# Python Quick Interview Guide: Top Expert-Led Coding Interview Question Bank for Python Aspirants

- Length: 430 pages
- Edition: 1
- Language: English
- Publisher: BPB Publications
- Publication Date: 2021-04-10
- ISBN-10: 9389423309
- ISBN-13: 9789389423303
- Sales Rank: #0 (See Top 100 Books)

**Quick solutions to frequently asked algorithm and data structure questions.**

**Key Features**

- Learn how to crack the Data structure and Algorithms Code test using the top 75 questions/solutions discussed in the book.
- Refresher on Python data structures and writing clean, actionable python codes..
- Simplified solutions on translating business problems into executable programs and applications..

**Description**

Python is the most popular programming language, and hence, there is a huge demand for Python programmers. Even if you have learnt Python or have done projects on AI, you cannot enter the top companies unless you have cleared the Algorithms and data Structure coding test.

This book presents 75 most frequently asked coding questions by top companies of the world. It not only focuses on the solution strategy, but also provides you with the working code. This book will equip you with the skills required for developing and analyzing algorithms for various situations. This book teaches you how to measure Time Complexity, it then provides solutions to questions on the Linked list, Stack, Hash table, and Math. Then you can review questions and solutions based on graph theory and application techniques. Towards the end, you will come across coding questions on advanced topics such as Backtracking, Greedy, Divide and Conquer, and Dynamic Programming.

After reading this book, you will successfully pass the python interview with high confidence and passion for exploring python in future.

**What you will learn**

- Design an efficient algorithm to solve the problem.
- Learn to use python tricks to make your program competitive.
- Learn to understand and measure time and space complexity.
- Get solutions to questions based on Searching, Sorting, Graphs, DFS, BFS, Backtracking, Dynamic programming.

**Who this book is for**

This book will help professionals and beginners clear the Data structures and Algorithms coding test. Basic knowledge of Python and Data Structures is a must.

**Table of Contents**

1. Lists, binary search and strings

2. Linked lists and stacks

3. Hash table and maths

4. Trees and graphs

5. Depth first search

6. Breadth first search

7. Backtracking

8. Greedy and divide and conquer algorithms

9. Dynamic programming

**About the Authors**

**Professor Shyamkant Limaye** spent 18 years in the computer industry and 30 years in teaching electronics engineering students. His experience includes a two-year stint as a system analyst in the USA. In 1971, he graduated from Visvesvaraya National Institute of Technology in Electrical Engineering with a gold medal. He did masters from IIT Kanpur and Doctorate in electronics from RTM Nagpur University. He has guided ten students for PhD. He published a text book on VHDL programming in 2007. He has also published a thriller novel titled “Dual reality” in 2011. Currently, he is a Professor in the Electronics and Telecomm Department at St. Vincent Pallotti College of Engineering and Technology, Nagpur.

**LinkedIn profile**: https://www.linkedin.com/in/shyam-limaye-35816ba/

**Blog links**: limayesir.wordpress.com

Cover Page Title Page Copyright Page Dedication Page About the Author About the Reviewer Acknowledgements Preface Errata Table of Contents 1. Lists, Binary Search, and Strings Structure Objectives 1.1 Time and Space Complexity 1.1.1 O(n) 1.1.2 O(1) 1.1.3 O(n2) 1.1.4 O(n3) 1.1.5 O(n log n) 1.1.6 O(2n) 1.1.7 Space complexity 1.2 Linear Data Structures in Python 1.2.1 The list class 1.2.2 NumPy arrays 1.2.3 Strings 1.3 Sorting and Searching Searching 1.4 Question 1: What is the position of a target in a given sorted array? Problem statement Solution format Strategy Approach 1 – Linear Search Python code Complexity Analysis Approach 2 – Binary Search Python code Complexity Analysis 1.5 Question 2 – Is the given integer a valid square? Problem statement Solution format Strategy Approach 1: Linear Search Python code Complexity Analysis Approach 2 – Summation of Arithmetic Progression Python code Complexity Analysis 1.6 Question 3 – How will you move zeroes in a given array to the end? Problem statement Solution format Strategy Pseudo code Python code Complexity Analysis 1.7 Question 4 – How many boats are required to save people? Problem statement Solution format Strategy Python code Complexity Analysis 1.8 Question 5 – Is the given array a valid mountain array? Problem statement Solution format Strategy Python code Complexity Analysis 1.9 Question 6 – Which container can store maximum water? Problem statement Strategy Brute force approach Pinching window approach Answer format Python code Complexity Analysis 1.10 Question 7 – Which was the first faulty version of the software? Problem statement Solution format Strategy Python code Complexity Analysis 1.11 Question 8 – What are all the subsets of a given set of integers? Problem statement Solution format Strategy Approach 1 – Growing from seeds Python code Complexity Analysis Approach 2: Binary Representation Python code Complexity Analysis Python code Complexity Analysis 1.12 Background – Measuring the execution time and the time complexity 1.12.1 Introduction 1.12.2 Using perf_counter 1.12.3 Use of timeit 1.12.4 Plotting the time complexity graphs Python code Plotting a graph for the sort function Python code Plotting a graph for the subsets of a set problem Python code 1.13 Question 9 – What is the maximum sum of a subarray of a given array? Problem statement Solution format Strategy Brute force method Python code Complexity Analysis Python code Efficient method Python code Python code 1.14 Question 10 – What is the integer part of the square root of a given integer? Problem statement Solution format Strategy Approach 1 – Linear search Python code Complexity Analysis Approach 2 – Binary search Python code Complexity Analysis 1.15 Question 11 – What are the first and last positions of a target number in a given sorted array? Problem statement Solution format Strategy Linear search (Brute force) Python code Complexity Analysis Binary search Python code Python code Complexity Analysis 1.16 Question 12 – What is the position of a search target in a 2D matrix? Problem statement Solution format Strategy Approach 1 – Linear search Complexity Analysis Approach 2 – 2D Linear search Python code Complexity Analysis Approach 3 – 2D Binary search Python code Complexity Analysis 1.17 Question 13 – How will you convert an integer into a roman numeral? Problem statement Solution format Strategy Python code Complexity Analysis 1.18 Question 14 – How will you construct Pascal’s triangle? Problem statement Solution format Strategy Python code Complexity Analysis Conclusion Points to Remember MCQs Answers to MCQs Questions Key Terms 2. Linked Lists and Stacks Structure Objectives 2.1 Basics of Linked Lists 2.1.1 Node, the basic building block 2.1.2 Creating and displaying a linked list Python code 2.1.3 Adding a node in the beginning Python code 2.1.4 Adding a node at the end Python code 2.1.5 Creating a list from an array Python code 2.2 Question 15 – How will you merge two sorted lists? Problem statement Solution format Strategy Python code Complexity Analysis 2.3 Question 16 – How will you detect a cycle in a linked list? Problem statement Solution format Strategy Python code Complexity Analysis 2.4 Question 17 – How will you reverse a linked list? Problem statement Solution format Strategy Python code Complexity Analysis 2.5 Question 18 – How will you add two linked lists? Problem statement Solution format Strategy Python code Complexity Analysis 2.6 Question 19 – How will you remove the nth node from the right? Problem statement Solution format Strategy Python code Complexity Analysis 2.7 Question 20 – How will you create odd and even linked lists? Problem statement Solution format Strategy Python code Complexity Analysis 2.8 Question 21 – How will you evaluate the reverse polish postfix expression? Problem statement Solution format Strategy Python code Complexity Analysis 2.9 Question 22 – How will you achieve the minimum implementation of a stack using a list? Problem statement Solution format Strategy Approach 1: O(n) Python code Approach 2 – O(1) Python code Complexity Analysis Conclusion Points to Remember MCQs Answers to MCQs Questions Key terms 3. Hash Table and Maths Structure Objectives 3.1 Implementation of Hash Table in Python Using “defaultdict” Using “set” 3.2 Question 23 – How will you find if an array contains duplicates? Problem statement Solution format Strategy Approach 1 – Brute force Python code Complexity Analysis Approach 2 – Sorting Python code Complexity Analysis Approach 3 – Using the “set” method Python code Complexity Analysis Approach 4: Using hash tables Python code Complexity Analysis 3.3 Question 24 – How will you find if an array contains duplicates in the vicinity? Problem statement Solution format Strategy Python code Complexity Analysis 3.4 Question 25 – How will you find the majority element in an array? Problem statement Solution format Strategy Approach 1 – From basics Python code Approach 2 – Using the “count” method of the list class Python code Approach 3 – Using the “get” method of the dictionary with default Python code Approach 4 – Using the “Counter” method from the collections module Python code Complexity Analysis 3.5 Question 26 – How will you find if the string of brackets is valid? Problem statement Solution format Strategy Pseudo code Python code Complexity Analysis 3.6 Question 27 – How will you find two numbers whose sum equals the target? Problem statement Solution format Strategy Approach 1 – Brute force method Python code Complexity Analysis Approach 2 – Hash table Python code Complexity Analysis 3.7 Question 28 – How will you count the primes less than n? Problem statement Solution format Strategy Approach 1 – Brute force method Python code Complexity Analysis Approach 2 – Eratosthenes sieve method Python code Complexity Analysis 3.7 Question 29 – How will you find the longest substring without the repeating characters? Problem statement Solution format Strategy Approach 1 – Brute force Python code Complexity Analysis Approach 2 – Sliding window Python code Complexity Analysis 3.8 Question 30 – How will you convert a roman numeral into a decimal numeral? Problem statement Solution format Strategy Python code Complexity Analysis 3.9 Question 31 – How will you identify a single number in an array? Problem statement Solution format Strategy Approach 1 – Using a list Python code Complexity Analysis Approach 2 – Using a hash table Python code Complexity Analysis Approach 3 –Algebraic method Python code Complexity Analysis Conclusion Points to Remember MCQs Answers to the MCQs Questions Key terms 4. Trees and Graphs Structure Objectives 4.1 Basics of Graph Theory 4.2 Representation and Manipulation of Graphs 4.2.1 Representation 4.2.2 Manipulation of graphs Python code 4.3 Representation and Manipulation of Trees 4.3.1 Representation of binary trees in memory 4.3.2 Creation and display Python code Python code Python code 4.4 Recursion 4.5 Question 32 – How will you detect a redundant road connection? Problem statement Solution format Strategy Python code Complexity 4.6 Question 33 – How will you find the lowest common ancestor in a binary tree? Problem statement Solution format Strategy Python code Complexity Analysis 4.7 Question 34 – Who is the town judge? Problem statement Solution format Strategy Python code Complexity Analysis 4.8 Question 35 – How will you select flowers so that the adjacent gardens are not the same? Problem statement Solution format Strategy Python code Complexity Analysis Conclusion Points to remember MCQs Answers to MCQs Questions Key terms 5. Depth First Search Structure Objectives 5.1 DFS Traversal of Graphs and Trees Python code Python code Complexity Analysis DFS Traversal of Trees 5.2 Question 36 – How will you reconstruct the itinerary from tickets? Problem statement Solution format: Strategy Python code Complexity Analysis 5.3 Question 37 – How will you validate a symmetric binary tree? Problem statement Solution format Strategy Approach 1 – Recursive Python code Complexity Analysis Approach 2 – Iterative Python code Complexity Analysis 5.4 Question 38 – How will you find the maximum height of a binary tree? Problem statement Solution format Strategy Python code Complexity Analysis 5.5 Question 39 – How will you find the path sum in a binary tree? Problem statement Solution format Strategy Python code Complexity Analysis 5.6 Question 40 – What is the Kth smallest element in a binary search tree? Problem statement Solution format Strategy Python code Complexity Analysis: 5.7 Question 41 – How will you find the maximum path sum in a binary tree? Problem statement Solution format Strategy Python code Complexity Analysis 5.8 Question 42 – How will you validate a balanced binary tree? Problem statement Solution format Strategy Python code Complexity Analysis 5.9 Question 43 – How will you validate a binary search tree? Problem statement Solution format Strategy Python code Complexity Analysis 5.10 Question 44 – What is the number of islands? Problem statement Solution format Strategy Python code Complexity Analysis 5.11 Question 45 – How will you remove the surrounded islands? Problem statement Solution format Strategy Python code Complexity Analysis 5.12 Question 46 – Is the course schedule valid? Problem statement Solution format Strategy Python code Complexity Analysis 5.13 Question 47 – How will you reward a sales manager? Problem statement Solution format Strategy Python code Complexity Analysis Conclusion Points to Remember MCQs Answers to the MCQs Questions Key Terms 6. Breadth First Search Structure Objectives 6.1 Basic BFS graph class Python code Recursive approach Python code 6.2 Question 48 – How will you print a tree level-wise? Problem statement Solution format Strategy Python code Complexity 6.3 Question 49 – How will you build a word ladder between two words by changing one letter at a time? Problem statement Solution format Strategy Python code Complexity 6.4 Question 50 – How will you find a course sequence according to pre-requisites? Problem statement Solution format Strategy Python code Complexity 6.5 Question 51 – How will you test if two nodes of a tree are cousins? Problem statement Solution format Strategy Python code Complexity 6.6 Question 52 – How will you find the shortest bridge across two islands? Problem statement Solution format Strategy Python code Complexity Conclusion Points to remember MCQs Answers to MCQs Questions Key terms 7. Backtracking Structure Objectives 7.1 Backtracking principle Some famous backtracking problems Place N-Queens Find a Hamiltonian circuit in the graph 7.2 Question 53 – How will you search a word in a grid? Problem statement Solution format Strategy Python code Complexity Analysis 7.3 Question 54 – How will you traverse a maze? Problem statement Solution format Strategy Python code Complexity Analysis 7.4 Question 55 – How will you find all the combinations of n numbers taken k at a time? Problem statement Solution format Strategy Python code Complexity Analysis 7.5 Question 56 – How will you partition a string into palindrome segments? Problem statement Solution format Strategy Python code Complexity Analysis 7.6 Question 57 – What is the sum of the elements of the BST within a range? Problem statement Solution format Strategy Python code Complexity Analysis 7.7 Question 58 – How will you partition a set into k subsets having equal sum? Problem statement Solution format Strategy Python code Complexity Analysis Conclusion Points to Remember MCQs Answers to MCQs Questions Key terms 8. Greedy and Divide-and-Conquer Algorithms Structure Objectives 8.1 Some famous problems on greedy methodology 8.2 Some famous applications of divide-and-conquer strategy 8.3 Question 59 – How will you maximize the value in a knapsack? Problem statement Solution format Strategy Python code Complexity Analysis 8.4 Question 60 – How will you remove k digits from a number to get the smallest number? Problem statement Solution format Strategy Python code Complexity Analysis 8.5 Question 61 – Can you provide the correct change to lemonade customers? Problem statement Solution format Strategy Python code Complexity Analysis 8.6 Question 62 – How will you use the divide-and-conquer strategy for sorting? Problem statement Solution format Strategy Python code Complexity Analysis 8.7 Question 63 – How will you find the k closest points to the origin? Problem statement Solution format Strategy Approach 1 – Sorting Python code Complexity Analysis Approach 2 – Selection sort Python code Complexity Analysis Conclusion Points to Remember MCQs Answers to the MCQs Questions Key terms 9. Dynamic Programming Structure Objectives 9.1 Principles of dynamic programming Problem statement Python code Python code Problem statement Strategy Python code 9.2 Question 64 – How will you maximize the value in a 0/1 knapsack? Problem statement Solution format Strategy Python code Complexity Analysis 9.3 Question 65 – How to maximize the sales of a door-to-door salesman? Problem statement Solution format Strategy Python code Complexity Analysis 9.4 Question 66 – What is the best time to buy and sell stock? Problem statement Solution format Strategy Approach 1 – Brute force Python code Complexity Analysis Approach 2 – Dynamic programming Python code Complexity Analysis 9.5 Question 67 – What is the best time to buy and sell stock, part 2? Problem statement Solution format Strategy Python code Complexity Analysis 9.6 Question 68 – In how many ways can you climb the stairs? Problem statement Solution format Strategy Approach 1 – Pure dynamic programming Python code Complexity Analysis Approach 2 – Compact array Python code Complexity Analysis Approach 3 – Matrix exponentiation Python code Python code Complexity Analysis Approach 4 – Binet’s formula Python code Complexity Analysis 9.7 Question 69 – How will you minimize the cost of climbing stairs? Problem statement Solution format Strategy Consider i = 1 Consider i = 2 Python code Complexity Analysis 9.8 Question 70 – What is the minimum number of coins to dispense the change? Problem statement Solution format Strategy Consider i = 1 Consider i = 2 Consider i = 3 Consider i = 4 Consider i = 5 Python code Python code Complexity Analysis 9.9 Question 71 – How many coin patterns to dispense the change? Problem statement Solution format Strategy Consider i= first coin and value = 1 Now consider i=2 Now consider i=5 Consider i = 2 (Only one value) Python code Complexity Analysis 9.10 Question 72 – How many unique paths exist in a square grid? Problem statement Solution format Strategy Python code Complexity Analysis 9.11 Question 73 – How many unique paths exist in a square grid having obstacles? Problem statement Solution format Strategy Python code Complexity Analysis 9.12 Question 74 – What is the longest palindromic substring of a given string? Problem statement Solution format Strategy Consider j=1 Consider j=2 Consider j=3 Consider j=4 Python code Complexity Analysis 9.13 Question 75 – How much rain water can be trapped in the ridges? Problem statement Solution format Strategy Python code Complexity Analysis Conclusion Points to Remember MCQs Answers to MCQs Questions Key terms Index

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