Coding Interview Resources

Typical java interview questions sorted by experience Junior * Name some of the characteristics of OO programming languages * What are the access modifiers you know? What does each one do? * What is the difference between overriding and overloading a method in Java? * What’s the difference between an Interface and an abstract class? * Can an Interface extend another Interface? * What does the static word mean in Java? * Can a static method be overridden in Java? * What is Polymorphism? What about Inheritance? * Can a constructor be inherited? * Do objects get passed by reference or value in Java? Elaborate on that. * What’s the difference between using == and .equals on a string? * What is the hashCode() and equals() used for? * What does the interface Serializable do? What about Parcelable in Android? * Why are Array and ArrayList different? When would you use each? * What’s the difference between an Integer and int? * What is a ThreadPool? Is it better than using several “simple” threads? * What the difference between local, instance and class variables? Mid * What is reflection? * What is dependency injection? Can you name a few libraries? (Have you used any?) * What are strong, soft and weak references in Java? * What does the keyword synchronized mean? * Can you have “memory leaks” on Java? * Do you need to set references to null on Java/Android? * What does it means to say that a String is immutable? * What are transient and volatile modifiers? * What is the finalize() method? * How does the try{} finally{} works? * What is the difference between instantiation and initialisation of an object? * When is a static block run? * Why are Generics are used in Java? * Can you mention the design patterns you know? Which of those do you normally use? * Can you mention some types of testing you know? Senior * How does Integer.parseInt() works? * Do you know what is the “double check locking” problem? * Do you know the difference between StringBuffer and StringBuilder? * How is a StringBuilder implemented to avoid the immutable string allocation problem? * What does Class.forName method do? * What is Autoboxing and Unboxing? * What’s the difference between an Enumeration and an Iterator? * What is the difference between fail-fast and fail safe in Java? * What is PermGen in Java? * What is a Java priority queue? * *s performance influenced by using the same number in different types: Int, Double and Float? * What is the Java Heap? * What is daemon thread? * Can a dead thread be restarted? Source: medium.

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How to become a better software developer: 1. Admit you don't know it all 2. Practice, practice, practice 3. Take every opportunity to learn 4. Accept your peers as a valuable source of knowledge 5. Embrace failure as a way to grow

Leetcode patterns you should definitely checkout to Learn DSA(Java) from scratch 1️⃣ Arrays: Data structures, such as arrays, store elements in contiguous memory locations. They are versatile and useful for a wide variety of purposes. LeetCode Problems: • Search in Rotated Sorted Array (Problem #33) • Product of Array Except Self (Problem #238) • Find the Missing Number (Problem #268) 2️⃣Two Pointers: In Two Pointers, two pointers are maintained in the collection and can be manipulated to solve a problem efficiently. LeetCode problems: • Trapping Rain Water (Problem #42) • Longest Substring Without Repeating Characters (Problem #3) • Squares of a Sorted Array (Problem #977) 3️⃣In-place Linked List Traversal: As an explanation, in-place traversal is a technique for modifying linked list nodes without using extra space. LeetCode Problems: • Remove Nth Node From End of List (Problem #19) • Reorder List (Problem #143) 4️⃣Fast & Slow Pointers: This pattern uses two pointers to traverse a sequence at different speeds (fast and slow), often used to detect cycles or find a specific position in the sequence. LeetCode Problems: • Happy Number (Problem #202) • Subarray Sum Equals K (Problem #560) • Intersection of Two Linked Lists (Problem #160) 5️⃣Merge Intervals: This pattern involves merging overlapping intervals in a collection, often used in problems dealing with intervals or ranges. LeetCode problems: • Non-overlapping Intervals (Problem #435) • Minimum Number of Arrows to Burst Balloons (Problem #452) Join for more: https://t.me/crackingthecodinginterview DSA Interview Preparation Resources: https://topmate.io/coding/886874 ENJOY LEARNING 👍👍

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Here are top 40 commonly asked DSA questions that you can prepare for interviews. 𝗔𝗿𝗿𝗮𝘆𝘀 𝗮𝗻𝗱 𝗦𝘁𝗿𝗶𝗻𝗴𝘀: 1. Find the missing number in an array of integers. 2. Implement an algorithm to rotate an array. 3. Check if a string is a palindrome. 4. Find the first non-repeating character in a string. 5. Implement an algorithm to reverse a linked list. 6. Merge two sorted arrays. 7. Implement a stack using arrays/linked list. 8. Write a program to remove duplicates from a sorted array. 𝗟𝗶𝗻𝗸𝗲𝗱 𝗟𝗶𝘀𝘁𝘀: 1. Detect a cycle in a linked list. 2. Find the intersection point of two linked lists. 3. Reverse a linked list in groups of k. 4. Implement a function to add two numbers represented by linked lists. 5. Clone a linked list with next and random pointer. 𝗧𝗿𝗲𝗲𝘀 𝗮𝗻𝗱 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝗲𝗮𝗿𝗰𝗵 𝗧𝗿𝗲𝗲𝘀 (𝗕𝗦𝗧): 1. Find the height of a binary tree. 2. Check if a binary tree is balanced. 3. Find the lowest common ancestor in a binary tree. 4. Serialize and deserialize a binary tree. 5. Implement an algorithm for in-order traversal without recursion. 6. Convert a BST to a sorted doubly linked list. 𝗦𝗲𝗮𝗿𝗰𝗵𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝗼𝗿𝘁𝗶𝗻𝗴: 1. Implement binary search. 2. Find the kth smallest/largest element in an array. 3. Implement quicksort. 4. Count the number of inversions in an array. 5. Search in a rotated sorted array. Implement a sorting algorithm for linked lists. 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: 1. Find the longest common subsequence. 2. Calculate the nth Fibonacci number using dynamic programming. 3. Coin change problem. 4. Longest increasing subsequence. 5. Knapsack problem. 𝗚𝗿𝗮𝗽𝗵𝘀 𝗮𝗻𝗱 𝗗𝗙𝗦/𝗕𝗙𝗦: 1. Implement depth-first search (DFS) and breadth-first search (BFS). 2. Check if a graph is cyclic. 3. Shortest path in a weighted graph (Dijkstra's or Bellman-Ford). 4. Topological sort of a directed acyclic graph (DAG). 5. Count the number of connected components in an undirected graph. 𝗠𝗶𝘀𝗰𝗲𝗹𝗹𝗮𝗻𝗲𝗼𝘂𝘀: 1. Implement a LRU (Least Recently Used) cache. 2. Find the median of two sorted arrays. 3. Implement a stack that supports push, pop, top, and retrieving the minimum 4. element in constant time. 5. Design a data structure that supports insert, delete, getRandom() operations in constant time. 6. Check if a Sudoku is valid. Tech Community for YOU t.me/codetobuild PDFs and Resources t.me/staylearner

Top 40 commonly asked DSA questions : 𝗔𝗿𝗿𝗮𝘆𝘀 𝗮𝗻𝗱 𝗦𝘁𝗿𝗶𝗻𝗴𝘀: 1. Find the missing number in an array of integers. 2. Implement an algorithm to rotate an array. 3. Check if a string is a palindrome. 4. Find the first non-repeating character in a string. 5. Implement an algorithm to reverse a linked list. 6. Merge two sorted arrays. 7. Implement a stack using arrays/linked list. 8. Write a program to remove duplicates from a sorted array. 𝗟𝗶𝗻𝗸𝗲𝗱 𝗟𝗶𝘀𝘁𝘀: 1. Detect a cycle in a linked list. 2. Find the intersection point of two linked lists. 3. Reverse a linked list in groups of k. 4. Implement a function to add two numbers represented by linked lists. 5. Clone a linked list with next and random pointer. 𝗧𝗿𝗲𝗲𝘀 𝗮𝗻𝗱 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝗲𝗮𝗿𝗰𝗵 𝗧𝗿𝗲𝗲𝘀 (𝗕𝗦𝗧): 1. Find the height of a binary tree. 2. Check if a binary tree is balanced. 3. Find the lowest common ancestor in a binary tree. 4. Serialize and deserialize a binary tree. 5. Implement an algorithm for in-order traversal without recursion. 6. Convert a BST to a sorted doubly linked list. You can check these amazing resources for DSA Preparation All the best 👍👍

Set of 12 Leetcode Questions on Linked List 👇👇 Easy : 21: Merge Two Sorted Lists 203: Remove Linked List Elements 206: Reverse Linked List 876: Middle of the Linked List Medium : 19: Remove Nth Node From End of List 24: Swap Nodes in Pairs 116: Populating Next Right Pointers in Each Node 117. Populating Next Right Pointers in Each Node Il 237: Delete Node in a Linked List 707: Design Linked List Hard : 23: Merge k Sorted Lists 25: Reverse Nodes in k-Group Join for more: https://t.me/crackingthecodinginterview DSA Interview Preparation Resources: https://topmate.io/coding/886874 ENJOY LEARNING 👍👍

Common coding interview questions 🧑‍💻 1. Reverse a String: Write a function to reverse a string. 2. Find the Missing Number: Given an array containing n distinct numbers taken from 0, 1, 2, ..., n, find the one that is missing from the array. 3. Palindrome: Check if a given string is a palindrome or not. 4. Fibonacci Series: Write a function to generate the Fibonacci sequence up to a certain number of terms. 5. Binary Search: Implement the binary search algorithm to find an element in a sorted array. 6. Sorting Algorithms: Implement sorting algorithms such as bubble sort, selection sort, merge sort, or quicksort. 7. Linked Lists: Implement basic operations on linked lists such as insertion, deletion, and reversing. 8. Tree Traversal: Implement depth-first search (DFS) and breadth-first search (BFS) for binary trees. 9. Stacks and Queues: Implement basic operations on stacks and queues. 10. Dynamic Programming: Solve problems using dynamic programming techniques such as the knapsack problem, longest common subsequence, or Fibonacci series. 11. Graph Algorithms: Implement graph traversal algorithms like depth-first search (DFS) and breadth-first search (BFS), and algorithms like Dijkstra’s shortest path algorithm or Kruskal’s minimum spanning tree algorithm. 12. Two Sum Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. Join for more: https://t.me/crackingthecodinginterview 👍 or ❤️ if need similar posts

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Thanks for the amazing response. Here are the answers to each question 👇👇 1. How do you reverse a string? Example:

   def reverse_string(s):
       return s[::-1]
   
   print(reverse_string("hello"))  # Output: "olleh"
   

2. How do you determine if a string is a palindrome? Example:

   def is_palindrome(s):
       return s == s[::-1]
   
   print(is_palindrome("radar"))  # Output: True
   

3. How do you calculate the number of numerical digits in a string? Example:

   def count_digits(s):
       return sum(1 for char in s if char.isdigit())
   
   print(count_digits("abc123def456"))  # Output: 6

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