Zipcode lookup tool


HOME ยป VB & VBnet

I am looking for a tool that will accept an address from the user and return a 9 digit zipcode as well as validate the address or suggest an address, like on fexed or ups website. Its got to work with vb.net and asp.net
Is there a tool like this available? any recommendation?


Related to : Zipcode lookup tool
Symbian OS DLLs - "lookup by ordinal" and "lookup by name"
VB & VBnet
In the chapter "Binary Types" in the book "Symbian OS Explained", section 13.2 "Symbian OS DLLs", the author, states that Symbian OS optimizes DLL program code to save ROM and RAM space, by offering only "lookup by ordinal" and not "lookup by name".
I quote from the book:
"
Symbian OS does not offer lookup by name because this adds an overhead to the size of the DLL (storing the names of all the functions exported from the library is wasteful of space). Instead, Symbian OS only uses link by ordinal, which has significant implications for binary compatibility.
"
I understand how &quo
Realtime Blackhole List Lookup - interesting Tool
VB & VBnet

http://www.mob.net/~ted/tools/rbl.php3
checks to see if a host/IP # is on any Realtime Blackhole Lists. :eek:

More tools here

http://www.mob.net/~ted/tools/


Zipcode lookup tool
VB & VBnet

I am looking for a tool that will accept an address from the user and return a 9 digit zipcode as well as validate the address or suggest an address, like on fexed or ups website. Its got to work with vb.net and asp.net
Is there a tool like this available? any recommendation?


[ubuntu] Multiple DNS Lookup Tool?
VB & VBnet
Does anyone know of a terminal tool like:
http://www.bankes.com/nslookup.htm
I'd like to be able to use that from the terminal without limitations.
Why is a double lookup faster than a single lookup in javascript?
VB & VBnet

I am seeing some odd behavior in a jsperf test. Here is the setup:

var pro={};
pro._x=3;
var q=Object.create(pro);
q.x=3;
q.z={};
q.z.x=3;

Then I simply lookup each of the properties q.x, q._x, and q.z.x.

The single lookup q.x is faster than the prototype lookup q._x as expected. But the double lookup q.z.x is the fastest. I expected q.z.x to be the slowest, especially when compared to q.x.

q.z.x is even faster than q.z. What is going on here?


Combine __icontains lookup with __in lookup in django to get objects that contain part of name in names array
VB & VBnet

Hi My models are as follows

class Document(models.Model)
    id = models.BigIntegerField(primary_key=True)
    text = models.TextField()

class DocumentTags(models.Model):
    name = model.CharField(max_length=256)
    documents_for_tag = models.ManyToManyField(Document)

Now with this I can get all the tags for a particular document with

parent_document = Document.objects.get(id = 1)
parent_document_tags = [x.name for x in
parent_document.documenttags_set.all()]

So the parent_document_tags will have all the tags for the parent document for eg.

["nice" , "unique"]

Now I want to next get all the Documents that have tags that closely match this list of tags. I am doing this with

Document.objects.filter(documenttags__name__in=parent_document_tags).distinct()

This however matches only documents that have exactly the names in the parent_document_tags. I want to match with an __icontains (or LIKE) match. How do I do this without splitting up my tags and doing an icontains type lookup one by one.

for eg.

d1 has tags : "nice", "unique"
d2 has tags :  "nice"
d3 has tags : "nicer"

I want the query to return document d3 as well with a LIKE match for "nicer" by chaining the __icontains onto the lookup documenttags__name__in . Can I achieve that or do I have to have a for loop and filter out the duplicates in the end like this code below

related_documents_with_duplicates = []
for tag in parent_document_tags:
    docs =
Document.objects.filter(documenttags__name__icontains=tag).distinct()
    related_documents_with_duplicates.extend(docs)
related_documents_id_unique = list(set([x.id for x in
related_documents_with_duplicates]))
return Documents.objects.filter(id__in=related_documents_id_unique)


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