The Source Code is a mystery thriller about two people, unknown to each other, whose rational worlds are suddenly transformed into places of unimaginable danger and terror. Sarah Wynter inherits $2 billion which, within hours, is stolen by computer hackers in India and the Russian mafia. John Ambrose, a Virginia lawyer, finds his identity has been stolen and used by the Cali drug cartel to traffic drugs and launder drug money. In their frantic quest to stay alive, their paths cross and they find themselves thrust into a world inhabited by forces of evil unlike those they had ever known. Alarm bells are set off at the Department of Homeland Security, the FBI and the CIA, and the paths of John Ambrose and Sarah Wynter soon cross. And John Ambrose becomes the target of a world-wide manhunt.
PGP (Pretty Good Privacy) is a computer program for the encryption of data and electronic mail, a powerful envelope that allows individuals the same privacy in their communications as enjoyed by governments and large corporations. PGP, which is freely available on the Internet, uses public-key cryptography - specifically the RSA algorithm, which is particularly well-suited to the needs of computer-mediated communications. This book contains a formatted vesion of the complete source code for the latest release (2.6.2) of PGP.
Learn to mobilize latent energy in your body and direct it to energize and awaken your higher brain • Provides a simplified step-by-step guided process to the higher-brain activation techniques of Source Code Meditation • Explains how to shift energy out of the lower “survive” brain into the higher “thrive” brain to bring confidence, clarity, and empowerment for transformative change in all areas of life • Reveals how the “brain first” techniques of SCM tune the brain to receive meditation, enabling access to deep flow states, transcendent states of consciousness, and higher brain potential The human brain is like a flowing river of potential. Until now, that river has been blocked, barricaded, and diverted by the primitive lower brain. The lower brain hijacks our ability to experience deeper flow and higher transcendent states of consciousness. It also guards against the full expression of the passionate human heart. Source Code Meditation (SCM), with its nine summits of transformation, effortlessly re-routes that lower brain diversion, allowing you to activate latent energy in your body, awaken your higher brain, enlighten your mind, and set your heart on fire to create a new world. With traditional meditation techniques, it often takes decades of practice for hours each day to confer significant changes in the mind and the higher brain. Few of us make it to these rarified states of mind, due to the amount of time and the intensity of focus needed. With “brain first” SCM techniques, you mobilize latent energy in the body and direct it to energize and awaken the higher brain before meditation begins. With the higher brain prepped and tuned, meditation is efficiently received, leading to quantum breakthroughs in higher consciousness without years of practice as well as access to deep flow states, transcendent states of consciousness, and higher brain potential. Providing a simplified step-by-step guided process to SCM, Dr. Michael Cotton explains how to shift energy out of the lower “survive” brain into the higher “thrive” brain to bring confidence, clarity, and empowerment for transformative change in all areas of life. Distilled from the world’s most comprehensive philosophy, Integral Metatheory, SCM offers not only a way to create the brain state necessary to change the mind, but the crystal clarity needed to use these advanced meditative states to actualize your potential and live your destiny to the fullest.
This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.
Pro Git (Second Edition) is your fully-updated guide to Git and its usage in the modern world. Git has come a long way since it was first developed by Linus Torvalds for Linux kernel development. It has taken the open source world by storm since its inception in 2005, and this book teaches you how to use it like a pro. Effective and well-implemented version control is a necessity for successful web projects, whether large or small. With this book you’ll learn how to master the world of distributed version workflow, use the distributed features of Git to the full, and extend Git to meet your every need. Written by Git pros Scott Chacon and Ben Straub, Pro Git (Second Edition) builds on the hugely successful first edition, and is now fully updated for Git version 2.0, as well as including an indispensable chapter on GitHub. It’s the best book for all your Git needs.
Summary Gradle in Action is a comprehensive guide to end-to-end project automation with Gradle. Starting with the basics, this practical, easy-to-read book discusses how to build a full-fledged, real-world project. Along the way, it touches on advanced topics like testing, continuous integration, and monitoring code quality. You'll also explore tasks like setting up your target environment and deploying your software. About the Technology Gradle is a general-purpose build automation tool. It extends the usage patterns established by its forerunners, Ant and Maven, and allows builds that are expressive, maintainable, and easy to understand. Using a flexible Groovy-based DSL, Gradle provides declarative and extendable language elements that let you model your project's needs the way you want. About the Book Gradle in Action is a comprehensive guide to end-to-end project automation with Gradle. Starting with the basics, this practical, easy-to-read book discusses how to establish an effective build process for a full-fledged, real-world project. Along the way, it covers advanced topics like testing, continuous integration, and monitoring code quality. You'll also explore tasks like setting up your target environment and deploying your software. The book assumes a basic background in Java, but no knowledge of Groovy. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Whats Inside A comprehensive guide to Gradle Practical, real-world examples Transitioning from Ant and Maven In-depth plugin development Continuous delivery with Gradle About the Author Benjamin Muschko is a member of the Gradleware engineering team and the author of several popular Gradle plugins. Table of Contents PART 1 INTRODUCING GRADLE Introduction to project automation Next-generation builds with Gradle Building a Gradle project by example PART 2 MASTERING THE FUNDAMENTALS Build script essentials Dependency management Multiproject builds Testing with Gradle Extending Gradle Integration and migration PART 3 FROM BUILD TO DEPLOYMENT IDE support and tooling Building polyglot projects Code quality management and monitoring Continuous integration Artifact assembly and publishing Infrastructure provisioning and deployment
Page 26: How can I avoid off-by-one errors? Page 143: Are Trojan Horse attacks for real? Page 158: Where should I look when my application can't handle its workload? Page 256: How can I detect memory leaks? Page 309: How do I target my application to international markets? Page 394: How should I name my code's identifiers? Page 441: How can I find and improve the code coverage of my tests? Diomidis Spinellis' first book, Code Reading, showed programmers how to understand and modify key functional properties of software. Code Quality focuses on non-functional properties, demonstrating how to meet such critical requirements as reliability, security, portability, and maintainability, as well as efficiency in time and space. Spinellis draws on hundreds of examples from open source projects--such as the Apache web and application servers, the BSD Unix systems, and the HSQLDB Java database--to illustrate concepts and techniques that every professional software developer will be able to appreciate and apply immediately. Complete files for the open source code illustrated in this book are available online at: http://www.spinellis.gr/codequality/
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.
This book presents source code modularization as a key activity in reverse engineering to extract the software architecture from the existing source code. To this end, it provides detailed techniques for source code modularization and discusses their effects on different software quality attributes. Nonetheless, it is not a mere survey of source code modularization algorithms, but rather a consistent and unifying theoretical modularization framework, and as such is the first publication that comprehensively examines the models and techniques for source code modularization. It enables readers to gain a thorough understanding of topics like software artifacts proximity, hierarchical and partitional modularization algorithms, search- and algebraic-based software modularization, software modularization evaluation techniques and software quality attributes and modularization. This book introduces students and software professionals to the fundamental ideas of source code modularization concepts, similarity/dissimilarity metrics, modularization metrics, and quality assurance. Further, it allows undergraduate and graduate students in software engineering, computer science, and computer engineering with no prior experience in the software industry to explore the subject in a step-by-step manner. Practitioners benefit from the structured presentation and comprehensive nature of the materials, while the large number of bibliographic references makes this book a valuable resource for researchers working on source code modularization.
