Programming

Discover the powerful ESP8266 and ESP32 microcontrollers and their Wi-Fi communication. The ESP32 microcontroller features Bluetooth and BLE communication in addition to Wi-Fi. The book emphasizes practical projects and readers are guided through Wi-Fi and Bluetooth communication, mobile app design and build, ESP-NOW and LoRa communication, and signal generation.Projects throughout the book utilize the Wi-Fi functionality and processing power of the ESP microcontrollers. Projects are built in the Arduino IDE, so you don't need to download other programming software. Mobile apps are now ubiquitous, making the app build projects of the book very relevant, as are the web page design projects.In Electronics Projects with the ESP8266 and ESP32, you'll see how easy and practical it is to access information over the internet, develop web pages, build mobile apps to remotely control devices with speech recognition or incorporate Google Maps in a GPS route tracking app.You will- Build practical

Matrix positivity is a central topic in matrix theory: properties that generalize the notion of positivity to matrices arose from a large variety of applications, and many have also taken on notable theoretical significance, either because they are natural or unifying. This is the first book to provide a comprehensive and up-to-date reference of important material on matrix positivity classes, their properties, and their relations. The matrix classes emphasized in this book include the classes of semipositive matrices, P-matrices, inverse M-matrices, and copositive matrices. This self-contained reference will be useful to a large variety of mathematicians, engineers, and social scientists, as well as graduate students. The generalizations of positivity and the connections observed provide a unique perspective, along with theoretical insight into applications and future challenges. Direct applications can be found in data analysis, differential equations, mathematical programming, compu

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

CBC and NSTA's Best STEM Books Pick for 2022Explore artificial intelligence—the programming that teaches computers to be brainy—in this “enjoyable, upbeat series” (Booklist).Did you know that you can teach a robot to play soccer? Or that you can ride in a car driven by a computer? Discover how AI learns and grows, as well as how it identifies objects by recognizing differences and similarities!Ignite your scientific mind with fun facts, activities, and experiments. Try this: Hum “Twinkle, Twinkle Little Star,” “Baa, Baa, Black Sheep,” and the ABCs. Do you notice any similarities? Soon you’ll be thinking just like an AI program!This STEM-driven series helps beginning scientists and engineers grasp big scientific ideas with:Intriguing info to fill and thrill your brain.Hands-on activities to jumpstart your imagination.Great photos to help you get the bigger picture.New ideas sure to change the way you see the world.From Starry Forest Books,STEAM & Me™uses science, technology, enginee

This book is devoted to five main principles of algorithm design: divide and conquer, greedy algorithms, thinning, dynamic programming, and exhaustive search. These principles are presented using Haskell, a purely functional language, leading to simpler explanations and shorter programs than would be obtained with imperative languages. Carefully selected examples, both new and standard, reveal the commonalities and highlight the differences between algorithms. The algorithm developments use equational reasoning where applicable, clarifying the applicability conditions and correctness arguments. Every chapter concludes with exercises (nearly 300 in total), each with complete answers, allowing the reader to consolidate their understanding and apply the techniques to a range of problems. The book serves students (both undergraduate and postgraduate), researchers, teachers, and professionals who want to know more about what goes into a good algorithm and how such algorithms can be expresse

概率邏輯程序是在邏輯程序的基礎上增加對不確定性信息的表示。概率邏輯程序是以下兩個用途廣泛的領域交叉形成的：邏輯和概率的統一、概率程序。邏輯用於表示實體之間的複雜關係，而概率論對構建屬性和關係的不確定性模型有幫助。統一兩個理論是一個非常活躍的研究領域。概率邏輯程序與帶知識表示能力的邏輯語言和帶計算能力的圖靈複雜語言類似，因此，它是兩種語言的*佳組合。由於概率邏輯程序的出現，越來越多的研究著開始關注它

Building upon the success of the first edition, Statistics Using Stata uses the latest version of Stata to meet the needs of today's students. Engaging and accessible for students from a variety of mathematical backgrounds, this textbook integrates statistical concepts with the Stata (version 16) software package. It aligns Stata commands with examples based on real data, enabling students to understand statistics in a way that reflects statistical practice. Capitalizing on Stata's menu-driven 'point and click' and program syntax interface, the chapters guide students from the comfortable 'point and click' environment to the beginnings of statistical programming. Its coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare for future work. Online resources - including solutions to exercises, PowerPoint slides, and Stata syntax (do-files) for each chapter - allow students to review independently and ad

Finite-state methods are the most efficient mechanisms for analysing textual and symbolic data, providing elegant solutions for an immense number of practical problems in computational linguistics and computer science. This book for graduate students and researchers gives a complete coverage of the field, starting from a conceptual introduction and building to advanced topics and applications. The central finite-state technologies are introduced with mathematical rigour, ranging from simple finite-state automata to transducers and bimachines as 'input-output' devices. Special attention is given to the rich possibilities of simplifying, transforming and combining finite-state devices. All algorithms presented are accompanied by full correctness proofs and executable source code in a new programming language, C(M), which focuses on transparency of steps and simplicity of code. Thus, by enabling readers to obtain a deep formal understanding of the subject and to put finite-state methods t

本書總共分為七個大項目：項目一離線編程基礎認知，項目二離線編程基本仿真工作站搭建，項目三軌跡示教與仿真，項目四複雜軌跡的離線編程與仿真，項目五軌跡代碼後置處理，項目六基於機器人變位機的軌跡生成，項目七生產線的搭建、編程與仿真。其中項目一至項目五為本書的基本模塊，系統闡述了離線編程的基本知識及其應用于工業機器人編程的具體步驟；項目六以“工業機器人焊接”為案例講解了工業機器人結合變位機的編程技術，系統

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making i

Methods and perspectives to model and measure productivity and efficiency have made a number of important advances in the last decade. Using the standard and innovative formulations of the theory and practice of efficiency and productivity measurement, Robin C. Sickles and Valentin Zelenyuk provide a comprehensive approach to productivity and efficiency analysis, covering its theoretical underpinnings and its empirical implementation, paying particular attention to the implications of neoclassical economic theory. A distinct feature of the book is that it presents a wide array of theoretical and empirical methods utilized by researchers and practitioners who study productivity issues. An accompanying website includes methods, programming codes that can be used with widely available software like MATLAB® and R, and test data for many of the productivity and efficiency estimators discussed in the book. It will be valuable to upper-level undergraduates, graduate students, and professional

Methods and perspectives to model and measure productivity and efficiency have made a number of important advances in the last decade. Using the standard and innovative formulations of the theory and practice of efficiency and productivity measurement, Robin C. Sickles and Valentin Zelenyuk provide a comprehensive approach to productivity and efficiency analysis, covering its theoretical underpinnings and its empirical implementation, paying particular attention to the implications of neoclassical economic theory. A distinct feature of the book is that it presents a wide array of theoretical and empirical methods utilized by researchers and practitioners who study productivity issues. An accompanying website includes methods, programming codes that can be used with widely available software like MATLAB® and R, and test data for many of the productivity and efficiency estimators discussed in the book. It will be valuable to upper-level undergraduates, graduate students, and professional

Key FeaturesGetting to know the all new powerful EPS32 boards and build interesting Internet of Things projectsConfigure your ESP32 to the cloud technologies and explore the networkable modules that will be utilised in your IoT projectsA step-by-step guide that teaches you the basic to advanced IoT concepts with ESP32Book DescriptionESP32 is a low-cost MCU with integrated Wi-Fi and BLE. Various modules and development boards-based on ESP32 are available for building IoT applications easily. Wi-Fi and BLE are a common network stack in the Internet of Things application. These network modules can leverage your business and projects needs for cost-effective benefits.This book will serve as a fundamental guide for developing an ESP32 program. We will start with GPIO programming involving some sensor devices. Then we will study ESP32 development by building a number of IoT projects, such as weather stations, sensor loggers, smart homes, Wi-Fi cams and Wi-Fi wardriving. Lastly, we will enabl

Read the complete Secret Coders saga from start to finish!Meet Hopper, Eni, and Josh as they write their first line of code, and join them for their final showdown with Professor One Zero. This deluxe boxed set collects all six volumes of the action-packed graphic novel series by New York Times–bestselling author Gene Luen Yang, plus a set of six collectable character cut-outs of your favorite Secret Coders characters!Secret Coders: The Complete Boxed Set includes 6 titles belowSecret CodersWelcome to Stately Academy, a school which is just crawling with mysteries to be solved! The founder of the school left many clues and puzzles to challenge his enterprising students.Secret Coders: Paths & PortalsIn the last volume, Hopper and Eni discovered a robot in the supply closet and programmed him to do mischief. Now they're trapped in an underground lair, and they must use their new programming skills to escape.Secret Coders: Secrets & SequencesHopper, Eni, and Josh won't rest until

Build School創辦人暨執行長 吳典璋╱資策會資深講師 王淳平、林俊昌、蘇國鈞 聯合推薦! *增訂版，含微軟Introduction to Programming using HTML and CSS(MTA 98-383)國際認證模擬試題。 *快速上手網頁語法：使用大量範例輔助初學者學習HTML5與CSS，使初學者快速進入網頁開發領域。 *CSS3排版與動畫設計：以實際豐富的案例介紹CSS3特效、排版與動畫技巧。 *訓練JavaScript：從零開始學習JavaScript、由變數宣告、選擇結構、重複結構、陣列到函式，沒有艱澀的專業用詞，讓初學者不在害怕程式設計。 *jQuery互動應用：透過jQuery函式快速選擇元素進行互動、選取表單資料、呼叫動畫函式與替換樣式，打造酷炫的互動網頁。 *RWD響應式網頁：以全新的Bootstrap 4元件建立行動優先的跨平台網頁。 *跨平台行動網頁：建置支援ios,Android,Windows Phone的行動網頁。 *跨平台App設計：使用jQueryMobile與Cordova建製原生Android App，並部署到手機實機上。 *全端應用：整合前端Bootstrap與後端ASP.NET MVC，建製擁有CRUD功能的員工系統。

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware.AAD recently became a centerpiece of modern financial systems, and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters programs in finance.Wiley's Computational Finance books, written by some of the very people who wrote Danske Bank's award-winning systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software.This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that

本書以面向對象程序設計(ObjectOriented Programming，OOP)方法為核心，並選用C++語言作為工具。 本書濃縮了作者多年來軟件開發經驗和教學實踐體會，圍繞兩條主線進行編寫： 一條主線以通俗易懂的語言圍繞類與對象，介紹面向對象程序構造的基本思想； 另一主線設計了豐富的實用程序，通過實踐引導讀者快速掌握使用C++語言開發面向對象程序的方法和技巧。力求使讀者不僅會使用C++語言

Billions have been spent on land conservation but too little attention had been paid to how cost-effective these investments have been. With budgets increasingly constrained, conservationists must learn to fully harness their funds to protect critical resources. Messer and Allen are pioneers in making conservation selection more successful, cost-effective, scientific, and transparent. This book introduces powerful mathematical tools available for project selection, using real-life examples and a practical step-by-step approach. Readers can readily apply these methods to their own work, accomplishing more with less by combining the individual benefits of structured decision-making, mathematical programming, and an understanding of market forces and human behavior. The authors highlight tools from conservation science, mathematics, land use planning and behavioral economics, showing how they can be combined to help protect key environmental resources. This is an invaluable volume for all

Billions have been spent on land conservation but too little attention had been paid to how cost-effective these investments have been. With budgets increasingly constrained, conservationists must learn to fully harness their funds to protect critical resources. Messer and Allen are pioneers in making conservation selection more successful, cost-effective, scientific, and transparent. This book introduces powerful mathematical tools available for project selection, using real-life examples and a practical step-by-step approach. Readers can readily apply these methods to their own work, accomplishing more with less by combining the individual benefits of structured decision-making, mathematical programming, and an understanding of market forces and human behavior. The authors highlight tools from conservation science, mathematics, land use planning and behavioral economics, showing how they can be combined to help protect key environmental resources. This is an invaluable volume for all

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

This book constitutes the refereed proceedings of the 10th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2017, held in Helsinki, Finland, in Novembe

2 Informative Books in one Bundle!The Most Comprehensive JavaScript Beginners Guide on the Market!Have you ever wondered what allows people to be able to see different things on different websites? Th

This textbook provides a comprehensive overview of the human-computer interface in clear, non-technical language, making it an ideal introduction for students of both psychology and computer science. Covering the past, present, and future developments in technology and psychology, it combines cutting-edge academic research with engaging illustrations and examples that show students how the material relates to their lives. Topics addressed include: human factors of input devices, and the basics of sensation and perception; memory and cognitive issues of users navigating their way through interfaces; communication via programming languages and natural speech interaction; cyberpathologies such as techno-stress and Internet addiction disorders; and challenges surrounding automation and artificial intelligence. This thoroughly updated second edition features new chapters on virtual reality and cybersecurity; expanded coverage of social media, mobile computing, e-learning, and video games; a

This textbook provides a comprehensive overview of the human-computer interface in clear, non-technical language, making it an ideal introduction for students of both psychology and computer science. Covering the past, present, and future developments in technology and psychology, it combines cutting-edge academic research with engaging illustrations and examples that show students how the material relates to their lives. Topics addressed include: human factors of input devices, and the basics of sensation and perception; memory and cognitive issues of users navigating their way through interfaces; communication via programming languages and natural speech interaction; cyberpathologies such as techno-stress and Internet addiction disorders; and challenges surrounding automation and artificial intelligence. This thoroughly updated second edition features new chapters on virtual reality and cybersecurity; expanded coverage of social media, mobile computing, e-learning, and video games; a

Originally published in 1960, as the second edition of a 1957 original, this textbook is aimed at those without advanced mathematical training and provides a comprehensive introductory account of digital computers, what they are capable of doing and how they are made to do it. It begins with a discussion of programming - the preparation of instructions for the computer. This leads on to a consideration of systems of number storage, from the simple decimal system of desk calculating machines to the varieties of binary storage systems used in modern high-speed computers. The final chapter considers points, which arise in applying computers to engineering calculations, and gives details of some of the problems already solved in this way. Throughout the book the emphasis is on the applications of computers to routine work rather than to advanced research. This book will be of value to students of the history of computer science.