ace the coding interview with Python and JavaScript

The past decade has seen many advances in physical layer wireless communication theory and their implementation in wireless systems. This textbook takes a unified view of the fundamentals of wireless communication and explains the web of concepts underpinning these advances at a level accessible to an audience with a basic background in probability and digital communication. Topics covered include MIMO (multi-input, multi-output) communication, space-time coding, opportunistic communication, OFDM and CDMA. The concepts are illustrated using many examples from real wireless systems such as GSM, IS-95 (CDMA), IS-856 (1 x EV-DO), Flash OFDM and UWB (ultra-wideband). Particular emphasis is placed on the interplay between concepts and their implementation in real systems. An abundant supply of exercises and figures reinforce the material in the text. This book is intended for use on graduate courses in electrical and computer engineering and will also be of great interest to practising engi

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

While other books focus on special internet registers, like tweets or texting, no previous study describes the full range of everyday registers found on the searchable web. These are the documents that readers encounter every time they do a Google search, from registers like news reports, product reviews, travel blogs, discussion forums, FAQs, etc. Based on analysis of a large, near-random corpus of web documents, this monograph provides comprehensive situational, lexical, and grammatical descriptions of those registers. Beginning with a coding of each document in the corpus, the description identifies the registers that are especially common on the searchable web versus those that are less commonly found. Multi-dimensional analysis is used to describe the overall patterns of linguistic variation among web registers, while the second half of the book provides an in-depth description of each individual register, including analyses of situational contexts and communicative purposes, toge

C is one of the most popular programming languages today. It is flexible, efficient and highly portable, and is used for writing many different kinds of programs, from compilers and assemblers to spreadsheets and games. This book is based on ANSI C - the recently adopted standard for the C language. It assumes familiarity with basic programming concepts such as variables, constants, iteration and looping, but covers all aspects of C. In general it is as much about learning programming skills as it is about mastering the art of coding programs in C. To this end the text contains a wealth of examples and exercises that foster and test the understanding of the concepts developed in each chapter. An outstanding feature of this book is a treatment of 'pointers'. The topic is presented in a clear, logical and reasoned manner that is easy to follow. Binary files and random access files are also treated in such a manner that the reader can easily become adept at using them. Anybody who wishes

Non-literal language is ubiquitous in everyday life, and while hyperbole is a major part of this, it has so far remained relatively unexplored. This volume provides the first investigation of hyperbole in English, drawing on data from genres such as spoken conversation, TV, newspapers, and literary works from Chaucer to Monty Python. Combining quantitative and qualitative analyses, it uses approaches from semantics, pragmatics, discourse analysis and classical rhetoric to investigate in detail both speaker-centered and emotive aspects of hyperbole, and also addressee-related aspects, such as interpretation and interactional uptake. Illustrated with a range of diachronic case studies, hyperbole is also shown to be a main means of linguistic creativity, and an important contributor to language change. The book concludes with an exploration of the role of hyperbole in political speaking, humour, and literature. Original and in-depth, it will be invaluable to all those working on meaning,

Non-literal language is ubiquitous in everyday life, and while hyperbole is a major part of this, it has so far remained relatively unexplored. This volume provides the first investigation of hyperbole in English, drawing on data from genres such as spoken conversation, TV, newspapers, and literary works from Chaucer to Monty Python. Combining quantitative and qualitative analyses, it uses approaches from semantics, pragmatics, discourse analysis and classical rhetoric to investigate in detail both speaker-centered and emotive aspects of hyperbole, and also addressee-related aspects, such as interpretation and interactional uptake. Illustrated with a range of diachronic case studies, hyperbole is also shown to be a main means of linguistic creativity, and an important contributor to language change. The book concludes with an exploration of the role of hyperbole in political speaking, humour, and literature. Original and in-depth, it will be invaluable to all those working on meaning,

This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.

A complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in relevant financial contexts. Maintaining the accessible prose and clear examples of previous editions, the new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python so

Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: a new chapter on singular values and singular vectors, including ways to analyze a matrix of data; a revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages; a new section on linear algebra and cryptography; and a new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python.