Clojure Programming

KEY BENEFIT: Updated and current, this book provides a comprehensive view of programming and interfacing of the Intel family of microprocessors from the 8088 through the latest Pentium 4 microprocesso

If you are new to C++ programming, C++ Primer Plus, Fifth Edition is a friendly and easy-to-use self-study guide. You will cover the latest and most useful language enhancements, the Standard Template

In a text focusing on realistic computer-generated images using OpenGL, a set of graphics programming tools operating across computer platforms, McConnell (Canisius College) introduces the terminology

Created by world-renowned programming instructors Paul and Harvey Deitel, Visual Basic 2010 How to Program, Fifth Edition introduces all facets of the Visual Basic 2010 language through a hands-on app

For a wide variety of Web Programming, XHTML, and JavaScript courses found in Computer Science, CIS, MIS, IT, Business, Engineering, and Continuing Education departments.Internet and World Wide Web Ho

Android How to Program, Second Edition provides a clear and entertaining App-driven introduction to Android 4.3 development for both introductory- and intermediate-level programming courses. The Deite

Created by world-renowned programming instructors Paul and Harvey Deitel, Visual C# 2010 How to Program, Fourth Edition introduces all facets of the C# 2010 language hands-on, through hundreds of work

1.Covers not only AI theory, but modern applications e.g., game programming, machine learning, swarming, artificial immune systems, genetic algorithms, pattern recognition, numerical optimization, dat

Practical strategies to improve school climate and well-being for allSchool counselors often shoulder the weight of social emotional learning (SEL) at a time when students are experiencing increased mental health challenges, including loneliness, depression, and trauma, leaving them vulnerable to burnout. With contributions from a team of educational experts, this practical and timely guide presents a user-friendly framework that integrates adaptive strategies to meet real-time needs, balanced approaches to distribute workloads effectively, and collaborative solutions that elevate the voices of students and the school community. Inside, you will find:Actionable insights to foster culturally responsive programming while driving systemic changePractical solutions for addressing real-world implementation challenges tailored to diverse school communitiesDownloadable templates, talking points for encouraging dialogue, and team-based professional development activitiesGuidance for fostering

THE WARRIOR ANGEL OF ST. DUMAS RETURNS!Jean-Paul Valley does not want to be Azrael ever again. All it has brought him is pain, violence, and misery. He has sequestered himself away at a monastery in Europe to find peace. But when a young woman who claims to have the same System programming that made Jean-Paul into Azrael arrives at the monastery, he won’t have a choice but to don his violent mantle of Azrael once more to protect her from the deadly assassins who wish her harm.From the rising star creative team ofDan Watters(Arkham City: The Order of the World,Lucifer) andNikola Cižmešija(Batman: Urban Legends,Future State: Gotham) this collection redefines one of the Batman world’s most iconic and fierce characters!

本書是被譽為UNIX程式設計“聖經”的Advanced Programming in the UNIX Environment一書的第3版。在本書第2版出版後的8年中，UNIX發生了巨大的變化，特別是影響UNIX程式設計介面的有關標準變化很大。本書在保持前一版風格的基礎上，根據新的標準對內容進行了修訂和增補，反映了新的技術發展。書中除了介紹UNIX檔和目錄、標準I/O庫、系統資料檔案和資訊、進程環

Meet 46 engineers who are changing our world. Find out what makes them tick and how they create awe-inspiring technologies to improve our lives.Engineers are the superheroes of the real world. They use their problem-solving skills to face down the biggest challenges we have, from creating clean energy to designing prosthetic limbs, from eliminating food shortages to programming AI to exploring the surface of Mars. In this book you’ll meet 46 engineers, from apprentices and lab technicians to university professors and start-up CEOs and hear what problems they are solving and why they love their jobs. Engineers are changing the world. Will you be one of them?

When a machine boy falls to earth, his heart is awoken for the first time. As he learns to be human, he struggles to override his own programming and become a hero, from rising stars Tri Vuong and Irma Kniivila. It's a bird, it's a plane, it's... Machine Boy! When Machine Boy falls from the sky into the domed city of Mega 416, he leaves a wake of destruction in his path... until Karate Grandpa is able to turn on his heart. Now, Machine Boy wants nothing more than to become a hero! Whether he is fighting giant bugs in the school's basement, rescuing cats from trees, or making the perfect spaghetti sauce, Machine Boy is always looking for the best way to help others. But when his heart begins to interact dangerously with other debris from space, Machine Boy wonders if he can be a power for good after all. Rising stars Tri Vuong and Irma Kniivila create a funny and engaging all-ages adventure that asks-can you override your own programming?

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

Deep brain stimulation (DBS) is now a firmly established treatment for movement disorders, and an increasing body of evidence supports DBS in the treatment of other neurological and psychiatric disorders. This essential reference guide outlines a practical approach to the use of this paradigm-shifting therapy and covers key aspects of DBS practice. Chapters describe how to implement a DBS program and select appropriate patients, device programming to achieve optimal symptom control, and long-term management of patients. Thoroughly revised, this third edition includes additional chapters on managing patients with emerging applications of DBS. An entire chapter is dedicated to troubleshooting common problems with the therapy as many 'failures' are preventable and addressable. With contributions from experts in the field, this is a must-have reference guide for any clinician working with DBS patients.

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

This innovative book models pollution mitigation as a negative externality whilst also providing desirable and useful solutions, such as establishing the triangular equivalence relationship among the Lindahl equilibrium without transfers, the Nash bargaining solution with the payoffs of the Cournot-Nash equilibrium as the status quo point, and the social optimum under the Lindahl weights. By introducing programming algorithms to validate these relationships numerically, Zili Yang bridges the gap between analytical results and empirical modelling, ultimately solving the Lindahl equilibrium and hybrid Nash equilibria in the influential RICE model. This text demonstrates the complexity and variety of environment externality problems, ranging from mixed externality to correlated externalities to environmental externality under IRS and policy applications. Integrating theory, algorithms and applications in a comprehensive framework, The Environment and Externality will benefit scholars and

This innovative book models pollution mitigation as a negative externality whilst also providing desirable and useful solutions, such as establishing the triangular equivalence relationship among the Lindahl equilibrium without transfers, the Nash bargaining solution with the payoffs of the Cournot-Nash equilibrium as the status quo point, and the social optimum under the Lindahl weights. By introducing programming algorithms to validate these relationships numerically, Zili Yang bridges the gap between analytical results and empirical modelling, ultimately solving the Lindahl equilibrium and hybrid Nash equilibria in the influential RICE model. This text demonstrates the complexity and variety of environment externality problems, ranging from mixed externality to correlated externalities to environmental externality under IRS and policy applications. Integrating theory, algorithms and applications in a comprehensive framework, The Environment and Externality will benefit scholars and

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

Prioritising the practical over the technical, Modern Systems Analysis and Design presents the concepts, skills, methodologies, techniques, tools, and perspectives essential for systems analysts to develop information systems. The authors assume students have taken an introductory course on computer systems and have experience designing programs in at least one programming language. By drawing on the systems development life cycle, the authors provide a conceptual and systematic framework while progressing through topics logically. The 9th edition has been completely revised to adapt to the changing environment for systems development, with a renewed focus on agile methodologies.

有效製作軟體文件 “真希望這本書20年前就出版，可以省下我很多時間” -Woody Zuill, Agile Guide與Mob Programming先驅 運用領域驅動設計(Domain-Driven Design)方法建立文件檔，於軟體開發生命週期中創造最大價值 軟體文件可以生動、動態，並在實質上幫助你創建出更好的軟體。本書為開發者、架構設計師和軟體專業工作者而寫，展示如何在設計與開發過程中建

The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including:A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoTA blend of theoretical and simulation-based problems for better understanding of the concepts behind WoTVarious exemplifying applications in which the use of WoT is very attractive and an inspiration for future applicationsThe book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.

The tenth edition of Operating System Concepts has been revised to keep it fresh and up-to-date with contemporary examples of how operating systems function, and to improve learning and the student's experience with the material. It combines instruction on concepts with real-world applications so that students can understand the practical usage of the content. End-of-chapter practice exercises help to further reinforce important concepts.Each chapter also includes homework exercises and additional suggested readings on core topics. The text provides several example programs written in C and Java for use in several programming environments and a Linux Virtual Machine that can be run on Windows 10, Linux, or macOS.

Python is today's fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader's hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use.

Organizations and businesses strive toward excellence, and solutions to problems are based mostly on judgment and experience. However, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers, and then interpreted. Revised and expanded in its third edition, this textbook integrates theory, modeling, development of numerical methods, and problem solving, thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multi-objective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate cours

《UNIX Linux OS X中的Shell編程 第4版》是經典圖書Unix Shell Programming時隔15年之後的全新升級版本，全面講解了如何在POSIX標準Shell環境中開發程序，以充分發揮UNIX和類UNIX操作系統的潛在功能。 《UNIX Linux OS X中的Shell編程 第4版》共分為14章，其內容涵蓋了Linux/UNIX的基礎知識，Shell的概念、工作原理和運

This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It looks at efficient ways to realise query and update operations on sets of numbers, intervals, or strings by various data structures, including: search trees; structures for sets of intervals or piece-wise constant functions; orthogonal range search structures; heaps; union-find structures; dynamization and persistence of structures; structures for strings; and hash tables. Instead of relegating data structures to trivial material used to illustrate object-oriented programming methodology, this is the first volume to show data structures as a crucial algorithmic topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

產品特色： 內容包含MTA Python程式語言核心能力國際認證（MTA 98-381 Introduction to Programming Using Python）考試重點的出題方向：變數與資料型態、運算式與運算子、流程控制與迴圈、字元與字串、容器資料型別、函數、模組與工具的操作、疑難排解和錯誤處理、檔案輸入與輸出等。

附贈PMI-ACP模擬考題 “結合實務的完美建議，內容含括Scrum、Extreme Programming、Kanban。《深入淺出Agile》能幫助每個人打造頂尖敏捷團隊”。-Mike Cohn《Succeeding with Agile》《Agile Estimating and Planning》《User Stories Applied》等書籍作者 “市面上高品質的書很稀少，這本書更是珍

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorith

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorith

Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.

Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.