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This standard is a collaborative effort to improve and standardize the 1.0.3 version Experience Application Programming Interface (xAPI) specification. This Standard describes a JavaScript Object Notation (JSON) data model format and a Representational State Transfer (RESTful) Web Service Application Programming Interface (API) for communication between Activities experienced by an individual, group, or other entity and a Learning Record Store (LRS). The LRS is a system that exposes the RESTful Web Service API for the purpose of tracking and accessing experiential data, especially in learning and human performance.

JavaScript (Computer program language)

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Seeking to learn quickly how to program in Java without prior experience? This Guide to Java presents a focused and accessible primer on the fundamentals of Java programming, with extensive use of illustrative examples and hands-on exercises. Addressing the need to acquire a good working model of objects in order to avoid possible misconceptions, the text introduces the core concepts of object-oriented programming at any stage, supported by the use of contour diagrams. Each chapter has one or more complete programs to illustrate the various ideas presented, and to help readers learn how to write programs on their own. Chapter summaries and practical exercises also are included to help the reader to review their progress and practice their skills. This substantially updated second edition has been expanded with additional exercises, and includes new material on bit manipulation and parallel processing. Topics and features: Introduces computing concepts in Chapter 0 for new programmers Adds new chapters on bit-manipulation and parallel processing Contains exercises at the end of each chapter with selected answers Supports both text-based and GUI-based Input/Output Objects can be introduced first, last, or intermixed with other material Uses contour diagrams to illustrate objects and recursion Discusses OOP concepts such as overloading, class methods, and inheritance Introduces string variables and illustrates arrays and array processing Discusses files, elementary exception processing, and the basics of Javadoc This concise and easy-to-follow textbook/guide is ideal for students in an introductory programming course. It is also suitable as a self-study guide for both practitioners and academics. Dr. James T. Streib is Professor Emeritus of Computer Science and Dr. Takako Soma is Associate Professor of Computer Science, and both are at Illinois College, Jacksonville, IL, USA. They are also co-authors of the follow-up text Guide to Data Structures.

Java (Computer program language)

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Develop your Java coding skills by exploring object-oriented methodologies, functional programming, software design patterns, and more Purchase of the print or Kindle book includes a free PDF eBook Key Features Get started with programming in Java with this step-by-step guide for experienced programmers Re-enforce your knowledge of object-oriented methodologies applied in Java Develop the range of skills necessary for you to become a successful Java developer Book Description This comprehensive guide will help non-Java developers already using different languages transition from their current language to all things Java. The chapters are designed in a way that re-enforces a developer's existing knowledge of object-oriented methodologies as they apply to Java. This book has been divided into four sections, with each section touching upon different aspects that'll enable your effective transition. The first section helps you get to grips with the Java development environment and the Maven build tool for modern Java applications. In the second section, you'll learn about Java language fundamentals, along with exploring object-oriented programming (OOP) methodologies and functional programming and discovering how to implement software design patterns in Java. The third section shows you how to code in Java on different platforms and helps you get familiar with the challenges faced on these platforms. In the fourth section, you'll find out how you can manage and package your Java code. By the end of this Java programming book, you'll have learned the core concepts of Java that'll help you successfully transition from a different language to Java. What you will learn Gain a solid understanding of the syntax in Java Explore the object-oriented programming basics of the Java language Discover how to implement functions in Java Understand which Java frameworks would be best for solving various problems Explore creational, structural, and behavioral patterns in Java Get to grips with server-side coding in Java Who this book is for This book is for anyone who is currently working with other programming languages and wishes to add Java to their skillset. Prior working experience as a developer using languages other than Java is expected, although no prior knowledge of Java is required.

Java (Computer program language)

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Build and use the most popular time series index available today with Python to search and join time series at the subsequence level Purchase of the print or Kindle book includes a free PDF eBook. Key Features Learn how to implement algorithms and techniques from research papers Get to grips with building time series indexes using iSAX Leverage iSAX to solve real-world time series problems Book Description Time series are everywhere, ranging from financial data and system metrics to weather stations and medical records. Being able to access, search, and compare time series data quickly is essential, and this comprehensive guide enables you to do just that by helping you explore SAX representation and the most effective time series index, iSAX. The book begins by teaching you about the implementation of SAX representation in Python as well as the iSAX index, along with the required theory sourced from academic research papers. The chapters are filled with figures and plots to help you follow the presented topics and understand key concepts easily. But what makes this book really great is that it contains the right amount of knowledge about time series indexing using the right amount of theory and practice so that you can work with time series and develop time series indexes successfully. Additionally, the presented code can be easily ported to any other modern programming language, such as Swift, Java, C, C++, Ruby, Kotlin, Go, Rust, and JavaScript. By the end of this book, you'll have learned how to harness the power of iSAX and SAX representation to efficiently index and analyze time series data and will be equipped to develop your own time series indexes and effectively work with time series data. What you will learn Find out how to develop your own Python packages and write simple Python tests Understand what a time series index is and why it is useful Gain a theoretical and practical understanding of operating and creating time series indexes Discover how to use SAX representation and the iSAX index Find out how to search and compare time series Utilize iSAX visualizations to aid in the interpretation of complex or large time series Who this book is for This book is for practitioners, university students working with time series, researchers, and anyone looking to learn more about time series. Basic knowledge of UNIX, Linux, and Python and an understanding of basic programming concepts are needed to grasp the topics in this book. This book will also be handy for people who want to learn how to read research papers, learn from them, and implement their algorithms.

Python (Computer program language)

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OpenCL (Computer program language)