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Data Structure And Algorithmic Thinking With Python

Author: Narasimha Karumanchi
Publisher: Careermonk Publications
ISBN: 9788192107592
Size: 20.49 MB
Format: PDF, ePub, Docs
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It is the Python version of "Data Structures and Algorithms Made Easy." Table of Contents: Sample Chapter: Source Code: The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. "Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems. Topics covered include: Organization of Chapters Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queues and Heaps Disjoint Sets ADT Graph Algorithms Sorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Hacks on Bit-wise Programming Other Programming Questions

Data Structures And Algorithms Made Easy

Author: Narasimha Karumanchi
Publisher: Careermonk Publications
ISBN: 9788193245279
Size: 28.79 MB
Format: PDF, ePub, Mobi
View: 758
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"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.

Data Structures And Algorithms In Java 6th Edition

Author: Michael T. Goodrich
Publisher: Wiley Global Education
ISBN: 1118803167
Size: 68.16 MB
Format: PDF
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The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

Data Structures And Algorithms Made Easy In Java

Author: Narasimha Karumanchi
Publisher: Createspace Independent Pub
ISBN: 9781468101270
Size: 76.86 MB
Format: PDF, ePub
View: 2716
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Peeling Data Structures and Algorithms for (Java, Second Edition): * Programming puzzles for interviews * Campus Preparation * Degree/Masters Course Preparation * Instructor's * GATE Preparation * Big job hunters: Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more * Reference Manual for working people

Coding Interview Questions

Author: Narasimha Karumanchi
ISBN: 8193245202
Size: 64.48 MB
Format: PDF, ePub, Docs
View: 2698
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"Coding Interview Questions" is a book that presents interview questions in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics. It comes handy as an interview and exam guide for computer scientists.

How To Think About Algorithms

Author: Jeff Edmonds
Publisher: Cambridge University Press
ISBN: 1139471759
Size: 18.30 MB
Format: PDF, ePub, Mobi
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This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.

Python Data Structures And Algorithms

Author: Benjamin Baka
Publisher: Packt Publishing Ltd
ISBN: 1786465337
Size: 42.26 MB
Format: PDF, Mobi
View: 4198
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Implement classic and functional data structures and algorithms using Python About This Book A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Who This Book Is For The book will appeal to Python developers. A basic knowledge of Python is expected. What You Will Learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. In Detail Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. Style and Approach The easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications.

Peeling Design Patterns

Author: Narasimha Karumanchi
ISBN: 9788192107523
Size: 59.11 MB
Format: PDF, Mobi
View: 1813
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"Peeling Design Patterns: For Beginners and Interviews" by Narasimha Karumanchi and Prof. Sreenivasa Rao Meda is a book that presents design patterns in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics and covers many real-time design interview questions. It comes handy as an interview and exam guide for computer scientists. Salient Features of Book: Readers without any background in software design will be able to understand it easily and completely.Presents the concepts of design patterns in simple and straightforward manner with a clear-cut explanation. After reading the book, readers will be in a position to come up with better designs than before and participate in design discussions which happen in their daily office work. The book provides enough real-time examples so that readers get better understanding of the design patterns and also useful for the interviews. We mean, the book covers design interview questions. Table of Contents: IntroductionUML BasicsDesign Patterns IntroductionCreational PatternsStructural PatternsBehavioral PatternsGlossary and TipsDesign Interview QuestionsMiscellaneous Concepts

Python Algorithms

Author: Magnus Lie Hetland
Publisher: Apress
ISBN: 1484200551
Size: 66.51 MB
Format: PDF, Kindle
View: 2055
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Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.