Cracking the Coding Interview: 150 Programming Interview Questions and Solutions 4th Edition by Gayle Laakmann ISBN 145157827X 9781451578270

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Product details:

ISBN 10:       145157827X
ISBN 13: 978-1451578270
Author:         Gayle Laakmann

Now in the 4th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides:

* 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions.

* Ten Mistakes Candidates Make — And How to Avoid Them: Don’t lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues.

* Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time.

* Interview War Stories: A View from the Interviewer’s Side: Humorous but instructive stories from our interviewers show you how some candidates really flopped on the most important question – and how you can avoid doing the same.

Cracking the Coding Interview: 150 Programming Interview Questions and Solutions 4th Table of contents:

1. Chapter 1: Arrays and Strings

   • Problem 1: Check if a string has all unique characters
   • Problem 2: Implement an algorithm to perform string compression
   • Problem 3: Rotate an array
   • Problem 4: Find the longest substring without repeating characters
   • Problem 5: Implement an algorithm to reverse a string in place
   • Problem 6: String permutation check
   • Problem 7: Zero Matrix

2. Chapter 2: Linked Lists

   • Problem 1: Remove duplicates from a linked list
   • Problem 2: Implement an algorithm to find the middle element of a linked list
   • Problem 3: Detect a loop in a linked list
   • Problem 4: Implement an algorithm to reverse a linked list
   • Problem 5: Merge two sorted linked lists
   • Problem 6: Find the kth to last element of a linked list

3. Chapter 3: Stacks and Queues

   • Problem 1: Implement a stack using queues
   • Problem 2: Implement a queue using stacks
   • Problem 3: Sort a stack
   • Problem 4: Implement a queue that supports both enqueue and dequeue in constant time

4. Chapter 4: Trees and Graphs

   • Problem 1: Implement a binary tree traversal (pre-order, in-order, post-order)
   • Problem 2: Check if a binary tree is balanced
   • Problem 3: Find the first common ancestor of two nodes in a binary tree
   • Problem 4: Implement breadth-first search (BFS) and depth-first search (DFS)
   • Problem 5: Find the shortest path in a graph
   • Problem 6: Implement a graph using adjacency lists

5. Chapter 5: Recursion and Dynamic Programming

   • Problem 1: Implement the Fibonacci sequence using recursion and dynamic programming
   • Problem 2: Find all subsets of a set (power set)
   • Problem 3: Solve the “n-queens” problem using recursion
   • Problem 4: Solve the “coin change” problem using dynamic programming
   • Problem 5: Implement the “longest common subsequence” algorithm
   • Problem 6: Solving the “knapsack problem”

6. Chapter 6: Bit Manipulation

   • Problem 1: Determine if a number is a power of two
   • Problem 2: Count the number of bits that are set to 1 in an integer
   • Problem 3: Swap two numbers without using a temporary variable
   • Problem 4: Find the missing number in a sequence of integers

7. Chapter 7: Object-Oriented Design

   • Problem 1: Design a parking lot system
   • Problem 2: Design a deck of cards
   • Problem 3: Design a library management system
   • Problem 4: Design a URL shortener

8. Chapter 8: System Design and Scalability

   • Problem 1: Design a URL shortening service
   • Problem 2: Design a chat server
   • Problem 3: Design an online bookstore system
   • Problem 4: Design a recommendation system
   • Problem 5: Design a load balancer

9. Chapter 9: Sorting and Searching

   • Problem 1: Implement quicksort
   • Problem 2: Implement mergesort
   • Problem 3: Implement binary search
   • Problem 4: Search for an element in a rotated sorted array
   • Problem 5: Find the k-th largest element in an array

10. Chapter 10: Scalability and Memory Limits

    • Problem 1: Explain how you would scale a system for high availability
    • Problem 2: Design a system that processes large amounts of data efficiently
    • Problem 3: Discuss ways to manage memory usage in large systems

11. Chapter 11: Threads and Locks

    • Problem 1: Implement a thread-safe queue
    • Problem 2: Design a multi-threaded solution for a given problem
    • Problem 3: Implement a lock manager in a distributed system

12. Chapter 12: Databases and Caching

    • Problem 1: Design a cache system
    • Problem 2: Explain how to use a database to store user data efficiently
    • Problem 3: Design a database schema for an online store

13. Chapter 13: Additional Topics

    • Problem 1: Analyze and optimize SQL queries
    • Problem 2: Work with NoSQL databases
    • Problem 3: Implement a search algorithm for large datasets
14.  

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