Introduction to Python Programming And Data Structure By Liang

Being an educator involves continual reflection on practice to improve student learning and engagement. Learning to Research and Researching to Learn is an essential introduction to developing research skills and conducting practitioner research in the field of education. Learning to Research and Researching to Learn covers all aspects of educational research, from how to conduct and engage with research, to how to collect, organise and analyse data. Using real-world examples and practitioner findings, the text encourages student and practitioner engagement through discussion questions and case studies relevant to educators in early childhood, primary and secondary contexts. Written by authors with extensive experience as both teachers and researchers, Learning to Research and Researching to Learn is an invaluable resource for educators in all stages of their professional careers.

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exerc

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exerc

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython.Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-orien

This book covers the origin and chemical structure of sedimentary organic matter, how that structure relates to appropriate chemical reaction models, how to obtain reaction data uncontaminated by heat

The inner core is a planet within a planet: a hot sphere with a mass of one hundred quintillion tons of iron and nickel that lies more than 5000 kilometres beneath our feet. It plays a crucial role in driving outer core fluid motion and the geodynamo, which generates the Earth's magnetic field. This book is the first to provide a comprehensive review of past and contemporary research on the Earth's inner core from a seismological perspective. Chapters cover the collection, processing and interpretation of seismological data, as well as our current knowledge of the structure, anisotropy, attenuation, rotational dynamics, and boundary of the inner core. Reviewing the latest research and suggesting new seismological techniques and future avenues, it is an essential resource for both seismologists and non-seismologists interested in this fascinating field of research. It will also form a useful resource for courses in seismology and deep Earth processes.

Presents an introduction to ancient India, covering such topics as religion, the military, cuisine, social structure, and everyday life, with instructions for fifteen handicraft projects for recreatin

C++ is a great place to learn programming. Learn the syntax of C++ and learning languages like Java, JavaScript, PHP, Python and many others are much easier.The way to learn programming is by doing. T

Scientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology, evolution, anthropology, palaeontology and related fields give valuable insights into the application of the described techniques, while complete example macros and useful procedures demonstrate the methods in action and provide starting points for readers to use or modify in their ow

Based on a wide array of data collected by the author, this book uses clear theoretically motivated economic analysis to explain the structure, performance, and influence of universal banks and securities markets on firms during industrialisation. The German universal banks played a significant but not overwhelming role in the ownership and control of corporate firms. Banks gained access to boards via a confluence of their underwriting and brokerage activities, the legal phenomena of bearer shares and deposited voting rights, and the flourishing securities markets of the turn of the twentieth century. In general, bank relationships had little impact on firm performance; stock market listings, or ownership structure, were more important. The findings show that securities markets can thrive within a civil-law, universal-bank system and suggest that financial system complexity can favour rapid industrial expansion.

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to sele

These lively narrative poems, attributed in antiquity to Homer, are works of great charm. Composed for recitation at festivals in honour of the gods, they tell of Apollo's birth on the island of Delos and his foundation of the Delphic oracle; Hermes' invention of the lyre and theft of his brother Apollo's cattle; and Aphrodite's love affair with the mortal Anchises. This edition offers a new text of these poems. The Introduction discusses among other things the nature and purpose of the poems in general, their origins, their structure and themes. The Commentary brings out the individual character of each Hymn, by analyzing in depth its language and literary qualities, and also its religious and historical aspects. The aim is to make these Hymns more accessible to students of Greek literature, and help them to appreciate the poems more fully as major works of early Greek poetry.

Henri Coudreau (1859–1899) was one of the greatest explorers of the nineteenth century. This 1892 book, containing vocabulary lists for four Amazonian indigenous languages, derives from his three expeditions to French Guyana described in La France Equinoxale (1887, also reissued in this series) and Chez nos Indiens (1892). Three of the languages belong to the Carib family, while the fourth, Emerillon is a Guarani-Tupi language. Coudreau's word lists, each organised by topics and grammatical categories, and subdivided partly alphabetically and partly by semantic field, represented a huge advance on previous publications on these languages, both in terms of quantity and in terms of syntactic data (examples of different persons and tenses). Dialect variation is also recorded in the case of Ouayana (Wayana) and Oyampi, which Coudreau encountered in two different areas. Coudreau's record remains a valuable resource for scholars of Native American languages and their history.

Fenton John Antony Hort (1828–1892) was Professor of Divinity at Cambridge and the editor, with B.F. Westcott, of an influential edition of the Greek New Testament. His detailed commentary on the Greek text of the Epistle (Letter) of St James was left incomplete at his death. When it was published in 1909, the editor wrote 'Each word and phrase and sentence has been examined in the light of the whole available evidence with characteristic freshness, and with a singularly delicate sense both of the meaning of words, and of subtle variations of grammatical structure.' The Introduction situates the Epistle in its New Testament context, and reflects on issues of authorship, reception and content. Hort's scholarly insights remain of interest to modern theologians. His work also bears witness to the strenuous efforts made by late Victorian theologians to create a textual bulwark against the growth of religious scepticism.

The articles in this volume cover some developments in complex analysis and algebraic geometry. The book is divided into three parts. Part I includes topics in the theory of algebraic surfaces and analytic surface. Part II covers topics in moduli and classification problems, as well as structure theory of certain complex manifolds. Part III is devoted to various topics in algebraic geometry analysis and arithmetic. A survey article by Ueno serves as an introduction to the general background of the subject matter of the volume. The volume was written for Kunihiko Kodaira on the occasion of his sixtieth birthday, by his friends and students. Professor Kodaira was one of the world's leading mathematicians in algebraic geometry and complex manifold theory: and the contributions reflect those concerns.

Regardless of major, students will be able to grasp concepts of problem-solving and programming — thanks to Liang’s ground breaking fundamentals-first approach, which enables students to understand pr

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.

Introduction to AccuMark, Pattern Design, and Product Data Management provides step-by-step instructions to Gerber Technology's in-demand software programs. AccuMark, used to copy patterns into the co

Based on a wide array of data collected by the author, this book uses clear theoretically motivated economic analysis to explain the structure, performance, and influence of universal banks and securities markets on firms during industrialisation. The German universal banks played a significant but not overwhelming role in the ownership and control of corporate firms. Banks gained access to boards via a confluence of their underwriting and brokerage activities, the legal phenomena of bearer shares and deposited voting rights, and the flourishing securities markets of the turn of the twentieth century. In general, bank relationships had little impact on firm performance; stock market listings, or ownership structure, were more important. The findings show that securities markets can thrive within a civil-law, universal-bank system and suggest that financial system complexity can favour rapid industrial expansion.

Practical Plant Identification is an essential guide to identifying flowering plant families (wild or cultivated) in the northern hemisphere. Details of plant structure and terminology accompany practical keys to identify 318 families into which flowering plants are divided. Specifically designed for practical use, the keys can easily be worked backwards for checking identifications. Containing descriptions of families and listings of the genera within, it also includes a section on further identification to generic and specific levels. A successor to the author's bestselling The Identification of Flowering Plant Families, this guide is updated, and retains the same concise user-friendly approach. Cullen skillfully leads the reader from restrictive disciplines of older taxonomy, into an era of increasing numbers of plant families defined by DNA analysis. Aimed primarily at students of botany and horticulture, this is a perfect introduction to plant identification for anyone intereste

This book develops the theory of typed feature structures, a data structure that generalizes both first-order terms and feature structures of unification-based grammars to include inheritance, typing, inequality, cycles and intensionality. The resulting synthesis serves as a logical foundation for grammars, logic programming and constraint-based reasoning systems. A logical perspective is adopted which employs an attribute-value description language along with complete equational axiomatizations of the various systems of feature structures. At the same time, efficiency concerns are kept in mind and complexity and representability results are provided. The application of feature structures to phrase structure grammars is described and completeness results are shown for standard evaluation strategies. Definite clause logic programs are treated as a special case of phrase structure grammars. Constraint systems are introduced and an enumeration technique is developed for solving arbitrary

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to sele

The articles in this volume cover some developments in complex analysis and algebraic geometry. The book is divided into three parts. Part I includes topics in the theory of algebraic surfaces and analytic surface. Part II covers topics in moduli and classification problems, as well as structure theory of certain complex manifolds. Part III is devoted to various topics in algebraic geometry analysis and arithmetic. A survey article by Ueno serves as an introduction to the general background of the subject matter of the volume. The volume was written for Kunihiko Kodaira on the occasion of his sixtieth birthday, by his friends and students. Professor Kodaira was one of the world's leading mathematicians in algebraic geometry and complex manifold theory: and the contributions reflect those concerns.

How can you create a successful brand? What makes a great entrepreneur? And why do some firms fail while others prosper?Part of DK’s indispensable Big Ideas series, this fully revised and updated new edition of The Business Book answers these questions and many more. The perfect introduction to the subject, it explores and explains everything from competition-based theory and critical-path analysis to market-mapping and the MABA matrix through a combination of easy-to-follow explanations, innovative graphics, and intriguing quotes.This fascinating new edition features:More than 90 of the most important ideas, events, and milestones in the field of business, business strategy, and management – from benchmarking and “Big Data” to Kaizen and cash flowSimple explanations, bold infographics and step-by-step diagrams that untangle knotty concepts, and witty illustrationsKey quotes from major figures from business history – from Andrew Carnegie to Warren BuffetEight pages of brand-new content

Elementary Linear Algebra: Applications Version, 12th Edition, gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation. In this edition, a new section has been added to describe the applications of linear algebra in emerging fields such as data science, machine learning, climate science, geomatics, and biological modeling. New exercises have been added with special attention to the expanded early introduction to linear transformations and new examples have been added, where needed, to support the exercise sets. Calculus is not a prerequisite, but there are clea

Designed for the introductory computing and computer science course, the student-friendly Computer Science Illuminated, Eighth Edition provides students with a solid foundation for further study, and offers non-majors a complete introduction to computing. Fully revised and updated, the eighth edition of this best-selling text retains the accessibility and in-depth coverage of previous editions, while incorporating all-new material on cutting-edge issues in computer science. Authored by the award-winning team Nell Dale and John Lewis, the text provides a unique and innovative layered approach, moving through the levels of computing from an organized, language-neutral perspective. Updated to latest AP CS PrinciplesNew section on cryptocurrencyExpanded coverage of blockchain, cybersecurity attacks, and e-commerceCloud Desktop and companion lab exercises are available on Navigate, which include 23 different lab exercises on topics such as programming, databases, networking, and more

The present book provides an introduction to the linguistic model of Construction Grammar, offering a full analysis of the grammar of the English language. It covers all levels of morpho-syntactic form-meaning units: including sentence types, tense and aspect, argument structure, phrases, idioms, word and morphological constructions. In line with its usage-based approach, all constructions are discussed using authentic corpus examples.In order to illustrate how constructions can be learnt, the book draws on authentic data from child language. Furthermore, corpus analysis is used to show which lexical items typically occur in the slots of constructions and make up their ‘collo-profile’. A key feature of the book is that it develops a systematic method for showing how constructions combine to form actual utterances.For this purpose, so-called ‘construction grids’ are developed which contain all the constructions that make up even the most complex sentences and show points of overlap betw

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

Terrorism, Politics, and Human Rights Advocacy provides an insider-outsider analysis of the #BringBackOurGirls (#BBOG) movement. Formed through a coalition of elite women and middle-class allies to advocate for the rescue of over 200 high school girls from Chibok, Nigeria, who were kidnapped by Boko Haram in 2014, the movement is a global leader in the 'lives matter' advocacy and a new episode in African women-led rights movements. Based on data garnered from over 170 research participants, Oriola demonstrates how the #BBOG transformed the Chibok kidnapping into an international cause and a social problem in a sociological sense, inadvertently creating a social problem industry. The volume provides in-depth analyses of the organizational structure, decision-making, repertoire of protest, framing, internal dynamics, and divisions within the #BBOG. Far more than a social media phenomenon, the #BBOG deploys a hybridized communication process which seamlessly combines the time-space compre

Do you worry that your understanding of English grammar isn’t what it should be? It may not be your fault. For hundreds of years, vague and confused ideas about how to state the rules have been passed down from one generation to the next. The available books for the general reader – thousands of them, shamelessly plagiarizing each other – repeat the same misguided definitions and generalizations that appeared in the schoolbooks used by your great-great-grandparents.Geoffrey K. Pullum thinks you deserve better. In this book he breaks away from the tradition.Presupposing no prior knowledge or technical terms, he provides an informal introduction to the essential concepts underlying grammar and usage. With his foundation, you will be equipped to understand the classification of words, the structure of phrases and clauses, and why some supposed grammar rules are really just myths. Also covered are some of the key points about spelling, apostrophes, hyphens, capitalization, and punctuation.

This book offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects.

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

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

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

Learn How to Better Understand Distributed System Design and Solve Common Problems Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming language, and there are common problems that these implementations need to solve. These problems have common recurring solutions. A patterns approach is very suitable to describe these implementation aspects. Patterns by nature are generic enough to cover a broad range of products from cloud services like Amazon S3 to message brokers like Apache Kafka to infrastructure frameworks like Kubernetes to databases like MongoDB or Actor frameworks like Akka. At the same time the pattern structure is specific enough to be able to show real code. The beauty of this approach is that even if the code structure is shown in one programming language (Java in this case), the structure applies to many other programming

The perfect introduction to poetry, The Poetry Book offers a fascinating exploration of more than 90 of the world's greatest poetic works.Discover poems in all their many guises, from the epics of the ancient world through Renaissance sonnets to modernist masterpieces such as The Waste Land, and the key works of the last 50 years, including And Still I Rise by Maya Angelou and Derek Walcott's Omeros.Using the Big Ideas series' trademark combination of clear explanation, witty infographics, and inspirational quotes, The Poetry Book unlocks the key ideas, themes, imagery, and structural techniques behind even the most complex of poems, in clear and simple terms, setting each work in its historical, social, cultural, and literary context.Dive into the passionate world of poetry to discover:COMPREHENSIVE: Brings together a curated selection of the most celebrated and important poems ever written, majoring on English-language poetryANALYTICAL: Provides critical analysis of form, structure,

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.