Author: Fissha Seyoum Teshome
Publisher: Fissha Seyoum Teshome
ISBN:
Category : Computers
Languages : en
Pages : 252
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Book Description
This book presents optimal solutions for the problem statements at hand. The purpose of the book is to help the interviewee save time while preparing for Amazon, Facebook, Google, Microsoft, Morgan Stanley and Other similar big tech companies interview questions. It is recommended to have your own copy of the book and understand and exercise each of the questions thoroughly. The book presents eighty algorithm and data structure most frequently asked coding questions at Amazon, Facebook, Google, Microsoft, and Morgan Stanley but, it is also helpful to prepare oneself for other big tech job interview coding questions. The book is the answer for how to practice the best way to prepare for coding interviews. The internet sure has thousands of questions. Which should you practice for an interview? This book contains the most important 80 questions solved by different people including the author. The background for questions are from credible sources. It is the simplest and most efficient book organized for you the reader to successfully crack the interview coding section. To the most part, other thousands of questions are a mash of the techniques from these individual questions. The scope of the book is limited to only presenting coding questions, for the leadership as for Amazon for instance and other theoretical parts of the interview, the reader must prepare using other materials separately. Additionally, this book displays only optimal solutions in the Java language. The main goal is to save the readers time while searching for optimal solutions from the internet and get prepared in a short period of time to crack the interview code.
Author: Fissha Seyoum Teshome
Publisher: Fissha Seyoum Teshome
ISBN:
Category : Computers
Languages : en
Pages : 252
Get Book Here
Book Description
This book presents optimal solutions for the problem statements at hand. The purpose of the book is to help the interviewee save time while preparing for Amazon, Facebook, Google, Microsoft, Morgan Stanley and Other similar big tech companies interview questions. It is recommended to have your own copy of the book and understand and exercise each of the questions thoroughly. The book presents eighty algorithm and data structure most frequently asked coding questions at Amazon, Facebook, Google, Microsoft, and Morgan Stanley but, it is also helpful to prepare oneself for other big tech job interview coding questions. The book is the answer for how to practice the best way to prepare for coding interviews. The internet sure has thousands of questions. Which should you practice for an interview? This book contains the most important 80 questions solved by different people including the author. The background for questions are from credible sources. It is the simplest and most efficient book organized for you the reader to successfully crack the interview coding section. To the most part, other thousands of questions are a mash of the techniques from these individual questions. The scope of the book is limited to only presenting coding questions, for the leadership as for Amazon for instance and other theoretical parts of the interview, the reader must prepare using other materials separately. Additionally, this book displays only optimal solutions in the Java language. The main goal is to save the readers time while searching for optimal solutions from the internet and get prepared in a short period of time to crack the interview code.
Author: Vibrant Publishers
Publisher: VIBRANT PUBLISHERS USA
ISBN: 9781946383068
Category : Algorithms
Languages : en
Pages : 214
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Book Description
Features: 200 Data Structures & Algorithms Interview Questions; 77 HR Interview Questions; Real-life scenario based questions; Strategies to respond to interview questions; 2 Aptitude Tests. The book is a perfect companion to stand ahead above the rest in todays competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer.
Author: Hemant Jain
Publisher: Independently Published
ISBN: 9781726789981
Category :
Languages : en
Pages : 456
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Book Description
"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https://github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C# language developer. You are not an expert in C# language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory
Author: GYAN SHANKAR
Publisher: GYAN SHANKAR
ISBN:
Category : Education
Languages : en
Pages : 207
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Book Description
This, revised and updated, the guidebook is for engineering students, engineers, freshers, as well as, professionals, to help them prepare for interviews, for IT and non-IT roles, in a wide variety of career areas. This concise and accessible guide offers practical insights and actionable takeaways for technical professionals looking to advance their careers. The author is an ex-corporate HR Head, a head hunter, a management consultant, a faculty, and an author. His books on interviews, Group Discussions, management, career, and self-help are highly acclaimed. The book has four sections: The first is winning interview strategies. The second is a wide range of commonly asked, interview questions, tips to respond, and model answers. The third consists of IT Questions, Answering and model answers. These cover IT questions, commonly asked in Accenture, Amazon, Deloitte, JP Morgan, Google, Microsoft, PWC, P&G, Barclays, Unilever, Goldman Sachs, etc. Answering tips for technical questions have been provided. The Fourth is the Technical questions bank. Learn how to: Identify what the interviewers are after in your specific interview, well before you participate in the interview. Become a perfect interviewee. Develop an awareness of the types of questions your interviewer(s) will ask and how to prepare. Prepare your answers to many of the anticipated questions in your specific interview before being interviewed. Avoid several behaviors that weaken job interview performance. This actionable book will help to prepare and form a winning strategy for job interviews. By the end of this book, you can apply the knowledge you have gained to confidently pass your next job interview and achieve success on your career path.
Author: Bolakale Aremu
Publisher: Introduction to Algorithms & Data Structures
ISBN: 9781087924472
Category :
Languages : en
Pages : 0
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Book Description
This playbook is the third volume of the series Introduction to Algorithms & Data Structures. It is written in the form of a course. It is a very comprehensive data structures and algorithms book, packed with: Most data structure books and courses are too academic and boring. They have too much math and their codes look ugly, old and disgusting! This book is bundled with tutorial videos that are fun and easy to follow along, and show you how to write beautiful code like a software engineer, not a mathematician. Mastering data structures and algorithms is essential to getting your dream job. So, don't waste your time browsing disconnected tutorials or super long, boring courses. If you failed a job interview because you couldn't answer basic data structure and algorithm questions, just study this book and its accompanying videos. Understanding data structures and algorithms is crucial to excel as a software engineer. That's why companies like Google, Microsoft and Amazon, always include interview questions on data structures and algorithms. I will teach you everything you need to know about data structures and algorithms so you can ace your coding interview with confidence. This course is a perfect mix of theory and practice, packed with over 100 popular interview questions. Another benefit is that data structures and algorithms will make you think more logically. They can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving. As a result, the concepts of algorithms and data structures are very valuable in any field. For example, you can use them when building a web app or writing software for other devices. You can apply them to machine learning and data analytics, which are two hot areas right now. If you are a hacker, algorithms and data structures are also important for you everywhere. Now, whatever your preferred learning style, I've got you covered. If you're a visual learner, you'll love my HD videos, and illustrations throughout this book. If you're a practical learner, you'll love my hands-on lessons and practice exercises so that you can get practical with algorithms and data structures and learn in a hands-on way.
Author: Hemant Jain
Publisher: Independently Published
ISBN: 9781099552069
Category :
Languages : en
Pages : 446
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Book Description
Data Structures & Algorithms books by Hemant Jain is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https: //github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C language developer. You are not an expert in C language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theor
Author: Hemant Jain
Publisher:
ISBN: 9781075862939
Category :
Languages : en
Pages : 492
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Book Description
Data Structures & Algorithms books by Hemant Jain is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https: //github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C language developer. You are not an expert in C language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory
Author: John Sonmez
Publisher: John Wiley & Sons
ISBN: 1119565057
Category : Computers
Languages : en
Pages : 318
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Book Description
Get ready for interview success Programming jobs are on the rise, and the field is predicted to keep growing, fast. Landing one of these lucrative and rewarding jobs requires more than just being a good programmer. Programming Interviews For Dummies explains the skills and knowledge you need to ace the programming interview. Interviews for software development jobs and other programming positions are unique. Not only must candidates demonstrate technical savvy, they must also show that they’re equipped to be a productive member of programming teams and ready to start solving problems from day one. This book demystifies both sides of the process, offering tips and techniques to help candidates and interviewers alike. Prepare for the most common interview questions Understand what employers are looking for Develop the skills to impress non-technical interviewers Learn how to assess candidates for programming roles Prove that you (or your new hires) can be productive from day one Programming Interviews For Dummies gives readers a clear view of both sides of the process, so prospective coders and interviewers alike will learn to ace the interview.
Author: Zack Austin
Publisher: Lulu.com
ISBN: 138743196X
Category : Computers
Languages : en
Pages : 119
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Book Description
Here's what you get in this book: - 300 practice questions and answers spanning the breadth of topics under the data science umbrella - Covers statistics, machine learning, SQL, NoSQL, Hadoop and bioinformatics - Emphasis on real-world application with a chapter on Python libraries for machine learning - Focus on the most frequently asked interview questions. Avoid information overload - Compact format: easy to read, easy to carry, so you can study on-the-go Now, you finally have what you need to crush your data science interview, and land that dream job. About The Author Zack Austin has been building large scale enterprise systems for clients in the media, telecom, financial services and publishing since 2001. He is based in New York City.
