Multidimensional Data Visualization

Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python--even if you're new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate your career path with this comprehensive guide to learning PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning

The book builds on an analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. The idea is to bolster students' interest by proposing a new take on the topic that draws on a data analytics approach of molecules. Specifically, how the analysis of their individual features, as well as of interactions and "communication" processes can predict their properties and collective behavior, just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research e.g. environmental and energy applications, will be used.Key Features: Draws on a data analytics approach of molecules Covers hot topics such as artificial intelligence and machine learning of molecular trends Applications to systems at the cutting-edge of research e.g. environmental and energy applications, are used Discusses molecular simulation and links with other important, emergin

This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective.Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book's experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helpi

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

Once dismissed as a fading genre with little to say to contemporary audiences, the giant monster movie genre roared back to life in the new millennium. In one of modern cinema's most surprising turnarounds, a wave of 21st-century kaiju films has delivered exciting and thought-provoking viewing to global audiences. In a variety of works that range from action-packed CGI spectacles to more personal, introspective productions that comment on real-world issues of the day, the new millennium has witnessed some of the most intriguing films in any genre, including movies from acclaimed directors such as Guillermo del Toro, Bong Joon-ho, Peter Jackson, and more. This book takes a sober, multidimensional look at the new class of giant monster movies. It examines the making of these films and their sometimes-obscure meanings. It also covers efforts to reinvent storied kaiju characters from the past, including Godzilla and King Kong, and to transform the genre with movies such as Cloverfield, The

Based on the Judicial Transparency Index Assessment (2019 and 2020) conducted in China by the Institute of Law of the Chinese Academy of Social Sciences, this book summarizes and analyzes the current situation of judicial openness in China, using a sample of 218 courts across the country for the study. The book analyzes the ideological and institutional origins of judicial openness and examines the operation of judicial openness through the practical experience of role replacement. By analyzing evaluation data in the fields of audit information disclosure, trial information disclosure, judicial enforcement data disclosure, and judicial reform data disclosure, the book points out that the current judicial disclosure has made significant progress, but there are still problems such as unclear disclosure standards, insufficient rigidity in disclosure requirements, and the scope of disclosure still needs to be expanded.The book recommends accelerating the disclosure of judicial legislation,

Follow this comprehensive guide as it provides you with a deep understanding of Azure security principles, best practices, and implementation strategies aligned with the NIST Cybersecurity Framework (CSF). The book covers various topics from Azure security to designing and deploying solutions for infrastructure, data, and applications, including identify, protect, detect, respond, and recover solutions, in line with the NIST CSF.The book will take you through an introduction and the basic requirements for cloud security aligned with the NIST CSF. And then it will teach you how to design and deploy security for infrastructure, data, and apps security in an Azure enterprise environment. The book covers the NIST CSF and various cloud services offered by Microsoft Azure, maps each service against the NIST CSF, and explains each section with design and deployment considerations from a cybersecurity viewpoint.After reading this book, you will understand NIST CSF alignment with Microsoft Azur

This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; uni

DISCOVERING COMPUTERS: DIGITAL TECHNOLOGY, DATA, AND DEVICES, 17th edition, teaches you not only the basics of technology, but also how you will use it -- and the responsibilities that go along with being a digital citizen. Focusing on current technology, the content addresses convergence of devices and platforms. Each module integrates practical how-to tips, ethics issues and security topics, while Consider This boxes woven throughout help you sharpen your critical-thinking skills. A variety of end-of-module activities -- checkpoint questions, small group activities and problem-solving exercises -- enable you to put what you learn into practice. MindTap digital learning solution is also available. Using an inviting approach that ensures understanding, DISCOVERING COMPUTERS equips you with the information you need for success at home, school and work.

The most original and authoritative voice of today's English lexicography presents a fully revised new edition of his beloved usage dictionary When Bryan Garner published the first edition of A Dictionary of Modern American Usage in 1999, the book quickly became one of the most influential style guides ever written for the English language. After four previous editions and over twenty years, our language has evolved in many ways, and thepowerful tool of big data has revolutionized lexicography. This extensively revised new edition fully captures these changes, featuring a thousand new entries and over two hundred replacement entries, thoroughly updated usage data and ratios on word frequency based on the Google Ngram Viewer, a morebalanced coverage of World Englishes, not just American and British, and the inclusion of gender-neutral language. However, one thing has not changed: in no sense is this a regular dictionary but a masterpiece of lexicography written with wit and personality

An empirical study and analysis of heart disease prediction involves using data analysis techniques to identify patterns and risk factors associated with cardiovascular disease. This approach utilizes machine learning algorithms to classify patients based on their likelihood of developing heart disease.The study involves collecting data on risk factors such as age, gender, family history, blood pressure, cholesterol levels, smoking, and diabetes. Feature selection techniques are used to identify the most important risk factors, and a classification model is trained using these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC.This empirical study and analysis has several advantages, including the ability to identify new risk factors associated with heart disease, improved accuracy in predicting cardiovascular risk, and the potential to develop more personalized prevention and treatment strategies. This approach has the potential to

Eleven types of armors were laboratory tested and their performances concerning the random placements of armors for two different surface slopes of rubble mound breakwater were compared. The three major categories of performance comparison are wave reflection, wave run-up and run-down, and armor stability. Due to the vast differences both in the setups of experiments and in the methodologies of data acquisition and analyses, the multitude of existing literatures yielded extremely scattering results, which are generally quite inconclusive and inconsistent, as well as incomparable. To cope with these problems the present research carries out the following: (1) Factors that affect armor behaviors are detailed and those that are modeled or not are indicated; (2) A real time laboratory system for data acquisition, monitoring, calibration, and analyses is developed, and the integrated program aims to provide accurate, convenient, and automated on-site processes; (3) Based upon the intrinsic

Developing Cybersecurity Programs and Policies is a complete guide to establishing a cyber security program and governance in your organization. In this book, you will learn how to create cyber security policies, standards, procedures, guidelines, and plans-and the differences among them. You will also learn how threat actors are launching attacks against their victims-compromising confidentiality, integrity, and availability of systems and networks. Santos starts by providing an overview of cybersecurity policy and governance, and how to create cybersecurity policies and develop a cybersecurity framework. He then provides details about governance, risk management, asset management, and data loss prevention. Learn how to: Respond to incidents and ensure continuity of operations Comply with laws and regulations, including GLBA, HIPAA/HITECH, FISMA, state data security and notification rules, and PCI DSS Systematically identify, prioritize, and manage cyber security risks and reduce s