Data Structures using Python

; Mr Abhishek S. Nagarajan ; Prof Karthick Nanmaran

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful language Python. This book is designed for a first course on the subject. Les mer
Vår pris
270,-

(Paperback)
Leveringstid: Sendes innen 7 virkedager

Paperback
Legg i
Paperback
Legg i
Vår pris: 270,-

(Paperback)
Leveringstid: Sendes innen 7 virkedager

Om boka

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful language Python. This book is designed for a first course on the subject. It is written for the undergraduate engineering students of Computer Science, Information Technology and allied disciplines.

The book begins with an overview of the concept, need, nomenclature followed by discussion of Arrays, Stacks, Queues, Double Ended Queues, Linked List - all under a chapter on Linear Data Structures. This is followed by a chapter on Non-linear Data Structures where Heap, Hash Table, Trie, and Disjoint Sets are discussed. Trees, though a non-linear data structure, is discussed as a separate chapter to emphasize upon its importance. The last few chapters of the book discusses Graphs, Searching,
and Sorting finally ending with an appendix on Python built-in class functions.

Fakta

Om forfatteren

Shriram K. Vasudevan is Assistant Professor, Dept. of Computer Science& Engineering, Amrita Vishwavidyapeetham, Coimbatore. He holds a Ph.D. in Embedded Systems with over 11 years of industrial and academic experience. He has worked with major multinational companies like Wipro and Aricent Technologies before joining academics.

Abhishek S. Nagarajan is a Data scientist in [24]7.ai in Bangalore. His primary job is developing and deploying data-driven machine learning models. Other than models he is also responsible for maintaining business metrics based on client requirements. He also has a basic knowledge on the retargeting and personalization projects for customer acquisition in clients. He proposed a personalization based targeting model for an event called 'ideon' and the same selected for final
and has been planned for implementation in leading clients. His areas of interests are Data sciences, Data structures, Internet of Things, Augmented reality and Mas personalization.

Karthick Nanmaran is Assistant Professor, Department of CSE, SRM Institute of Science and Technology, Chennai.