Search Results

Search found 14879 results on 596 pages for 'python interactive'.

Page 423/596 | < Previous Page | 419 420 421 422 423 424 425 426 427 428 429 430  | Next Page >

  • How do you extend the Site model in django?

    - by John Giotta
    What is the best approach to extending the Site model in django? Creating a new model and ForeignKey the Site or there another approach that allows me to subclass the Site model? I prefer subclassing, because relationally I'm more comfortable, but I'm concerned for the impact it will have with the built-in Admin.

    Read the article

  • NZEC in spoj FACKT

    - by frodo
    I was trying to solve this problem http://www.spoj.pl/problems/FACKT/, and I keep getting a Non-Zero Exit Code (NZEC). How exactly do I figure out what to change in the code to overcome this? Here is the code import math import sys def cal_num(n): i = 1 f = 1 while f<n: f *= i i = i + 1 return i-1 while 1: line = sys.stdin.readline() if line == "": break n = int(line) x = cal_num(n) y = math.factorial(2*x) l = int(math.ceil(math.log(y,10))) print (x,l) Any suggestion would be welcome.

    Read the article

  • Should I use a class in this: Reading a XML file using lxml.

    - by PulpFiction
    Hi everyone. This question is in continuation to my previous question, in which I asked about passing around an ElementTree. I need to read the XML files only and to solve this, I decided to create a global ElementTree and then parse it wherever required. My question is: Is this an acceptable practice? I heard global variables are bad. If I don't make it global, I was suggested to make a class. But do I really need to create a class? What benefits would I have from that approach. Note that I would be handling only one ElementTree instance per run, the operations are read-only. If I don't use a class, how and where do I declare that ElementTree so that it available globally? (Note that I would be importing this module) Please answer this question in the respect that I am a beginner to development, and at this stage I can't figure out whether to use a class or just go with the functional style programming approach.

    Read the article

  • How can I access the "through" object of a Django ManyToManyField?

    - by Macha
    I have the following models in my Django app. How can I from the Team model find all the User objects who have accepted as True in the Membership model? I know I need to use Team.objects.filter(), but I'm not sure how to check the value of the accepted field. from django.contrib.auth.models import User class Team(models.Model): members = models.ManyToManyField(User, through="Membership") class Membership(models.Model): user = models.ForeignKey(User) team = models.ForeignKey(Team) accepted = models.BooleanField(default=False)

    Read the article

  • Extracting specific words that end with .c and .h [on hold]

    - by Alberto Mederos
    I have a very big list of file names that end with a the following: .c .h .cpp and much more. I need to extract file names that end with .c and .h How do I do that? Also, how could I add quotation marks to the beginning and end of the word, followed with a comma? For example, if I have this in the list: mi_var.c How could I extract it from a very big list, and everything else that ends in .c and replace it to have quotation marks and a comma at the end? Like this: "mi_var.c", I'm new to this, any help is greatly appreciated. Here is part of the list: gsd5t_image.c, gsd5t_image_sqif.c, proc_arm.c, proc_cortex.c, proc_k32.c, proc_k32_entry.s, proc_k32_test.c, proc_k32_test_start.s, rom_sub_functions.s, rom_sub_functions_gcc.s, sqif_jump_table.s, sqif_jump_table_gcc.s, tracker_wrapper_functions.s, vector_M0.c, ptimer.c, ptimer_arm.c, ptimer_internal.h, ptimer_internal_arm.h, ptimer_internal_k32.h, ptimer_k32.c, RstMod_if.h, drvRstMod.h, tbus.dxy, tbus_common.c, tbus_common.h, act.c, act.h, act.msgs, act_if.c, act_if.h, sat_signal_processor.c, sat_signal_processor.h, ssp.dxy, ssp.msgs, ssp_acq_handlers.c, ssp_acq_handlers.h, ssp_atx_if.c, ssp_atx_if.h, ssp_bitsync_handlers.c, ssp_bitsync_handlers.h, ssp_cohver_handlers.c, ssp_cohver_handlers.h, ssp_cwscan_handlers.c, ssp_cwscan_handlers.h, ssp_track_handlers.c, ssp_track_handlers.h, ssp_atx_if_test_sort.c, ssp_hack.c, ssp_hack.h, ssp_suite.cpp, ssp_suite.h, ssptloop.c, ssptloop.h, sss.dxy, sss.msgs, sss_atx_if.c, sss_atx_if.h, strong_signal_scan.c, So how to extract certain names?

    Read the article

  • add new records using signal in django admin

    - by ganesh
    I've a model called broadcastinfo, It has fields viz.. info,userid...userid is excluded. when i add an new info, my broadcastinfo table should get the records of all userid from user table and the given message. Im trying this via signal.Any idea is highly appreciated. Thanks

    Read the article

  • Django store regular expression in DB which then gets evaluated on page

    - by John
    Hi, I want to store a number of url patterns in my django model which a user can provide parameters to which will create a url. For example I might store these 3 urls in my db where %s is the variable parameter provided by the user: www.thisissomewebsite.com?param=%s www.anotherurl/%s/ www.lastexample.co.uk?param1=%s&fixedparam=2 As you can see from these examples the parameter can appear anywhere in the string and not in a fixed position. I have 2 models, one holds the urls and one holds the variables: class URLPatterns(models.Model): pattern = models.CharField(max_length=255) class URLVariables(models.Model): pattern = models.ForeignKey(URLPatterns) param = models.CharField(max_length=255) What would be the best way to generate these urls by replacing the %s with the variable in the database. would it just be a simple replace on the string e.g: urlvariable = URLVariable.objects.get(pk=1) pattern = url.pattern url = pattern.replace("%s", urlvariable.param) or is there a better way? Thanks

    Read the article

  • How to map one class against multiple tables with SQLAlchemy?

    - by tote
    Lets say that I have a database structure with three tables that look like this: items - item_id - item_handle attributes - attribute_id - attribute_name item_attributes - item_attribute_id - item_id - attribute_id - attribute_value I would like to be able to do this in SQLAlchemy: item = Item('item1') item.foo = 'bar' session.add(item) session.commit() item1 = session.query(Item).filter_by(handle='item1').one() print item1.foo # => 'bar' I'm new to SQLAlchemy and I found this in the documentation (http://www.sqlalchemy.org/docs/05/mappers.html#mapping-a-class-against-multiple-tables): j = join(items, item_attributes, items.c.item_id == item_attributes.c.item_id). \ join(attributes, item_attributes.c.attribute_id == attributes.c.attribute_id) mapper(Item, j, properties={ 'item_id': [items.c.item_id, item_attributes.c.item_id], 'attribute_id': [item_attributes.c.attribute_id, attributes.c.attribute_id], }) It only adds item_id and attribute_id to Item and its not possible to add attributes to Item object. Is what I'm trying to achieve possible with SQLAlchemy? Is there a better way to structure the database to get the same behaviour of "dynamic columns"?

    Read the article

  • Can UML be used to model a Functional program?

    - by iestyn
    More specifically, how do you model a functional program, or one developed using the Functional Style (without classes) using a diagram, and not textual representation, is it at all possible and could someone please direct me towards the nearest application that would do this (open source, of free as in beer, if you please)

    Read the article

  • Efficiently generate numpy array from list comprehension output?

    - by shootingstars
    Is there a more efficient way than using numpy.asarray() to generate an array from output in the form of a list? This appears to be copying everything in memory, which doesn't seem like it would be that efficient with very large arrays. (Updated) Example: import numpy as np a1 = np.array([1,2,3,4,5,6,7,8,9,10]) # pretend this has thousands of elements a2 = np.array([3,7,8]) results = np.asarray([np.amax(np.where(a1 > element)) for element in a2])

    Read the article

  • Obtain distances to nearest landmarks (Mall, Hospital, and Airport etc.) using google map

    - by user227290
    I am working on a project in which I have around 100000 addreses in major cities in India(it is a table in a database). I want to know if it is possible to obtain the distances to to nearest landmarks (Mall, Hospital, and Airport etc.). Ideally I want these distances to be mergeed to the parent table. We have Java and Php coders to get it done once we find out how to go about it. Any pointers will be of great help. Thank you.

    Read the article

  • Fastest method in merging of the two: dicts vs lists

    - by tipu
    I'm doing some indexing and memory is sufficient but CPU isn't. So I have one huge dictionary and then a smaller dictionary I'm merging into the bigger one: big_dict = {"the" : {"1" : 1, "2" : 1, "3" : 1, "4" : 1, "5" : 1}} smaller_dict = {"the" : {"6" : 1, "7" : 1}} #after merging resulting_dict = {"the" : {"1" : 1, "2" : 1, "3" : 1, "4" : 1, "5" : 1, "6" : 1, "7" : 1}} My question is for the values in both dicts, should I use a dict (as displayed above) or list (as displayed below) when my priority is to use as much memory as possible to gain the most out of my CPU? For clarification, using a list would look like: big_dict = {"the" : [1, 2, 3, 4, 5]} smaller_dict = {"the" : [6,7]} #after merging resulting_dict = {"the" : [1, 2, 3, 4, 5, 6, 7]} Side note: The reason I'm using a dict nested into a dict rather than a set nested in a dict is because JSON won't let me do json.dumps because a set isn't key/value pairs, it's (as far as the JSON library is concerned) {"a", "series", "of", "keys"} Also, after choosing between using dict to a list, how would I go about implementing the most efficient, in terms of CPU, method of merging them? I appreciate the help.

    Read the article

  • Passing around an ElementTree

    - by PulpFiction
    Hello. In my program, I need to make use of an ElementTree object in various functions in my program. More specifically, I am doing this: tree = etree.parse('somefile.xml') I am passing this tree around in my program. I was wondering whether this is a good approach, or can I do this: Create a global tree (I come from a C++ background and I know global is bad) Create the tree again wherever required. Or is my approach ok?

    Read the article

  • how to trigger a script located on a machine in one domain from a machine on another domain

    - by user326814
    Hi, I am basically from QA. What we testers do each day is 1. Open a web browser. Type in http://11.12.13.27.8080/cruisecontrol (since we are in a particular network, only we can access this) 2. Check if the latest nightly build has been successful. If it is successful, deploy it on a test environment by clicking on 'Deploy this build' link. This deploying takes around 1-1.5 hours. During this time we cannot use our machines to work on anything else. Only after this deploying can we begin to test. Now, i wanted to know if its possible to do the below. When at home in the morning, i use something which will trigger a script (which will be on my machine at workplace). This script will inturn automatically deploy the build. I already have such a similar script. What i want to know is how is it possible to trigger this script from my home machine? Is it even possible? For e.g the external trigger will say "Deploy xxx branch on yyy test environment". So the script on my workplace machine will be invoked and it will automatically deploy it before i actually come to my desk. Please help. I am from QA and have no idea about all this.

    Read the article

  • printing only the last 8 entries in a .csv file

    - by user2341103
    I have an input csv file as below,I want to print only the most recent 8 entries..can anyone provide inputs on how to do this? INPUT:- trend.csv ['2013-06-25 20:01', '10'] ['2013-06-25 20:06', '9'] ['2013-06-25 20:06', '8'] ['2013-06-26 20:06', '7'] ['2013-06-26 20:06', '6'] ['2013-06-26 20:06', '5'] ['2013-06-26 20:06', '4'] ['2013-06-26 20:06', '3'] ['2013-06-26 20:06', '2'] ['2013-06-26 20:08', '1'] OUTPUT:- ['2013-06-25 20:06', '8'] ['2013-06-26 20:06', '7'] ['2013-06-26 20:06', '6'] ['2013-06-26 20:06', '5'] ['2013-06-26 20:06', '4'] ['2013-06-26 20:06', '3'] ['2013-06-26 20:06', '2'] ['2013-06-26 20:08', '1'] import csv #Now read the recent 8 entries and print cr = csv.reader(open("trend.csv","rb")) for row in cr: #print only the recent most 8 entries print row

    Read the article

< Previous Page | 419 420 421 422 423 424 425 426 427 428 429 430  | Next Page >