Название: Data Structures for Engineers and Scientists Using PythonАвтор: Rakesh Nayak, Nishu Gupta
Издательство: CRC Press
Год: 2025
Страниц: 410
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
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.
A programming language is a formal computer language that is used to send commands and data to a machine. Many languages were created with specific goals in mind, such as data processing and scientific calculations. The Python programming language is a very versatile language that can be used for both data processing and scientific calculations. In the Chapter 1 we will discuss some important concepts of Python that will be helpful in learning data structures using Python. A variable is a space in computer memory that may be used to store values. The type of variable is defined by the data it contains, and Python automatically allocates memory space to each variable. Because of this, Python is known as a dynamic typing language. In Python, variables do not need to be declared before they may be utilized.
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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