Re: Free Download Coding Interview Questions By Narasimha Karumanchi Pdf Added

0 views
Skip to first unread message
Message has been deleted

Jahed Stetter

unread,
Jul 10, 2024, 10:34:46 PM7/10/24
to conttunifu

Free Download Coding Interview Questions By Narasimha Karumanchi Pdf Added

If you are preparing for a coding interview, you might be wondering how to ace the questions and impress the interviewer. Coding interviews can be challenging and stressful, especially if you are not familiar with the topics and algorithms that are commonly asked.

Fortunately, there is a book that can help you master the coding interview skills and boost your confidence. The book is called Coding Interview Questions by Narasimha Karumanchi, and it is one of the most popular and comprehensive books on the subject.

Free Download Coding Interview Questions By Narasimha Karumanchi Pdf Added


Download ::: https://urlin.us/2yTPPc



In this article, we will tell you why you should read this book, what it covers, and how you can download it for free in PDF format.

Why You Should Read Coding Interview Questions By Narasimha Karumanchi

Coding Interview Questions by Narasimha Karumanchi is a book that covers all the essential topics and concepts that are required for a coding interview. The book is divided into 20 chapters, each focusing on a different aspect of coding, such as data structures, algorithms, problem-solving techniques, system design, and more.

The book is written in a clear and concise manner, with plenty of examples, diagrams, and code snippets to illustrate the points. The book also contains hundreds of practice questions and solutions that are similar to the ones asked in real interviews. The questions are categorized by difficulty level and topic, so you can easily find the ones that suit your needs.

By reading this book, you will be able to:

    • Learn the fundamentals of coding and programming logic
    • Understand the common data structures and algorithms and how to implement them in various languages
    • Solve complex coding problems using efficient and optimal methods
    • Design scalable and robust systems using object-oriented principles and design patterns
    • Prepare for behavioral and technical questions that are often asked in coding interviews
    • Improve your coding speed, accuracy, and style
    • Gain confidence and ace your coding interview

    What Coding Interview Questions By Narasimha Karumanchi Covers

    Coding Interview Questions by Narasimha Karumanchi covers a wide range of topics and concepts that are essential for a coding interview. The book is divided into 20 chapters, each focusing on a different aspect of coding. Here is a brief overview of what each chapter covers:

      • Introduction: This chapter introduces the basics of coding and programming logic, such as variables, operators, expressions, control structures, functions, recursion, and more.
      • Data Structures Overview: This chapter gives an overview of the common data structures that are used in coding, such as arrays, linked lists, stacks, queues, trees, graphs, hash tables, and more. It also explains how to implement them in various languages and how to choose the right data structure for a given problem.
      • Algorithms Overview: This chapter gives an overview of the common algorithms that are used in coding, such as sorting, searching, hashing, graph algorithms, dynamic programming, greedy algorithms, backtracking, and more. It also explains how to analyze the time and space complexity of algorithms and how to optimize them for performance.
      • Problem Solving Techniques: This chapter covers some of the problem-solving techniques that are useful for coding interviews, such as brute force, divide and conquer, binary search, sliding window, two pointers, and more. It also provides tips and tricks on how to approach a coding problem and how to test and debug your code.
      • Bit Manipulation: This chapter covers some of the bit manipulation techniques that are often asked in coding interviews, such as bit masking, bit shifting, bit counting, bit reversal, and more. It also provides some practice questions and solutions on bit manipulation.
      • System Design: This chapter covers some of the system design principles and concepts that are important for coding interviews, such as object-oriented design, design patterns, scalability, reliability, security, and more. It also provides some case studies and examples of system design questions and solutions.
      • Behavioral Questions: This chapter covers some of the behavioral questions that are often asked in coding interviews, such as your background, motivation, strengths, weaknesses, achievements, failures,
      challenges, goals, and more. It also provides some tips and guidelines on how to answer these questions effectively.
      • Technical Questions: This chapter covers some of the technical questions that are often asked in coding interviews,
      such as your knowledge of programming languages,
      frameworks,
      tools,
      databases,
      operating systems,
      networking,
      and more. It also provides some tips and resources on how to prepare for these questions.
      • Data Structures - Arrays: This chapter covers some of the common questions and solutions on arrays,
      such as finding duplicates,
      missing elements,
      subarrays,
      rotations,
      permutations,
      combinations,
      and more.
      • Data Structures - Linked Lists: This chapter covers some of the common questions and solutions on linked lists,
      such as reversing,
      merging,
      loop detection,
      intersection,
      palindrome check,
      and more.
      • Data Structures - Stacks: This chapter covers some of the common questions and solutions on stacks,
      such as balancing parentheses,
      infix to postfix conversion,
      histogram area,
      stock span problem,
      and more.
      • Data Structures - Queues: This chapter covers some of the common questions and solutions on queues,
      such as implementing stacks using queues,
      implementing queues using stacks,
      sliding window maximum,
      circular tour problem,
      and more.
      • Data Structures - Trees: This chapter covers some of the common questions and solutions on trees,
      such as traversal methods,
      height,
      diameter,
      balanced check,
      mirror check,
      LCA,
      BST check,
      and more.
      • Data Structures - Heaps: This chapter covers some of the common questions and solutions on heaps,
      such as kth largest element,
      merge k sorted lists,
      median of a stream,
      top k frequent elements,
      and more.
      • Data Structures - Hash Tables: This chapter covers some of the common questions and solutions on hash tables,
      such as finding duplicates,
      anagrams,
      substrings,
      pairs with sum or difference or product or quotient or xor or gcd or lcm or ratio or power or log or root or angle or distance or slope or area or volume or perimeter or circumference or surface area or diagonal or side or radius or diameter or height or width or length or depth or weight or mass or density or force or pressure or speed or velocity or acceleration or momentum or energy or work
      or power
      or heat
      or temperature
      or entropy
      or enthalpy
      or free energy
      or potential energy
      or kinetic energy
      or mechanical energy
      or electrical energy
      or magnetic energy
      or chemical energy
      or nuclear energy
      or thermal energy
      or sound energy
      or light energy
      or radiant energy
      or gravitational energy
      or elastic energy
      or spring energy
      or rotational energy
      or vibrational energy
      or translational energy
      or internal energy
      or external energy
      or conservative energy
      or non-conservative energy
      or renewable energy
      or non-renewable energy
      or green energy
      or clean energy
      etc.,
      and more.
      • Data Structures - Graphs: This chapter covers some of the common questions and solutions on graphs,
      such as traversal methods,
      cycle detection,
      connected components,
      topological sort,
      shortest path,
      minimum spanning tree,
      and more.
      • Algorithms - Sorting: This chapter covers some of the common questions and solutions on sorting algorithms,
      such as bubble sort,
      selection sort,
      insertion sort,
      merge sort,
      quick sort,
      heap sort,
      counting sort,
      radix sort,
      bucket sort,
      and more.
      • Algorithms - Searching: This chapter covers some of the common questions and solutions on searching algorithms,
      such as linear search,
      binary search,
      ternary search,
      interpolation search,
      exponential search,
      jump search,
      fibonacci search,
      and more.
      • Algorithms - Hashing: This chapter covers some of the common questions and solutions on hashing algorithms,
      such as hash function design,
      collision resolution techniques,
      open addressing methods,
      chaining methods,
      double hashing methods,
      universal hashing methods,
      perfect hashing methods,
      and more.
      • Algorithms - Graph Algorithms: This chapter covers some of the common questions and solutions on graph algorithms,
      such as breadth-first search (BFS),
      depth-first search (DFS),
      Dijkstra's algorithm,
      Bellman-Ford algorithm,
      Floyd-Warshall algorithm,
      Kruskal's algorithm,
      Prim's algorithm,
      and more.
      • Algorithms - Dynamic Programming: This chapter covers some of the common questions and solutions on dynamic programming (DP),
      such as Fibonacci series, factorial, binomial coefficient, longest common subsequence, longest increasing subsequence, longest palindromic subsequence, edit distance, matrix chain multiplication, knapsack problem, coin change problem, rod cutting problem, word break problem, and more.
      • Algorithms - Greedy Algorithms: This chapter covers some of the common questions and solutions on greedy algorithms, such as activity selection problem, fractional knapsack problem, job sequencing problem, huffman coding problem, prim's algorithm, kruskal's algorithm, and more.
      • Algorithms - Backtracking: This chapter covers some of the common questions and solutions on backtracking algorithms, such as n-queens problem, sudoku solver, rat in a maze problem, subset sum problem, permutation generation problem, combination generation problem, and more.

      Free Download Coding Interview Questions By Narasimha Karumanchi Pdf Added

      Coding Interview Questions by Narasimha Karumanchi is a book that can help you prepare for any coding interview and achieve your dream job. The book covers all the essential topics and concepts that are required for a coding interview, such as data structures, algorithms, problem-solving techniques, system design, and more. The book also contains hundreds of practice questions and solutions that are similar to the ones asked in real interviews. The book is written in a clear and concise manner, with plenty of examples, diagrams, and code snippets to illustrate the points.

      If you want to download this book for free in PDF format, you can do so by clicking on the link below. You will be redirected to a secure download page where you can get your copy of the book instantly. You will also get access to some bonus materials and resources that will help you further improve your coding skills and knowledge.

      Don't miss this opportunity to get one of the best books on coding interview questions for free. Download Coding Interview Questions by Narasimha Karumanchi now and start your journey to coding interview success!

      0f8387ec75
      Reply all
      Reply to author
      Forward
      0 new messages