Programming And Data Structures(For Anna University) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Programming And Data Structures(For Anna University) write by Kamthane. This book was released on 2003-09. Programming And Data Structures(For Anna University) available in PDF, EPUB and Kindle.
A Common-Sense Guide to Data Structures and Algorithms, Second Edition
A Common-Sense Guide to Data Structures and Algorithms, Second Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Common-Sense Guide to Data Structures and Algorithms, Second Edition write by Jay Wengrow. This book was released on 2020-08-10. A Common-Sense Guide to Data Structures and Algorithms, Second Edition available in PDF, EPUB and Kindle. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.
Data Structures and Program Design in C
Data Structures and Program Design in C - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Structures and Program Design in C write by Robert Kruse. This book was released on 2007-09. Data Structures and Program Design in C available in PDF, EPUB and Kindle.
Data Structures and Algorithms in Python
Data Structures and Algorithms in Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Structures and Algorithms in Python write by Michael T. Goodrich. This book was released on 2013-06-17. Data Structures and Algorithms in Python available in PDF, EPUB and Kindle. Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
An Introduction to Data Structures and Algorithms
An Introduction to Data Structures and Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Introduction to Data Structures and Algorithms write by J.A. Storer. This book was released on 2012-12-06. An Introduction to Data Structures and Algorithms available in PDF, EPUB and Kindle. Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel
