Image | ![]() |
EAN-13 | 9780060521134 ![]() |
Product Name | Michelangelo |
Category | Book / Magazine / Publication |
Short Description | Paperback |
Amazon.com | ![]() |
SKU | NL9780060521134 |
Price New | 3.63 US Dollars (curriencies) |
Price Used | 2.07 US Dollars (curriencies) |
Width | 9.33 inches (convert) |
Height | 11 inches (convert) |
Length | 9.25 inches (convert) |
Weight | 8.64 ounces (convert) |
Author | Diane Stanley |
Page Count | 48 |
Binding | Paperback |
Published | 05/13/2003 |
Features | HarperCollins |
Long Description | When he was born, Michelangelo Buonarroti was put into the care of a stonecutter's family. He often said it was from them that he got his love of sculpture. It certainly didn't come from his own father, a respectable magistrate who beat his son when he asked to become an artists apprentice. But Michelangelo persevered. His early sculptures caught the attention of Florence's great ruler, Lorenzo de' Medici, who invited the boy to be educated with his own sons. Soon after, Michelangelo was astonishing people with the lifelike creations he wrested from marble--from the heartbreaking Pieta he sculpted when he was only twenty-five to the majestic David that brought him acclaim as the greatest sculptor in Italy. Michelangelo had a turbulent, quarrelsome life. He was obsessed with perfection and felt that everyone--from family members to his demanding patrons--took advantage and let him down. His long and difficult association with Pope Julius II yielded his greatest masterpiece, the radiant paintings in the Sistine Chapel, and his most disastrous undertaking, the monumental tomb that caused the artist frustration and heartache for forty years. With her thoroughly researched, lively narrative and superbly detailed illustrations, Diane Stanley has captured the life of an artist who towered above the late Renaissance--and whose brilliance in architecture, painting, and sculpture amazes and moves us to this day. Children's Books 2000-NY Public Lib., Books for Youth Editor's Choice 2000 (Booklist), Lasting Connections 2000 (Book Links), Best Books 2000 (School Library Journal), Top 10 Youth Art Books 2000 (Booklist), and Notable Children's Trade Books in the Field of Social Studies 2001, National Council for SS & Child. Book Council |
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Created | 02-26-2012 6:38:13pm |
Modified | 04-30-2020 2:58:58pm |
MD5 | b6e0c61fc67f9eb2b52009e710ccd183 |
SHA256 | 4bc67aa709d77ef5128fbb3393821f4316469b4d0a426bab30dd668bc065f5f8 |
Search Google | by EAN or by Title |
Query Time | 0.0204811 |
Article of interest
The attributes are somewhat like fields. They are the individual data items that describe each product. Each product entry will have several attributes. There is no telling which attributes will be attached to each product but they all have the same basic format.
Here is an example of one attribute. When accessing the data feed API, you can get your data in XML or JSON format. Here it is displayed in XML format to make it a little easier to read through.
<attribute> <field_name>product</field_name> <group_name>Over View</group_name> <title>Product Name</title> <data_type>varchar</data_type> <data_type_description>short text</data_type_description> <has_linked_text>0</has_linked_text> <has_linked_extra>0</has_linked_extra> </attribute>
In the above example you will find these elements:
- field_name - The unique name used to access this attribute.
- group_name - The name of the data group this field belongs to.
- title - The label we place on the screen when displaying this attribute to users.
- data_type - The database data type we are using to store this attribute.
- data_type_description - More infomation about the data type.
- has_linked_text - Some numeric fields have a text representation. We store the numeric value but if there is linked text, we use a lookup table to display that text instead of the number to the user.
- has_linked_extra - Some numeric fields have an extra text value that goes along with the number. We use a lookup table to display that text in addition to the number.
Hopefully, this helps you understand the data attributes you find in the data feed API.
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