Introduction to Python Programming And Data Structure By Liang

The first process-based textbook on how soils form and function in biogeochemical cycles, offering a self-contained and integrated overview of the field as it now stands for advanced undergraduate and graduate students in soil science, environmental science, and the wider Earth sciences. The jargon-free approach quickly familiarises students with the field's theoretical foundations before moving on to analyse chemical and other numerical data, building the necessary skills to develop questions and strategies for original research by the end of a single semester course. The field-based framework equips students with the essential tools for accessing and interpreting the vast USDA soil dataset, allowing them to establish a working knowledge of the most important modern developments in soil research. Complete with numerous end-of-chapter questions, figures and examples, students will find this textbook a multidisciplinary toolkit invaluable to their future careers.

The first process-based textbook on how soils form and function in biogeochemical cycles, offering a self-contained and integrated overview of the field as it now stands for advanced undergraduate and graduate students in soil science, environmental science, and the wider Earth sciences. The jargon-free approach quickly familiarises students with the field's theoretical foundations before moving on to analyse chemical and other numerical data, building the necessary skills to develop questions and strategies for original research by the end of a single semester course. The field-based framework equips students with the essential tools for accessing and interpreting the vast USDA soil dataset, allowing them to establish a working knowledge of the most important modern developments in soil research. Complete with numerous end-of-chapter questions, figures and examples, students will find this textbook a multidisciplinary toolkit invaluable to their future careers.

Macroeconomics: An Introduction, provides a lucid and novel introduction to macroeconomic issues. It introduces the reader to an alternative approach of understanding macroeconomics, which is inspired by the works of Adam Smith, David Ricardo, Karl Marx, John Maynard Keynes, and Piero Sraffa. It also presents the reader with a critical account of mainstream marginalist macroeconomics. The book begins with a brief history of economic theories and then takes the reader through three different ways of conceptualizing the macroeconomy. Subsequently, the theories of money and interest rates, output and employment levels, and economic growth are discussed. The book ends by providing a policy template for addressing the macroeconomic concerns of unemployment and inflation. The conceptual discussion in Macroeconomics is situated within the context of the Indian economy. Besides using publicly available data, the contextual description is instantiated using excerpts from works of fiction by Ind

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

Macroeconomics: An Introduction, provides a lucid and novel introduction to macroeconomic issues. It introduces the reader to an alternative approach of understanding macroeconomics, which is inspired by the works of Adam Smith, David Ricardo, Karl Marx, John Maynard Keynes, and Piero Sraffa. It also presents the reader with a critical account of mainstream marginalist macroeconomics. The book begins with a brief history of economic theories and then takes the reader through three different ways of conceptualizing the macroeconomy. Subsequently, the theories of money and interest rates, output and employment levels, and economic growth are discussed. The book ends by providing a policy template for addressing the macroeconomic concerns of unemployment and inflation. The conceptual discussion in Macroeconomics is situated within the context of the Indian economy. Besides using publicly available data, the contextual description is instantiated using excerpts from works of fiction by Ind

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

The gas and dust between the stars emit across the electromagnetic spectrum and are found in a range of physical conditions from diffuse plasmas to cold, dense molecules. Through their study we see how quantum processes shape the structure of our Galaxy and fluid mechanics sets the stellar mass scale. The Interstellar Medium is a very broad subject with layers of complexity, a long history and a steady flow of new results. This comprehensive yet accessible textbook provides a self-contained one-semester course for advanced undergraduate or beginning graduate students. It is written in a style that students can follow by themselves and allows instructors to use class time to go deeper into the details or show applications to current research. It makes extensive use of publicly accessible data to illustrate specific points and to encourage students to learn by performing their own analyses.

A project-filled introduction to coding that shows kids how to build programs by making cool games.Scratch, the colorful drag-and-drop programming language, is used by millions of first-time learners worldwide. Scratch 3 features an updated interface, new programming blocks, and the ability to run on tablets and smartphones, so you can learn how to code on the go. In Scratch 3 Programming Playground, you'll learn to code by making cool games. Get ready to destroy asteroids, shoot hoops, and slice and dice fruit! Each game includes easy-to-follow instructions with full-color images, review questions, and creative coding challenges to make the game your own. Want to add more levels or a cheat code? No problem, just write some code. You'll learn to make games like:Maze Runner: escape the maze!Snaaaaaake: gobble apples and avoid your own tailAsteroid Breaker: smash space rocksFruit Slicer: a Fruit Ninja cloneBrick Breaker: a remake of Breakout, the brick-breaking classicPlatformer: a game

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

This book gives an introduction to the programming language Structured Text (ST) which is used in Programmable Logic Controllers (PLC). The book can be used for all types of PLC brands including Siemens Structured Control Language (SCL) and Programmable Automation Controllers (PAC). This 3rd edition has been updated and expanded with many of the suggestions and questions that readers and students have come up with, including the desire for many more illustrations and program examples. CONTENTS: - Background, benefits and challenges of ST programming - Syntax, data types, best practice and basic ST programming - IF-THEN-ELSE, CASE, FOR, CTU, TON, STRUCT, ENUM, ARRAY, STRING - Guide for best practice naming, troubleshooting, test and program structure - Sequencer and code split-up into functions and function blocks - FIFO, RND, sorting, scaling, toggle, simulation signals and digital filter - Tank controls, conveyor belts, adaptive pump algorithm and robot control - PLC program structure

While much is known about who votes in American elections, much less is known about who donates. In this book, the authors utilize a unique and historically unprecedented data set of donors from the 2008 and 2012 presidential elections to answer longstanding questions: what is the relationship between donors and candidates? How do candidates attract and respond to contributors? How do campaign strategies reflect changing campaign finance laws and the development of the internet? With unprecedented cooperation from the Obama, McCain, and Romney campaigns, the authors investigate presidential campaign donors at all giving levels to produce the most systematic and complete analysis of donors to presidential nominees to date. As elections are decided increasingly by donors' dollars, Who Donates to Campaigns? provides relevant research on the broader trends in partisan polarization and, more generally, on how campaigns can engage more citizens in political participation.

Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.

Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.

This book offers translations of ten rhetorical declamations of the fourth-century AD sophist Libanius of Antioch and some related texts, almost all appearing for the first time in a modern language. In these works the declaimer impersonates such mythological or historical figures as Poseidon, Paris, Achilles, and Orestes, either in court (as prosecutor or defendant) or by trying to persuade his audience to take a course of action. The texts illustrate the sophist's eloquence and had an educational purpose in the schools, but were also delivered before adult audiences. They also put the Hellenic past on display for audiences of the Greek East in the Roman Empire. The annotated translations are accompanied by analyses of their themes, structure, and argumentation.

With great potential benefit and possible harm, online social media platforms are transforming human society. Based on decades of deep exploration, distinguished scholar William Sims Bainbridge surveys our complex virtual society, harvesting insights about the future of our real world. Many pilot studies demonstrate valuable research methods and explanatory theories. Tracing membership interlocks between Facebook groups can chart the structure of a social movement, like the one devoted to future spaceflight development. Statistical data on the roles played by people in massively multiplayer online games illustrate the Silicon Law: information technology energizes both freedom and control, in a dynamic balance. The significance of open-source software suggests the traditional distinction between professional and amateur may fade, whereas web-based conflicts between religious and political groups imply that chasms are opening in civil society. This analysis of online space and the diverg

For the Love of Language: An Introduction to Linguistics is an engaging introduction to human language and the role of linguistics in understanding its fundamental design, acquisition and functions. Replete with case studies and examples from Australia, New Zealand and around the world, this text offers a thorough introduction to core topics, including the structure and meaning of words, the systems that organise language, strategies for learning about language, the evolution of language and the function of language as a complex social resource. The second edition includes extensive new content across the entire text, including the areas of orthography, syntax, corpus linguistics, language acquisition and multilingualism. Each topic is accompanied by a wide array of pedagogical resources designed to consolidate student understanding, including examples and exercises. Each chapter ends with a research project, providing readers with an opportunity to build on fundamental skills and enga

Get ready to code with this easy-to-use book full of projects and tips to get kids programming.Each book in the Ready, Steady Code! series has 4 step-by-step projects with an introduction section (Rea

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

Become proficient in deriving insights from time-series data and analyzing a model's performanceKey Features: Explore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time-series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description: Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making.This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with

An accessible and thorough introduction to implicatures, a key topic in all frameworks of pragmatics. Starting with a definition of the various types of implicatures in Gricean, neo-Gricean and post-Gricean pragmatics, the book covers many important questions for current pragmatic theories, namely: the distinction between explicit and implicit forms of pragmatic enrichment, the criteria for drawing a line between semantic and pragmatic meaning, the relations between the structure of language (syntax) and its use (pragmatics), the social and cognitive factors underlying the use of implicatures by native speakers, and the factors influencing their acquisition for children and second language learners. Written in non-technical language, Implicatures will appeal to students and teachers in linguistics, applied linguistics, psychology and sociology, who are interested in how language is used for communication, and how children and learners develop pragmatic skills.

A lively introduction to morphology, this textbook is intended for undergraduates with relatively little background in linguistics. It shows students how to find and analyze morphological data and presents them with basic concepts and terminology concerning the mental lexicon, inflection, derivation, morphological typology, productivity, and the interfaces between morphology and syntax on the one hand and phonology on the other. By the end of the text students are ready to understand morphological theory and how to support or refute theoretical proposals. Providing data from a wide variety of languages, the text includes hands-on activities designed to encourage students to gather and analyse their own data. The third edition has been thoroughly updated with new examples and exercises. Chapter 2 now includes an updated detailed introduction to using linguistic corpora, and there is a new final chapter covering several current theoretical frameworks.

A lively introduction to morphology, this textbook is intended for undergraduates with relatively little background in linguistics. It shows students how to find and analyze morphological data and presents them with basic concepts and terminology concerning the mental lexicon, inflection, derivation, morphological typology, productivity, and the interfaces between morphology and syntax on the one hand and phonology on the other. By the end of the text students are ready to understand morphological theory and how to support or refute theoretical proposals. Providing data from a wide variety of languages, the text includes hands-on activities designed to encourage students to gather and analyse their own data. The third edition has been thoroughly updated with new examples and exercises. Chapter 2 now includes an updated detailed introduction to using linguistic corpora, and there is a new final chapter covering several current theoretical frameworks.

Publishing Scholarly Editions offers new intellectual tools for publishing digital editions that bring readers closer to the experimental practices of literature, editing, and reading. After the Introduction (Section 1), Sections 2 and 3 frame intentionality and data analysis as intersubjective, interrelated, and illustrative of experience-as-experimentation. These ideas are demonstrated in two editorial exhibitions of nineteenth-century works: Herman Melville's Billy Budd, Sailor, and the anti-slavery anthology The Bow in the Cloud, edited by Mary Anne Rawson. Section 4 uses pragmatism to rethink editorial principles and data modelling, arguing for a broader conception of the edition rooted in data collections and multimedia experience. The Conclusion (Section 5) draws attention to the challenges of publishing digital editions, and why digital editions have failed to be supported by the publishing industry. If publications are conceived as pragmatic inventions based on reliable, open-

Complex networks datasets often come with the problem of missing information: interactions data that have not been measured or discovered, may be affected by errors, or are simply hidden because of privacy issues. This Element provides an overview of the ideas, methods and techniques to deal with this problem and that together define the field of network reconstruction. Given the extent of the subject, the authors focus on the inference methods rooted in statistical physics and information theory. The discussion is organized according to the different scales of the reconstruction task, that is, whether the goal is to reconstruct the macroscopic structure of the network, to infer its mesoscale properties, or to predict the individual microscopic connections.

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de

The regulation of technology is an important and topical area of law, relevant to almost all aspects of society. Technology Law: Australian and International Perspectives presents a thorough exploration of the new legal challenges created by evolving technologies, from the use of facial recognition technology in criminal investigations to the rise and regulation of cryptocurrencies. A well-written and fascinating introduction to technology law in Australia and internationally, Technology Law provides thorough coverage of the theoretical perspectives, legislation, cases and developing issues where technology and the law interact. The text covers data protection and privacy, healthcare technology, criminal justice technology, commercial transactions, cybercrime, social media and intellectual property, and canvasses the future of technology and technology law. Written by leading experts in the field, Technology Law is an excellent resource for law students and legal professionals with an

The ideal textbook for non-science majors, this lively and engaging introduction encourages students to ask questions, assess data critically and think like a scientist. Building on the success of previous editions, Dinosaurs has been thoroughly updated to include new discoveries in the field, such as the toothed bird specimens found in China and recent discoveries of dinosaur soft anatomy. Illustrations by leading paleontological illustrator John Sibbick and new, carefully-chosen photographs, clearly show how dinosaurs looked, lived and their role in Earth history. Making science accessible and relevant through clear explanations and extensive illustrations, the text guides students through the dinosaur groups, emphasizing scientific concepts rather than presenting endless facts. Grounded in the common language of modern evolutionary biology – phylogenetic systematics – students learn to think about dinosaurs the way that professional paleontologists do.

The ideal textbook for non-science majors, this lively and engaging introduction encourages students to ask questions, assess data critically and think like a scientist. Building on the success of previous editions, Dinosaurs has been thoroughly updated to include new discoveries in the field, such as the toothed bird specimens found in China and recent discoveries of dinosaur soft anatomy. Illustrations by leading paleontological illustrator John Sibbick and new, carefully-chosen photographs, clearly show how dinosaurs looked, lived and their role in Earth history. Making science accessible and relevant through clear explanations and extensive illustrations, the text guides students through the dinosaur groups, emphasizing scientific concepts rather than presenting endless facts. Grounded in the common language of modern evolutionary biology – phylogenetic systematics – students learn to think about dinosaurs the way that professional paleontologists do.

PostGIS in Action, Third Edition shows you how to solve real-world geodata problems. You'll go beyond basic mapping, and explore custom functions for your applications. SummaryIn PostGIS in Action, Third Edition you will learn: An introduction to spatial databasesGeometry, geography, raster, and topology spatial types, functions, and queriesApplying PostGIS to real-world problemsExtending PostGIS to web and desktop applicationsQuerying data from external sources using PostgreSQL Foreign Data WrappersOptimizing queries for maximum speedSimplifying geometries for greater efficiency PostGIS in Action, Third Edition teaches readers of all levels to write spatial queries for PostgreSQL. You'll start by exploring vector-, raster-, and topology-based GIS before quickly progressing to analyzing, viewing, and mapping data. This fully updated third edition covers key changes in PostGIS 3.1 and PostgreSQL 13, including parallelization support, partitioned tables, and new JSON functions that help

Numerical relativity has emerged as the key tool to model gravitational waves - recently detected for the first time - that are emitted when black holes or neutron stars collide. This book provides a pedagogical, accessible, and concise introduction to the subject. Relying heavily on analogies with Newtonian gravity, scalar fields and electromagnetic fields, it introduces key concepts of numerical relativity in a context familiar to readers without prior expertise in general relativity. Readers can explore these concepts by working through numerous exercises, and can see them 'in action' by experimenting with the accompanying Python sample codes, and so develop familiarity with many techniques commonly employed by publicly available numerical relativity codes. This is an attractive, student-friendly resource for short courses on numerical relativity, as well as providing supplementary reading for courses on general relativity and computational physics.

Numerical relativity has emerged as the key tool to model gravitational waves - recently detected for the first time - that are emitted when black holes or neutron stars collide. This book provides a pedagogical, accessible, and concise introduction to the subject. Relying heavily on analogies with Newtonian gravity, scalar fields and electromagnetic fields, it introduces key concepts of numerical relativity in a context familiar to readers without prior expertise in general relativity. Readers can explore these concepts by working through numerous exercises, and can see them 'in action' by experimenting with the accompanying Python sample codes, and so develop familiarity with many techniques commonly employed by publicly available numerical relativity codes. This is an attractive, student-friendly resource for short courses on numerical relativity, as well as providing supplementary reading for courses on general relativity and computational physics.

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking

Sociophonetics focuses on the relationship between phonetic or phonological form on the one hand, and social and regional factors on the other, working across fields as diverse as sociolinguistics, phonetics, speech sciences and psycholinguistics. Covering methodological, theoretical and computational approaches, this engaging introduction to sociophonetics brings new insights to age-old questions about language variation and change, and to the broader nature of language. It includes examples of important work on speech perception, focusing on vowels and sibilants throughout to provide detailed exemplification. The accompanying website provides a range of online resources, including audio files, data processing scripts and links. Written in an accessible style, this book will be welcomed by students and researchers in sociolinguistics, phonetics, speech sciences and psycholinguistics. See book website at http://lingtools.uoregon.edu/sociophonetics/

Sociophonetics focuses on the relationship between phonetic or phonological form on the one hand, and social and regional factors on the other, working across fields as diverse as sociolinguistics, phonetics, speech sciences and psycholinguistics. Covering methodological, theoretical and computational approaches, this engaging introduction to sociophonetics brings new insights to age-old questions about language variation and change, and to the broader nature of language. It includes examples of important work on speech perception, focusing on vowels and sibilants throughout to provide detailed exemplification. The accompanying website provides a range of online resources, including audio files, data processing scripts and links. Written in an accessible style, this book will be welcomed by students and researchers in sociolinguistics, phonetics, speech sciences and psycholinguistics. See book website at http://lingtools.uoregon.edu/sociophonetics/

Prepare for clinical practice by "solving" 29 realistic case studies in nutrition and medical nutrition therapy. Using the medical record as its structure, you draw on the information provided (hospital admission data, laboratory test results, intake/output records, and physician and other health care provider progress notes) to solve the case. A series of questions follow the case, focusing on pathophysiology; assessment; clinical, nutritional, and behavioral outcomes; interventions; and appropriate follow-up for the patient.

Everything we do involves language. Assuming no prior knowledge, this book offers students a contemporary introduction to the study of language. Each thought-provoking chapter is accessible to readers from a variety of fields, and is helpfully organized across six parts: sound; structure and meaning; language typologies and change; language and social aspects; language acquisition; and language, cognition, and the brain. The book's companion website also offers three brief chapters on language and computers; animal communication; and dialectal varieties of English. The chapters feature illustrative tables, figures and maps, along with three types of pedagogical boxes (Linguistic Tidbits; Pause and Reflect; and Eyes on World Languages) that break up text, contextualize information, and provide colourful accents that give real data from languages across the globe. Key words are bolded and defined in a glossary at the end of the book, while end-of-chapter summaries and practice exercises