Data Structure Simplified
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Data Structure Simplified
This book has been written for undergraduate students in computer science, and students at a master's level and professionals aiming to learn data structure in self-learning mode. Special focus has been laid on fundamental building and developing the program line by line. Therefore, enough diagrams have been included to depict the program development. Ease of language can benefit students in learning and mastering several topics that include stack, queue, link list etc. Programs included are well tested for the accuracy in Turboc compiler. The focus is not only on function development but also methods to call them. The chapters and with the case studies that gives enough understanding of where and how to use the topic learned. This book will serve the purpose of teaching data structure to readers.
Python Basics Made Simple: A Practical Guide with Examples
Python Basics Made Simple: A Practical Guide with Examples provides a comprehensive and technical introduction to Python programming. Designed for beginners and those seeking to refresh foundational skills, the book emphasizes clear explanations and concrete examples to facilitate the understanding of code syntax, programming constructs, and software development principles. The content is organized into logically structured chapters that gradually build the reader’s expertise, starting with the setup of a Python development environment and progressing through basic programming constructs, data types, control structures, functions, and advanced topics such as file handling and object-oriented programming. Each section is clearly articulated and supported by practical examples, enabling the reader to apply the techniques directly to real-world programming tasks. Through a systematic presentation of Python's features and best practices, this guide equips learners with the tools necessary to write efficient and reliable code. The book focuses on technical accuracy and practical application, ensuring that readers are well-prepared to tackle common programming challenges and develop scalable software solutions.
Intelligent Control and Automation
Results of the International Conference on Intelligent Computing, ICIC 2006: Lecture Notes in Computer Science (LNCS), Lecture Notes in Artificial Intelligence (LNAI), Lecture Notes in Bioinformatics (LNBI), Lecture Notes in Control and Information Sciences (LNCIS). 142 revised full papers are organized in topical sections: Blind Source Separation; Intelligent Sensor Networks; Intelligent Control and Automation; and Data Fusion, Knowledge Discovery, and Data Mining. Includes a Special Session on Smart and Intelligent Home Technology.