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)) 
by

Python Online Compiler

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.

Taking inputs (stdin)

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)

About Python

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.

Tutorial & Syntax help

Loops

1. If-Else:

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

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

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 

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

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)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

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.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling