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EAN-139781906626648   EAN-13 barcode 9781906626648
Product NameAircraft of the Cold War: 1945-1991 (The Essential Aircraft Identification Guide)
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 1906626642
SKU1-1906626642
Price New11.39 US Dollars    (curriencies)
Price Used6.99 US Dollars    (curriencies)
Width1 inches    (convert)
Height9.5 inches    (convert)
Length7.5 inches    (convert)
Weight28.8 ounces    (convert)
AuthorThomas Newdick
Page Count192
BindingHardcover
Published04/02/2010
Long DescriptionIllustrated with detailed artworks of combat aircraft and their markings, The Essential Aircraft Identification Guide: Aircraft of the Cold War is a comprehensive study of the planes in service with NATO and the Warsaw Pact and their respective units from the end of World War II until the reunification of Germany. Arranged chronologically by theater, the book gives a complete organizational breakdown of the units of both sides, including the units and aircraft used in the proxy wars fought in Korea, Vietnam, the Middle East and elsewhere as well as the ‘frontline’ in Germany.

Each section includes a compact history of the role and impact of aircraft on the course of the Cold War, as well as orders of battle, lists of commanders and aces such as Nikolai Sutyagin, Randall “Duke” Cunningham, Giora Epstein, and Majid Zugbi. Every type of aircraft is featured, including the numerous variations and types of well-known models, such as the MiG-15, the McDonnell Douglas F-15 and the Harrier, through to lesser-known aircraft, such as the Lockheed P-80, and the Myasishchev M-4 Bison. Each aircraft profile is accompanied by exhaustive specifications, as well as details of individual and unit markings. Packed with 250 color profiles of every major type of combat aircraft from the era, The Essential Aircraft Identification Guide: Aircraft of the Cold War is an essential reference guide for modelers, military historians and aircraft enthusiasts.
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Created01-14-2013 3:00:05am
Modified09-11-2017 4:19:47am
MD5aede921d7b87027ebcb1769c5e6fa7e2
SHA2567b7da330c5681c9ebd617d19793f1503ef97b80c8d31fd90caac62250f8e18a4
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Article of interest

With version 3.2 comes a new way to handle product images. This should give you more control over the images you display.

Prior to version 3.2, you simply had to check for the existance of the product>image property. If it existed and was not blank, you could safely display the image. 

Starting with version 3.2, you may want to check one more field before you display the product image. Many API users wanted access to the pending images. The only reasonable way to do this was to add a new property named product>hasImage which can be one of four values.

If you are displaying the product images to your users and you DO NOT want to display pending images that have not been checked, you should only display the image if product>hasImage=Yes. If you want to show production and pending images, you can simply check the product>image property if you like. We suggest using product>hasImage as your main check and only display the image if it meets your needs. Here are samples of the JSON structure.

The property product>hasImage will always be regurned even if you specified a list of properties in the "get" string that does not include the image property. The main reason for this is that it is possible to calculate the image path on your side thereby saving the bandwidth of returning the image path.

If you want to calculate the path to the image on your end instead of requesting it from us, you can do this in two ways. 

  1. If product>hasImage=Pending then simply use the path https://eandata.com/image/pending/{13_digit_EAN}.jpg
  2. If product>hasImage=Yes then it gets a little more tricky. We split the images into subfolders because there are so many of them. To calculate the path start with the 13 digit EAN and split it up like this: https://eandata.com/image/product/{1st_3_digits}/{2nd_3_digits}/{3rd_3_digits}/{13_digit_EAN}.jpg

This should make interacting with product and pending images much easier for you. Look at the example JSON shown above for working exmples of image paths.

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