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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

11.5C VS. C++ VS. JAVA VS. PYTHON FILE HANDLING

File handling is an important process, and one must be aware of the file handling process irrespective of any language. This is especially true when it comes to C VS. C++ VS. JAVA VS. PYTHON file handling, because it becomes difficult to understand the operations and processes on files as these languages possess similar kinds of functions/operators. Hence, there are some points to remember while working with files, which are shown in the table.

Table 11.1 Comparison of how four programming languages

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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.

See other products by Mercury Learning and Information

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.

See other products by D. Malhotra

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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