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EAN-139780375710100   EAN-13 barcode 9780375710100
Product NameKnopf Mapguide: Berlin (Knopf Mapguides)
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0375710108
SKUHH-018-80-2644302
Price New2,942.01 US Dollars    (curriencies)
Price Used22.15 US Dollars    (curriencies)
Width0.34 inches    (convert)
Height6.7 inches    (convert)
Length4.79 inches    (convert)
Weight4.8 ounces    (convert)
AuthorKnopf Guides
Page Count48
BindingPaperback
Published03/18/2003
Long DescriptionThis opening fold-out contains a general map of Berlin to help you visualize the 6 large districts discussed in this guide, and 4 pages of valuable information, handy tips and useful addresses. Discover Berlin through 6 districts and 6 maps Unter den Linden/ Friedrichstadt/ Museumsinsel Scheunenviertel/ Prenzlauer Berg Alexanderplatz/ Nikolaiviertel/ Friedrichshain Kreuzberg Tiergarten/ Potsdamer Platz/ Schöneberg Kurfürstendamm/ Charlottenburg For each district there is a double-page of addresses (restaurants — listed in ascending order of price — cafes, bars, tearooms, music venues and stores) followed by a fold-out map for the relevant area with the essential places to see (indicated on the map by a star *). These places are by no means all that Berlin has to offer but to us they are unmissable. The grid-referencing system ( A B2) makes it easy for you to pinpoint addresses quickly on the map. Transportation and hotels in BerlinThe last fold-out consists of a transportation map and 4 pages of practical information that include a selection of hotels. A thematic index lists all the sites and addresses featured in this guide.
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Created05-01-2012 1:05:00am
Modified04-30-2020 7:04:19pm
MD5ef3b2381575ae0f360f26205ef1f3797
SHA256e761e593e7ab3a5b0efc2265ff1a4d692bda078ec3c0fb3317d49bf2d691d5b1
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An article of interest

Making use of the tools we offer

Data Feed API v3 - Access and Data Layout

This describes how to use version 3.x of the data feed. Version 2.x of the feed is still supported. Version 1.x of the feed is no longer supported in any way.

IMPORTANT: Starting with version 3.2, we have a new property and a new way of dealing with product images. Read about it here.

Accessing the data requires your account to have an active data feed. This switch can be turned on or off on the data feed page. This is also where you will be able to view your KEYCODE which is required to make calls to the feed.

Main changes from version 2.x to 3.x include (but not limited to)...

Calls to the data feed are made via HTTP GET or HTTP POST requests. There are only a few required parameters when making a call.

Most other parameters are optional and they will alter the way data is returned to you and how your request is processed. You can also pass in your own values that you need carried through. Any parameter that the system doesn't recognize will be returned AS-IS in the status block. This can be handy in situations where you are pulling the data in an asyncronus manor and need extra information passed into your callback routine.

When performing a lookup...

When updating data...

When deleting data...

There are some special "get" operations that need no other parameters. You would not use "find" or "update" when using these. Only use the "keycode", "mode" and "get" for these items. These operations are important because many of our elements are data driven and that data changes over time. We normally don't remove attributes or categories but we do often add to the collection.

The returned data can come back in JSON or XML format. In either case the structure of the data is the same. Because it is easier to read, we will be using XML to demonstrate the layout of the result. Here is the data layout. Notice that this is a complex object and some elements have child elements and some elements may be arrays with repeating content.

The easiest way to get the feel of the data is to make several requests using your web browser and ask for the data in XML format. Although JSON is often easier to work with in code, the XML output is often easier for people to read because of the nice markup tags that wrap around each element and the web browser will usually do a nice job of indenting to make it clear which elements are stored within other elements.