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Data Structures and Program Design Using Python

You're reading from Data Structures and Program Design Using Python A Self-Teaching Introduction to Data Structures and Python

Product type Paperback

Published in Aug 2024

Publisher Mercury_Learning

ISBN-13 9781836640738

Length 394 pages

Edition 1st Edition

Languages

Python

Concepts

Data Structures and Algorithms

Authors (3):

Mercury Learning and Information

D. Malhotra

N. Malhotra

View More author details

Table of Contents (16) Chapters

Preface

1. Acknowledgments

2. Chapter 1: Introduction to Data Structures FREE CHAPTER

3. Chapter 2: Introduction to Python

4. Chapter 3: Arrays/Lists

5. Chapter 4: Linked Lists

6. Chapter 5: Queues

7. Chapter 6: Searching and Sorting

8. Chapter 7: Stacks

9. Chapter 8: Trees

10. Chapter 9: Multi-Way Search Trees

11. Chapter 10: Hashing

12. Chapter 11: Files

13. Chapter 12: Graphs

14. Index

Appendix: Answers to Multiple Choice Questions

2.3PYTHON OVERVIEW

Python is a high-level, interpreted, interactive, and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently (other languages use punctuation), and it has fewer syntactical constructions than other languages.

•Python is Interpreted − Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP.

•Python is Interactive − You can sit at a Python prompt and interact with the interpreter directly to write your programs.

•Python is Object-Oriented − Python supports the object-oriented style or technique of programming that encapsulates code within objects.

•Python is a Beginner’s Language − Python is a great language for the beginner-level programmers and supports the development of a wide range of applications, from simple text processing to Web browsers and games.

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Authors (3)

Mercury Learning and Information

Mercury Learning and Information

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.

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D. Malhotra

D. Malhotra

D. Malhotra, PhD is a professor in information technology and has published numerous research articles with international publishers such as ACM, Springer, Elsevier, and IEEE.

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N. Malhotra

N. Malhotra

N. Malhotra's teaching and research interests include data structures, big data analytics, business intelligence, Java, and distributed programming.

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