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Data Structures and Algorithms using Python

Data Structures and Algorithms using Python

Data Structures and Algorithms using Python
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Data Structures and Algorithms using Python Paperback - 2023

by Saha, Subrata

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Cambridge University Press, 6/15/2023 12:00:01 A. paperback. Very Good. 1.0630 9.4488 7.2441.
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Details

  • Title Data Structures and Algorithms using Python
  • Author Saha, Subrata
  • Binding Paperback
  • Condition Used - Very good
  • Pages 668
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 6/15/2023 12:00:01 A
  • Features Index
  • Bookseller's Inventory # mon0003929736
  • ISBN 9781009276979 / 1009276972
  • Weight 1.85 lbs (0.84 kg)
  • Dimensions 9.37 x 7.24 x 1.18 in (23.80 x 18.39 x 3.00 cm)
  • Size 1.0630 9.4488 7.2441
  • Category Computers - Languages / Programming
  • Library of Congress subjects Data structures (Computer science), Python (Computer program language)
  • Library of Congress Catalogue Number 2023008733
  • Dewey Decimal Code 005.133
  • Quantity available 1
  • Bookseller catalogues Book

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Reader reviews for Data Structures and Algorithms using Python

From the publisher

Efficiently using data structures to collect, organise and retrieve information is one of the core abilities modern computer engineers are expected to have. This student-friendly textbook provides a complete view of data structures and algorithms using the Python programming language, striking a balance between theory and practical application. All major algorithms have been discussed and analysed in detail, and the corresponding codes in Python have been provided. Diagrams and examples have been extensively used for better understanding. Running time complexities are also discussed for each algorithm, allowing the student to better understand how to select the appropriate one. Written with both undergraduate and graduate students in mind, the book will also be helpful with competitive examinations for engineering in India such as GATE and NET. As such, it will be a vital resource for students as well as professionals who are looking for a handbook on data structures in Python.
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