Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snippets and guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your work. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm. What You Will Learn Get up to date with the latest MATLAB up to and including MATLAB 2020b Code in MATLAB Write applications in MATLAB Build your own toolbox of MATLAB code to increase your efficiency and effectiveness Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples using MATLAB.

Discover the new and updated features of PHP 8, such as the JIT compiler, union types, and attributes, with code examples of each. For each feature, the author includes real-life cases for its use and explains its benefits. What You Will Learn Utilize the new features of PHP 8 and modern development technologies Work with the JIT compiler in PHP 8 Discover PHP 8 using real-life cases Increase your available resources to become more valuable in your development team Who This Book Is For Experienced PHP programmers new to PHP 8.

Use this handy field guide as a quick reference book and cheat sheet for all of the techniques you use or reference day to day. Covering up to Android 11, this Android Java programming reference guide focuses on non-UI elements with a security focus. You won't see Android UI development, nor will you see low-level C or kernel techniques. Instead, this book focuses on easily digestible, useful, and interesting techniques in Java and the Android system. This reference guide was created out of the need for myself to jot down all the useful techniques I commonly reached for, and so I'm now sharing these techniques with you, whether you are an Android internals software engineer or security researcher. What You Will Learn Discover the differences between and how to access application names, package names, IDs, and unique identifiers in Android Quickly reference common techniques such as storage, the activity lifecycle, and permissions Debug using the Android shell Work with Android's obfuscation and encryption capabilities Extract and decompile Android applications Carry out Android reflection and dex class loading Who This Book Is For Programmers, developers, and admins with at least prior Android and Java experience.

Understand the newest trend in database programming for developers working in Java, Kotlin, Clojure, and other JVM-based languages. This book introduces Reactive Relational Database Connectivity (R2DBC), a modern way of connecting to and querying relational databases from Java and other JVM languages. The book begins by helping you understand not only what reactive programming is, but why it is necessary. Then building on those fundamentals, the book takes you into the world of databases and the newly released Reactive Relational Database Connectivity (R2DBC) specification. Examples in the book are worked using the freely available MariaDB database along with MariaDB's vendor-implementation of the R2DBC service-provider interface (SPI). Following along with the examples and the provided example code helps prepare you to work with any of the growing number of R2DBC implementations for popular enterprise databases such as Oracle Database and SQL Server. You'll be well prepared for what is becoming the future of database access from Java and other languages built on the JVM. What You Will Learn Understand why R2DBC was created and how it utilizes the Reactive Streams API Understand the components of the R2DBC service-provider interface Create and manage reactive database connections and connection pools using an R2DBC client Programmatically execute queries on a relational database using an R2DBC client Effectively utilize transactions using an R2DBC client Build relational database-driven applications that are event-driven and non-blocking Who This Book Is For Software developers building solutions using JVM languages and the JVM ecosystem, and developers who need an introduction to the R2DBC specification and reactive programming with relational databases and want to understand what Reactive Relational Database Connectivity is and why it came about. This book includes practical examples of using the R2DBC specification with Java and MariaDB that will provide developers with the knowledge they need to create their own solutions.

Gain a better understanding of pointers, from the basics of how pointers function at the machine level, to using them for a variety of common and advanced scenarios. This short contemporary guide book on pointers in C programming provides a resource for professionals and advanced students needing in-depth hands-on coverage of pointer basics and advanced features. It includes the latest versions of the C language, C20, C17, and C14. You'll see how pointers are used to provide vital C features, such as strings, arrays, higher-order functions and polymorphic data structures. Along the way, you'll cover how pointers can optimize a program to run faster or use less memory than it would otherwise. There are plenty of code examples in the book to emulate and adapt to meet your specific needs. What You Will Learn Work effectively with pointers in your C programming Learn how to effectively manage dynamic memory Program with strings and arrays Create recursive data structures Implement function pointers Who This Book Is For Intermediate to advanced level professional programmers, software developers, and advanced students or researchers. Prior experience with C programming is expected.

Practical C Programming teaches you not only the mechanics of programming, but also how to create programs that are easy to read, maintain, and debug. This third edition introduces popular Integrated Development Environments on Windows systems, as well as UNIX programming utilities, and features a large statistics-generating program to pull together the concepts and features in the language.

Edited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the Second Interdisciplinary Workshop on Logic, Language, and Meaning, TLLM 2020, held in Tsinghua, China, in December 2020. The 12 full papers together presented were fully reviewed and selected from 40 submissions. Due to COVID-19 the workshop will be held online. The workshop covers a wide range of topics where monotonicity is discussed in the context of logic, causality, belief revision, quantification, polarity, syntax, comparatives, and various semantic phenomena in particular languages.

Maintaining a practical perspective, Python Programming: A Practical Approach acquaints you with the wonderful world of programming. The book is a starting point for those who want to learn Python programming. The backbone of any programming, which is the data structure and components such as strings, lists, etc., have been illustrated with many examples and enough practice problems to instill a level of self-confidence in the reader. Drawing on knowledge gained directly from teaching Computer Science as a subject and working on a wide range of projects related to ML, AI, deep learning, and blockchain, the authors have tried their best to present the necessary skills for a Python programmer. Once the foundation of Python programming is built and the readers are aware of the exact structure, dimensions, processing, building blocks, and representation of data, they can readily take up their specific problems from the area of interest and solve them with the help of Python. These include, but are not limited to, operators, control flow, strings, functions, module processing, object-oriented programming, exception and file handling, multithreading, synchronization, regular expressions, and Python database programming. This book on Python programming is specially designed to keep readers busy with learning fundamentals and generates a sense of confidence by attempting the assignment problems. We firmly believe that explaining any particular technology deviates from learning the fundamentals of a programming language. This book is focused on helping readers attempt implementation in their areas of interest through the skills imparted through this book. We have attempted to present the real essence of Python programming, which you can confidently apply in real life by using Python as a tool. Salient Features Based on real-world requirements and solution. Simple presentation without avoiding necessary details of the topic. Executable programs on almost every topic. Plenty of exercise questions, designed to test readers' skills and understanding. Purposefully designed to be instantly applicable, Python Programming: A Practical Approach provides implementation examples so that the described subject matter can be immediately implemented due to the well-known versatility of Python in handling different data types with ease.

Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods. This is a step-by-step guide to hyperparameter optimization, starting with what hyperparameters are and how they affect different aspects of machine learning models. It then goes through some basic (brute force) algorithms of hyperparameter optimization. Further, the author addresses the problem of time and memory constraints, using distributed optimization methods. Next you'll discuss Bayesian optimization for hyperparameter search, which learns from its previous history. The book discusses different frameworks, such as Hyperopt and Optuna, which implements sequential model-based global optimization (SMBO) algorithms. During these discussions, you'll focus on different aspects such as creation of search spaces and distributed optimization of these libraries. Hyperparameter Optimization in Machine Learning creates an understanding of how these algorithms work and how you can use them in real-life data science problems. The final chapter summaries the role of hyperparameter optimization in automated machine learning and ends with a tutorial to create your own AutoML script. Hyperparameter optimization is tedious task, so sit back and let these algorithms do your work. What You Will Learn Discover how changes in hyperparameters affect the model's performance. Apply different hyperparameter tuning algorithms to data science problems Work with Bayesian optimization methods to create efficient machine learning and deep learning models Distribute hyperparameter optimization using a cluster of machines Approach automated machine learning using hyperparameter optimization Who This Book Is For Professionals and students working with machine learning.

For the first time microcontrollers are powerful enough to be programmed in Python. The landscape of embedded systems development is changing, microcontrollers are becoming more powerful, and the rise of the internet of things is leading more developers to get into hardware. This book provides the solid foundation to start your journey of embedded systems development and microcontroller programming with Python. You'll quickly realize the value of using Python. The theme of the book is simplicity and the cleanness and elegance of Python makes that possible. Featuring a step-by-step approach, this single source guide balances complexity and clarity with insightful explanations that you'll easily grasp. Python is quickly becoming the language of choice for applications such as machine learning and computer vision on embedded devices. What would previously be daunting and exceedingly difficult to do in C or C++ is now possible with Python because of its level of abstraction. Programming Microcontrollers with Python is your path to bringing your existing skills to the embedded space. What You'll Learn Review microcontroller basics and the hardware and software requirements Understand an embedded system's general architecture Follow the steps needed to carry a product to market Take a crash course in Python programming Program a microcontroller Interface with a microcontroller using LCD and Circuit Python Use and control sensors Who This Book Is For Those getting started with microcontrollers, those new to C, C++, and Arduino programming, web developers looking to get into IoT, or Python programmers who wish to control hardware devices.

Learn the principles behind object-oriented programming in Ruby and within a few chapters create a fully functional Ruby 3-based application. You'll gain a basic understanding of many ancillary technologies such as databases, XML, web frameworks, and networking - some of which will be needed for your first Ruby application. Based on the bestselling first and second editions, Beginning Ruby 3, 4th Edition is a leading guide to learn Ruby from the ground up. The new edition of this book provides the same excellent introduction to Ruby as the previous editions plus updates for the newest version of Ruby, including performance through an improved allocator, decreased heap fragmentation and more. Also, added: details on the just-in-time compiler, fewer limits on GIL (Global Interpreter Lock), and a static type checker. You'll see why the light and agile Ruby programming language remains a popular open source scripting option for developers building today's web applications. This book can also be used as a textbook or companion to a textbook on beginning Ruby programming. After reading and using this book, you'll have a firm handle to program in the Ruby language. What You Will Learn Discover the fundamentals of Ruby and its object-oriented building blocks Use the Ruby libraries, gems, and documentation Work with files and databases Write and deploy Ruby applications Harness the various Ruby web frameworks and use them effectively Do network programming with Ruby Who This Book Is For Beginning programmers, programmers new to Ruby, and web developers interested in learning the foundations of the Ruby programming language.

Make the most of R's extensive toolset R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R's graphics, interactive, and machine learning tools, you'll learn to apply R's extensive capabilities in an array of scenarios. The depth of the project experience is unmatched by any other content online or in print. And you just might increase your statistics knowledge along the way, too! R is a free tool, and it's the basis of a huge amount of work in data science. It's taking the place of costly statistical software that sometimes takes a long time to learn. One reason is that you can use just a few R commands to create sophisticated analyses. Another is that easy-to-learn R graphics enable you make the results of those analyses available to a wide audience. This book will help you sharpen your skills by applying them in the context of projects with R, including dashboards, image processing, data reduction, mapping, and more. Appropriate for R users at all levels Helps R programmers plan and complete their own projects Focuses on R functions and packages Shows how to carry out complex analyses by just entering a few commands If you're brand new to R or just want to brush up on your skills, R Projects For Dummies will help you complete your projects with ease.

Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures. The book introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. By the end of this book, you should be able to explain how algorithmic trading works and its practical application in the real world, and know how to apply supervised and unsupervised ML and DL models to bolster investment decision making and implement and optimize investment strategies and systems. What You Will Learn Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management Know the concepts of feature engineering, data visualization, and hyperparameter optimization Design, build, and test supervised and unsupervised ML and DL models Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices Structure and optimize an investment portfolio with preeminent asset classes and measure the underlying risk Who This Book Is For Beginning and intermediate data scientists, machine learning engineers, business executives, and finance professionals (such as investment analysts and traders)

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes. The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter notebooks to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways. What You Will Learn Build, train, and deploy machine learning models at scale using Kubernetes Containerize any kind of machine learning model and run it on any platform using Docker Deploy machine learning and deep learning models using Flask and Streamlit frameworks Who This Book Is For Data engineers, data scientists, analysts, and machine learning and deep learning engineers

Go on an adventure and build a roguelike from scratch using JavaScript. With the help of the battle-tested Phaser library, you'll go through all the steps to build a small, fun, playable web roguelite game. The author will guide you on how to add further features to the game such as populating the game with enemies, adding treasures, and so on. You will acquire technical knowledge about procedural generation and tile-based mapping as well as learn game design skills such as what makes dungeons fun and how to evoke an emotion in your game. Roguelikes are very popular with indie developers because of their focus on gameplay over graphics. You'll see why they appeal to game designers on a budget and discover that they serve as a good platform to experiment with novel ideas and designs. Along the way, you'll cover the increasingly popular roguelite genre that provides a hyper casual form of the genre that is approachable and often mobile. After reading this book, you'll be ready to create your own roguelikes, to dive deep into procedural generation, and also to bring some of the techniques shown here into other genres and game projects. What You Will Learn Make use of procedural generation for dungeons, mazes, monsters, and treasure Pick up skills to use Phaser to build games Implement turn-based mechanics Use tile-based graphics Who This Book Is For Game developers who want to build something fun and who have at least some prior JavaScript programming experience.

Do you have an awesome idea for the next break-through mobile gaming title? This updated edition will help you kick-start your project as it guides you through the process of creating several example game apps using APIs available in Android. You will learn the basics needed to join the ranks of successful Android game app developers. the book starts with game design fundamentals using Canvas and Android SDK 10 or earlier programming basics. You then will progress toward creating your own basic game engine and playable game apps that work on Android 10 or earlier smartphones and tablets. You take your game through the chapters and topics in the book to learn different tools such as OpenGL ES. And you will learn about publishing and marketing your games to monetize your creation. What You Will Learn Gain knowledge on the fundamentals of game programming in the context of Android Use Android's APIs for graphics, audio, and user input to reflect those fundamentals Develop two 2D games from scratch, based on Canvas API and OpenGL ES Create a full-featured 3D game Publish your games, get crash reports, and support your users Complete your own playable 2D OpenGL games Who This Book Is For Those with basic knowledge of Java who want to write games on the Android platform, and experienced game developers who want to know about the pitfalls and peculiarities of the platform

Quickly gain the insight necessary to address a multitude of Java-based Spring Framework and Spring Boot coding challenges using this succinct reference guide. Short, focused code examples will help you master many of the Spring elements such as AOP, data access, MVC for web development, security, web services/REST for microservices development, Batch for large data sets, and more. You'll also get a rundown of the increasingly popular Spring Boot microframework as well. You won't find any technical jargon, bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise, to the point, and highly accessible. The book is packed with useful information and is a must-have for any Java programmer. What You Will Learn Discover the Spring Framework and its many sub-projects Work with the Spring Boot microframework Program with the Spring Boot framework to build Java-based microservices, native cloud applications, and more Use some of the lesser-known but still important frameworks and tools such as REST Docs, HATEOAS, Cloud, and more Leverage these Spring frameworks and tools for building your next Java-based cloud application Who This Book Is For Those with prior experience with Java who want a quick and handy reference to using Spring.

Writing reliable and maintainable C++ software is hard. Designing such software at scale adds a new set of challenges. Creating large-scale systems requires a practical understanding of logical design - beyond the theoretical concepts addressed in most popular texts. To be successful on an enterprise scale, developers must also address physical design, a dimension of software engineering that may be unfamiliar even to expert developers. Drawing on over 30 years of hands-on experience building massive, mission-critical enterprise systems, John Lakos shows how to create and grow Software Capital. This groundbreaking volume lays the foundation for projects of all sizes and demonstrates the processes, methods, techniques, and tools needed for successful real-world, large-scale development. Up to date and with a solid engineering focus, Large-Scale C++, Volume I: Process and Architecture, demonstrates fundamental design concepts with concrete examples. Professional developers of all experience levels will gain insights that transform their approach to design and development by understanding how to Raise productivity by leveraging differences between infrastructure and application development Achieve exponential productivity gains through feedback and hierarchical reuse Embrace the component's role as the fundamental unit of both logical and physical design Analyze how fundamental properties of compiling and linking affect component design Discover effective partitioning of logical content in appropriately sized physical aggregates Internalize the important differences among sufficient, complete, minimal, and primitive software Deliver solutions that simultaneously optimize encapsulation, stability, and performance Exploit the nine established levelization techniques to avoid cyclic physical dependencies Use lateral designs judiciously to avoid the "heaviness" of conventional layered architectures Employ appropriate architectural insulation techniques for eliminating compile-time coupling Master the multidimensional process of designing large systems using component-based methods This is the first of John Lakos's three authoritative volumes on developing large-scale systems using C++. This book, written for fellow software practitioners, uses familiar C++ constructs to solve real-world problems while identifying (and motivating) modern C++ alternatives. Together with the forthcoming Volume II: Design and Implementation and Volume III: Verification and Testing, Large-Scale C++ offers comprehensive guidance for all aspects of large-scale C++ software development. If you are an architect or project leader, this book will empower you to solve critically important problems right now - and serve as your go-to reference for years to come. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Gain the skills to begin developing Raku applications from the ground up in this hands-on compact book, which includes a foreword from Larry Wall, creator of Perl. You'll learn enough to get started building with Raku, using Raku's gradual typing, handy object orientated features, powerful parsing capabilities, and human-usable concurrency. This book has been updated to include the latest version of Raku based upon the Perl 6.d major version which includes over 3,400 new commits in its specification. After a short introduction, each chapter develops a small example project, explaining the Raku features used. When the example is done, you'll explore another aspect, such as optimizing further for readability or testing the code. Along the way you'll see Raku basics, such as variables and scoping; subroutines; classes and objects; regexes; and code testing. When you've mastered the basics, Raku Fundamentals moves onto more advanced topics to give you a deeper understanding of the language. You'll learn, amongst other things, how to work with persistent storage, how to generate good error messages, and how to write tricky applications such as a file and directory usage graph and a Unicode search tool. What You Will Learn Get coding with latest version of Raku Work on several hands-on examples and projects Integrate Python libraries into your Raku-based programs Parse INI files using regexes and grammars Build a date-time converter Carry out refactoring and other automated tests Who This Book Is For If you already know one or more programming languages, and want to learn about Raku, then this book is for you.

The ideal code review process differs from organization to organization, but the needs all boil down to the same foundational factors. A software development team cannot properly grow if its code reviews are not consistent, straightforward, and aspire to hit several company goals at once, such as security, performance, longevity, and more. Implementing Effective Code Reviews is the manual your team has been seeking. Author Giuliana Carullo uses her expert background to guide you through the basics of building and maintaining clean code, and she is known for distilling complex concepts into entertaining and easy-to-grasp lessons. Healthy code requires incremental improvements, and knowing how to execute this is essential for conducting effective reviews on your team. While complex and fancy code can be interesting to work with, it will not always achieve business goals or solve urgent problems. Good coding practices are at the heart of a high-performing team, and Carullo instills these core values in a simple, straight-forward way in Implementing Effective Code Reviews. Whether you are a passionate programmer looking to go the extra mile at the office, or an experienced software engineer seeking a guide to how to improve your leadership and code review process, this book covers it all. With each chapter wrapped up in a handy checklist of crucial takeaways, Carullo has created an essential handbook for coders everywhere. There are a lot of myths that dominate the programming landscape, and Implementing Effective Code Reviews grounds the process and gets to the heart of the matter. What You Will Learn Understand how to work with your team to implement effective code reviews Master good programming practices that will build healthy code Discover how you should tackle different complex areas during code review like, security and performance Who This Book Is For Passionate programmers willing to go the extra mile to be better at their jobs, new programmers looking to strengthen their programming skills, and experienced software engineers looking for a quick guide on how to review code

Used by sites as varied as Hulu, GitHub, Shopify, and Airbnb, Ruby on Rails is one of the most popular frameworks for developing web applications, but it can be challenging to learn and use. Whether you're new to web development or new only to Rails, Ruby on Rails (TM) Tutorial, Seventh Edition, is the solution. Best-selling author and leading Rails developer Michael Hartl teaches Rails by guiding you through the development of three example applications of increasing sophistication. The tutorial's examples focus on the general principles of web development needed for virtually any kind of website. The updates to this edition include full compatibility with Rails 7. This indispensable guide provides integrated tutorials not only for Rails, but also for the essential Ruby, HTML, CSS, and SQL skills you need when developing web applications. Hartl explains how each new technique solves a real-world problem, and then he demonstrates it with bite-sized code that's simple enough to understand while still being useful. Whatever your previous web-development experience, this book will guide you to true Rails mastery. This book will help you Set up your Rails development environment Record version changes with Git and create a secure remote repository at GitHub Deploy your applications early and often with Heroku Go beyond generated code to truly understand how to build Rails applications from scratch Learn testing and test-driven development (TDD) Effectively use the model-view-controller (MVC) pattern Structure applications using the REST architecture Build static pages and transform them into dynamic ones Master the Ruby programming skills all Rails developers need Create high-quality site layouts and data models Implement registration and authentication systems, including validation and secure passwords Update, display, and delete users Upload and display images using Active Storage and Amazon S3 Implement account activation and password reset, including sending email with Rails Integrate JavaScript with Rails using Importmap Add social features and microblogging, including an introduction to Hotwire and Turbo "Ruby on Rails (TM) Tutorial by Michael Hartl has become a must-read for developers learning how to build Rails apps." --Peter Cooper, Editor of Ruby Inside Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Master the C code appropriate for numerical methods and computational modeling, including syntax, loops, subroutines, and files. Then, this hands-on book dives into financial applications using regression models, product moment correlation coefficients, and asset pricing. Next, Practical Numerical C Programming covers applications for engineering/business such as supermarket stock reordering simulation as well as flight information boards at airports and controlling a power plant. Finally, the book concludes with some physics including building simulation models for energy and pendulum motion. Along the way, you'll learn center-of-mass calculations, Brownian motion, and more. After reading and using this book, you'll come away with pragmatic case studies of actual applications using C code at work. Source code is freely available and includes the latest C20 standard release. What You Will Learn Apply regression techniques to find the pattern for depreciation of the value of cars over a period of years Work with the product moment correlation coefficient technique to illustrate the accuracy (or otherwise) of regression techniques Use the past stock values of an asset to predict what its future values may be using Monte Carlo methods Simulate the buying of supermarket stock by shoppers and check the remaining stock: if it is too low print a message to reorder the stock Create a file of arrivals for an airport and send data to the airport's display boards to show the current situation for the incoming flights Simulate the patterns of particles moving in gases or solids Who This Book Is For Programmers and computational modelers with at least some prior experience with programming in C as well as programming in general.

* Covers all aspects of VB .NET programming in seven self-contained minibooks: Visual Basic .NET Programming Fundamentals, Advanced Visual Basic .NET Programming, The .NET Editor, Object-Oriented Programming, Programming for the Web, Database Programming, and Graphics and Games
* Visual Basic is the primary tool of more than fifty percent of all professional developers, so the upgrade to VB .NET represents a major paradigm shift; this handy all-in-one guide gives them easy access to valuable information
* Guides the reader through getting integrated with the rest of Visual Studio .NET, covers programmatic encryption and other .NET security capabilities, and shows how to program for Web services with VB .NET and ASP.NET
* Companion Web site includes a must-have bonus appendix that provides parallel VB 6 and VB .NET sample code to help VB programmers make the somewhat difficult transition to .NET

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will Learn Optimize core operations based on N-dimensional arrays Design and implement an industry-level algorithmic differentiation module Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation Use the Zoo system for efficient scripting, code sharing, service deployment, and composition Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.

Create cryptocurrency and blockchain applications by examining the key algorithms and concepts pertaining to blockchains, transaction processing, mining, distributed consensus, and anonymous currencies. In this book, you'll develop a fully functional cryptocurrency from scratch in the Python language. Practical Blockchains and Cryptocurrencies is a reference for development of blockchain applications and provides you with rigorous information on cryptography and the theory underlying blockchains. This book consists of small chapters that focus on particular topics. You'll start with a short history of money. Next, you will survey the bitcoin and altcoin ecosystem before delving into cryptographic hash functions, symmetric encryption, public key cryptography, and digital signatures. All the mathematics required to develop blockchain applications is covered. The emphasis is on providing a lucid and rigorous exposition on the nature and working of these constructs. The next major segment of the book discusses the key concepts and algorithms required to develop blockchain and cryptocurrency applications. There are expositions on blockchain construction, Merkle trees, peer-to-peer networks, cryptocurrency addresses, transactions, and mining. You'll take a deep dive into the formation of consensus in distributed systems. In this book you'll develop a fully functional cryptocurrency called Helium from scratch in Python. The language requirements are modest since it is presumed that most readers will not be acquainted with Python. The entire source code and unit test code is included in this book. Practical Blockchains and Cryptocurrencies interleaves theory and Helium program code chapters in order to demonstrate the practical application of theory in working Helium program code. What You Will Learn Gain the mathematical foundations as well as the concepts and algorithms of blockchains and cryptocurrencies Implement a cryptocurrency from scratch in Python Master the design of distributed blockchain applications Who This Book Is For Anyone interested in creating cryptocurrency and blockchain applications