Introduction to Python Programming And Data Structure By Liang

This comprehensive yet accessible textbook is an ideal resource for undergraduate and graduate students taking their first course in demography. Clearly explaining technical demographic issues without using extensive mathematics, Population and Society is sociologically oriented, but incorporates a variety of social sciences in its approach, including economics, political science, geography, and history. It highlights the significant impact of decision-making at the individual level - especially regarding fertility, but also mortality and migration - on population change. The text engages students by providing numerous examples of demography's practical applications in their lives, and demonstrates the extent of its relevance by examining a wide selection of data from the United States, Africa, Asia, and Europe. This thoroughly revised edition includes four new chapters, covering topics such as race and sexuality, and encourages students to consider the broad implications of population

This comprehensive yet accessible textbook is an ideal resource for undergraduate and graduate students taking their first course in demography. Clearly explaining technical demographic issues without using extensive mathematics, Population and Society is sociologically oriented, but incorporates a variety of social sciences in its approach, including economics, political science, geography, and history. It highlights the significant impact of decision-making at the individual level - especially regarding fertility, but also mortality and migration - on population change. The text engages students by providing numerous examples of demography's practical applications in their lives, and demonstrates the extent of its relevance by examining a wide selection of data from the United States, Africa, Asia, and Europe. This thoroughly revised edition includes four new chapters, covering topics such as race and sexuality, and encourages students to consider the broad implications of population

For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Written by famous statistician John Tukey, Introduction to Mathematical Statistics and Its Appli

Mathematics is not, and never will be, an empirical science, but mathematicians are finding that the use of computers and specialized software allows the generation of mathematical insight in the form of conjectures and examples, which pave the way for theorems and their proofs. In this way, the experimental approach to pure mathematics is revolutionizing the way research mathematicians work. As the first of its kind, this book provides material for a one-semester course in experimental mathematics that will give students the tools and training needed to systematically investigate and develop mathematical theory using computer programs written in Maple. Accessible to readers without prior programming experience, and using examples of concrete mathematical problems to illustrate a wide range of techniques, the book gives a thorough introduction to the field of experimental mathematics, which will prepare students for the challenge posed by open mathematical problems.

Originally published in 1948, this book was written to provide an introduction to the principal ideas necessary for an understanding in the experimental side of nuclear physics. Part one focuses on tracing the growth of the necessity of the concepts 'nuclear atom' and 'atomic-nucleus-possessing-internal-structure' for the progress of research in physics, whilst parts two, three and four summarise the developments of the subject, which followed upon the acceptance of this interpretation. Chapters include 'Nuclear charge and mass', 'Emission of quanta' and 'Transformations produced by neutrons'. Diagrams and tables are included for reference. This book will be of great value to scholars of the history of physics.

Cay Horstmanni??s second edition of Python for Everyone provides a comprehensive and approachable introduction to fundamental programming techniques and design skills, and helps students master basic

Cay Horstmanni??s second edition of Python for Everyone provides a comprehensive and approachable introduction to fundamental programming techniques and design skills, and helps students master basic

This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to

A full introduction to geodetic data and systems written by well-known experts in their respective fields, this book is an ideal text for courses in geodesy and geomatics covering everything from coor

An Introduction to Programming by the Inventor of C++, Programming prepares you for programming in the real world. This book assumes that you aim eventually to write non-trivial programs, whether for

Building up from microscopic basics to observed complex functions, this insightful monograph explains and describes how the unique molecular properties of water give rise to its structural and dynamical behaviour which in turn translates into its role in biological and chemical processes. The discussion of the biological functions of water details not only the stabilising effect of water in proteins and DNA, but also the direct role that water molecules themselves play in biochemical processes, such as enzyme kinetics, protein synthesis and drug-DNA interaction. The overview of the behaviour of water in chemical systems discusses hydrophilic, hydrophobic and amphiphilic effects, as well as the interactions of water with micelles, reverse micelles, microemulsions and carbon nanotubes. Supported by extensive experimental and computer simulation data, highlighting many of the recent advances in the study of water in complex systems, this is an ideal resource for anyone studying water at t

In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among t

This text is an unbound, binder-ready edition. Python for Everyone, 1st Edition is a comprehensive introduction to Python and computer programming, which focuses on the principles of programming, soft

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides student

Nearly all major planets and moons in our Solar System have been visited by spacecraft and the data they have returned has revealed the incredible diversity of planetary surfaces. Featuring a wealth of images, this textbook explores the geological evolution of the planets and moons. Introductory chapters discuss how information gathered from spacecraft is used to unravel the geological complexities of our Solar System. Subsequent chapters focus on current understandings of planetary systems. The textbook shows how planetary images and remote sensing data are analyzed through the application of fundamental geological principles. It draws on results from spacecraft sent throughout the Solar System by NASA and other space agencies. Aimed at undergraduate students in planetary geology, geoscience, astronomy and solar system science, it highlights the differences and similarities of the surfaces at a level that can be readily understood by non-specialists.

A systematic, unified treatment of orthogonal transform methods for signal processing, data analysis and communications, this book guides the reader from mathematical theory to problem solving in practice. It examines each transform method in depth, emphasizing the common mathematical principles and essential properties of each method in terms of signal decorrelation and energy compaction. The different forms of Fourier transform, as well as the Laplace, Z-, Walsh–Hadamard, Slant, Haar, Karhunen–Loève and wavelet transforms, are all covered, with discussion of how each transform method can be applied to real-world experimental problems. Numerous practical examples and end-of-chapter problems, supported by online Matlab and C code and an instructor-only solutions manual, make this an ideal resource for students and practitioners alike.

The authors—noted scholars and researchers—provide an up-to-date guide to qualitative study design, data collection, analysis, and reporting. Step by step, the authors explain a range of methodologies

For beginners and experienced programmers, this guide to Python provides practical instruction for developing useful applications with this popular multi-platform open source language. Beginning with

This self-contained text is an excellent introduction to Lie groups and their actions on manifolds. The authors start with an elementary discussion of matrix groups, followed by chapters devoted to th

Now available to an English-speaking audience, this book is a comprehensive grammar of classical Nahuatl, the literary language of the Aztecs. It offers students of Nahuatl a complete and clear treatment of the language's structure, grammar and vocabulary. It is divided into 35 chapters, beginning with basic syntax and progressing gradually to more complex structures. Each grammatical concept is illustrated clearly with examples, exercises and passages for translation. A key is provided to allow students to check their answers. By far the most approachable textbook of Nahuatl available, this book will be an excellent teaching tool both for classroom use and for readers pursuing independent study of the language. It will be an invaluable resource to anthropologists, ethnographers, historians, archaeologists and linguists alike.

Programming Entity Framework, 2e walks the reader through their first introduction to Entity Framework and the Entity Data Model, then builds on this knowledge bit by bit throughout the book as the g

Thoroughly revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of progress in several areas of scientific computing by relying on free software available from CERN. The book begins by dealing with basic computational tools and routines, covering approximating functions, differential equations, spectral analysis, and matrix operations. Important concepts are illustrated by relevant examples at each stage. The author also discusses more advanced topics, such as molecular dynamics, modeling continuous systems, Monte Carlo methods, genetic algorithm and programming, and numerical renormalization. It includes many more exercises. This can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.

This classic book is an introduction to dynamic programming, presented by the scientist who coined the term and developed the theory in its early stages. In Dynamic Programming, Richard E. Bellman int

From semiconductor fundamentals to semiconductor devices used in the telecommunications and computing industries, this 2005 book provides a solid grounding in the most important devices used in the hottest areas of electronic engineering. The book includes coverage of future approaches to computing hardware and RF power amplifiers, and explains how emerging trends and system demands of computing and telecommunications systems influence the choice, design and operation of semiconductors. Next, the field effect devices are described, including MODFETs and MOSFETs. Short channel effects and the challenges faced by continuing miniaturisation are then addressed. The rest of the book discusses the structure, behaviour, and operating requirements of semiconductor devices used in lightwave and wireless telecommunications systems. This is both an excellent senior/graduate text, and a valuable reference for engineers and researchers in the field.

Structural operational semantics is a simple, yet powerful mathematical theory for describing the behaviour of programs in an implementation-independent manner. This book provides a self-contained introduction to structural operational semantics, featuring semantic definitions using big-step and small-step semantics of many standard programming language constructs, including control structures, structured declarations and objects, parameter mechanisms and procedural abstraction, concurrency, nondeterminism and the features of functional programming languages. Along the way, the text introduces and applies the relevant proof techniques, including forms of induction and notions of semantic equivalence (including bisimilarity). Thoroughly class-tested, this book has evolved from lecture notes used by the author over a 10-year period at Aalborg University to teach undergraduate and graduate students. The result is a thorough introduction that makes the subject clear to students and computi

Structural operational semantics is a simple, yet powerful mathematical theory for describing the behaviour of programs in an implementation-independent manner. This book provides a self-contained introduction to structural operational semantics, featuring semantic definitions using big-step and small-step semantics of many standard programming language constructs, including control structures, structured declarations and objects, parameter mechanisms and procedural abstraction, concurrency, nondeterminism and the features of functional programming languages. Along the way, the text introduces and applies the relevant proof techniques, including forms of induction and notions of semantic equivalence (including bisimilarity). Thoroughly class-tested, this book has evolved from lecture notes used by the author over a 10-year period at Aalborg University to teach undergraduate and graduate students. The result is a thorough introduction that makes the subject clear to students and computi

Originally published in 1988, this book presents an introduction to lambda-calculus and combinators without getting lost in the details of mathematical aspects of their theory. Lambda-calculus is treated here as a functional language and its relevance to computer science is clearly demonstrated. The main purpose of the book is to provide computer science students and researchers with a firm background in lambda-calculus and combinators and show the applicabillity of these theories to functional programming. The presentation of the material is self-contained. It can be used as a primary text for a course on functional programming. It can also be used as a supplementary text for courses on the structure and implementation of programming languages, theory of computing, or semantics of programming languages.

The next major advance in the Web Web 3.0 will be built on semantic Web technologies, which will allow data to be shared and reused across application, enterprise, and community boundaries. Written by

R is a programming language, and the name of a software system that implements the language. This book shows how to use the R software package for data analysis, statistical programming, and graphics.

This book attempts to uncover the basic form and structure of the Babylonian Talmud, which is a centrally important text in Jewish studies. The contribution made by Dr Jacobs to the study of the Talmud consists in his presentation of the literary principles employed in its composition, and he here presents a clear survey indicating the manner in which earlier material was reworked in order to make each component, or sugya, into a carefully structured and self-consistent unit. Jacobs compares the editors' methods in this regard with the manner in which Shakespeare converted the variety of chronicles and source material available to him into a much more dramatic literary form, which - while preserving the kernel of the story - completely transformed its character and impact. Dr Jacobs' study constitutes an excellent introduction to the Babylonian Talmud and to the nature of rabbinic thinking.

Completely updated, this second edition gives a broad review of astronomical photometry to provide an understanding of astrophysics from a data-based perspective. It explains the underlying principles of the instruments used, and the applications and inferences derived from measurements. Each chapter has been fully revised to account for the latest developments, including the use of CCDs. Highly illustrated, this book provides an overview and historical background of the subject before reviewing the main themes within astronomical photometry. The central chapters focus on the practical design of the instruments and methodology used. The book concludes by discussing specialised topics in stellar astronomy, concentrating on the information derived from the analysis of the light curves of variable stars and close binary systems. It includes numerous bibliographic notes and a glossary of terms. It is ideal for graduate students, academic researchers and advanced amateurs interested in prac

This lively and innovative introduction to Shakespeare promotes active engagement with the plays, rather than recycling factual information. Covering a range of texts, it is divided into seven subject-based chapters: Character; Performance; Texts; Language; Structure; Sources and History, and it does not assume any prior knowledge. Instead, it develops ways of thinking and provides the reader with resources for independent research through the 'Where next?' sections at the end of each chapter. The book draws on scholarship without being overwhelmed by it, and unlike other introductory guides to Shakespeare it emphasizes that there is space for new and fresh thinking by students and readers, even on the most-studied and familiar plays.

This lively and innovative introduction to Shakespeare promotes active engagement with the plays, rather than recycling factual information. Covering a range of texts, it is divided into seven subject-based chapters: Character; Performance; Texts; Language; Structure; Sources and History, and it does not assume any prior knowledge. Instead, it develops ways of thinking and provides the reader with resources for independent research through the 'Where next?' sections at the end of each chapter. The book draws on scholarship without being overwhelmed by it, and unlike other introductory guides to Shakespeare it emphasizes that there is space for new and fresh thinking by students and readers, even on the most-studied and familiar plays.

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo

Schafer (Christian philosophy, U. of Munich) interprets Divine Names as a coherent and self-reliant Platonic treatise, whether it was written by the first-century Dionysius converted by Paul or by a s

Thoroughly revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of progress in several areas of scientific computing by relying on free software available from CERN. The book begins by dealing with basic computational tools and routines, covering approximating functions, differential equations, spectral analysis, and matrix operations. Important concepts are illustrated by relevant examples at each stage. The author also discusses more advanced topics, such as molecular dynamics, modeling continuous systems, Monte Carlo methods, genetic algorithm and programming, and numerical renormalization. It includes many more exercises. This can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.

Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theoryLeads the reader to a rigorous underst

A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students b