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Data Structures and Algorithms Using Python by Subrata Saha

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9781009276979
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Description

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.

A comprehensive textbook that provides a complete view of data structures and algorithms for engineering students using Python.

About the Author
Subrata Saha is Head of the Department of Computer Applications at Techno India Hooghly, West Bengal. He has more than 20 years of teaching experience in various subjects in computer science and engineering, including data structures and algorithms, programming in C, C++ and Java, basic computation, operating systems etc. He is also the head examiner for these subjects at the Maulana Abul Kalam Azad University, West Bengal, India. Saha has been previously published by the Press in 2017 with Basic Computations and Programming with C. His areas of interest include object oriented languages, image processing and cryptography.


Book Information
ISBN 9781009276979
Author Subrata Saha
Format Paperback
Page Count 600
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 900g
Dimensions(mm) 241mm * 185mm * 27mm

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