class Node:
# Function to initialise the node object
def __init__(self, data):
self.data = data # Assign data
self.next = None # Initialize next as null
# Linked List class contains a Node object
class LinkedList:
# Function to initialize head
def __init__(self):
self.head = None
# -----------------------------------------------#
# Function to insert a new node at the beginning
def push(self, new_data):
new_node = Node(new_data) # 1 & 2: Allocate the Node & Put in the data
new_node.next = self.head # 3. Make next of new Node as head
self.head = new_node # 4. Move the head to point to new Node
# -----------------------------------------------#
# Appends a new node at the end
def append(self, new_data):
new_node = Node(new_data) # 1. Create a new node , 2. Put in the data , 3. Set next as None
if self.head is None: # 4. If the Linked List is empty, then make the new node as head
self.head = new_node
return
last = self.head # 5. Else traverse till the last node
while (last.next):
last = last.next
last.next = new_node # 6. Change the next of last node
# -----------------------------------------------#
# Given a reference to the head of a list and a key,
# delete the first occurrence of key in linked list
def deleteNode(self, key):
temp = self.head # Store head node
if (temp is not None): # If head node itself holds the key to be deleted
if (temp.data == key):
self.head = temp.next
temp = None
return
while(temp is not None): # Search for the key to be deleted, keep track of the previous node as we need to change 'prev.next'
if temp.data == key:
break
prev = temp
temp = temp.next
if(temp == None): # if key was not present in linked list
return
prev.next = temp.next # Unlink the node from linked list
temp = None
# -----------------------------------------------#
def deleteNodePos(self, position):
if self.head == None: # If linked list is empty
return
temp = self.head # Store head node
if position == 0: # If head needs to be removed
self.head = temp.next
temp = None
return
for i in range(position -1 ): # Find previous node of the node to be deleted
temp = temp.next
if temp is None:
break
if temp is None: # If position is more than number of nodes
return
if temp.next is None:
return
next = temp.next.next # Node temp.next is the node to be deleted store pointer to the next of node to be deleted
temp.next = None # Unlink the node from linked list
temp.next = next
# -----------------------------------------------#
# Printing the linked list
def printList(self):
print("Linked list is : ", end=' ')
temp = self.head
while (temp):
if temp.next!=None:
print (temp.data, end=' -> ')
else:
print (temp.data)
temp = temp.next
def findMid(self):
if not (self.head):
print("Linked list is empty")
else:
slow = self.head
fast = self.head
while(fast and fast.next):
slow = slow.next
fast = fast.next
if fast:
fast = fast.next
print(slow.data)
def findLength(self):
curr = self.head
length = 0
while curr:
length += 1
curr = curr.next
print("Length of linked list is: ",length)
def findLengthRecur(self, node):
if node is None:
return 0
return 1 + self.findLengthRecur(node.next)
llist = LinkedList()
llist.head = Node(1)
second = Node(2)
third = Node(3)
fourth = Node(4)
fifth = Node(5)
llist.head.next = second; # Link first node with second
second.next = third; # Link second node with the third node
third.next = fourth;
fourth.next = fifth;
llist.printList()
print("Middle element of linked list is : ", end='')
llist.findMid()
llist.findLength()
print("Length of linked list (recursive-way) is: ", end='')
print(llist.findLengthRecur(llist.head)) Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
| Name | Description |
|---|---|
| NumPy | NumPy python library helps users to work on arrays with ease |
| SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
| SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
| Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
| DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |