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.
Data Structures for Engineers and Scientists Using Python
RRP:
$142.99
$141.00
Description
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.
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