Python Data Science Handbook

The Routledge Handbook of the Indian Diaspora provides an analysis of the social and economic contexts and the diasporic practices of the Indian Diaspora.Divided into seven parts, the handbook feature

Big data analytics provide more accurate, timely, and actionable decisions for both cybersecurity and IT management. This book gives a comprehensive coverage of state-of-the-art big data analytics in

"This book addresses different aspects of data management and ethical issues in research such as data collection, data processing, data storage and retention among others to produce a very comprehensi

This collection of original, interdisciplinary essays addresses the work of Monty Python members beyond the comedy show, films, and live performances. These men are prolific creators in a variety of a

Whether a student, an instructor, a researcher, or just someone interested in understanding the roots of sociology and our social world, The Cambridge Handbook of Sociology, Volume 2 is for you. This second volume of the Handbook covers specialties within sociology and interdisciplinary studies that relate to sociology. It includes perspectives on race, class, feminist theories, special topics (e.g. the sociology of nonhuman animals, quality of life/social indicators research, the sociology of risk, the sociology of disaster, the sociology of mental health, sociobiology, the sociology of science and technology, the sociology of violence, environmental justice, and the sociology of food), the sociology of the self, the sociology of the life course, culture and behavior, sociology's impact on society, and related fields (e.g. criminology, criminal justice studies, social work, social psychology, sociology of translation and translation studies, and women and gender studies). Each essay i

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However,

The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or anot

The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

?This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate le

From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data priva

This handbook offers the first comprehensive reference guide to the interdisciplinary field of model-based reasoning. It highlights the role of models as mediators between theory and experimentation,

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores

This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with da

Outlining recent trends in cybernetics and systems science, contributors in computer science, information technology, and mathematics present expository articles that include a number of open prob

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will

This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. A number of data-driven methods adapted to gr

This is a book about the scientific process and how it is applied to data in ecology. We will learn how to plan for data collection, how to assemble data, how to analyse data and finally how to presen

This handbook provides an introduction to and reference information about the science behind the production and use of particulate fillers in polymer applications. Fillers play an important role and a

In this volume of The ANNALS the task of linking a broad supply of information—from administrative data, to social media, to census and surveys, to ethnographic data, to data from randomized con

This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to t

Social science researchers have become increasing attentive to the role of numbers in contemporary life. Issues around big data, national test results, and output and performance statistics are now ro

The Routledge Handbook of Interpreting provides a comprehensive survey of the field of interpreting for a global readership. The handbook includes an introduction and four sections with thirty one cha

The SAGE Handbook of Coaching presents a comprehensive, global view of the discipline, identifying the current issues and practices, as well as mapping out where the discipline is going. The Handbook

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

Change is an inherent feature of all aspects of language, and syntax is no exception. While the synchronic study of syntax allows us to make discoveries about the nature of syntactic structure, the study of historical syntax offers even greater possibilities. Over recent decades, the study of historical syntax has proven to be a powerful scientific tool of enquiry with which to challenge and reassess hypotheses and ideas about the nature of syntactic structure which go beyond the observed limits of the study of the synchronic syntax of individual languages or language families. In this timely Handbook, the editors bring together the best of recent international scholarship on historical syntax. Each chapter is focused on a theme rather than an individual language, allowing readers to discover how systematic descriptions of historical data can profitably inform and challenge highly diverse sets of theoretical assumptions.

Presents standard numerical approaches for solving common mathematical problems in engineering using Python. Covers the most common numerical calculations used by engineering students Covers Numerica

Panel data is a data type increasingly used in research in economics, social sciences, and medicine. Its primary characteristic is that the data variation goes jointly over space (across individuals,

Science and Technology Studies (STS) is a flourishing interdisciplinary field that examines the transformative power of science and technology to arrange and rearrange contemporary societies. The Han

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the co

Missing data in longitudinal clinical trials has justifiably been the target of considerable research. However, missing data is just one of the many considerations in the analysis of longitudinal data

This volume presents analyses of data protection systems and of 26 jurisdictions with data protection legislation in Africa, as well as additional selected countries without comprehensive data protect

Handbook of Pineapple TechnologyPineapple is the third most important tropical fruit in the world, with production occurring throughout the tropics. The demand for low acid fresh pineapples and its pr

Cognitive Science is an avowedly multidisciplinary field, drawing upon many traditional disciplines or research areas--including Linguistics, Neuroscience, Philosophy, Psychology, Anthropology, Artifi

The EU's General Data Protection Regulation created the position of corporate Data Protection Officer (DPO), who is empowered to ensure the organization is compliant with all aspects of the new data p

Guiding chromatographers working in regulated industries and helping them to validate their chromatography data systems to meet data integrity, business and regulatory needs. This book is a detailed l

Leverage Python for expert-level volatility and variance derivative tradingListed Volatility and Variance Derivatives is a comprehensive treatment of all aspects of these increasingly popular derivati

The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional indu

Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet t

This book is designed to provide a comprehensive introduction to algorithms and data structures for on-disk based sorting and searching, as well as advanced disk technology. With a focus on big data,