String Algorithms For The Day Before Your Coding Interview
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String Algorithms For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-05-11
String Algorithms For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-11 with categories.
Strings are fundamental data type in real world and developing algorithms to deal with it is an important domain. In interviews, often, string algorithms are most insightful and challenging.In this guide for the day before your coding interview, we have explored some problems and demonstrated the thought process to solve it starting from the brute force solutions. In the process, we have covered all fundamental ideas along with applying Dynamic Programming to String algorithms so that you are able to solve all string-based problems. Some of the problems we have covered are: - Check substring: This is an important fundamental problem where we learn how strings can be handled just like numeric data and algorithms for numeric data can be leveraged.Some of the core concepts we explored are string hashing, rolling hash and much more.- Longest common substring: This is a core problem as this uses the concepts we gained in the previous problems and an alternative solution is to use Dynamic Programming.The core idea is to apply Dynamic Programming over two different string data.- Longest repeating substring: In line with our previous problem, we explored how to apply Dynamic Programming for this problem. The key distinction is that we are dealing with just 1 string instead of 2 strings as in the previous problem. Unlike the previous problem, the Dynamic Programming approach is the only optimal solution.With these problems and the thought process to solve them, you will be fully prepared.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from professors at The University of Tokyo and Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.Books in this series ("Day before coding Interview"): - Problems for the day before your coding interview- Greedy Algorithms for the day before your Coding Interview- Dynamic Programming for the day before your coding interview- String Algorithms for the day before your Coding Interview
Graph Algorithms For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-06-07
Graph Algorithms For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-07 with categories.
Graph Algorithms are fundamentally important and different than other Algorithmic domains as it gives an inherent structure to the data and we operate on it. This is one of the most important domains for Coding Interviews focused on problem solving.Following are some of the problems we have explored which involve ideas to solve a wider range of problems: - All paths between two verticesThis is a fundamental problem as modifications to it results in solving a wide range of problems. In the process of formulating a solution, we have explored core ideas like graph traversal techniques like Depth First Search and Graph representation like Adjacency List.- Mother VertexThis is an important problem as it highlights two key ideas of Graph problems that is connectivity and importance of specific vertices.We have solved this problem using two approaches where the efficient approach is a modification of Depth First Search and takes O(V^2) time complexity.- Paths with K edgesThis is an important problem as it demonstrates how we can utilize ideas from Dynamic Programming and Divide and Conquer to solve Graph Problems.We have demonstrated four approaches where the brute force approach takes O(2^V x V) time, improving it with a structure we get to O(V^K) time, further applying Dynamic Programming to it, we get to O(V^3 * K) time and finally, using Divide and Conquer to optimize calculation, we arrive at O(V^3 * logK) time.This is a perfect Graph Algorithm problem.We have covered more variants of the problems and ideas in our conclusion to give a bigger picture and better equip you to solve any problem.With these problems and the thought process to solve them, you will be fully prepared.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from professors at The University of Tokyo and Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.Books in this series ("Day before coding Interview"): - Problems for the day before your coding interview- Greedy Algorithms for the day before your Coding Interview- Dynamic Programming for the day before your coding interview- String Algorithms for the day before your Coding Interview- Mathematical Algorithms for the day before your Coding Interview- Graph Algorithms for the day before your Coding Interview
Mathematical Algorithms For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-05-31
Mathematical Algorithms For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-31 with categories.
Mathematical Algorithms are fundamentally important as several real-life problems can be modeled as a Mathematical problem. Solving such problems require mathematical insights.These problems are a fundamental part of Interviews as it illustrates the thinking process of the candidate clearly. By going through the problems in this book, you will be well prepared to tackle any Mathematical problem.Following are some of the problems we have explored which involve ideas to solve a wider range of problems.- Smallest number with multiplesThis is a unique problem where we learn key insights regarding Prime factorization, role of primes in multiples and much more.We improve the time complexity of this problem starting from O(N^3 * log N) to O(N * log N * log N) to O(N * log log N).- Largest palindromeIn this problem, we have reduced 810000 comparisons to 362 comparisons based on three deep insights. This is a dramatic improvement and demonstrates that even if time complexity cannot be improved, the performance can be improved significantly.- GCD of sub-partsThis problem brings up key insights involving GCD (a common and important topic) and in the process, we have explored several standard algorithms like Euclidean' s GCD Algorithm in the path of developing our custom algorithm for the given problem.- Next PermutationThis problem demonstrates a significant improvement from O(N^N x N x logN) time to O(N) time complexity. Moreover, it illustrates that improving time complexity does not necessarily mean increasing space complexity as it reduces space complexity from O(N^N) to O(1).This brings in idea of Greedy Algorithms to Mathematical Algorithm and in the process, we have explored several standard algorithms like Heap's Algorithm.With these problems and the thought process to solve them, you will be fully prepared.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from professors at The University of Tokyo and Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.Books in this series ("Day before coding Interview"): - Problems for the day before your coding interview- Greedy Algorithms for the day before your Coding Interview- Dynamic Programming for the day before your coding interview- String Algorithms for the day before your Coding Interview- Mathematical Algorithms for the day before your Coding Interview
Dynamic Programming For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-04-28
Dynamic Programming For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with categories.
Dynamic Programming is a fundamental algorithmic technique which is behind solving some of the toughest computing problems.In this book, we have covered some Dynamic Programming problems which will give you the general idea of formulating a Dynamic Programming solution and some practice on applying it on a variety of problems.Some of the problems we have covered are: * Permutation coefficientThis is a basic problem but is significant in understanding the idea behind Dynamic Programming. We have used this problem to: * Present the two core ideas of Dynamic Programming to make the idea clear and help you understand what Dynamic Programming mean. * Show another approach which can same performance (in terms of time complexity) and understand how it is different from our Dynamic Programming approach* Longest Common SubstringThis is an important problem as we see how we can apply Dynamic Programming in string problems. In the process, we have demonstrated the core ideas of handling string data which helps in identifying the cases when Dynamic Programming is the most efficient approach.* XOR valueThis is another significant problem as we are applying Dynamic Programming on a Number Theory problem more specifically problem involving subset generation. The search space is exponential in size but with our efficient approach, we can search the entire data in polynomial time which is a significant improvement.This brings up a fundamental power of Dynamic Programming: Search exponential search space in polynomial time* K edgesIn line with our previous problems, in this problem, we have applied Dynamic Programming in a graph-based problem. This is a core problem as in this we learn that: * Dynamic Programming makes the solution super-efficient * Extending the Dynamic Programming solution using Divide and Conquer enables us to solve it more efficientlyThis problem shows a problem where Dynamic Programming is not the most efficient solution but is in the right path.We have covered other relevant solutions and ideas as well so that you have the complete idea of the problems and understand deeply the significance of Dynamic Programming in respect to the problems.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from professors at The University of Tokyo and Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.
Cracking The Coding Interview
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Author : Gayle Laakmann McDowell
language : en
Publisher: CreateSpace
Release Date : 2011
Cracking The Coding Interview written by Gayle Laakmann McDowell and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computer programmers categories.
Now in the 5th 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. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. 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.
Coding Interviews
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Author : Harry He
language : en
Publisher: Apress
Release Date : 2013-01-31
Coding Interviews written by Harry He and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-31 with Computers categories.
This book is about coding interview questions from software and Internet companies. It covers five key factors which determine performance of candidates: (1) the basics of programming languages, data structures and algorithms, (2) approaches to writing code with high quality, (3) tips to solve difficult problems, (4) methods to optimize code, (5) soft skills required in interviews. The basics of languages, algorithms and data structures are discussed as well as questions that explore how to write robust solutions after breaking down problems into manageable pieces. It also includes examples to focus on modeling and creative problem solving. Interview questions from the most popular companies in the IT industry are taken as examples to illustrate the five factors above. Besides solutions, it contains detailed analysis, how interviewers evaluate solutions, as well as why they like or dislike them. The author makes clever use of the fact that interviewees will have limited time to program meaningful solutions which in turn, limits the options an interviewer has. So the author covers those bases. Readers will improve their interview performance after reading this book. It will be beneficial for them even after they get offers, because its topics, such as approaches to analyzing difficult problems, writing robust code and optimizing, are all essential for high-performing coders.
Smart And Gets Things Done
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Author : Avram Joel Spolsky
language : en
Publisher: Apress
Release Date : 2007-10-17
Smart And Gets Things Done written by Avram Joel Spolsky and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-17 with Computers categories.
A guide to attracting, recruiting, interviewing, and hiring the best technical talent. A comprehensive system for hiring top–notch technical employees Packed with useful information and specific advice written in a breezy, humorous style Learn how to find great people—and get them to work for you—in an afternoon! The top software developers are ten times more productive than average developers. Ten times. You can't afford not to hire them. But if you haven't been reading Joel Spolsky's books or blog, you probably don't know how to find them and make them want to work for you. In this brief book, Joel reveals all his secrets—from his years at Microsoft, and as the co–founder of Fog Creek Software—for recruiting the best developers in the world. If you've ever wondered what you should be looking for in a resume, if you've ever struggled to decide whether to hire someone at the end ofan interview, or if you're wondering why you can't find great programmers, stop everything and read this book.
Algorithms Part Ii
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Author : Robert Sedgewick
language : en
Publisher: Addison-Wesley Professional
Release Date : 2014-02-01
Algorithms Part Ii written by Robert Sedgewick and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-01 with Computers categories.
This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
Grokking Algorithms
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Author : Aditya Bhargava
language : en
Publisher: Simon and Schuster
Release Date : 2016-05-12
Grokking Algorithms written by Aditya Bhargava and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-12 with Computers categories.
"This book does the impossible: it makes math fun and easy!" - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors