For courses in Python programming. A clear and student-friendly introduction to the fundamentals of Python In Starting Out with Python, 5th Edition, Tony Gaddis' accessible coverage introduces students to the basics of programming in a high-level language. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to become comfortable with the fundamentals of programming without the troublesome syntax that can be challenging for novices. With the knowledge acquired using Python, students gain confidence in their skills and learn to recognize the logic behind developing high-quality programs. Starting Out with Python discusses control structures, functions, and lists before classes. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, focused explanations, and an abundance of exercises appear in every chapter. Updates to the 5th Edition include a new chapter on database programming, and new coverage of GUI programming, string processing and formatting, and turtle graphics topics.

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration With Data Science is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Security in IoT Social Networks takes a deep dive into security threats and risks, focusing on real-world social and financial effects. Mining and analyzing enormously vast networks is a vital part of exploiting Big Data. This book provides insight into the technological aspects of modeling, searching, and mining for corresponding research issues, as well as designing and analyzing models for resolving such challenges. The book will help start-ups grow, providing research directions concerning security mechanisms and protocols for social information networks. The book covers structural analysis of large social information networks, elucidating models and algorithms and their fundamental properties. Moreover, this book includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models. This book is a detailed reference for academicians, professionals, and young researchers. The wide range of topics provides extensive information and data for future research challenges in present-day social information networks.

The internet of things (IoT) revolution has given rise to smart cities and villages all over the world. With technology advancements such as cloud computing, fog computing, and software-defined networking, it is necessary to examine ways that these environments can implement innovation for cost-effective citizen services and e-governance. Also, as cyber-physical systems are becoming more vulnerable with IoT attacks threatening their security and privacy, there is an even greater need for solutions that offer protection for all of these advancing technologies. The Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities is an essential research publication that combines theory and practice, reflecting on advancing technologies for the automation, protection, and sustainability of urban environments. Highlighting a wide range of topics such as blockchain, smart grid, and sustainability, this book is ideal for researchers, academicians, scientists, engineers, programmers, IT consultants, professionals, and policymakers.