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Data structures and algorithms using Python/

By: Material type: TextTextPublication details: New Delhi: Cambridge, 2023.Description: xxii,643pISBN:
  • 9781009276979
Subject(s): DDC classification:
  • 005.13 SAH
Summary: "Efficiently using data structures to collect, organize, and retrieve information is one of the core abilities modern computer engineers are expected to have. Python currently is one of the most popular programming languages, and as such, it has become vital for students to understand this concept in this language. 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. The book has been written with both undergraduate and graduate students in mind. Each chapter ends with a large number of problems, including multiple choice questions, to help consolidate the knowledge gained. This will also be helpful with competitive examinations for engineering in India such as GATE and NET. As such, the book will be a vital resource for students as well as professionals who are looking for a handbook on data structures in Python"
Item type: Book
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Includes index

"Efficiently using data structures to collect, organize, and retrieve information is one of the core abilities modern computer engineers are expected to have. Python currently is one of the most popular programming languages, and as such, it has become vital for students to understand this concept in this language. 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. The book has been written with both undergraduate and graduate students in mind. Each chapter ends with a large number of problems, including multiple choice questions, to help consolidate the knowledge gained. This will also be helpful with competitive examinations for engineering in India such as GATE and NET. As such, the book 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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