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Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts introduces advanced software engineering to software engineers, scientists, postdoctoral researchers, academicians, software consultants, management executives, doctoral students, and advanced level postgraduate computer science students.This book contains research articles addressing numerous software engineering research challenges associated with various software development-related activities, including programming, testing, measurements, human factors (social software engineering), specification, quality, program analysis, software project management, and more. It provides relevant theoretical frameworks, empirical research findings, and evaluated solutions addressing the research challenges associated with the above-mentioned software engineering activities.To foster collaboration among the software engineering research community, this book also reports datasets acquired systematically through scientific methods and related to various software engineering aspects that are valuable to the research community. These datasets will allow other researchers to use them in their research, thus improving the quality of overall research. The knowledge disseminated by the research studies contained in the book will hopefully motivate other researchers to further innovation in the way software development happens in real practice.

Learn to implement web designs using HTML5 and CSS3. This book focuses on the need for responsive web design and how you can leverage HTML5 and CSS3 to create interactive websites that work in the real world. You do not need be a technology expert or have a prior coding background to benefit from this book. All you need is a want to learn and a curious mind to explore the full spectrum of features HTML5 and CSS3 have to offer.You'll see how to migrate legacy websites to responsive websites in a very easy-to-understand, step-by-step, manner. Additionally, you will learn to use supportive software to create, run, and debug any issues that may arise during the development process. This book will also show you how to implement websites that work on multiple devices, and on various browsers such as Opera, Chrome, internet Explorer, or Edge. All this will be explored with supporting files, open-source software, as well as a practical guide to creating your demo website along with learning new technologies.From the basics to more advanced topics, Creating Responsive Websites Using HTML and CSS is for anyone who wants to learn about and build beautiful responsive websites. What You'll LearnCode and design websites using HTML5 and CSS3 Design professional-looking websites using colors, margins, images, and other aspectsCreate a responsive design that will work on laptops, PCs, and any kind of mobile deviceTroubleshoot and fix code errors independently using developer toolsSolve cross-browser responsiveness issues and the challenges that come with different operating systemsWho This Book Is ForStudents and/or website designers who want to upskill their talents

Take your C++ skills to the next level with expert insights on advanced techniques, design patterns, and high-performance programmingPurchase of the print or Kindle book includes a free PDF eBookKey Features:Master templates, metaprogramming, and advanced functional programming techniques to elevate your C++ skillsDesign scalable and efficient C++ applications with the latest features of C++17 and C++20Explore real-world examples and essential design patterns to optimize your codeBook Description:Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals.This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design.With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.What You Will Learn:Go beyond the basics to explore advanced C++ programming techniquesDevelop proficiency in advanced data structures and algorithm design with C++17 and C++20Implement best practices and design patterns to build scalable C++ applicationsMaster C++ for machine learning, data science, and data analysis framework designDesign world-ready applications, incorporating networking and security considerationsStrengthen your understanding of C++ concurrency, multithreading, and optimizing performance with concurrent data structuresWho this book is for:This book will empower experienced C++ developers to achieve advanced proficiency, enabling them to build professional-grade applications with the latest features of C++17 and C++20. If you're an aspiring software engineer or computer science student, you'll able to master advanced C++ programming techniques through real-world applications that will prepare you for complex projects and real-world challenges.

This book will show you how to build Java-based microservices architecture using the popular Spring Boot framework by evolving a small monolith application to an event-driven architecture composed of several services. This third edition has been updated to cover Spring Boot 3, including its compatibility with Java 17 and Jakarta EE 10, and employs an incremental approach to teach the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization. Authors Moisés Macero and Tarun Telang get the ball rolling by introducing you to the fundamentals of microservices and Spring Boot before walking you through the development of a basic Spring Boot application. Yoüll then see how to build a front end using React, and learn how to use the data layer to read and write data from and to other systems via Spring Boot and its access to Spring Data and its available APIs. Putting together what you've learned thus far, yoüll begin to transform an application from a monolith to a microservice. This pragmatic approach will enable you to better grasp the benefits of using this type of software architecture, instead of keeping you distracted with theoretical concepts. The emphasis is on what matters most, starting with the minimum viable product, while maintaining the ability to adapt and improve your application as needed. After completing this book, you will have the foundational knowledge necessary to build your own microservice-based applications using Spring Boot.What You Will LearnGain a thorough understanding of microservices architecture and how it differs from monolithic architectures.Discover the step-by-step process of breaking down a monolithic application into smaller, focused servicesBuild microservices with Spring Boot 3, Spring Data, Spring Cloud, React.js, Docker, Cucumber, and moreDevelop Java-based microservices using the latest version of Spring Boot, compatible with Java 17 and Jakarta EE 10.Discover architecture patterns for distributed systems such as asynchronous processing, eventual consistency, resilience, scalability, and moreGain insight into event-driven communication patterns and understand how to design and build event-driven microservicesTrace every request from beginning to end with Sleuth and centralized loggingDeploy your microservices anywhere as Docker containersWho This Book Is ForThose with at least some prior experience with Java programming. Some prior exposure to Spring Boot recommended but not required.

Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Naïve Bayes, and neural networks.After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary toapply these methods using PySpark, the industry standard for building scalable ML data pipelines.What You Will LearnMaster the fundamentals of supervised learning, unsupervised learning, NLP, and recommender systemsUnderstand the differences between PySpark, scikit-learn, and pandasPerform linear regression, logistic regression, and decision tree regression with pandas, scikit-learn, and PySparkDistinguish between the pipelines of PySpark and scikit-learn Who This Book Is ForData scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework.

This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior.The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, yoüll learn to use various debugging patterns through Python case studies that model abnormal software behavior. Yoüll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performancedegradation. This includes tracing, logging, and analyzing memory dumps using native WinDbg and GDB debuggers. Upon completing this book, you will have the knowledge and tools needed to employ Python debugging in the development of AI, machine learning, and cloud computing applications.What You Will LearnEmploy a pattern-oriented approach to Python debugging that starts with diagnostics of common software problemsUse tips and tricks to get the most out of popular IDEs, notebooks, and command-line Python debuggingUnderstand Python internals for interfacing with operating systems and external modulesPerform Python memory dump analysis, tracing, and loggingWho This Book Is ForSoftware developers, AI/ML engineers, researchers, data engineers, as well as MLOps and DevOps professionals.

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool--a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg. With this book, you'll learn: The architecture of Apache Iceberg tables What happens under the hood when you perform operations on Iceberg tables How to further optimize Iceberg tables for maximum performance How to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.

If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web.Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the servers response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario youre likely to encounter.Parse complicated HTML pagesDevelop crawlers with the Scrapy frameworkLearn methods to store data you scrapeRead and extract data from documentsClean and normalize badly formatted dataRead and write natural languagesCrawl through forms and loginsScrape JavaScript and crawl through APIsUse and write image-to-text softwareAvoid scraping traps and bot blockersUse scrapers to test your website

Awk was developed in 1977 at Bell Labs, and it's still a remarkably useful tool for solving a wide variety of problems quickly and efficiently. In this update of the classic Awk book, the creators of the language show you what Awk can do and teach you how to use it effectively. Here's what programmers today are saying: "I love Awk." "Awk is amazing." "It is just so damn good." "Awk is just right." "Awk is awesome." "Awk has always been a language that I loved." It's easy: "Simple, fast and lightweight." "Absolutely efficient to learn because there isn't much to learn." "3-4 hours to learn the language from start to finish." "I can teach it to new engineers in less than 2 hours." It's productive: "Whenever I need to do a complex analysis of a semi-structured text file in less than a minute, Awk is my tool." "Learning Awk was the best bang for buck investment of time in my entire career." "Designed to chew through lines of text files with ease, with great defaults that minimize the amount of code you actually have to write to do anything." It's always available: "AWK runs everywhere." "A reliable Swiss Army knife that is always there when you need it." "Many systems lack Perl or Python, but include Awk." Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

If you're developing ABAP applications, you need CDS expertise. This book is your all-in-one guide, updated for SAP S/4HANA 2023! Start by learning to create and edit CDS views. Walk through CDS syntax and see how to define associations and annotations. Further refine your model by implementing access controls, service bindings, and table functions. Understand the CDS-based virtual data model, and then follow step-by-step instructions to model analytical and transactional applications. From modeling to testing to troubleshooting, this is the only book you need!In this book, you'll learn about:a. Creating Data Models Create data models using CDS! Learn the ins and outs of CDS view syntax, from key fields to joins to data types and beyond. Define associations to establish relationships, use annotations to enrich your logic, implement conditional logic to control access, and more.b. Modeling Applications See how CDS views support a new application architecture. Model analytical applications by defining analytical views and queries; then use CDS for transactional applications based on the ABAP RESTful application programming model. c. Extending, Testing, and TroubleshootingPut the finishing touches on your CDS data models. Extend and enhance CDS views and transactional models, develop automated tests using the test double framework, and troubleshoot common problems. Highlights include:1) Data modeling 2) Application modeling3) Associations4) Annotations5) Access controls6) Business services 7) SAP HANA functions8) Virtual data model9) Analytical and transactional applications10) Hierarchies11) Extensibility12) Testing and troubleshooting

This book constitutes the refereed post-proceedings of the 9th International Conference and 10th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2021 and MODELSWARD 2022, was held virtually due to the COVID-19 crisis on February 8¿10, 2021 and February 6¿8, 2022.The 11 full papers included in this book were carefully reviewed and selected from 121 submissions. The purpose of the International Conference on model-driven engineering and software development is to provide a platform for researchers, engineers, academics as well as industrial professionals from all over the world to present their research results and development activities in using models and model driven engineering techniques for system development.

Say goodbye to dependencies, bogged-down code, and inflexibility! With the Spring framework and Spring Boot, you'll painlessly create Java applications that are production ready. Start with the basics: containers for Spring-managed beans, Spring framework modules, and proxies. Then learn to connect to relational databases, implement Jakarta Persistence, use Spring Data JPA, and work with NoSQL databases. Get the right know-how for modern software development with Spring and Java!Highlights include:1) Containers2) Modules3) Proxies4) Dependency injection5) Caching6) RESTful web services7) Security 8) Deployment9) Databases10) Jakarta Persistence11) Spring Data JPA12) Spring Web MVC

Ce livre est écrit pour vous aider à maîtriser les concepts de base de la programmation Python et comprendre comment utiliser vos compétences en programmation pour analyser un grand volume de données. Le langage de programmation Python peut être considéré comme le langage de choix pour les débutants et les programmeurs avancés, car il est conçu pour mettre l'accent sur la lisibilité du code. De plus, ce langage de programmation augmente la vitesse des opérations et permet une plus grande efficacité dans la création d'intégrations système.Ce livre fournit des conseils généraux sur l'utilisation de Python pour développer des modèles d'apprentissage automatique à l'aide de Scikit-Learn, la bibliothèque d'apprentissage automatique basée sur Python la plus largement utilisée.Certains des principaux sujets abordés dans le livre sont les suivants :- Principales caractéristiques et avantages de l'apprentissage du code Python et historique de la création de la programmation Python.- Instructions étape par étape sur la façon d'installer Python sur vos systèmes d'exploitation (Windows, Mac et Linux).- Apprenez à créer des variables Python et à leur assigner le type de données souhaité.- Concepts de base pour écrire un code Python efficace, avec une emphase sur divers éléments de programmation tels que les booléens, les tuples, les ensembles, les dictionnaires, et plus encore.- Apprenez à écrire des déclarations if et else pour récupérer les informations souhaitées à partir des données.- Les boucles For et While sont expliquées en détail dans un langage facile à comprendre.- Apprenez les concepts de base de l'analyse des big data et des algorithmes d'apprentissage automatique.Tous les concepts sont expliqués en utilisant la syntaxe standard de Python, appuyés par des exemples pertinents et suivis d'exercices qui vous aident à tester et à vérifier votre compréhension de ces concepts. Enfin, en prime, vous apprendrez quelques astuces et astuces Python pour améliorer votre programmation d'apprentissage automatique. N'oubliez pas que le savoir, c'est le pouvoir, et avec le grand pouvoir que vous obtiendrez grâce à ce livre, vous serez armé pour prendre des décisions technologiques éclairées personnellement et professionnellement.Ne pensez-vous pas que c'est aussi simple que ça ? Si vous voulez vraiment obtenir la preuve de cela, ne perdez plus de temps !

Move Beyond Python Code That "Mostly Works" to Code That Is Expressive, Robust, and Efficient Python is arguably the most-used programming language in the world, with applications from primary school education to workaday web development, to the most advanced scientific research institutes. While there are many ways to perform a task in Python, some are wrong, inelegant, or inefficient. Better Python Code is a guide to "Pythonic" programming, a collection of best practices, ways of working, and nuances that are easy to miss, especially when ingrained habits are borrowed from other programming languages. Author David Mertz presents concrete and concise examples of various misunderstandings, pitfalls, and bad habits in action. He explains why some practices are better than others, based on his 25+ years of experience as an acclaimed contributor to the Python community. Each chapter thoroughly covers related clusters of concepts, with chapters sequenced in ascending order of sophistication. Whether you are starting out with Python or are an experienced developer pushing through the limitations of your Python code, this book is for all who aspire to be more Pythonic when writing better Python code. Use the right kind of loops in Python Learn the ins and outs of mutable and immutable objects Get expert advice to avoid Python "gotchas" Examine advanced Python topics Navigate the "attractive nuisances" that exist in Python Learn the most useful data structures in Python and how to avoid misusing them Avoid security mistakes Understand the basics of numeric computation, including floating point numbers and numeric datatypes "My high expectations for this engaging Python book have been exceeded: it offers a great deal of insight for intermediate or advanced programmers to improve their Python skills, includes copious sharing of precious experience practicing and teaching the language, yet remains concise, easy to read, and conversational."--From the Foreword by Alex Martelli Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

This book provides a compact but comprehensive treatment that guides readers through the C programming language with Microsoft® Visual Studio®. The author uses his extensive classroom experience to guide readers toward deeper understanding of key concepts of the C language. Each concept and feature of the language is presented as a short lesson, illustrated by practical worked examples to aid student self study. The book will appeal to a broad range of students who are required to study the C programming language.

This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions. Drawing upon a specific case from his own experience, author Nayanjyoti Paul begins with the consideration from which all subsequent decisions should flow: what does your customer need? He also describes the importance of identifying key stakeholders and the key points to focus on when starting a new project. Next, he takes you through the business and technical requirement-gathering process, and how to translate customer expectations into tangible technical goals. From there, yoüll gain insight into the security model that will allow you to establish security and legal guardrails, as well as different aspects of security from the end user¿s perspective. Yoüll learn which organizational roles need to be onboarded into the data lake, their responsibilities, the services they need access to, and how the hierarchy of escalations should work. Subsequent chapters explore how to divide your data lakes into zones, organize data for security and access, manage data sensitivity, and techniques used for data obfuscation. Audit and logging capabilities in the data lake are also covered before a deep dive into designing data lakes to handle multiple kinds and file formats and access patterns. The book concludes by focusing on production operationalization and solutions to implement a production setup. After completing this book, you will understand how to implement a data lake, the best practices to employ while doing so, and will be armed with practical tips to solve business problems. What You Will LearnUnderstand the challenges associated with implementing a data lakeExplore the architectural patterns and processes used to design a new data lakeDesign and implement data lake capabilitiesAssociate business requirements with technical deliverables to drive success Who This Book Is ForData Scientists and Architects, Machine Learning Engineers, and Software Engineers.

Build elegant, responsive, and stable Java Virtual Machine-based client applications (Fat Clients) with modern user interfaces. This book introduces JavaFX as a frontend technology and utilizes Kotlin instead of Java for coding program artifacts to boost code expressiveness and maintainability. Author Peter Späth employs a hands-on approach, providing practical examples and code to demonstrate each concept. Mid-level Java programming knowledge and a basic understanding of Kotlin are the only prerequisites; experience with JavaFX and frontend coding is not essential.JavaFX is a modern frontend programming toolkit equipped with containers, menus, buttons, sliders, text fields, and various other controls necessary for communicating with your users, all of which are covered here. Despite its name, JavaFX applications can be coded with programming languages other than Java. The central requirement is that any language targeting JavaFX compiles to artifacts runnable on a Java Virtual Machine. Over the course of this book, yoüll learn firsthand why Kotlin, with its elegant and concise syntax, is a perfect match.After completing Frontend Development With JavaFX and Kotlin, you will be able to build frontends of mid-to-high level complexity, depending on present Java skills, and use Kotlin as a language for addressing GUI programming needs and accessing the JavaFX API.What You Will LearnCreate a JavaFX + Kotlin development pipeline for Gradle, Eclipse and IntelliJUse JavaFX scenes, stages, and nodes/controlsMaster JavaFX event handling, effects, and animation using KotlinUnderstand the JavaFX Concurrency Framework and Kotlin Coroutines for JavaFXWho This Book Is ForLow- to mid-level Java or Kotlin developers with or without JavaFX experience who wish to learn how to build JavaFX applications with Kotlin.

Many people would like to learn Java but getting started is not easy since programming with Java requires at least two things: mastering the programming language and the development environment. With the help of many examples, this book shows how the language is structured. In addition, it employs the Eclipse development environment as an example of a powerful tool to teach developing Java programs. In Basics, the first part of the book, you acquire your Java and Eclipse basic knowledge. This part lays the programming foundations, gives you an overview of Java technology, and shows you what is special about object-oriented programming. In the second part called Java Language, everything revolves around the subtleties of the Java language and this is where the first small Java applications are created, aided by a fine blend of the knowledge part and practical exercises. Java Technology is both the name and the focus of the third part which also introduces you to the rules to observe when programming, what class libraries are and what advantages they have. In addition, you will learn how to test programs, what algorithms are, and how to program them. The fourth part, Java Projects, enables you to apply all the previous elements in an application with a graphical user interface. The project shows how to develop a larger application piece by piece with the Eclipse development environment. The Appendix concludes with a section on frequent errors that can occur when working with Eclipse, and a Glossary. All sample programs discussed in the book, and bonus material, are contained in an archive file which is available free of charge from the Elektor website www.elektor.com/20550.

F# in Action guides you from Functional Programming novice all the way to putting F# applications into production! It leverages your existing knowledge of software development and the .NET platform to get you up-and-running fast. Learn how you can use scripts to rapidly explore .NET libraries and packages, and level up your .NET skills for data exploration and analysis.

Learn Rust in a Month of Lunches is a fast and friendly guide to Rust proficiency. Each lesson introduces a new feature of the language, from working with types to making sense of the Rust standard library. Best of all, almost all code samples run in the browser-based Rust Playground. No need to install Rust to get started on a lesson!

Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others. The text could be used by students and lecturers for courses in Python, Numerical Methods, or as a first course in Data Science.

Take Angular to the next level - build captivating real-world applications while exploring modern web technologies and best practicesPurchase of the print or Kindle book includes a free PDF eBookKey Features:Explore Angular's capabilities for cross-platform app developmentCombine Angular with popular web technologies such as Nx monorepos, server-side rendering, and progressive web appsBuild your own libraries and schematics using Angular CDK and Angular CLBook Description:Angular Projects isn't like other books on Angular - this is a project-based guide that helps budding Angular developers get hands-on experience while developing cutting-edge applications.In this updated third edition, you'll master the essential features of the framework by creating ten different real-world web applications. Each application will demonstrate how to integrate Angular with a different library and tool, giving you a 360-degree view of what the Angular ecosystem makes possible.Updated to the newest version of Angular, the book has been revamped to keep up with the latest technologies. You'll work on a PWA weather application, a mobile photo geotagging application, a component UI library, and other exciting projects. In doing so, you'll implement popular technologies such as Angular Router, Scully, Electron, Angular service workers, Jamstack, NgRx, and more.By the end of this book, you will have the skills you need to build Angular apps using a variety of different technologies according to your or your client's needs.What You Will Learn:Set up Angular applications using Angular CLI and Nx ConsoleCreate a personal blog with Jamstack, Scully plugins, and SPA techniquesBuild an issue management system using typed reactive formsUse PWA techniques to enhance user experienceMake SEO-friendly web pages with server-side renderingCreate a monorepo application using Nx tools and NgRx for state managementFocus on mobile application development using IonicDevelop custom schematics by extending Angular CLIWho this book is for:This book is for developers with beginner-level Angular experience who want to become proficient in using essential tools and dealing with the various use cases in Angular. Beginner-level knowledge of web application development and basic experience of working with ES6 or TypeScript is essential before you dive in.This book focuses on practical applications of Angular. If you want to deepen your understanding of this framework, we recommend that you also look at Learning Angular from the same author.

Las redes neuronales artificiales son modelos computacionales que combinan descripciones matemáticas y algoritmos para representar fenómenos o regularidades naturales. Estos modelos han sido aplicados con éxito en áreas clave como la robótica, exploración espacial y medicina, y es precisamente en este contexto que surge la necesidad de profundizar en su estudio. Este libro presenta sus fundamentos desde una perspectiva académica equilibrada en cuanto a los principios matemáticos que entrañan y a sus aplicaciones más esenciales. En la primera parte, los lectores podrán encontrar la información que describe los principios matemáticos, así como los algoritmos que dan lugar a la construcción de una red neuronal artificial. En esta parte se profundiza en el código para implementar una red neuronal desde cero. Con ello, se presentan los fundamentos de las redes neuronales artificiales. La segunda parte se adentra en dos aplicaciones muy populares de las redes neuronales artificiales: las tareas de regresión y clasificación, que son fundamentales para resolver una gran cantidad de problemas. En esta sección, se utiliza una librería especializada en el desarrollo de modelos de inteligencia artificial para presentar ejemplos y problemas resueltos a través del código proporcionado. Finalmente, se concluye con la presentación y mención de aplicaciones más avanzadas, como las redes neuronales empleadas en el Deep Learning. Este libro puede ser utilizado tanto por estudiantes de alguna carrera técnico-científica como por profesionales interesados en aprender acerca de las redes neuronales artificiales.