![]() ![]() If the block of contiguous memory is full, it will get another block that can take much a longer time than a normal append() function. The list consumes extra time to append() some objects than others. ![]() The contiguous memory also allows slice to work well on the lists. For example - Getting list1 is fast as Python knows the exact position of a particular element. This is most effective for the several operations, like indexing into the list. The list stores the element right next to each other and uses the contiguous memory. However, the only difference is that, we have imported the deque from the collection module. The above code is almost similar to the previous example. If the list grows and out of a block of memory then Python allocates some memory. The list stores the new element in the next to other. The list also provides the pop() method to remove the last element, but there are shortcomings in the list. It uses the append() method to insert elements to the list where stack uses the push() method. We can implement a stack in Python in the following ways. In this section, we will discuss the implementation of the stack using Python and its module. Python offers various ways to implement the stack. pop() - This method removes the topmost element of the stack.push(g) - This method adds the element 'g' at the end of the stack - The time complexity is O(1).top() - This method returns an address of the last element of the stack. ![]()
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