* Stacks – A stack is a list of data elements arranged in the form of a vertical structure. These data structures in python classification can be explained as follows:ġ) They can be used to implement a FIFO queue in which data is inserted in the order in which it is received.Ģ) They can be used to implement a LIFO queue in which the oldest item is removed from the front and added to the back, thereby making room for new items to be inserted at the front.ģ) They can also be used as stacks in which the items on the left-hand side are removed and the items on the right-hand side are added.Ĥ) They can also be used as queues in which new data elements are inserted at the top and older data elements are removed from the bottom. Examples of non-linear structures in python examples include trees and graphs. Some common examples of linear data structures include lists, arrays, and strings. Each of these categories is further classified into sub-categories based on the type of data that they contain.
The main difference between them is that linear data structures are organized in a single column while non-linear data structures are arranged in multiple columns. The two primary classifications of data structures are: Read Blog 🔗🔗 How Python Became The Language for Data Science? Classification of Data Structures in Python:ĭata Structure plays a pivotal role in organizing the data. Data structures also play an important role in developing computer programs because different types of programs are designed to operate on different kinds of data structures. Each python data type has its own advantages and disadvantages and some may be more appropriate for certain operations than others. For example, computers store data in various forms of tables called data structures. The data that is stored in any computer system can be represented in different ways depending on the nature of its operations. It is essentially a computer representation of information. Classification of Data Structures in Python:Ī data structure is a way of organizing information in a computer so that it can be used quickly and efficiently to perform various operations.Deleting a node from the linked list #Implementing basic data structures in Python - LinkedList class Node: def _init_(self,value): self.value = value self.nextNode = None class LinkedList: def _init_(self): self.headNode = None self.lastNode = None def insertNode(self,value): node = Node(value) if self.headNode = None: self.headNode = node self.lastNode = node else: = node self.lastNode = node print(value,'inserted successfully') def insertNodeAfter(self,value,refValue): node = Node(value) if self.headNode = None: self.headNode = node self.lastNode = node else: iterator = self.headNode while iterator.value != refValue: iterator = iterator.nextNode node.nextNode = iterator.nextNode iterator.nextNode = node print(value,'inserted successfully') def traverseList(self): iterator = self.headNode while iterator != None: print(iterator.value) iterator = iterator.nextNode def deleteNode(self,value): iterator = self.headNode while != value: iterator = iterator.nextNode temp = iterator.nextNode iterator.nextNode = temp.nextNode del(temp) print(value,' deleted successfully') ll = LinkedList() ll.insertNode(1) ll.insertNode(2) ll.insertNode(3) ll.traverseList() ll.deleteNode(2) ll.traverseList() ll.insertNodeAfter(2,1) ll.
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