A groundbreaking, flexible approach to computer science anddata science The Deitels' Introduction to Python for ComputerScience and Data Science: Learning to Program with AI, Big Data and the Cloudoffers a unique approach to teaching introductory Python programming,appropriate for both computer-science and data-science audiences. Providing themost current coverage of topics and applications, the book is paired withextensive traditional supplements as well as Jupyter Notebooks supplements.Real-world datasets and artificial-intelligence technologies allow students towork on projects making a difference in business, industry, government andacademia. Hundreds of examples, exercises, projects (EEPs) and implementationcase studies give students an engaging, challenging and entertainingintroduction to Python programming and hands-on data science. The book's modular architecture enables instructors toconveniently adapt the text to a wide range of computer-science anddata-science courses offered to audiences drawn from many majors.Computer-science instructors can integrate as much or as little data-scienceand artificial-intelligence topics as they'd like, and data-science instructorscan integrate as much or as little Python as they'd like. The book aligns withthe latest ACM/IEEE CS-and-related computing curriculum initiatives and withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation.

With the emergence of the Java 3D API, the creation of high quality 3D animated graphics for Java applications and applets becomes a possibility. With numerous aspects of the business, science, medical, and educational fields implementing this technology, the need for familiarity of Java 3D amplifies.""Interactive Web-Based Virtual Reality with Java 3D"" provides both advanced and novice programmers with comprehensive, detailed coverage of all of the important issues in Java 3D. This essential book delivers illustrations of essential keywords, syntax, and methods to provide an easy-to-read learning experience for the reader.

The massive volume of data that some medical and biological applications generate require special processing resources that guarantee privacy and security, creating a crucial need for cluster and grid computing. Biomedical Diagnostics and Clinical Technologies: Applying High-Performance Cluster and Grid Computing disseminates knowledge regarding high performance computing for medical applications and bioinformatics. Containing a defining body of research on the subject, this critical reference source includes a valuable collection of cutting-edge research chapters for those working in the broad field of medical informatics and bioinformatics.

This innovative monograph focuses on a contemporary form of computer-based literature called 'literary hypertext', a digital, interactive, communicative form of new media writing. Canonizing Hypertext combines theoretical and hermeneutic investigations with empirical research into the motivational and pedagogic possibilities of this form of literature. It focuses on key questions for literary scholars and teachers: How can literature be taught in such a way as to make it relevant for an increasingly hypermedia-oriented readership? How can the rapidly evolving new media be integrated into curricula that still seek to transmit traditional literary competence? How can the notion of literary competence be broadened to take into account these current trends? This study, which argues for hypertexts integration in the literary canon, offers a critical overview of developments in hypertext theory, an exemplary hypertext canon and an evaluation of possible classroom applications.

XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every nook and cranny of their organization. The truth is in between the two. This book provides the guidance necessary for data managers to make measured decisions about XML within their organizations. Readers will understand the uses of XML, its component architecture, its strategic implications, and how these apply to data management.
To view a sample chapter and read the Foreword by Thomas C. Redman, visit http: //books.elsevier.com/mk/?isbn=0120455994
* Takes a data-centric view of XML.
* Explains how, when, and why to apply XML to data management systems.
* Covers XML component architecture, data engineering, frameworks, metadata, legacy systems, and more.
* Discusses the various strengths and weaknesses of XML technologies in the context of organizational data management and integration.

The importance of semantics has been recognized in different areas of data and information management, including better access, exchange, interoperability, integration, and analysis of data. Semantics of data is about associating meaning to data, understanding what data represents, and improving the value of data. ""Ubiquitous and Pervasive Knowledge and Learning Management: Semantics, Social Networking and New Media to Their Full Potential"" presents an alternative view to ubiquitous and pervasive knowledge, architectural frameworks, and methodological issues, and introduces some of the major techniques and tools developed in the domain of ontology building, analysis, and semantic Web. ""Ubiquitous and Pervasive Knowledge and Learning Management: Semantics, Social Networking and New Media to Their Full Potential"" contributes to the revolutionary domain of semantic Web and information systems in the following aspects: vision, methodologies, tools, and applications.

In recent years, the development of distributed systems, in particular the Internet, has been influenced heavily by three paradigms: peer-to-peer, autonomous agents, and service orientation. Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovations establishes an understanding of autonomous peer-to-peer Web Service models and developments as well as extends growing literature on emerging technologies. This scholarly publication is an important reference for researchers and academics working in the fields of peer-to-peer computing, Web and grid services, and agent technologies.

Web service technologies are constantly being recreated, continuously challenging Web service professionals and examiners. Modern Technologies in Web Services Research facilitates communication and networking among Web services and e-business researchers and engineers in a period where considerable changes are taking place in Web services technologies innovation. Modern Technologies in Web Services Research provides mathematic foundations for service oriented computing, Web services architecture and security, frameworks for building Web service applications, and dynamic invocation mechanisms for Web services among other innovative approaches.

Java Card is one of the latest developments in the area of multi-application and platform-independent smart cards. As a working tool for professionals, this easy-to-understand resource provides clear, detailed guidance on smart cards, credit and debit cards, Java Card and Open Card Framework (OCF). It offers in-depth coverage of important standards, open specifications and critical security issues, including common threats and security mechanisms regarding the card and its connection interface. The book explains how to program a Java Card applet, an OCF card service and a terminal application. What's more, the book presents an informative case study on the credit-debit application, offering a detailed road map of the application development process.

As semantic technologies prove their value with targeted applications, there are increasing opportunities to consider their usefulness in social contexts for knowledge, learning, and human development. ""Social Web Evolution: Integrating Semantic Applications and Web 2.0 Technologies"" explores the potential of Web 2.0 and its synergies with the Semantic Web and provides state-of-the-art theoretical foundations and technological applications. A reference edition for academicians, practitioners, policy makers, and government officers eager for knowledge on Web 2.0 and social Web, this book emphasizes practical aspects of the integration of semantic applications into social Web technologies.

Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON (TM): DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python (TM) programming language. The level of instruction is ideal if you've had at least one semester of programming experience in an object-oriented language, such as Java (TM), C++ or Python (TM). Step-by-step explanations and focused exercises clearly explain the design of collection classes with polymorphism and inheritance and multiple implementations of collection interfaces. This edition also addresses the analysis of the space/time tradeoffs of different collection implementations and, specifically, array-based implementations and link-based implementations. You learn to work with collections, including sets, lists, stacks, queues, trees, dictionaries and graphs. Prepare for success with FUNDAMENTALS OF PYTHON (TM): DATA STRUCTURES, 2E.

Whether searching, shopping, or socializing, Web users leave behind a great deal of data revealing their information needs, mindset, and approaches used, creating vast opportunities for Web service providers as well as a host of security and privacy concerns for consumers. The Handbook of Research on Web Log Analysis reflects on the multifaceted themes of Web use and presents various approaches to log analysis. This expansive collection reviews the history of Web log analysis and examines new trends including the issues of privacy, social interaction and community building. Over XX research contributions from XX international experts comprehensively cover the latest user-behavior analytic and log analysis methodologies, and consider new research directions and novel applications. An essential holding for library reference collections, this Handbook of Research will benefit academics, researchers, and students in a variety of fields, as well as technology professionals interested in the opportunities and challenges presented by the massive collection of Web usage data.

Although the field of mixed reality has grown significantly over the last decade, there have been few published books about augmented reality, particularly the interface design aspects. ""Emerging Technologies of Augmented Reality: Interfaces and Design"" provides a foundation of the main concepts of augmented reality (AR), with a particular emphasis on user interfaces, design, and practical AR techniques, from tracking algorithms to design principles for AR interfaces. ""Emerging Technologies of Augmented Reality: Interfaces and Design"" contains comprehensive information focusing on the following topics: technologies that support AR, development environments, interface design and evaluation of applications, and case studies of AR applications.

Innovations in cloud and service-oriented architectures continue to attract attention by offering interesting opportunities for research in scientific communities. Although advancements such as computational power, storage, networking, and infrastructure have aided in making major progress in the implementation and realization of cloud-based systems, there are still significant concerns that need to be taken into account. Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing aims to present insight into Cloud principles, examine associated methods and technologies, and investigate the use of service-oriented computing technologies. In addressing supporting infrastructure of the Cloud, including associated challenges and pressing issues, this reference source aims to present researchers, engineers, and IT professionals with various approaches in Cloud computing.

Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.