TY  - BOOK
AU  - John Paul Mueller
AU  - Computer Science
TI  - Python for Data Science
SN  - 9788126524938
U1  - 005.133 J6131 P 
PY  - 2021///
CY  - Delhi
PB  -  Wiley
N1  - Data Structures and Algorithms in Python offers a comprehensive, definitive introduction to data structures and algorithms, including their design, analysis, and implementation in Python. Utilizing a consistent object-oriented viewpoint throughout the book, it provides detailed algorithmic strategies for producing efficient realizations of common data structures such as arrays, stacks, queues, linked lists, trees, maps, hash tables, search trees, and graphs. The book also provides an in-depth analysis of algorithmic performance that helps readers to recognize common trade-offs between competing strategies. The book incorporates a host of pedagogical features, including illustrations, code fragments, and end-of-chapter exercises.

CONTENTS

Chapter 1 Introduction to Python

Chapter 2 Object-Oriented Programming

Chapter 3 Introduction to Data Structures and Algorithms

Chapter 4 Recursion

Chapter 5 Array-Based Sequences

Chapter 6 Stacks

Chapter 7 Queues

Chapter 8 Linked Lists

Chapter 9 Trees

Chapter 10 Priority Queues

Chapter 11 Maps, Hash Tables, and Sets

Chapter 12 Search Trees

Chapter 13 Sorting Algorithms

Chapter 14 Graph Algorithms

Chapter 15 Text Processing

Chapter 16 Memory Management and B-Trees

Illustrative Examples and Programs

Exercises

Multiple Choice Questions

Chapter Notes

Answers to Multiple Choice Questions

Appendix A Character Strings in Python

Appendix B Useful Mathematical Facts

Appendix C Additional Searching and Sorting Algorithms

Bibliography

Index
ER  -