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This fast-paced, hands-on, quirky introduction to Windows’ Batch scripting language is ideal for coders of all skill levels.In this era of advanced programming languages, the simplicity, universality, and efficiency of Batch scripting holds undeniable value.Whether you’re maintaining legacy systems or seeking to understand the foundations of command line automation, The Book of Batch Scripting shows you how to become proficient with this tool included in every version of Windows.As you work through the book, you will:Write a simple .bat file that performs a daily task with just a couple of mouse clicksDelve into variables and data types, and learn how a variable can possess two values at once—and why you should careLearn how to manage and collect data on files and directories either locally or on a networkHarness the power of the for command to build complex loops with just a few lines of codeExplore advanced topics like recursion, performing text searches, and even learn how to write a .bat file that writes a .bat fileExtend Batch to use features like booleans, floats, operators, arrays, hash tables, stacks, queues, and even object-oriented designWritten for beginners and experts alike, The Book of Batch Scripting will have you streamlining your workflow and writing effective code in no time. This simple but powerful tool is about to make your life a little bit easier and more fun.Requires: Microsoft Windows

A computer programming language refers to any of the different languages used to convey a set of specific instructions to a digital computer. These instructions can be performed directly when represented in machine language. They follow a simple replacement procedure when expressed or translated in a corresponding higher-level language or assembly language. Low-level programming languages include assembly and machine languages. These languages require a programmer to manage all of a computer's features, such as data storage and operations. High-level languages, on the other hand, free a programmer from such concerns and give a notation that is easier for programmers to write and read. Various programming languages include algorithmic languages, business oriented languages, and object oriented languages. This book provides comprehensive insights on advanced principles and systems of programming languages. It is a vital tool for all researching or studying programming languages as it gives incredible insights into emerging trends and concepts.

A programming language is a computer language which is utilized for communicating with computers by programmers. It comprises of instructions written in a particular language to accomplish a specific task. A programming language is primarily used to create mobile applications, desktop applications, software and websites. There are various types of programming languages including low-level programming language, middle-level programming language, and high-level programming language. Some of the popular programming languages are C#, R, Go, C++, Python, Ruby, C, JavaScript, Java, Swift and PHP. Modern programming languages are designed to take advantage of large data sets, modern computer hardware, rapid networking, mobile devices and cloud networking. Majority of the advanced programming languages also provide better developer ergonomics. This book contains some path-breaking studies on programming languages. It will prove to be immensely beneficial to students and researchers in the field of computer science and software engineering.

A programming language refers to a set of rules for converting strings or graphical program elements to several types of machine code output. They are used to implement algorithms in computer programming. The description of a programming language is typically divided into two components, which include semantics and syntax, that are normally defined by a formal language. Specification document defines the programming language in certain cases, while some languages have dominant implementation which is treated as reference. Some languages have both, where basic language is defined by a standard and extensions derived from the dominant implementation. Programming language theory is a sub discipline of computer science concerned with the design, implementation, characterization, development, analysis and categorization of programming languages. This book is a valuable compilation of topics, ranging from the basic to the most complex advancements related to the theoretical and practical aspects of programming languages. It is appropriate for students seeking detailed information in this area of computer science as well as for experts.

MATLAB refers to a multi-paradigm programming language and numeric computing environment. It permits implementation of algorithms, plotting of functions and data, matrix manipulations, formation of user interfaces, and interfacing with programs written in other languages. It is a tool which allows the user to program, compute, and visualize the results graphically. It is mainly designed for numerical computation. It is an optional toolbox that utilizes the MuPAD symbolic engine that provides access to symbolic computing capabilities. MATLAB is widely used within various fields such as economics, engineering, and science. It can be used to simulate diverse electrical networks. Modern developments in the MATLAB has also made it a very competitive tool for wireless communication, data analytics, image processing, artificial intelligence, machine learning, and robotics. This book contains some path-breaking studies outlining the engineering applications of MATLAB. It will serve as a reference to a broad spectrum of readers.

"Originally designed as an educational supplement for the renowned Stanford courses Computer Science 106A and 106B, Bit by Bit is a comic-style resource that uses fractal grids, custom-drawn characters, and fun graphics as a visually immersive introduction to the key concepts of beginner coding, learning pedagogy, education, and visual thinking. Bit by Bit takes readers on a journey that encompasses the full scope of both courses; beginning with the chief elements and fundamentals of programming such as functions, variables, and integers; carrying readers through the basics of Python and C++ into the conceptual world of efficiency and recursion; and walking them through collections of linked data structures. Throughout each section, course and Stanford alum Ecy Femi King is there to guide, cajole, and assist, simultaneously providing useful tips to encourage maximum knowledge absorption and engaging commentary for readers at every level. In short, this book is more than just a cohesive "study buddy" for introductory Stanford courses. Rather, it delivers a far-reaching guide of both pedagogical interest and practical use to students, educators, and researchers worldwide"--

Dive into the diverse facets of the Laravel ecosystem. This comprehensive guide will put you on the fast track to becoming an expert in Laravel development. Starting with the fundamentals, yoüll explore essential concepts, enabling you to grasp the framework's structure. Subsequent chapters cover intricate topics, such as advanced routing techniques, database management, and eloquent object relational mapping (ORM), allowing developers to build robust applications. The book offers comprehensive insights into building secure applications with authentication and authorization mechanisms, as well as constructing efficient APIs and employing caching techniques for enhanced performance. Chapters on real-time applications and queues offer practical knowledge to optimize application responsiveness. Advanced package development and performance monitoring provide valuable tools for developing high-quality Laravel packages and debugging. Yoüll also gain expertise in internationalization, front-end development, and database optimization.Building Real-Time Marvels with Laravel doesn't shy away from the latest trends, featuring chapters on serverless computing, progressive web applications (PWAs), and UI/UX design patterns. It also emphasizes security, DevOps, and infrastructure automation. Bonus appendixes feature a handy Laravel cheat sheet, recommended resources, and a glossary of essential terms, making it a comprehensive reference for Laravel enthusiasts.What You Will Learn Gain a comprehensive understanding of advanced routing, database management with eloquent ORM, authentication, and API development.Study caching, database query optimization, queuing, and scaling strategies for high-traffic applicationsExplore advanced middleware, real-time applications, testing, and package development Who This Book Is ForIntermediate to advanced developers.

The book contains proven steps and strategies on how to learn basic programming in Java, including lesson summaries for easy reference and lessons at the end of each chapter to help you compound your new knowledge. Java is a simple language, object-oriented and incredibly easy to learn, provided you put your mind to it. Once you have learned the fundamental concepts and how to write the code, you will soon be programming like a pro!This book aims to teach you the basics of Java language in the simplest way possible. Unlike other resources, this book will not feed you with too many technicalities that might confuse you along the way. This book includes:Get to know the Richest Application Programming Interface Different Type Open Source Libraries Discover the 7 Best Development Tools of Java Keywords Identifiers What are the Variables ? Java Runtime Environment Creating Objects This book serves as a teaching guide and also a reference manual to accompany you through this wonderful world of programming. We aim to keep the core of the examples similar, so the only variable is the topic under discussion. This makes for easier learning and effortless referencing.

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.

This book is intended for programming beginners who want to learn the universal programming language C. More than 250 documented program examples in this book make it easy to get started. C is a powerful and widely used programming language that has had a significant impact on the field of computer programming. Developed by Dennis Ritchie at Bell Labs in the 1970s, C was designed to provide low-level access to computer hardware while maintaining a high degree of flexibility and portability. C is known for its simplicity, efficiency, and ability to manipulate memory directly. It provides a comprehensive set of features, including data types, control structures, functions, and libraries that allow programmers to write efficient and concise code. C is particularly well suited for systems programming, embedded systems, and other applications that require direct hardware access. One of C's main strengths is its focus on procedural programming. It emphasizes structured programming techniques such as modular design and code reuse, which makes it easier to organize and maintain large-scale projects. In addition, C's syntax has influenced many other programming languages, making it a valuable learning language for aspiring programmers. Despite its low-level capabilities, C is also a high-level language, providing abstractions that facilitate the development of complex software systems. The standard libraries provide a wide range of functions for tasks such as input/output operations, string manipulation, memory allocation, and more. C has become widely used in the development of operating systems, compilers, embedded systems, and other performance-related applications. Its popularity has led to an extensive ecosystem of tools, libraries, and resources that support C programming and make it accessible to programmers of all experience levels. Although C has a steep learning curve for beginners due to its low-level nature and explicit memory management, mastery of the language provides a solid foundation for understanding computer systems and programming concepts. Because of its continued relevance and widespread use, C remains an indispensable language for programmers who want to delve into the intricacies of software development.

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

This three-chapter handout covers the basic concepts of object-oriented programming (OOP) in Java, in line with the official curriculum [7]. The general aim of this handout is to introduce 2nd year students in the Mathematical Computing (MI) stream to computational thinking in problem solving, to understand the basic foundations of object-oriented programming and to master the techniques of designing advanced programs in the Java language. It does not, of course, require any prior knowledge of the subject, but nevertheless assumes as a given the basics of procedural programming, such as types, variables, loops, functions, etc., learned in the first year of MI.At the end of the course, students will be able to: 1) Write a functional program in Java.2) Find a solution to a simple problem using an object-oriented approach. 3) Use the notion of inheritance as a more advanced development technique to enrich, specialize and prioritize code.

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.

Access to technological devices has been gaining more and more space in the market, and mobile devices have become the most consumed technological product today. And with them came changes from the way we consume reading to the way we communicate and interact with the outside world. Over the years the weight has decreased, and the amount of content available has increased, thus facilitating portability and speeding up the writing and reading of various things. Despite the applications for production and text and sharing, none, until today, presented the functionality of help to the writer, of that platform. With this in mind, the central objective of this final course project is to develop an application where users can write stories, and help in a financial way other users who end up sympathising and clearly if desired, being able to choose between the options of times and values that can contribute, in this way it becomes a donor, each user who signs up can break at the moment when it suits him.

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

Studienarbeit aus dem Jahr 2023 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1.3, FOM Hochschule für Oekonomie & Management gemeinnützige GmbH, Köln, Sprache: Deutsch, Abstract: Die vorliegende Seminararbeit untersucht den Einsatz generativer Sprachmodelle für den Einsatz in Customer-Service-Prozessen. Zunächst wird dabei neben dem Aufbau und der Motivation das Ziel dieser Arbeit erläutert, um den Leser in das Thema einzuführen. Anschließend werden Begriffe, auf die im weiteren Verlauf eingegangen wird, kurz definiert und erklärt.Um einen fundierten Einblick in das Thema zu geben, werden zunächst die theoretischen Grundlagen vermittelt. Dabei werden insbesondere die Automatisierung und Bedeutung von Customer-Service-Prozessen sowie die Einsatzmöglichkeiten von generativen Sprachmodellen diskutiert.Im weiteren Verlauf der Arbeit wird die methodische Vorgehensweise einer systematischen Literaturrecherche beschrieben. Durch die Anwendung dieser Methode konnten relevante Forschungsarbeiten identifiziert und ausgewertet werden.Außerdem wird in den beiden Hauptkapiteln dieser Arbeit untersucht, inwiefern der Einsatz von generativen Sprachmodellen Unternehmen dabei helfen kann, ihre Customer-Service-Prozesse zu automatisieren, und es wird die zentrale Forschungsfrage behandelt, welche Chancen und Herausforderungen sich hieraus für die Unternehmen ergeben.Die ethische Dimension des Einsatzes generativer Sprachmodelle wurde als weitere bedeutende Herausforderung identifiziert. Die Minderung von Voreingenommenheit in den Antworten der Modelle erfordert weitere Kalibrierung und Aufmerksamkeit, um faire und nicht diskriminierende Kommunikation im Kundenservice zu gewährleisten.Ebenfalls von Bedeutung ist der Energiebedarf und die Nachhaltigkeit solcher Modelle. Angesichts des hohen Ressourcenverbrauchs bei der Verwendung großer Sprachmodelle ist zudem eine umweltfreundliche Nutzung entscheidend, um die Auswirkungen auf die Umwelt zu minimieren.Insgesamt verdeutlicht diese Arbeit, dass generative Sprachmodelle vielversprechende Lösungen für den Customer Service bieten können, jedoch auch sorgfältige Berücksichtigung der ethischen, rechtlichen und technologischen Aspekte erfordern.

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 !