Well... it looks too complicated for anyone in the whole universe. :\
Social bookmarking is a way for people to store, organize, search, and manage “bookmarks” of web pages. Users save links to web pages that they like or want to share, using a social bookmarking site to store these links. These bookmarks are usually public, and can be viewed by other members of the site where they are stored. Examples of social bookmarking sites include del.icio.us and digg.com .
Most social bookmark services are organized by users applying “tags” or keywords to content on a Web site. This means that other users can view bookmarks that are associated with a chosen tag, and see information about the number of users who have bookmarked them. In many cases, users can also comment or vote on bookmarked items.
Social bookmarking is also interchangeably sometimes referred to as folksonomy, collaborative tagging, social classification, social indexing, and social tagging. “Folksonomy” is a combination of the words folk and taxonomy, hence a folksonomy is a taxonomy generated by a person or group of people
There are two standard colors for a text in a them
Answer:
H=(A*D)-(B*(D-1))
H = A*D- B*D+B
H-B = (A-B)*D
D= (H-B)/(A-B)
Python 3 code
import math
H=int(input('Enter Height: '))
up=int(input('Enter Number of Feet Up: '))
down=int(input('Enter Number of Feet Down: '))
D=(H-down)/(up-down)
print(math.ceil(D),' Days'
Explanation:
The output of the Program is given in the attached file.
Answer:
linear search be preferable over a binary search because In binary search the input data must be sorted before searching but in linear search input data need not to be sorted .
As input data need not to be sorted in linear searching so the complexity of linear sorting is O(n) but in binary search if input data is not sorted then firstly be sorted the data then after that it perform searching so the complexity of binary search if input data is not sorted is O(nlogn+logn)
Their are some important points linear search over binary search
linear searches searches the data linearlly so it perform equality comparison and binary searches the data randomly so perform ordering comparison.
