Book Name: Data Structures and Algorithms Using Python
Author: Rance D. Necaise
Publisher: Wiley
ISBN-10: 0470618299,9780470618295
Year: 2010
Pages: 540
Language: English
File size: 10 Mb
File format: PDF
This book is made for a data structures and algorithms class which uses Python. A vital purpose is to give a”back to basics” method of understanding data structures and algorithms with no overpowering the reader with each the object-oriented programming language and concepts. To give flexibility in subject coverage for a huge array of classes, the writer concentrates on data structures and algorithms, while designing the illustrations to permit the introduction of object-oriented programming if desired. The book also presents the idea of algorithm analysis and also investigates the efficacy of algorithms and information structures through the text.The normal data structures class, which introduces an assortment of basic data structures and algorithms, may be taught with some of the various programming languages available now. In the last few decades, more schools have started to embrace the Python language for introducing pupils to programming and problem solving. Python provides several advantages over other languages like C++ and Java, the main of which is that Python has a very simple syntax that is much easier to learn. This publication expands upon this usage of Python by supplying a Python-centric text for those data structures class.
The fresh syntax and strong features of this language are used through, but the underlying mechanics of these attributes are fully researched not just to expose the”magical” but also to study their general efficacy.Python (version 3) utilized to design and execute classes for abstract data types and applications and calculations. Adaptive organziation allows protection of course inheritance as desired or needed. Introduces students to the simple array structure and also the essentials of implementing and utilizing multi-dimensional arrays. The underlying mechanism of several of Pythons built-in information structures and constructs are researched so as to expose the”magical” and also to evaluate their efficacy. Sample applications of different chapter issues are introduced through the text to help engage pupils. This allows for a number of implementations as new information structures are introduced, and this offers the chance to strengthen the abstraction theory and for analyzing algorithm efficiency.
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