```python
class TreeNode:
def __init__(self, value=0, left=None, right=None):
self.value = value
self.left = left
self.right = right
def is_bst(node, min_value=float('-inf'), max_value=float('inf')):
if node is None:
return True
if not (min_value < node.value < max_value):
return False
return (is_bst(node.left, min_value, node.value) and
is_bst(node.right, node.value, max_value))
```
1 + 2 = 3
4 - 1 = 3
6 ÷ 2 = 3
9 - 6 = 3
5 - 2 = 3
3 × 1 = 3
```python
class Node:
def __init__(self, data):
self.data = data
self.next = None
class Stack:
def __init__(self):
self.top = None
def is_empty(self):
return self.top is None
def push(self, data):
new_node = Node(data)
new_node.next = self.top
self.top = new_node
def pop(self):
if self.is_empty():
raise IndexError("pop from empty stack")
popped_node = self.top
self.top = self.top.next
return popped_node.data
def peek(self):
if self.is_empty():
raise IndexError("peek from empty stack")
return self.top.data
```
A Binary Search Tree (BST) is a data structure that stores elements in a hierarchical manner, where each node has at most two children. For any given node, all values in the left subtree are less than the node's value, and all values in the right subtree are greater. This property allows for efficient searching, insertion, and deletion operations.
A practical application of a linked list is in implementing a dynamic memory allocation system, such as managing free memory blocks in a heap, where each block can be linked to the next, allowing for efficient insertion and deletion of memory segments.
A hash table (or hash map) would be used for a dictionary.
The Java skill section on takluu.com is designed for freshers, intermediate developers, and experienced professionals aiming to crack Java-based technical interviews with confidence. Java remains one of the most in-demand programming languages, and mastering it opens the door to countless opportunities in backend development, enterprise solutions, Android apps, and cloud-based platforms.
Our Java category covers everything from Core Java concepts like OOPs (Object-Oriented Programming), Data Types, Loops, and Exception Handling to Advanced Java topics including Collections Framework, Multithreading, JDBC, Servlets, JSP, Lambda Expressions, and Streams. We provide practical coding examples, real interview questions (with answers), and key concept explanations that interviewers commonly test.
Whether you’re applying for a role like Java Developer, Backend Engineer, or Full Stack Developer, this section ensures you understand the logic, syntax, and problem-solving approaches that matter in real-world interviews. You’ll also find scenario-based questions and discussions around design patterns, JVM internals, garbage collection, and performance tuning — areas often explored in senior-level interviews.
Each topic is structured to help you revise quickly and efficiently, with quizzes and mock interviews to assess your understanding. Our content is curated by experts who have worked with Java across different domains and keep the material aligned with current industry trends.
At Takluu, we believe in not just learning Java — but preparing to think in Java. Get ready to face interviews with clarity, confidence, and a deep understanding of what makes Java so powerful and reliable.
