of ANT as shown below Allure Reports Junit Historical reports Also I would like to emphasize on the fact if there is a way for one to write the framework in java and make libraries or utilities according to out application in webdriver which can easily be called or integrated in with python code or modules? That would actually solve the problem for us as the client would be able to use the code we write in Java and make use of the same or call it from their python modules?

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  • Python - Calling a non python program from python?

    - by Seafoid
    Hi, I am currently struggling to call a non python program from a python script. I have a ~1000 files that when passed through this C++ program will generate ~1000 outputs. Each output file must have a distinct name. The command I wish to run is of the form: program_name -input -output -o1 -o2 -o3 To date I have tried: import os cwd = os.getcwd() files = os.listdir(cwd) required_files = [] for i in file: if i.endswith('.ttp'): required_files.append(i) So, I have an array of the neccesary files. My problem - how do I iterate over the array and for each entry, pass it to the above command (program_name) as an argument and specify a unique output id for each file? Much appreciated, S :-)

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  • Python regex to parse text file, get the items in list and count the list

    - by Nemo
    I have a text file which contains some data. I m particularly interested in finding the count of the number of items in v_dims v_dims pattern in my text file looks like this : v_dims={ "Sales", "Product Family", "Sales Organization", "Region", "Sales Area", "Sales office", "Sales Division", "Sales Person", "Sales Channel", "Sales Order Type", "Sales Number", "Sales Person", "Sales Quantity", "Sales Amount" } So I m thinking of getting all the elements in v_dims and dumping them out in a Python list. Then compute the len(mylist) to get the count of the items. The challenge is in getting all the elements of v_dims from my text file and putting them in an empty list. I m particularly interested in items in v_dims in my text file. The text file has data in the form of v_dims pattern i showed in my original post. Some data has nested patterns of v_dims. Thanks. Here's what I have tried and failed. Any help is appreciated. TIA. import re fname = "C:\Users\XXXX\Test.mrk" with open(fname, "r") as fo: content_as_string = fo.read() match = re.findall(r'v_dims={\"(.+?)\"}',content_as_string) Though I have a big text file, Here's a snippet of what's the structure of my text file version "1"; // Computer generated object language file object 'MRKR' "Main" { Data_Type=2, HeaderBlock={ Version_String="6.3 (25)" }, Printer_Info={ Orientation=0, Page_Width=8.50000000, Page_Height=11.00000000, Page_Header="", Page_Footer="", Margin_type=0, Top_Margin=0.50000000, Left_Margin=0.50000000, Bottom_Margin=0.50000000, Right_Margin=0.50000000 }, Marker_Options={ Close_All="TRUE", Hide_Console="FALSE", Console_Left="FALSE", Console_Width=217, Main_Style="Maximized", MDI_Rect={ 0, 0, 892, 1063 } }, Dives={ { Dive="A", Windows={ { View_Index=0, Window_Info={ Window_Rect={ 0, -288, 400, 1008 }, Window_Style="Maximized Front", Window_Name="Theater [Previous Qtr Diveplan-Dive A]" }, Dependent_bool="FALSE", Colset={ Dive_Type="Normal", Dimension_Name="Theater", Action_List={ Actions={ { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater" }, Key_Indexes={ { "AMERICAS" } } }, { Action_Type="Focus", Focus_Rows="True" }, { Action_Type="Dimensions", v_dims={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag", "Product Item Family" }, Xtab_Bool="False", Xtab_Flip="False" }, { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag" }, Key_Indexes={ { "AMERICAS", "ATMOS", "Latin America CS Division", "37000 CS Region", "Mexico", "", "", "", "", "DIRECT", "EMC", "N", "0" } } } } }, Num_Palette_cols=0, Num_Palette_rows=0 }, Format={ Window_Type="Tabular", Tabular={ Num_row_labels=8 } } } } } }, Widget_Set={ Widget_Layout="Vertical", Go_Button=1, Picklist_Width=0, Sort_Subset_Dimensions="TRUE", Order={ } }, Views={ { Data_Type=1, dbname="Previous Qtr Diveplan", diveline_dbname="Current Qtr Diveplan", logical_name="Current Qtr Diveplan", cols={ { name="Total TSS installs", column_type="Calc[Total TSS installs]", output_type="Number", format_string="." }, { name="TSS Valid Connectivity Records", column_type="Calc[TSS Valid Connectivity Records]", output_type="Number", format_string="." }, { name="% TSS Connectivity Record", column_type="Calc[% TSS Connectivity Record]", output_type="Number" }, { name="TSS Not Applicable", column_type="Calc[TSS Not Applicable]", output_type="Number", format_string="." }, { name="TSS Customer Refusals", column_type="Calc[TSS Customer Refusals]", output_type="Number", format_string="." }, { name="% TSS Refusals", column_type="Calc[% TSS Refusals]", output_type="Number" }, { name="TSS Eligible for Physical Connectivity", column_type="Calc[TSS Eligible for Physical Connectivity]", output_type="Number", format_string="." }, { name="TSS Boxes with Physical Connectivty", column_type="Calc[TSS Boxes with Physical Connectivty]", output_type="Number", format_string="." }, { name="% TSS Physical Connectivity", column_type="Calc[% TSS Physical Connectivity]", output_type="Number" } }, dim_cols={ { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Connect In Type", column_type="Dimension[Connect In Type]", output_type="None" }, { name="Connect Home Type", column_type="Dimension[Connect Home Type]", output_type="None" }, { name="SymmConnect Enabled", column_type="Dimension[SymmConnect Enabled]", output_type="None" }, { name="Theater", column_type="Dimension[Theater]", output_type="None" }, { name="Division", column_type="Dimension[Division]", output_type="None" }, { name="Region", column_type="Dimension[Region]", output_type="None" }, { name="Sales Order Number", column_type="Dimension[Sales Order Number]", output_type="None" }, { name="Product Item Family", column_type="Dimension[Product Item Family]", output_type="None" }, { name="Item Serial Number", column_type="Dimension[Item Serial Number]", output_type="None" }, { name="Sales Order Deal Number", column_type="Dimension[Sales Order Deal Number]", output_type="None" }, { name="Item Install Date", column_type="Dimension[Item Install Date]", output_type="None" }, { name="SYR Last Dial Home Date", column_type="Dimension[SYR Last Dial Home Date]", output_type="None" }, { name="Maintained By Group", column_type="Dimension[Maintained By Group]", output_type="None" }, { name="PS Flag", column_type="Dimension[PS Flag]", output_type="None" }, { name="Connect Home Refusal Reason", column_type="Dimension[Connect Home Refusal Reason]", output_type="None", col_width=177 }, { name="Cust Name", column_type="Dimension[Cust Name]", output_type="None" }, { name="Sales Order Channel Type", column_type="Dimension[Sales Order Channel Type]", output_type="None" }, { name="Sales Order Type", column_type="Dimension[Sales Order Type]", output_type="None" }, { name="Part Model Key", column_type="Dimension[Part Model Key]", output_type="None" }, { name="Ship Date", column_type="Dimension[Ship Date]", output_type="None" }, { name="Model Number", column_type="Dimension[Model Number]", output_type="None" }, { name="Item Description", column_type="Dimension[Item Description]", output_type="None" }, { name="Customer Classification", column_type="Dimension[Customer Classification]", output_type="None" }, { name="CS Customer Name", column_type="Dimension[CS Customer Name]", output_type="None" }, { name="Install At Customer Number", column_type="Dimension[Install At Customer Number]", output_type="None" }, { name="Install at Country Name", column_type="Dimension[Install at Country Name]", output_type="None" }, { name="TLA Serial Number", column_type="Dimension[TLA Serial Number]", output_type="None" }, { name="Product Version", column_type="Dimension[Product Version]", output_type="None" }, { name="Avalanche Flag", column_type="Dimension[Avalanche Flag]", output_type="None" }, { name="Product Family", column_type="Dimension[Product Family]", output_type="None" }, { name="Project Number", column_type="Dimension[Project Number]", output_type="None" }, { name="PROJECT_STATUS", column_type="Dimension[PROJECT_STATUS]", output_type="None" } }, Available_Columns={ "Total TSS installs", "TSS Valid Connectivity Records", "% TSS Connectivity Record", "TSS Not Applicable", "TSS Customer Refusals", "% TSS Refusals", "TSS Eligible for Physical Connectivity", "TSS Boxes with Physical Connectivty", "% TSS Physical Connectivity", "Total Installs", "All Boxes with Valid Connectivty Record", "% All Connectivity Record", "Overall Refusals", "Overall Refusals %", "All Eligible for Physical Connectivty", "Boxes with Physical Connectivity", "% All with Physical Conectivity" }, Remaining_columns={ { name="Total Installs", column_type="Calc[Total Installs]", output_type="Number", format_string="." }, { name="All Boxes with Valid Connectivty Record", column_type="Calc[All Boxes with Valid Connectivty Record]", output_type="Number", format_string="." }, { name="% All Connectivity Record", column_type="Calc[% All Connectivity Record]", output_type="Number" }, { name="Overall Refusals", column_type="Calc[Overall Refusals]", output_type="Number", format_string="." }, { name="Overall Refusals %", column_type="Calc[Overall Refusals %]", output_type="Number" }, { name="All Eligible for Physical Connectivty", column_type="Calc[All Eligible for Physical Connectivty]", output_type="Number" }, { name="Boxes with Physical Connectivity", column_type="Calc[Boxes with Physical Connectivity]", output_type="Number" }, { name="% All with Physical Conectivity", column_type="Calc[% All with Physical Conectivity]", output_type="Number" } }, calcs={ { name="Total TSS installs", definition="Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Valid Connectivity Records", definition="Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% TSS Connectivity Record", definition="Total[PS Boxes w/ valid connectivity record (1=yes)] /Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Not Applicable", definition="Total[Bozes w/ valid connectivity record (1=yes)]-Total[Boxes Eligible (1=yes)]-Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="TSS Customer Refusals", definition="Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="% TSS Refusals", definition="Total[TSS Refusals]/Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="TSS Eligible for Physical Connectivity", definition="Total[TSS Eligible]-Total[Exception]", ts_flag="Not TS Calc" }, { name="TSS Boxes with Physical Connectivty", definition="Total[PS Physical Connectivity] - Total[PS Physical Connectivity, SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% TSS Physical Connectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" }, { name="Total Installs", definition="Total[Total Installs]", ts_flag="Not TS Calc" }, { name="All Boxes with Valid Connectivty Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% All Connectivity Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]/Total[Total Installs]", ts_flag="Not TS Calc" }, { name="Overall Refusals", definition="Total[Overall Refusals]", ts_flag="Not TS Calc" }, { name="Overall Refusals %", definition="Total[Overall Refusals]/Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="All Eligible for Physical Connectivty", definition="Total[Boxes Eligible (1=yes)]-Total[Exception]", ts_flag="Not TS Calc" }, { name="Boxes with Physical Connectivity", definition="Total[Boxes w/ phys conn]-Total[Boxes w/ phys conn,SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% All with Physical Conectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" } }, merge_type="consolidate", merge_dbs={ { dbname="connectivityallproducts.mdl", diveline_dbname="/DI_PSREPORTING/connectivityallproducts.mdl" } }, skip_constant_columns="FALSE", categories={ { name="Geography", dimensions={ "Theater", "Division", "Region", "Install at Country Name" } }, { name="Mappings and Flags", dimensions={ "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "Customer Installable", "PS Flag", "Top Level Flag", "Avalanche Flag" } }, { name="Product Information", dimensions={ "Product Family", "Product Item Family", "Product Version", "Item Description" } }, { name="Sales Order Info", dimensions={ "Sales Order Deal Number", "Sales Order Number", "Sales Order Type" } }, { name="Dates", dimensions={ "Item Install Date", "Ship Date", "SYR Last Dial Home Date" } }, { name="Details", dimensions={ "Item Serial Number", "TLA Serial Number", "Part Model Key", "Model Number" } }, { name="Customer Infor", dimensions={ "CS Customer Name", "Install At Customer Number", "Customer Classification", "Cust Name" } }, { name="Other Dimensions", dimensions={ "Model" } } }, Maintain_Category_Order="FALSE", popup_info="false" } } };

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  • MacPorts pHash not showing up in Python

    - by Nitzan Wilnai
    I am having a problem where python does not show pHash installed even though I installed it using macports. I made sure I am using the MacPorts version of Python by doing: sudo port select --set python python27 I then installed pHash by doing: sudo port install pHash. It installed without any errors. When I call help('modules'), I do not see pHash listed among the installed packages. Any ideas on why python is not seeing the pHash install by MacPorts? Calling port select --list python shows the following: Available versions for python: none python25-apple python26-apple python27 (active) python27-apple Printing out sys.path outputs the following: (reformatted to make it easier to read here) ['/Library/Python/2.7/site-packages/boto-2.9.9-py2.7.egg', '/Library/Python/2.7/site-packages/setuptools-0.9.8-py2.7.egg', '/Library/Python/2.7/site-packages/pip-1.4.1-py2.7.egg', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python27.zip', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-old', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload', '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages', '/Library/Python/2.7/site-packages'] Can anyone help? Thanks.

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  • Errors related to python version added to error log when I start apache2

    - by Jean-Nicolas Boulay Desjardins
    When I start apache I am getting those errors: [Tue Jun 14 02:28:58 2011] [error] python_init: Python version mismatch, expected '2.6.5', found '2.6.6'. [Tue Jun 14 02:28:58 2011] [error] python_init: Python executable found '/usr/bin/python'. [Tue Jun 14 02:28:58 2011] [error] python_init: Python path being used '/usr/lib/python2.6/:/usr/lib/python2.6/plat-linux2:/usr/lib/python2.6/lib-tk:/usr/lib/python2.6/lib-old:/usr/lib/python2.6/lib-dynload'. [Tue Jun 14 02:28:58 2011] [notice] mod_python: Creating 8 session mutexes based on 150 max processes and 0 max threads. [Tue Jun 14 02:28:58 2011] [notice] mod_python: using mutex_directory /tmp [Tue Jun 14 02:28:58 2011] [notice] Apache/2.2.16 (Ubuntu) PHP/5.3.3-1ubuntu9.5 with Suhosin-Patch mod_python/3.3.1 Python/2.6.6 configured -- resuming normal operations I am using Ubuntu Server... Thanks in advance for any help.

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  • Python and Ruby in Tuxedo

    - by Maurice Gamanho
    With the release of SALT 11gR1, you can now develop Python/Ruby services/applications on Oracle Tuxedo platform. Python functions or Ruby classes can be invoked as Tuxedo services by other Tuxedo services or clients and, in addition, Python/Ruby applications can invoke existing Tuxedo services. SALT 11gR1 combines the proven scalability, reliability and performance of the Tuxedo runtime infrastructure with the agility provided by these dynamic scripting languages, providing a highly available and almost linearly scalable platform for Python and Ruby application development. Another benefit of developing Python and Ruby applications with Tuxedo is that services are SOA enabled from inception by virtue of Tuxedo's comprehensive integration options with J2EE app servers, mainframe applications, Web services, etc. Other interesting features are dynamic re-loading of scripts, where script changes are picked up automatically or when the administrator decides, and server-side typing, where Python functions and Ruby classes are given interfaces by way of the Tuxedo Metadata Repository. More information can be found on the Oracle SALT 11gR1 documentation page. See also SCA Python and Ruby Programming and Python and Ruby Data Type Mapping.

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  • ubuntu 12.04 python problem or?

    - by Trki
    Hi i am trying to fix this for a long time but without success. When i open my zsh terminal i get this error: (terminal is working but error appear) Welcome to the world of tomorrow! virtualenvwrapper_run_hook:12: permission denied: virtualenvwrapper.sh: There was a problem running the initialization hooks. If Python could not import the module virtualenvwrapper.hook_loader, check that virtualenv has been installed for VIRTUALENVWRAPPER_PYTHON= and that PATH is set properly. I tried few things but... dont know how to solve it. Somehow during looking for a search i found i should post here an output of: ? sudo dpkg --configure -a Setting up python-pip (1.0-1build1) ... /var/lib/dpkg/info/python-pip.postinst: 6: /var/lib/dpkg/info/python-pip.postinst: pycompile: not found dpkg: error processing python-pip (--configure): subprocess installed post-installation script returned error exit status 127 Setting up libc-dev-bin (2.15-0ubuntu10.5) ... Setting up gnome-control-center-data (1:3.4.2-0ubuntu0.13) ... Setting up linux-libc-dev (3.2.0-56.86) ... Setting up python-virtualenv (1.7.1.2-1) ... /var/lib/dpkg/info/python-virtualenv.postinst: 6: /var/lib/dpkg/info/python-virtualenv.postinst: pycompile: not found dpkg: error processing python-virtualenv (--configure): subprocess installed post-installation script returned error exit status 127 Setting up libglib2.0-0 (2.32.4-0ubuntu1) ... Setting up libglib2.0-0:i386 (2.32.4-0ubuntu1) ... Setting up gimp (2.6.12-1ubuntu1.2) ... /var/lib/dpkg/info/gimp.postinst: 11: /var/lib/dpkg/info/gimp.postinst: pycompile: not found dpkg: error processing gimp (--configure): subprocess installed post-installation script returned error exit status 127 Setting up libpolkit-gobject-1-0 (0.104-1ubuntu1.1) ... Setting up libgnome-control-center1 (1:3.4.2-0ubuntu0.13) ... Setting up libnm-util2 (0.9.4.0-0ubuntu4.3) ... Setting up libc6-dev (2.15-0ubuntu10.5) ... Setting up libpulse-mainloop-glib0 (1:1.1-0ubuntu15.4) ... dpkg: dependency problems prevent configuration of virtualenvwrapper: virtualenvwrapper depends on python-virtualenv; however: Package python-virtualenv is not configured yet. dpkg: error processing virtualenvwrapper (--configure): dependency problems - leaving unconfigured Setting up libpolkit-agent-1-0 (0.104-1ubuntu1.1) ... Setting up libupower-glib1 (0.9.15-3git1ubuntu0.1) ... Setting up libaccountsservice0 (0.6.15-2ubuntu9.6.1) ... Setting up libpolkit-backend-1-0 (0.104-1ubuntu1.1) ... Setting up libglib2.0-bin (2.32.4-0ubuntu1) ... Setting up libnm-glib4 (0.9.4.0-0ubuntu4.3) ... Setting up policykit-1 (0.104-1ubuntu1.1) ... Setting up gnome-settings-daemon (3.4.2-0ubuntu0.6.4) ... Setting up accountsservice (0.6.15-2ubuntu9.6.1) ... dpkg: error processing ubuntu-system-service (--configure): Package is in a very bad inconsistent state - you should reinstall it before attempting configuration. Processing triggers for libc-bin ... ldconfig deferred processing now taking place Errors were encountered while processing: python-pip python-virtualenv gimp virtualenvwrapper ubuntu-system-service Also: ? python --version zsh: command not found: python Part of my ~/.zshrc # python virtual env wrapper if [ -f ~/.local/bin/virtualenvwrapper.sh ]; then export WORKON_HOME=~/.virtualenvs source ~/.local/bin/virtualenvwrapper.sh plugins=("${plugins[@]}" virtualenvwrapper) fi # pythonbrew [[ -s ~/.pythonbrew/etc/bashrc ]] && source ~/.pythonbrew/etc/bashrc Part os zsh -xv # # Invoke the initialization functions # virtualenvwrapper_initialize +/home/trki/.local/bin/virtualenvwrapper.sh:1179> virtualenvwrapper_initialize +virtualenvwrapper_initialize:1> virtualenvwrapper_derive_workon_home +virtualenvwrapper_derive_workon_home:1> typeset 'workon_home_dir=/home/trki/.virtualenvs' +virtualenvwrapper_derive_workon_home:5> [ /home/trki/.virtualenvs '=' '' ']' +virtualenvwrapper_derive_workon_home:12> echo /home/trki/.virtualenvs +virtualenvwrapper_derive_workon_home:12> unset GREP_OPTIONS +virtualenvwrapper_derive_workon_home:12> grep '^[^/~]' +virtualenvwrapper_derive_workon_home:21> echo /home/trki/.virtualenvs +virtualenvwrapper_derive_workon_home:21> unset GREP_OPTIONS +virtualenvwrapper_derive_workon_home:21> egrep '([\$~]|//)' +virtualenvwrapper_derive_workon_home:30> echo /home/trki/.virtualenvs +virtualenvwrapper_derive_workon_home:31> return 0 +virtualenvwrapper_initialize:1> export 'WORKON_HOME=/home/trki/.virtualenvs' +virtualenvwrapper_initialize:3> virtualenvwrapper_verify_workon_home -q +virtualenvwrapper_verify_workon_home:1> RC=0 +virtualenvwrapper_verify_workon_home:2> [ ! -d /home/trki/.virtualenvs/ ']' +virtualenvwrapper_verify_workon_home:11> return 0 +virtualenvwrapper_initialize:6> [ /home/trki/.virtualenvs '=' '' ']' +virtualenvwrapper_initialize:11> virtualenvwrapper_run_hook initialize +virtualenvwrapper_run_hook:1> typeset hook_script +virtualenvwrapper_run_hook:2> typeset result +virtualenvwrapper_run_hook:4> hook_script=+virtualenvwrapper_run_hook:4> virtualenvwrapper_tempfile initialize-hook +virtualenvwrapper_tempfile:2> typeset 'suffix=initialize-hook' +virtualenvwrapper_tempfile:3> typeset file +virtualenvwrapper_tempfile:5> file=+virtualenvwrapper_tempfile:5> virtualenvwrapper_mktemp -t virtualenvwrapper-initialize-hook-XXXXXXXXXX +virtualenvwrapper_mktemp:1> mktemp -t virtualenvwrapper-initialize-hook-XXXXXXXXXX +virtualenvwrapper_tempfile:5> file=/tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_tempfile:6> [ 0 -ne 0 ']' +virtualenvwrapper_tempfile:6> [ -z /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 ']' +virtualenvwrapper_tempfile:6> [ ! -f /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 ']' +virtualenvwrapper_tempfile:11> echo /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_tempfile:12> return 0 +virtualenvwrapper_run_hook:4> hook_script=/tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_run_hook:11> cd /home/trki/.virtualenvs +cd:1> [[ x/home/trki/.virtualenvs == x... ]] +cd:3> [[ x/home/trki/.virtualenvs == x.... ]] +cd:5> [[ x/home/trki/.virtualenvs == x..... ]] +cd:7> [[ x/home/trki/.virtualenvs == x...... ]] +cd:9> [ -d /home/trki/.autoenv ']' +cd:13> cd /home/trki/.virtualenvs +virtualenvwrapper_run_hook:12> '' -m virtualenvwrapper.hook_loader --script /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 initialize virtualenvwrapper_run_hook:12: permission denied: +virtualenvwrapper_run_hook:15> result=126 +virtualenvwrapper_run_hook:17> [ 126 -eq 0 ']' +virtualenvwrapper_run_hook:27> [ initialize '=' initialize ']' +virtualenvwrapper_run_hook:29> cat - virtualenvwrapper.sh: There was a problem running the initialization hooks. If Python could not import the module virtualenvwrapper.hook_loader, check that virtualenv has been installed for VIRTUALENVWRAPPER_PYTHON= and that PATH is set properly. +virtualenvwrapper_run_hook:38> rm -f /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_run_hook:39> return 126 +virtualenvwrapper_initialize:13> virtualenvwrapper_setup_tab_completion +virtualenvwrapper_setup_tab_completion:1> [ -n '' ']' +virtualenvwrapper_setup_tab_completion:20> [ -n 4.3.17 ']' +virtualenvwrapper_setup_tab_completion:30> compctl -K _virtualenvs workon rmvirtualenv cpvirtualenv showvirtualenv +virtualenvwrapper_setup_tab_completion:31> compctl -K _cdvirtualenv_complete cdvirtualenv +virtualenvwrapper_setup_tab_completion:32> compctl -K _cdsitepackages_complete cdsitepackages +virtualenvwrapper_initialize:15> return 0 +/home/trki/.zshrc:17> plugins=( git python django symfony2 zsh-syntax-highlighting composer history-substring-search virtualenvwrapper ) # pythonbrew [[ -s ~/.pythonbrew/etc/bashrc ]] && source ~/.pythonbrew/etc/bashrc +/home/trki/.zshrc:21> [[ -s /home/trki/.pythonbrew/etc/bashrc ]] Also when i try to open ubuntu software center absolutly nothing happens. No idea what to do now.

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  • Tkinter on Ubuntu 14.04 seems not to work

    - by empedokles
    I receive following Traceback: Traceback (most recent call last): File "tkinter_basic_frame.py", line 4, in <module> from Tkinter import Tk, Frame, BOTH File "/usr/lib/python2.7/lib-tk/Tkinter.py", line 42, in raise ImportError, str(msg) + ', please install the python-tk package' ImportError: No module named _tkinter, please install the python-tk package This is the demoscript I'm trying to run: #!/usr/bin/python # -*- coding: utf-8 -*- from Tkinter import Tk, Frame, BOTH class Example(Frame): def __init__(self, parent): Frame.__init__(self, parent, background="white") self.parent = parent self.initUI() def initUI(self): self.parent.title("Simple") self.pack(fill=BOTH, expand=1) def main(): root = Tk() root.geometry("250x150+300+300") app = Example(root) root.mainloop() if __name__ == '__main__': main() From my knowledge Tkinter should be included in Python 2.7. Why do I receive the traceback? Doesn't ubuntu contain the standard-python-distribution? This is solved. I had to install it manually in synaptic (got the hint in the meantime from another forum), see here: Wikipedia says: "Tkinter is a Python binding to the Tk GUI toolkit. It is the standard Python interface to the Tk GUI toolkit1 and is Python's de facto standard GUI,2 and is included with the standard Windows and Mac OS X install of Python." - Not good, that it isn't included in Ubuntu as well. Tkinter on Wikipedia

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  • python/pip error on osx

    - by Ibrahim Chawa
    I've recently purchased a new hard drive and installed a clean copy of OS X Mavericks. I installed python using homebrew and i need to create a python virtual environment. But when ever i try to run any command using pip, I get this error. I haven't been able to find a solution online for this problem. Any reference would be appreciated. Here is the error I'm getting. ERROR:root:code for hash md5 was not found. Traceback (most recent call last): File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 139, in <module> globals()[__func_name] = __get_hash(__func_name) File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 91, in __get_builtin_constructor raise ValueError('unsupported hash type ' + name) ValueError: unsupported hash type md5 ERROR:root:code for hash sha1 was not found. Traceback (most recent call last): File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 139, in <module> globals()[__func_name] = __get_hash(__func_name) File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 91, in __get_builtin_constructor raise ValueError('unsupported hash type ' + name) ValueError: unsupported hash type sha1 ERROR:root:code for hash sha224 was not found. Traceback (most recent call last): File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 139, in <module> globals()[__func_name] = __get_hash(__func_name) File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 91, in __get_builtin_constructor raise ValueError('unsupported hash type ' + name) ValueError: unsupported hash type sha224 ERROR:root:code for hash sha256 was not found. Traceback (most recent call last): File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 139, in <module> globals()[__func_name] = __get_hash(__func_name) File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 91, in __get_builtin_constructor raise ValueError('unsupported hash type ' + name) ValueError: unsupported hash type sha256 ERROR:root:code for hash sha384 was not found. Traceback (most recent call last): File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 139, in <module> globals()[__func_name] = __get_hash(__func_name) File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 91, in __get_builtin_constructor raise ValueError('unsupported hash type ' + name) ValueError: unsupported hash type sha384 ERROR:root:code for hash sha512 was not found. Traceback (most recent call last): File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 139, in <module> globals()[__func_name] = __get_hash(__func_name) File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/hashlib.py", line 91, in __get_builtin_constructor raise ValueError('unsupported hash type ' + name) ValueError: unsupported hash type sha512 Traceback (most recent call last): File "/usr/local/bin/pip", line 9, in <module> load_entry_point('pip==1.5.6', 'console_scripts', 'pip')() File "build/bdist.macosx-10.9-x86_64/egg/pkg_resources.py", line 356, in load_entry_point File "build/bdist.macosx-10.9-x86_64/egg/pkg_resources.py", line 2439, in load_entry_point File "build/bdist.macosx-10.9-x86_64/egg/pkg_resources.py", line 2155, in load File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pip-1.5.6-py2.7.egg/pip/__init__.py", line 10, in <module> from pip.util import get_installed_distributions, get_prog File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pip-1.5.6-py2.7.egg/pip/util.py", line 18, in <module> from pip._vendor.distlib import version File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pip-1.5.6-py2.7.egg/pip/_vendor/distlib/version.py", line 14, in <module> from .compat import string_types File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pip-1.5.6-py2.7.egg/pip/_vendor/distlib/compat.py", line 31, in <module> from urllib2 import (Request, urlopen, URLError, HTTPError, ImportError: cannot import name HTTPSHandler If you need any extra information from me let me know, this is my first time posting a question here. Thanks.

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  • Python - Code snippet not working on Python 2.5.6, using IDLE

    - by Francisco P.
    Hello, everyone I am using a piece of self-modifying code for a college project. Here it is: import datetime import inspect import re import sys def main(): # print the time it is last run lastrun = 'Mon Jun 8 16:31:27 2009' print "This program was last run at ", print lastrun # read in the source code of itself srcfile = inspect.getsourcefile(sys.modules[__name__]) f = open(srcfile, 'r') src = f.read() f.close() # modify the embedded timestamp timestamp = datetime.datetime.ctime(datetime.datetime.now()) match = re.search("lastrun = '(.*)'", src) if match: src = src[:match.start(1)] + timestamp + src[match.end(1):] # write the source code back f = open(srcfile, 'w') f.write(src) f.close() if __name__=='__main__': main() Unfortunately, it doesn't work. Error returned: # This is the script's output This program is last run at Mon Jun 8 16:31:27 2009 # This is the error message Traceback (most recent call last): File "C:\Users\Rui Gomes\Desktop\teste.py", line 30, in <module> main() File "C:\Users\Rui Gomes\Desktop\teste.py", line 13, in main srcfile = inspect.getsourcefile(sys.modules[__name__]) File "C:\Python31\lib\inspect.py", line 439, in getsourcefile filename = getfile(object) File "C:\Python31\lib\inspect.py", line 401, in getfile raise TypeError('{!r} is a built-in module'.format(object)) TypeError: <module '__main__' (built-in)> is a built-in module I'd be thankful for any solutions.

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  • Which parallel pattern to use?

    - by Wim Van Houts
    I need to write a server application that fetches mails from different mail servers/mailboxes and then needs to process/analyze these mails. Traditionally, I would do this multi-threaded, launching a thread for fetching mails (or maybe one per mailbox) and then process the mails. We are moving more and more to servers where we have 8+ cores, so I would like to make use of these cores as much as possible (and not use 1 at 100% and leave the seven others untouched). So conceptually, as an example, it would be nice that I could write the application in such a way that two cores are "continuously" fetching emails and four cores are "continuously" processing/analyzing the emails (since processing and analyzing mails is more CPU intensive than fetching mails). This seems like a good concept, but after studying some parallel patterns, I'm not really sure how this is best implemented. None of the patterns really fit. I'm working in VS2012, native C++, but I guess from a design point of view this does not really matter and just some pointers on how to organize this would be great!

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  • Java Parallel Programming

    - by user578524
    Dear All, I need to parallelize a CPU intensive Java application on my multicore desktop but I am not so comfortable with threads programming. I looked at Scala but this would imply learning a new language which is really time consuming. I also looked at Ateji PX Java parallel extensions which seem very easy to use but did not have a chance yet to evaluate it. Would anyone recommend it? Other suggestions welcome. Thanks in advance for your help Bill

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  • Solving embarassingly parallel problems using Python multiprocessing

    - by gotgenes
    How does one use multiprocessing to tackle embarrassingly parallel problems? Embarassingly parallel problems typically consist of three basic parts: Read input data (from a file, database, tcp connection, etc.). Run calculations on the input data, where each calculation is independent of any other calculation. Write results of calculations (to a file, database, tcp connection, etc.). We can parallelize the program in two dimensions: Part 2 can run on multiple cores, since each calculation is independent; order of processing doesn't matter. Each part can run independently. Part 1 can place data on an input queue, part 2 can pull data off the input queue and put results onto an output queue, and part 3 can pull results off the output queue and write them out. This seems a most basic pattern in concurrent programming, but I am still lost in trying to solve it, so let's write a canonical example to illustrate how this is done using multiprocessing. Here is the example problem: Given a CSV file with rows of integers as input, compute their sums. Separate the problem into three parts, which can all run in parallel: Process the input file into raw data (lists/iterables of integers) Calculate the sums of the data, in parallel Output the sums Below is traditional, single-process bound Python program which solves these three tasks: #!/usr/bin/env python # -*- coding: UTF-8 -*- # basicsums.py """A program that reads integer values from a CSV file and writes out their sums to another CSV file. """ import csv import optparse import sys def make_cli_parser(): """Make the command line interface parser.""" usage = "\n\n".join(["python %prog INPUT_CSV OUTPUT_CSV", __doc__, """ ARGUMENTS: INPUT_CSV: an input CSV file with rows of numbers OUTPUT_CSV: an output file that will contain the sums\ """]) cli_parser = optparse.OptionParser(usage) return cli_parser def parse_input_csv(csvfile): """Parses the input CSV and yields tuples with the index of the row as the first element, and the integers of the row as the second element. The index is zero-index based. :Parameters: - `csvfile`: a `csv.reader` instance """ for i, row in enumerate(csvfile): row = [int(entry) for entry in row] yield i, row def sum_rows(rows): """Yields a tuple with the index of each input list of integers as the first element, and the sum of the list of integers as the second element. The index is zero-index based. :Parameters: - `rows`: an iterable of tuples, with the index of the original row as the first element, and a list of integers as the second element """ for i, row in rows: yield i, sum(row) def write_results(csvfile, results): """Writes a series of results to an outfile, where the first column is the index of the original row of data, and the second column is the result of the calculation. The index is zero-index based. :Parameters: - `csvfile`: a `csv.writer` instance to which to write results - `results`: an iterable of tuples, with the index (zero-based) of the original row as the first element, and the calculated result from that row as the second element """ for result_row in results: csvfile.writerow(result_row) def main(argv): cli_parser = make_cli_parser() opts, args = cli_parser.parse_args(argv) if len(args) != 2: cli_parser.error("Please provide an input file and output file.") infile = open(args[0]) in_csvfile = csv.reader(infile) outfile = open(args[1], 'w') out_csvfile = csv.writer(outfile) # gets an iterable of rows that's not yet evaluated input_rows = parse_input_csv(in_csvfile) # sends the rows iterable to sum_rows() for results iterable, but # still not evaluated result_rows = sum_rows(input_rows) # finally evaluation takes place as a chain in write_results() write_results(out_csvfile, result_rows) infile.close() outfile.close() if __name__ == '__main__': main(sys.argv[1:]) Let's take this program and rewrite it to use multiprocessing to parallelize the three parts outlined above. Below is a skeleton of this new, parallelized program, that needs to be fleshed out to address the parts in the comments: #!/usr/bin/env python # -*- coding: UTF-8 -*- # multiproc_sums.py """A program that reads integer values from a CSV file and writes out their sums to another CSV file, using multiple processes if desired. """ import csv import multiprocessing import optparse import sys NUM_PROCS = multiprocessing.cpu_count() def make_cli_parser(): """Make the command line interface parser.""" usage = "\n\n".join(["python %prog INPUT_CSV OUTPUT_CSV", __doc__, """ ARGUMENTS: INPUT_CSV: an input CSV file with rows of numbers OUTPUT_CSV: an output file that will contain the sums\ """]) cli_parser = optparse.OptionParser(usage) cli_parser.add_option('-n', '--numprocs', type='int', default=NUM_PROCS, help="Number of processes to launch [DEFAULT: %default]") return cli_parser def main(argv): cli_parser = make_cli_parser() opts, args = cli_parser.parse_args(argv) if len(args) != 2: cli_parser.error("Please provide an input file and output file.") infile = open(args[0]) in_csvfile = csv.reader(infile) outfile = open(args[1], 'w') out_csvfile = csv.writer(outfile) # Parse the input file and add the parsed data to a queue for # processing, possibly chunking to decrease communication between # processes. # Process the parsed data as soon as any (chunks) appear on the # queue, using as many processes as allotted by the user # (opts.numprocs); place results on a queue for output. # # Terminate processes when the parser stops putting data in the # input queue. # Write the results to disk as soon as they appear on the output # queue. # Ensure all child processes have terminated. # Clean up files. infile.close() outfile.close() if __name__ == '__main__': main(sys.argv[1:]) These pieces of code, as well as another piece of code that can generate example CSV files for testing purposes, can be found on github. I would appreciate any insight here as to how you concurrency gurus would approach this problem. Here are some questions I had when thinking about this problem. Bonus points for addressing any/all: Should I have child processes for reading in the data and placing it into the queue, or can the main process do this without blocking until all input is read? Likewise, should I have a child process for writing the results out from the processed queue, or can the main process do this without having to wait for all the results? Should I use a processes pool for the sum operations? If yes, what method do I call on the pool to get it to start processing the results coming into the input queue, without blocking the input and output processes, too? apply_async()? map_async()? imap()? imap_unordered()? Suppose we didn't need to siphon off the input and output queues as data entered them, but could wait until all input was parsed and all results were calculated (e.g., because we know all the input and output will fit in system memory). Should we change the algorithm in any way (e.g., not run any processes concurrently with I/O)?

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  • Embarrassingly parallel workflow creates too many output files

    - by Hooked
    On a Linux cluster I run many (N > 10^6) independent computations. Each computation takes only a few minutes and the output is a handful of lines. When N was small I was able to store each result in a separate file to be parsed later. With large N however, I find that I am wasting storage space (for the file creation) and simple commands like ls require extra care due to internal limits of bash: -bash: /bin/ls: Argument list too long. Each computation is required to run through a qsub scheduling algorithm so I am unable to create a master program which simply aggregates the output data to a single file. The simple solution of appending to a single fails when two programs finish at the same time and interleave their output. I have no admin access to the cluster, so installing a system-wide database is not an option. How can I collate the output data from embarrassingly parallel computation before it gets unmanageable?

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  • May I know what python is great at [on hold]

    - by user108437
    I am amazed by python on how tidy the code is, so i decided to learn it, and 2 days pass and I am completely in love with python, but I just code it for hobby thing like chatting robot, uploading to file hosting scripts, etc that small tools for my own daily internet life, and not much for work. I can't find a real life usage of python here. I live in Singapore, when I see in the job skill needed, from those companies hiring, only one asking for python. so I begin to be doubtful whether this skill of mine really worth my time investing it? I also heard about django, and don't know how much popular it is comparing to asp.net. So i ask your help to tell me your country and how popular python there and whether you like python or not? I really like python because of the easy scripting language (not complicated like C++) but the usefulness is almost near C++ where many open source library out there that can run both in windows and linux, so the portability is great! i just want to justify my time for learning python, as because my job does not require python, and I don't have much time at home to learn something new.

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  • Why is Python slower than Java but faster than PHP

    - by good_computer
    I have many times seen various benchmarks that show how a bunch of languages perform on a given task. Always these benchmarks reveal that Python is slower then Java and faster than PHP. And I wonder why is that the case. Java, Python, and PHP run inside a virtual machine All three languages convert their programs into their custom byte codes that run on top of OS -- so none is running natively Both Java and Python can be "complied" (.pyc for Python) but the __main__ module for Python is not compiled Python and PHP are dynamically typed and Java statically -- is this the reason Java is faster, and if so, please explain how that affects speed. And, even if the dynamic-vs-static argument is correct, this does not explain why PHP is slower than Python -- because both are dynamic languages. You can see some benchmarks here and here, and here

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  • Why doesn't Python have a "flatten" function for lists?

    - by Hubro
    Erlang and Ruby both come with functions for flattening arrays. It seems like such a simple and useful tool to add to a language. One could do this: >>> mess = [[1, [2]], 3, [[[4, 5]], 6]] >>> mess.flatten() [1, 2, 3, 4, 5, 6] Or even: >>> import itertools >>> mess = [[1, [2]], 3, [[[4, 5]], 6]] >>> list(itertools.flatten(mess)) [1, 2, 3, 4, 5, 6] Instead, in Python, one has to go through the trouble of writing a function for flattening arrays from scratch. This seems silly to me, flattening arrays is such a common thing to do. It's like having to write a custom function for concatenating two arrays. I have Googled this fruitlessly, so I'm asking here; is there a particular reason why a mature language like Python 3, which comes with a hundred thousand various batteries included, doesn't provide a simple method of flattening arrays? Has the idea of including such a function been discussed and rejected at some point?

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  • Python ImportError when executing 'import.py', but not when executing 'python import.py'

    - by Martin Del Vecchio
    I am running Cygwin Python version 2.5.2. I have a three-line source file, called import.py: #!/usr/bin/python import xml.etree.ElementTree as ET print "Success!" When I execute "python import.py", it works: C:\Temp>python import.py Success! When I run the python interpreter and type the commands, it works: C:\Temp>python Python 2.5.2 (r252:60911, Dec 2 2008, 09:26:14) [GCC 3.4.4 (cygming special, gdc 0.12, using dmd 0.125)] on cygwin Type "help", "copyright", "credits" or "license" for more information. >>> #!/usr/bin/python ... import xml.etree.ElementTree as ET >>> print "Success!" Success! >>> But when I execute "import.py', it does not work: C:\Temp>which python /usr/bin/python C:\Temp>import.py Traceback (most recent call last): File "C:\Temp\import.py", line 2, in ? import xml.etree.ElementTree as ET ImportError: No module named etree.ElementTree When I remove the first line (#!/usr/bin/python), I get the same error. I need that line in there, though, for when this script runs on Linux. And it works fine on Linux. Any ideas? Thanks.

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