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Transfer google play balance to Paytm, PhonePe, Google Pay or any UPI linked bank account.

To transfer google play balance, opinion rewards or gift cards to PayPal, Paytm, PhonePe, Google Pay or any UPI ID linked bank account , you can use QxCredit :Rewards Convertor app which is available on google play store: You will get back 80% of the google play balance. App link:  https://play.google.com/store/apps/details?id=qxcoding.qx_credit_reboot Follow these steps to transfer your play balance to paypal or UPI: 1) download app from play store. 2) login with your google account and phone number. 3) choose a token amount which you want to convert/transfer. 4) Enter your payout details.(UPI ID or PayPal Email) 5) wait for an acknowledgement mail form qxcredit containing information about your purchased token. 6) you will receive the amount within 3 days. 7) if you face any issues you can raise a query on website: https://qx-credit.web.app/#/contact_support About app: Introducing QxCredit : Rewards Converter Convert /Transfer or Exchange your Google Play Balance and opinion r

How to find the height of binary tree ? program (Python)

The height of binary tree is defined as MAX(depth of leaf nodes)  and depth of a node in turn is defined as (n-1) ,where n = the least number of nodes traversed through, to reach that node.
For detailed information on Implementing binary tree in python : refer here.



Definition of height function:

def height(self):
    if self.root == None:
        return 0
    else:
        return self._height(self.root, 0)

def _height(self, cur_node, cur_height):
    if cur_node == None: return cur_height
    left_height = self._height(cur_node.left_child, cur_height + 1)
    right_height = self._height(cur_node.right_child, cur_height + 1)
    return max(left_height, right_height)
Here, two functions are used one is used to check that if the binary tree exists or not , if exists then it will call the recursive function to traverse the left branch and right branch depth with respect to the root node , and then returns the bigger of the two by comparing. The value of depth(height ) of tree will be (returned value -1) to deduct the count of root node.

SOURCE CODE :
 # https://www.qxcoding.com/ 

class node:
    def __init__(self, value=None):
        self.value = value
        self.left_child = None
        self.right_child = None


class BinaryTree:
    def __init__(self):
        self.root = None

    def insert(self, value):
        if self.root == None:
            self.root = node(value)
        else:
            self._insert(value, self.root)

    def _insert(self, value, cur_node):
        if value < cur_node.value:
            if cur_node.left_child == None:
                cur_node.left_child = node(value)
            else:
                self._insert(value, cur_node.left_child)
        elif value > cur_node.value:
            if cur_node.right_child == None:
                cur_node.right_child = node(value)
            else:
                self._insert(value, cur_node.right_child)

        else:
            print("already exists")

    def print_tree(self):
        if self.root != None:
            self._print_tree(self.root)

    def _print_tree(self, cur_node):
        if cur_node != None:
            self._print_tree(cur_node.left_child)
            print(cur_node.value)
            self._print_tree(cur_node.right_child)

    def height(self):
        if self.root == None:
            return 0
        else:
            return self._height(self.root, 0)

    def _height(self, cur_node, cur_height):
        if cur_node == None: return cur_height
        left_height = self._height(cur_node.left_child, cur_height + 1)
        right_height = self._height(cur_node.right_child, cur_height + 1)
        return max(left_height, right_height)

    def delete_tree(self):
        self.root = None
        # freeing the memory will be taken care by garbage collector


if __name__ == '__main__':
    b1 = BinaryTree()
    b1.insert(5)
    b1.insert(10)
    b1.insert(6)
    b1.insert(8)
    b1.insert(3)
    b1.insert(4)
    b1.insert(2)
    b1.print_tree()
    b1.delete_tree()

if any doubts or queries please comment 🙂

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