Data Structures for Engineers and Scientists Using Python

By: Rakesh Nayak, Nishu Gupta

Write A Review

eText | 18 September 2024 | Edition Number 1

At a Glance

Format
ePUB

eText

$343.20

or 4 interest-free payments of $85.80 with

Instant online reading in your Booktopia eTextbook Library *

Read online on

Desktop

Tablet

Mobile

Not downloadable to your eReader or an app

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level. The text further discusses important concepts such as polynomial manipulation, sparse matrices, implementation of stack using the queue model and topological sorting.

This book:

Discusses the implementation of various data structures such as an array, stack, queue, tree and graph along with sorting and searching algorithms.
Includes programming tips to highlight important concepts and help readers avoid common programming errors.
Presents each concept of data structure with a different approach and implements the same using Python programming.
Offers rich chapter-end pedagogy including objective-type questions (with answers), review questions and programming exercises to facilitate review.
Covers fundamentals of Python up to object-oriented concepts including regular expression.

It is primarily written for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering and information technology.