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In computer wisdom, a mound is a direct data structure that follows the Last-In-First-eschewal ( LIFO) principle. This means that the last element added to the mound is the first one to be removed. A mound can be allowed of as a mound of plates in a cafeteria. The last plate added is the first one to be taken by the person who's going to eat it. also, in a computer program, a mound can be used to store and manage data. For illustration, when a function is called, its original variables and parameters are pushed onto the mound, and when the function returns, the values are popped off the mound. The two primary operations that can be performed on a mound are drive and pop. Push adds an element to the top of the mound, and pop removes the top element. also, a mound may give a peep operation, which allows the stoner to check the top element without removing it. heaps are used in numerous computer algorithms, including expression evaluation, depth-first hunt, and countermanding. They're also used in programming languages to manage function calls, as well as in operating systems to manage system-position processes and vestments. In Python, you can apply a mound using a list data structure. Then is an illustration Python Copy law mound = () Push rudiments onto the mound ( 1) ( 2) ( 3) Pop rudiments from the mound = stack.pop() = stack.pop() print(top_element)# Affair 3 print(second_element)# Affair 2 print( mound)# Affair( 1) In this illustration, we first produce an empty list to represent the mound. We also push three rudiments onto the mound using the tack () system. Eventually, we pop two rudiments off the mound using the pop() system and publish the top two rudiments and the remaining mound.