Advertisement
| programming languages tucker: Programming Languages Allen B. Tucker, Robert Noonan, 2002 Programming Languages: Principles and Paradigms by Allen Tucker and Robert Noonan is an exciting first edition for the programming languages course. The text covers all of the major design topics and language paradigms in a coherent and modern fashion. Programming Languages: Principles and Paradigms gives a complete, hands-on treatment of principles that uses formal grammar, type system and denotational semantics along with presenting and contrasting the major programming paradigms. The book integrates its coverage of formal semantics into its coverage of major language design topics and programming paradigms with integrated coverage of formal semantics. This integration is, in part, accomplished through the use of a small imperative language, which the authors call Jay. Additionally, this book focuses on one language per paradigm (except for functional programming, where both Scheme and Haskell are used). This allows for a deeper understanding of the language paradigm, rather than a survey of all the languages that are part of it. This book also discusses two modern programming paradigms, event-driven programming and concurrent programming. |
| programming languages tucker: 编程语言 Allen B. Tucker, Robert Noonan, 2009 |
| programming languages tucker: Organization of Programming Languages Bernd Teufel, 2012-12-06 Beside the computers itself, programming languages are the most important tools of a computer scientist, because they allow the formulation of algorithms in a way that a computer can perform the desired actions. Without the availability of (high level) languages it would simply be impossible to solve complex problems by using computers. Therefore, high level programming languages form a central topic in Computer Science. It should be a must for every student of Computer Science to take a course on the organization and structure of programming languages, since the knowledge about the design of the various programming languages as well as the understanding of certain compilation techniques can support the decision to choose the right language for a particular problem or application. This book is about high level programming languages. It deals with all the major aspects of programming languages (including a lot of examples and exercises). Therefore, the book does not give an detailed introduction to a certain program ming language (for this it is referred to the original language reports), but it explains the most important features of certain programming languages using those pro gramming languages to exemplify the problems. The book was outlined for a one session course on programming languages. It can be used both as a teacher's ref erence as well as a student text book. |
| programming languages tucker: Dylan Programming Neal Feinberg, 1997 Dylan is a new programming language invented by Apple Computer and developed with Harlequin and other partners. The language is both object-oriented, like C++ and Java, and dynamic, like Smalltalk. Dylan is designed to deliver applications that run efficiently on a wide range of platforms. It also facilitates the rapid development and incremental refinement of prototype programs. Dylan is a good choice for any application, but you will find it particularly useful for complex object-oriented programs, and for programs that may need to be changed on the fly. Public-domain implementations of Dylan are available for most popular computer systems. Harlequin has developed the first complete, commercial implementation of the language - including both compiler and development environment. Dylan Programming gets you started quickly, with a simple but complete program that lets you experiment with the language. It then leads you progressively through the development of a sample application, illustrating advanced topics such as macros, modules, libraries, inheritance, performance, and exceptions. This book is appropriate for any Dylan implementation. It assumes you can program in a conventional language, but requires no prior knowledge of object-oriented or dynamic techniques.--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved |
| programming languages tucker: Programming Languages: Principles and Practices Hector Nicolson, 2019-06-12 A programming language is a set of instructions that are used to develop programs that use algorithms. Some common examples are Java, C, C++, COBOL, etc. The description of a programming language can be divided into syntax and semantics. The description of data and processes in a language occurs through certain primitive building blocks, which are defined by syntactic and semantic rules. The development of a programming language occurs through the construction of artifacts, chief among which is language specification and implementation. This book elucidates the concepts and innovative models around prospective developments with respect to programming languages. Most of the topics introduced in this book cover the principles and practices of developing programming languages. The textbook is appropriate for those seeking detailed information in this area. |
| programming languages tucker: Behavioral Types in Programming Languages Davide Ancona, Viviana Bono, Mario Bravetti, Giuseppe Castagna, Joana Campos, Pierre-Malo Deniélou, Simon J. Gay, Nils Gesbert, Elena Giachino, Raymond Huan, Einar Broch Johnsen, Francisco Forrest Martin, Viviana Mascardi, Fabrizi Montesi, 2016-05-03 Behavioral Types in Programming Languages provides the reader with the first comprehensive overview of the state of the art on this topic. Each section covers a particular programming paradigm or methodology, providing an ideal reference on the topic and identifying the areas as yet unexplored. |
| programming languages tucker: Programming Languages: Principles and Paradigms Maurizio Gabbrielli, Simone Martini, 2010-03-23 This excellent addition to the UTiCS series of undergraduate textbooks provides a detailed and up to date description of the main principles behind the design and implementation of modern programming languages. Rather than focusing on a specific language, the book identifies the most important principles shared by large classes of languages. To complete this general approach, detailed descriptions of the main programming paradigms, namely imperative, object-oriented, functional and logic are given, analysed in depth and compared. This provides the basis for a critical understanding of most of the programming languages. An historical viewpoint is also included, discussing the evolution of programming languages, and to provide a context for most of the constructs in use today. The book concludes with two chapters which introduce basic notions of syntax, semantics and computability, to provide a completely rounded picture of what constitutes a programming language. /div |
| programming languages tucker: Programming Languages and Systems Peter Müller, 2020-04-17 This open access book constitutes the proceedings of the 29th European Symposium on Programming, ESOP 2020, which was planned to take place in Dublin, Ireland, in April 2020, as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The actual ETAPS 2020 meeting was postponed due to the Corona pandemic. The papers deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems. |
| programming languages tucker: Practical Common Lisp Peter Seibel, 2006-11-01 Lisp is often thought of as an academic language, but it need not be. This is the first book that introduces Lisp as a language for the real world. Practical Common Lisp presents a thorough introduction to Common Lisp, providing you with an overall understanding of the language features and how they work. Over a third of the book is devoted to practical examples, such as the core of a spam filter and a web application for browsing MP3s and streaming them via the Shoutcast protocol to any standard MP3 client software (e.g., iTunes, XMMS, or WinAmp). In other practical chapters, author Peter Seibel demonstrates how to build a simple but flexible in-memory database, how to parse binary files, and how to build a unit test framework in 26 lines of code. |
| programming languages tucker: Client-Centered Software Development Allen B. Tucker, 2019-05-30 Client-Centered Software Development: The CO-FOSS Approach introduces a method to creating a customized software product for a single client, either from scratch or by reusing open source components. The clients are typically non-profit humanitarian, educational, or public service organizations. This approach has been used in undergraduate courses where students learn the principles of software development while implementing a real-world software product. This book provides instructors, students, clients, and professional software developers with detailed guidance for developing a new CO-FOSS product from conceptualization to completion. Features Provides instructors, students, clients, and professional software developers with a roadmap for the development of a new CO-FOSS product from conceptualization to completion Motivates students with real-world projects and community service experiences Teaches all elements of the software process, including requirements gathering, design, collaboration, coding, testing, client communication, refactoring, and writing developer and user documentation Uses source code that can be reused and refitted to suit the needs of future projects, since each CO-FOSS product is free and open source software Provides links to a rich variety of resources for instructors and students to freely use in their own courses that develop new CO-FOSS products for other non-profits. |
| programming languages tucker: Essentials of Programming Languages, third edition Daniel P. Friedman, Mitchell Wand, 2008-04-18 A new edition of a textbook that provides students with a deep, working understanding of the essential concepts of programming languages, completely revised, with significant new material. This book provides students with a deep, working understanding of the essential concepts of programming languages. Most of these essentials relate to the semantics, or meaning, of program elements, and the text uses interpreters (short programs that directly analyze an abstract representation of the program text) to express the semantics of many essential language elements in a way that is both clear and executable. The approach is both analytical and hands-on. The book provides views of programming languages using widely varying levels of abstraction, maintaining a clear connection between the high-level and low-level views. Exercises are a vital part of the text and are scattered throughout; the text explains the key concepts, and the exercises explore alternative designs and other issues. The complete Scheme code for all the interpreters and analyzers in the book can be found online through The MIT Press web site. For this new edition, each chapter has been revised and many new exercises have been added. Significant additions have been made to the text, including completely new chapters on modules and continuation-passing style. Essentials of Programming Languages can be used for both graduate and undergraduate courses, and for continuing education courses for programmers. |
| programming languages tucker: Programming Language Choice Mark Woodman, 1996 When faced with a particular programming task, how do you choose the most suitable programming language? This book identifies the influential factors in judging the suitability of languages, not on theoretical grounds, but by looking at the pragmatic reasons for a particular language choice. It provides descriptions of language choices made in commerce, industry, teaching and research, including established languages such as Ada 83, Modula-2, Smalltalk and C++ as well as new object-oriented languages such as Ada 95, O-O Turing, CooL and Omega. |
| programming languages tucker: Programming Languages Terrence W. Pratt, Marvin V. Zelkowitz, 2001 This describes programming language design by means of the underlying software and hardware architecture that is required for execution of programs written in those languages. |
| programming languages tucker: Programming Languages and Systems Pierpaolo Degano, 2003-03-14 Comparison is a powerful cognitive research tool in science since it does 'across studies' to evaluate similarities and differences, e.g. across taxa or diseases. This book deals with comparative research on plant disease epidemics. Comparisons are done in specifically designed experiments or with posterior analyses. From the apparently unlimited diversity of epidemics of hundreds of diseases, comparative epidemiology may eventually extract a number of basic types. These findings are very important to crop protection. Plant disease epidemiology, being the ecological branch of plant pathology, may also be of value to ecologists, but also epidemiologists in the areas of animal or human diseases may find interesting results, applicable to their areas of research. |
| programming languages tucker: Linear Programs and Related Problems Evar D. Nering, Albert W. Tucker, 1992-11-11 This text is concerned primarily with the theory of linear and nonlinear programming, and a number of closely-related problems, and with algorithms appropriate to those problems. In the first part of the book, the authors introduce the concept of duality which serves as a unifying concept throughout the book. The simplex algorithm is presented along with modifications and adaptations to problems with special structures. Two alternative algorithms, the ellipsoidal algorithm and Karmarker's algorithm, are also discussed, along with numerical considerations. the second part of the book looks at specific types of problems and methods for their solution. This book is designed as a textbook for mathematical programming courses, and each chapter contains numerous exercises and examples. |
| programming languages tucker: Databases and Information Systems II Hele-Mai Haav, Ahto Kalja, 2013-03-09 Databases and database systems in particular, are considered as kerneIs of any Information System (IS). The rapid growth of the web on the Internet has dramatically increased the use of semi-structured data and the need to store and retrieve such data in a database. The database community quickly reacted to these new requirements by providing models for semi-structured data and by integrating database research to XML web services and mobile computing. On the other hand, IS community who never than before faces problems of IS development is seeking for new approaches to IS design. Ontology based approaches are gaining popularity, because of a need for shared conceptualisation by different stakeholders of IS development teams. Many web-based IS would fail without domain ontologies to capture meaning of terms in their web interfaces. This volume contains revised versions of 24 best papers presented at the th 5 International Baltic Conference on Databases and Information Systems (BalticDB&IS'2002). The conference papers present original research results in the novel fields of IS and databases such as web IS, XML and databases, data mining and knowledge management, mobile agents and databases, and UML based IS development methodologies. The book's intended readers are researchers and practitioners who are interested in advanced topics on databases and IS. |
| programming languages tucker: Handbook of Logic in Computer Science: Volume 5. Algebraic and Logical Structures S. Abramsky, Dov M. Gabbay, T. S. E. Maibaum, 2001-01-25 This handbook volume covers fundamental topics of semantics in logic and computation. The chapters (some monographic in length), were written following years of co-ordination and follow a thematic point of view. The volume brings the reader up to front line research, and is indispensable to any serious worker in the areas. |
| programming languages tucker: When You Call My Name Tucker Shaw, 2022-05-03 A CBC Young Adult, Teacher & Librarian Favorites 9th - 12th Grade Selection A Rainbow Book List Top Ten Title for Teen Readers A School Library Journal Best Books of 2022 Selection This is a brilliant affirmation of the power of love on so many levels, with a wide range of appeal. —Booklist, Starred Review In the spirit of the author’s massively popular Twitter thread, Tucker Shaw’s When You Call My Name is a heartrending novel about two gay teens coming of age in New York City in 1990 at the height of the HIV/AIDS epidemic. Named this summer's most powerful LGBTQ+ novel by GAY TIMES, this book is perfect for fans of Adam Silvera and Mary H. K. Choi. Film fanatic Adam is seventeen and being asked out on his first date—and the guy is cute. Heart racing, Adam accepts, quickly falling in love with Callum like the movies always promised. Fashion-obsessed Ben is eighteen and has just left his home upstate after his mother discovers his hidden stash of gay magazines. When he comes to New York City, Ben’s sexuality begins to feel less like a secret and more like a badge of honor. Then Callum disappears, leaving Adam heartbroken, and Ben finds out his new world is more closed-minded than he thought. When Adam finally tracks Callum down, he learns the guy he loves is very ill. And in a chance meeting near the hospital where Callum is being treated, Ben and Adam meet, forever changing each other’s lives. As both begin to open their eyes to the possibilities of queer love and life, they realize sometimes the only people who can help you are the people who can really see you—in all your messy glory. A love letter to New York and the liberating power of queer friendship, When You Call My Name is a hopeful novel about the pivotal moments of our youth that break our hearts and the people who help us put them back together. |
| programming languages tucker: Programming Smalltalk – Object-Orientation from the Beginning Johannes Brauer, 2015-01-23 A straightforward, step-by-step introduction to clear and elegant object-oriented programming. Using a language that's perfect for this kind of programming, the book has been tested in numerous courses and workshops over ten years. Programming Smalltalk is particularly suited for readers with no prior programming knowledge. Starting from the first principles of programming, it teaches you how to use and create algorithms (reusable rules for problem-solving) and the basic building blocks of software. It goes on to explain how to develop complete applications and has a whole chapter on web applications as well as case studies. Now translated into English, this edition was completely revised to be consistent with the latest version of Cincom® VisualWorks®, a professional Smalltalk environment. All examples were created using VisualWorks, which is available without cost for educational purposes, and can be downloaded and installed on any up-to-date computer. |
| programming languages tucker: Programming Languages and Systems Hakjoo Oh, 2021-10-12 This book constitutes the proceedings of the 19th Asian Symposium on Programming Languages and Systems, APLAS 2021, held in Chicago, USA, in October 2021.* The 17 papers presented in this volume were carefully reviewed and selected from 43 submissions. They were organized in topical sections named: analysis and synthesis, compilation and transformation, language, and verification. * The conference was held in a hybrid format due to the COVID-19 pandemic. |
| programming languages tucker: Modern Software Engineering Methodologies for Mobile and Cloud Environments Rosado da Cruz, António Miguel, 2016-01-20 As technology continues to evolve, the popularity of mobile computing has become inherent within today’s society. With the majority of the population using some form of mobile device, it has become increasingly important to develop more efficient cloud platforms. Modern Software Engineering Methodologies for Mobile and Cloud Environments investigates emergent trends and research on innovative software platforms in mobile and cloud computing. Featuring state-of-the-art software engineering methods, as well as new techniques being utilized in the field, this book is a pivotal reference source for professionals, researchers, practitioners, and students interested in mobile and cloud environments. |
| programming languages tucker: Comprehensive Ruby Programming Jordan Hudgens, 2017-06-30 This book will provide you with all of the tools you need to be a professional Ruby developer. Starting with the core principles, such as syntax and best practices, and up to advanced topics like metaprogramming and big data analysis. About This Book Provides the core skills required to become a Ruby programmer Covers how to use the most popular Ruby Gem libraries Includes details on regular expressions Who This Book Is For This is a complete course written from the ground up for beginners wanting to gain a solid understanding of the Ruby language. It starts at the beginning with how to install Ruby and work with it on multiple machines, so simply have a computer that's connected to the Internet and you'll be ready. What You Will Learn Learn how to use Ruby code effectively, picking the right tool for the job and not duplicating built-in functionality Gain best software development practices, and how to identify and fix common errors Absorb core programming skills, such as variables, strings, loops, conditionals, and much more Explore object-oriented programming and learn to create modular, reusable code that you can use across projects Build 10 practical Ruby programs as you work through the book on topics such as big data analysis and solving Euler equations In Detail Ruby is a powerful, general-purpose programming language that can be applied to any task. Whether you are an experienced developer who wants to learn a new language or you are new to programming, this book is your comprehensive Ruby coding guide. Starting with the foundational principles, such as syntax, and scaling up to advanced topics such as big data analysis, this book will give you all of the tools you need to be a professional Ruby developer. A few of the key topics are: object-oriented programming, built-in Ruby methods, core programming skills, and an introduction to the Ruby on Rails and Sinatra web frameworks. You will also build 10 practical Ruby programs. Created by an experienced Ruby developer, this book has been written to ensure it focuses on the skills you will need to be a professional Ruby developer. After you have read this book, you will be ready to start building real-world Ruby projects. Style and approach This is a comprehensive course for learning the Ruby programming language that works methodically through everything that you need to know. It begins with the basics of the language and then works through some complete projects to apply your skills and ensure that you have fully absorbed them and can use them in the real world. |
| programming languages tucker: Programming Languages and Systems Viktor Vafeiadis, 2025-04-30 The open access book set LNCS 15694 + LNCS 15695 constitutes the proceedings of the 34th European Symposium on Programming, ESOP 2025, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025, in Hamilton, Canada, during May 3-8, 2025. The 30 full papers included in the proceedings were carefully reviewed and selected from a total of 88 submissions. The proceedings also contain two short artifact reports. The papers focus on aspects of programming language research such as programming paradigns and styles; methods and tools to specify and reason about programs and languages; programming language foundations; methods and tools for implementation, concurrency and districution; and applications and emerging topics. |
| programming languages tucker: Programming Languages Allen B. Tucker, 1977 |
| programming languages tucker: Programming Languages: Principles and Paradigms Maurizio Gabbrielli, Simone Martini, 2023-10-14 This textbook is a thorough, up-to-date introduction to the principles and techniques that guide the design and implementation of modern programming languages. The goal of the book is to provide the basis for a critical understanding of most modern programming languages. Thus, rather than focusing on a specific language, the book identifies the most important principles shared by large classes of languages. The notion of ‘abstract machine’ is a unifying concept that helps to maintain an accurate and elementary treatment. The book introduces, analyses in depth, and compares the imperative, object-oriented, functional, logic, concurrent, constraint-based, and service-oriented programming paradigms. All material coming from the first English edition has been updated and extended, clarifying some tricky points, and discussing newer programming languages. This second edition contains new chapters dedicated to constraint, concurrent, and service-oriented programming. Topics and features: Requires familiarity with one programming language is a prerequisite Provides a chapter on history offering context for most of the constructs in use today Presents an elementary account of semantical approaches and of computability Introduces new examples in modern programming languages like Python or Scala Offers a chapter that opens a perspective on applications in artificial intelligence Conceived as a university textbook, this unique volume will also be suitable for IT specialists who want to deepen their knowledge of the mechanisms behind the languages they use. The choice of themes and the presentation style are largely influenced by the experience of teaching the content as part of a bachelor's degree in computer science. |
| programming languages tucker: Programming Languages Norman Ramsey, 2022-10-27 Teaches students about great programming-language ideas and how to use them in programming practice. |
| programming languages tucker: Programming Language Explorations Ray Toal, Sage Strieker, Marco Berardini, 2024-08-06 Programming Language Explorations helps its readers gain proficiency in programming language practice and theory by presenting both example-focused, chapter-length explorations of fourteen important programming languages and detailed discussions of the major concepts transcending multiple languages. A language-by-language approach is sandwiched between an introductory chapter that motivates and lays out the major concepts of the field and a final chapter that brings together all that was learned in the middle chapters into a coherent and organized view of the field. Each of the featured languages in the middle chapters is introduced with a common trio of example programs and followed by a tour of its basic language features and coverage of interesting aspects from its type system, functional forms, scoping rules, concurrency patterns, and metaprogramming facilities. These chapters are followed by a brief tour of over 40 additional languages designed to enhance the reader’s appreciation of the breadth of the programming language landscape and to motivate further study. Targeted to both professionals and advanced college undergraduates looking to expand the range of languages and programming patterns they can apply in their work and studies, the book pays attention to modern programming practices, keeps a focus on cutting-edge programming patterns, and provides many runnable examples, all of which are available in the book’s companion GitHub repository. The combination of conceptual overviews with exploratory example-focused coverage of individual programming languages provides its readers with the foundation for more effectively authoring programs, prompting AI programming assistants, and, perhaps most importantly, learning—and creating—new languages. |
| programming languages tucker: A Guide to Programming Languages Ruknet Cezzar, 1995 This reference is intended for experienced practitioners, consultants and students working on building practical applications. It discusses the most widely-used programming languages and their fuctional pros and cons for application and development. The author provides: a brief overview of programming languages principles and concepts; numerous diagrams, charts and sample programs; coverage of object-oriented programming and visual programming; and tables rating languages on such subjects as simplicity, data structuring, portability and efficiency. |
| programming languages tucker: Programming Languages: Concepts and Implementation Saverio Perugini, 2021-12-02 Programming Languages: Concepts and Implementation teaches language concepts from two complementary perspectives: implementation and paradigms. It covers the implementation of concepts through the incremental construction of a progressive series of interpreters in Python, and Racket Scheme, for purposes of its combined simplicity and power, and assessing the differences in the resulting languages. |
| programming languages tucker: The Computer Boys Take Over Nathan L. Ensmenger, 2012-08-24 The contentious history of the computer programmers who developed the software that made the computer revolution possible. This is a book about the computer revolution of the mid-twentieth century and the people who made it possible. Unlike most histories of computing, it is not a book about machines, inventors, or entrepreneurs. Instead, it tells the story of the vast but largely anonymous legions of computer specialists—programmers, systems analysts, and other software developers—who transformed the electronic computer from a scientific curiosity into the defining technology of the modern era. As the systems that they built became increasingly powerful and ubiquitous, these specialists became the focus of a series of critiques of the social and organizational impact of electronic computing. To many of their contemporaries, it seemed the “computer boys” were taking over, not just in the corporate setting, but also in government, politics, and society in general. In The Computer Boys Take Over, Nathan Ensmenger traces the rise to power of the computer expert in modern American society. His rich and nuanced portrayal of the men and women (a surprising number of the “computer boys” were, in fact, female) who built their careers around the novel technology of electronic computing explores issues of power, identity, and expertise that have only become more significant in our increasingly computerized society. In his recasting of the drama of the computer revolution through the eyes of its principle revolutionaries, Ensmenger reminds us that the computerization of modern society was not an inevitable process driven by impersonal technological or economic imperatives, but was rather a creative, contentious, and above all, fundamentally human development. |
| programming languages tucker: All About Maude - A High-Performance Logical Framework Manuel Clavel, Francisco Durán, Steven Eker, Patrick Lincoln, Narciso Martí-Oliet, José Meseguer, Carolyn Talcott, 2007-07-19 Maude is a language and system based on rewriting logic. In this comprehensive account, you’ll discover how Maude and its formal tool environment can be used in three mutually reinforcing ways: as a declarative programming language, as an executable formal specification language, and as a formal verification system. Examples used throughout the book illustrate key concepts, features, and the many practical uses of Maude. |
| programming languages tucker: The Computer Science and Engineering Handbook Allen B. Jr. Tucker, 1996-12-21 The Computer Science and Engineering Handbook characterizes the state of theory and practice in the field. In this single volume you can find quick answers to the questions that affect your work every day. More than 110 chapters describe fundamental principles, best practices, research horizons, and their impact upon the professions and society. Glossaries of key terms, references, and sources for further information provide complete information on every topic. The chapters are grouped into sections on algorithms and data structures, architecture, artificial intelligence, computational science, database and information retrieval, graphics, human-computer interaction, operating systems and networks, programming languages and software engineering. Each section is packed with discussions of current issues, the social impact of computing as it affects security, privacy, professionalism, the way we communicate, and case studies of high impact applications. |
| programming languages tucker: Comparative Programming Languages Leslie B. Wilson, Robert George Clark, 1993 A text for a comparative language course (as well as for practicing computer programmers), considering the principal programming language concepts and showing how they are dealt with in traditional imperative languages, such as Pascal, C, and Ada, in functional languages such as ML, in logic languages like PROLOG, in purely object-oriented language. |
| programming languages tucker: Machine Learning with R, the tidyverse, and mlr Hefin I. Rhys, 2020-03-31 Summary Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming language put high-quality data analysis in the hands of any programmer. Machine Learning with R, the tidyverse, and mlr teaches you widely used ML techniques and how to apply them to your own datasets using the R programming language and its powerful ecosystem of tools. This book will get you started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Machine Learning with R, the tidyverse, and mlr gets you started in machine learning using R Studio and the awesome mlr machine learning package. This practical guide simplifies theory and avoids needlessly complicated statistics or math. All core ML techniques are clearly explained through graphics and easy-to-grasp examples. In each engaging chapter, you’ll put a new algorithm into action to solve a quirky predictive analysis problem, including Titanic survival odds, spam email filtering, and poisoned wine investigation. What's inside Using the tidyverse packages to process and plot your data Techniques for supervised and unsupervised learning Classification, regression, dimension reduction, and clustering algorithms Statistics primer to fill gaps in your knowledge About the reader For newcomers to machine learning with basic skills in R. About the author Hefin I. Rhys is a senior laboratory research scientist at the Francis Crick Institute. He runs his own YouTube channel of screencast tutorials for R and RStudio. Table of contents: PART 1 - INTRODUCTION 1.Introduction to machine learning 2. Tidying, manipulating, and plotting data with the tidyverse PART 2 - CLASSIFICATION 3. Classifying based on similarities with k-nearest neighbors 4. Classifying based on odds with logistic regression 5. Classifying by maximizing separation with discriminant analysis 6. Classifying with naive Bayes and support vector machines 7. Classifying with decision trees 8. Improving decision trees with random forests and boosting PART 3 - REGRESSION 9. Linear regression 10. Nonlinear regression with generalized additive models 11. Preventing overfitting with ridge regression, LASSO, and elastic net 12. Regression with kNN, random forest, and XGBoost PART 4 - DIMENSION REDUCTION 13. Maximizing variance with principal component analysis 14. Maximizing similarity with t-SNE and UMAP 15. Self-organizing maps and locally linear embedding PART 5 - CLUSTERING 16. Clustering by finding centers with k-means 17. Hierarchical clustering 18. Clustering based on density: DBSCAN and OPTICS 19. Clustering based on distributions with mixture modeling 20. Final notes and further reading |
| programming languages tucker: The Programmer's Brain Felienne Hermans, 2021-10-05 A great book with deep insights into the bridge between programming and the human mind. - Mike Taylor, CGI Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code. In The Programmer’s Brain: What every programmer needs to know about cognition you will learn: Fast and effective ways to master new programming languages Speed reading skills to quickly comprehend new code Techniques to unravel the meaning of complex code Ways to learn new syntax and keep it memorized Writing code that is easy for others to read Picking the right names for your variables Making your codebase more understandable to newcomers Onboarding new developers to your team Learn how to optimize your brain’s natural cognitive processes to read code more easily, write code faster, and pick up new languages in much less time. This book will help you through the confusion you feel when faced with strange and complex code, and explain a codebase in ways that can make a new team member productive in days! Foreword by Jon Skeet. About the technology Take advantage of your brain’s natural processes to be a better programmer. Techniques based in cognitive science make it possible to learn new languages faster, improve productivity, reduce the need for code rewrites, and more. This unique book will help you achieve these gains. About the book The Programmer’s Brain unlocks the way we think about code. It offers scientifically sound techniques that can radically improve the way you master new technology, comprehend code, and memorize syntax. You’ll learn how to benefit from productive struggle and turn confusion into a learning tool. Along the way, you’ll discover how to create study resources as you become an expert at teaching yourself and bringing new colleagues up to speed. What's inside Understand how your brain sees code Speed reading skills to learn code quickly Techniques to unravel complex code Tips for making codebases understandable About the reader For programmers who have experience working in more than one language. About the author Dr. Felienne Hermans is an associate professor at Leiden University in the Netherlands. She has spent the last decade researching programming, how to learn and how to teach it. Table of Contents PART 1 ON READING CODE BETTER 1 Decoding your confusion while coding 2 Speed reading for code 3 How to learn programming syntax quickly 4 How to read complex code PART 2 ON THINKING ABOUT CODE 5 Reaching a deeper understanding of code 6 Getting better at solving programming problems 7 Misconceptions: Bugs in thinking PART 3 ON WRITING BETTER CODE 8 How to get better at naming things 9 Avoiding bad code and cognitive load: Two frameworks 10 Getting better at solving complex problems PART 4 ON COLLABORATING ON CODE 11 The act of writing code 12 Designing and improving larger systems 13 How to onboard new developers |
| programming languages tucker: High Integrity Ada John Gilbert Presslie Barnes, 1997 This pack introduces the SPARK language and its associated tools and teaches the principles of writing safety-critical software using SPARK, a subset of the Ada 95 language. SPARK was specifically developed to serve industries developing high-integrity, safety-critical software with a language and associated toolset which increase the likelihood of the program behaving as intended. |
| programming languages tucker: Theories of Programming Languages John C. Reynolds, 1998-10-13 First published in 1998, this textbook is a broad but rigourous survey of the theoretical basis for the design, definition and implementation of programming languages and of systems for specifying and proving programme behaviour. Both imperative and functional programming are covered, as well as the ways of integrating these aspects into more general languages. Recognising a unity of technique beneath the diversity of research in programming languages, the author presents an integrated treatment of the basic principles of the subject. He identifies the relatively small number of concepts, such as compositional semantics, binding structure, domains, transition systems and inference rules, that serve as the foundation of the field. Assuming only knowledge of elementary programming and mathematics, this text is perfect for advanced undergraduate and beginning graduate courses in programming language theory and also will appeal to researchers and professionals in designing or implementing computer languages. |
| programming languages tucker: Instruction and Technology Brad Mehlenbacher, 2010 Mehlenbacher unpacks the complex relationships between instruction and technology while emerging as a sensitive guide to the frequently confusing and disparate landscapes of learning with technology.--Karen Schriver, President, KSA Communication Design & Research. |
| programming languages tucker: An Introduction to Linear Programming and Game Theory Paul R. Thie, Gerard E. Keough, 2011-09-15 Praise for the Second Edition: This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, and applications. —Mathematical Reviews of the American Mathematical Society An Introduction to Linear Programming and Game Theory, Third Edition presents a rigorous, yet accessible, introduction to the theoretical concepts and computational techniques of linear programming and game theory. Now with more extensive modeling exercises and detailed integer programming examples, this book uniquely illustrates how mathematics can be used in real-world applications in the social, life, and managerial sciences, providing readers with the opportunity to develop and apply their analytical abilities when solving realistic problems. This Third Edition addresses various new topics and improvements in the field of mathematical programming, and it also presents two software programs, LP Assistant and the Solver add-in for Microsoft Office Excel, for solving linear programming problems. LP Assistant, developed by coauthor Gerard Keough, allows readers to perform the basic steps of the algorithms provided in the book and is freely available via the book's related Web site. The use of the sensitivity analysis report and integer programming algorithm from the Solver add-in for Microsoft Office Excel is introduced so readers can solve the book's linear and integer programming problems. A detailed appendix contains instructions for the use of both applications. Additional features of the Third Edition include: A discussion of sensitivity analysis for the two-variable problem, along with new examples demonstrating integer programming, non-linear programming, and make vs. buy models Revised proofs and a discussion on the relevance and solution of the dual problem A section on developing an example in Data Envelopment Analysis An outline of the proof of John Nash's theorem on the existence of equilibrium strategy pairs for non-cooperative, non-zero-sum games Providing a complete mathematical development of all presented concepts and examples, Introduction to Linear Programming and Game Theory, Third Edition is an ideal text for linear programming and mathematical modeling courses at the upper-undergraduate and graduate levels. It also serves as a valuable reference for professionals who use game theory in business, economics, and management science. |
| programming languages tucker: Intelligence Science II Zhongzhi Shi, Cyriel Pennartz, Tiejun Huang, 2018-10-24 This book constitutes the refereed proceedings of the Third International Conference on Intelligence Science, ICIS 2018, held in Beijing China, in November 2018. The 44 full papers and 5 short papers presented were carefully reviewed and selected from 85 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: brain cognition; machine learning; data intelligence; language cognition; perceptual intelligence; intelligent robots; fault diagnosis; and ethics of artificial intelligence. |
Computer programming - Wiki…
Computer programming or coding is the composition of sequences of instructions, …
Programiz: Learn to Code for Free
Learn to code in Python, C/C++, Java, and other popular programming …
What is Programming? And H…
Programming has evolved from punch cards with rows of numbers that a machine …
Programming Tutorial | Introduction, Basic C…
Dec 12, 2023 · This comprehensive guide of Programming Tutorial or …
What Is Programming? And H…
Jan 28, 2025 · Programming is a skill that can help you create new projects or start a new …
Computer programming - Wikipedia
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and …
Programiz: Learn to Code for Free
Learn to code in Python, C/C++, Java, and other popular programming languages with our easy to follow tutorials, examples, online compiler and references.
What is Programming? And How to Get Started - Codecademy
Programming has evolved from punch cards with rows of numbers that a machine read, to drag-and-drop interfaces that increase programming speed, with lots of other methods in between. …
Programming Tutorial | Introduction, Basic Concepts, Getting ...
Dec 12, 2023 · This comprehensive guide of Programming Tutorial or Coding Tutorial provides an introduction to programming, covering basic concepts, setting up your development …
What Is Programming? And How To Get Started - Coursera
Jan 28, 2025 · Programming is a skill that can help you create new projects or start a new career. Taking online courses can be a great way to build programming skills and explore what’s …
