a simple implementation of a Binary Search Tree in Python

binarySearchTree.py

class Node:
    def __init__(self, val):
        self.val = val
        self.leftChild = None
        self.rightChild = None
    
    def get(self):
        return self.val
    
    def set(self, val):
        self.val = val
        
    def getChildren(self):
        children = []
        if(self.leftChild != None):
            children.append(self.leftChild)
        if(self.rightChild != None):
            children.append(self.rightChild)
        return children
        
class BST:
    def __init__(self):
        self.root = None

    def setRoot(self, val):
        self.root = Node(val)

    def insert(self, val):
        if(self.root is None):
            self.setRoot(val)
        else:
            self.insertNode(self.root, val)

    def insertNode(self, currentNode, val):
        if(val <= currentNode.val):
            if(currentNode.leftChild):
                self.insertNode(currentNode.leftChild, val)
            else:
                currentNode.leftChild = Node(val)
        elif(val > currentNode.val):
            if(currentNode.rightChild):
                self.insertNode(currentNode.rightChild, val)
            else:
                currentNode.rightChild = Node(val)

    def find(self, val):
        return self.findNode(self.root, val)

    def findNode(self, currentNode, val):
        if(currentNode is None):
            return False
        elif(val == currentNode.val):
            return True
        elif(val < currentNode.val):
            return self.findNode(currentNode.leftChild, val)
        else:
            return self.findNode(currentNode.rightChild, val)

Thanks a lot @Aniket2ten96 for pointing it out
I have made the changes
You are right, it should be finding out the minimum in the subtree where self.rightNode acts as the root. Hence replaced the wrong function with find_min_in_sub_tree along with its implementation