Mastering Time - Innovative Solutions to Complex Scheduling Problems
Time is one of our most valuable resources, yet managing it effectively is often one of the toughest challenges. Mastering Time - Innovative Solutions to Complex Scheduling Problems is a comprehensive guide introducing new methods and solutions to solve complex scheduling problems in professional contexts. By mastering these creative solutions, you can gain control over your time. This book presents practical strategies and tools to streamline workflows, optimize resource allocation, and tackle bottlenecks head-on. Whether you are managing multiple projects, balancing competing priorities, or simply seeking to organize your time better, the insights provided in this book will help you unlock new levels of productivity and efficiency. With real-world examples, cutting-edge technologies like artificial intelligence, and time-tested techniques, Mastering Time - Innovative Solutions to Complex Scheduling Problems equips readers with the knowledge and tools to transform even the most challenging schedules into manageable, efficient plans. Dive into the future of scheduling, where complexity is simplified and time is truly mastered.
Software Design Decoded
An engaging, illustrated collection of insights revealing the practices and principles that expert software designers use to create great software. What makes an expert software designer? It is more than experience or innate ability. Expert software designers have specific habits, learned practices, and observed principles that they apply deliberately during their design work. This book offers sixty-six insights, distilled from years of studying experts at work, that capture what successful software designers actually do to create great software. The book presents these insights in a series of two-page illustrated spreads, with the principle and a short explanatory text on one page, and a drawing on the facing page. For example, "Experts generate alternatives" is illustrated by the same few balloons turned into a set of very different balloon animals. The text is engaging and accessible; the drawings are thought-provoking and often playful. Organized into such categories as "Experts reflect," "Experts are not afraid," and "Experts break the rules," the insights range from "Experts prefer simple solutions" to "Experts see error as opportunity." Readers learn that "Experts involve the user"; "Experts take inspiration from wherever they can"; "Experts design throughout the creation of software"; and "Experts draw the problem as much as they draw the solution." One habit for an aspiring expert software designer to develop would be to read and reread this entertaining but essential little book. The insights described offer a guide for the novice or a reference for the veteran--in software design or any design profession. A companion web site provides an annotated bibliography that compiles key underpinning literature, the opportunity to suggest additional insights, and more.
Designing Digital Solutions
We are living in the digital age: from ordering products & services to studying and booking travel, digital solutions are everywhere we go and in everything we do. In a world increasingly driven by technology, understanding the creation of digital solutions is ever more crucial. The second book in the comprehensive three-part Digital Solutions collection, Designing Digital Solutions offers a complete guide to digital solution design, exploring its nature, scope and a range of approaches and methodologies. It delves deep into various disciplines, situating them within the broader fields of solution and software architecture. The book also offers a range of stakeholders guidance on the decision making involved in digital solution design, which often requires compromise between business ambitions and 'the art of the possible'. The complete collection covers the entire life cycle of defining, designing, developing and delivering digital solutions, providing an essential body of knowledge (including extensive references for further study) for students of the BCS International Diploma in Solution Development.
Get Set Go
DESCRIPTION Go, a modern programming language renowned for its efficiency and concurrency, empowers developers to build scalable and robust applications. Get Set Go is your practical guide to learn this powerful technology, designed to take you from foundational concepts to advanced development techniques with clarity and ease. This book systematically guides you through the essentials, starting with setting up your Go environment and writing your first programs, while understanding Go modules and basic output. You will then explore core language elements like diverse data types, control structures, functions, and effective error handling. Progressing further, you will learn to manipulate strings and files, delve into the intricacies of Go's reflection capabilities, and harness the power of concurrency with goroutines and channels. You will gain expertise in structuring applications using structs, methods, and interfaces, build web applications with JSON and HTTP, ensure code reliability through logging and testing, and venture into modern web development practices and distributed systems. Finally, you will also unlock the potential of generics for writing reusable code and learn to secure your Go applications with cryptography.By the end of Get Set Go, you will possess a comprehensive understanding of Go programming, equipped with the skills and confidence to develop a wide range of applications, from efficient system tools to scalable web services and beyond.WHAT YOU WILL LEARN● Write efficient, maintainable, and testable Go code.● Set up Go, manage modules, and output formatted text.● Master Go's data types and control flow structures.● Define functions and implement Go's error handling.● Work with strings and perform essential file operations.● Build web applications and REST APIs with the net/http package.WHO THIS BOOK IS FORThis book is for developers wanting to learn Go and experienced programmers seeking a structured guide. While no prior Go knowledge is needed, understanding basic programming concepts will benefit software engineers, backend developers, and tech enthusiasts.
Comprehensive Data Structures and Algorithms in C++
DESCRIPTION Data structures and algorithms is an essential subject in computer science studies. It proves to be a great tool in the hands of any software engineer, and also plays a significant role in software design and development. It has become a must-have skill now for many competitions and job interviews in the software industry.The concepts are explained in a step-wise manner and illustrated with numerous figures, text, examples, and immediate code samples, which help in a better understanding of data structures and algorithms with their implementation. The book has more than 500 illustrations, code samples, and problems, along with solutions for exercises. This book provides a comprehensive study of data structures and algorithms, starting with an introduction to time and space complexity analysis using asymptotic notation. It explores arrays and matrices, then progresses to linked lists, stacks (LIFO), and queues (FIFO), emphasizing their respective operations and applications. A detailed chapter on recursion, including base cases and recursive calls, lays the groundwork for understanding binary trees and binary search trees, and graph algorithms such as DFS and BFS. Finally, the book covers storage management, addressing memory allocation, release and garbage collection. This book provides practical C++ implementations and problem-solving exercises to foster a solid understanding of these core computer science concepts. After completion of this book, students will have a good understanding of data structures and algorithms concepts and implementation. Software engineers will be able to provide more effective solutions with the use of appropriate data structures and efficient algorithms.WHAT YOU WILL LEARN● Fundamentals of data structures and algorithms.● A variety of data structures and algorithms useful for software design and development.● How to efficiently use different data structures and algorithms.● When and where to use appropriate data structures and algorithms.WHO THIS BOOK IS FORThe students who want to self-study data structures and algorithms as their university curriculum subject and to enter the software industry. It is also helpful for software engineers who want to learn to solve daily problems with better software design and writing efficient code.
Computational Literacy for the Humanities
Computational Literacy for the Humanities provides an introduction to mathematics and programming that is specifically designed for use by those engaged in the humanities. Linking mathematical concepts and computational skills, the chapters in this book explore humanistic questions from diverse fields, such as art, history and literature.The book helps to advance computational and digital literacy by showing that each mathematical concept has a history, and each technique has a meaning. Rather than viewing mathematics and computer programming as purely instrumental, they are integrated into the process of achieving greater understanding of humanistic phenomena. Algorithms, data, statistics and networks are taught critically within the book, whilst the authors also make a concerted effort to expose the internal biases of these tools. They also demonstrate the applicability of quantification and computation for the promotion of diversification and inclusivity within the humanities. All exercises are designed as an opportunity to gain hands-on mathematical and computational experience, whilst critically exploring and interpreting humanistic phenomena.Computational Literacy for the Humanities shows readers how to engage with data in a way that is challenging, yet meaningful and empowering. It will be of interest to scholars and students working across the humanities and should be of particular interest to those working in digital humanities.
Java for Programmers
The professional programmer's Deitel(R) guide to Java with integrated generative AI Written for programmers with a background in another high-level language, in Java for Programmers: with Generative AI, Fifth Edition, you'll learn modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, you'll quickly master Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library, private- and public-key cryptography, classes, inheritance, polymorphism, interfaces, dependency injection, exceptions, generic collections, custom generics, functional programming with lambdas and streams, JavaFX GUI, graphics and multimedia, platform threads, virtual threads, structured concurrency, scoped values, building API-based Java genAI apps, database with JDBC and SQLite, the Java Platform Module System and JShell for Python-like interactivity. Features: GenAI Prompt Engineering, API Calls, 600 GenAI Exercises ChatGPT, Gemini, Claude, Perplexity Multimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, Video Generics: Collections, Classes, Methods Functional Programming: Lambdas & Streams JavaFX: GUI, Graphics, Multimedia Concurrency: Parallel Streams, Virtual Threads, Structured Concurrency, Scoped Values, Concurrent Collections, Multi-Core Database: JDBC, SQL, SQLite Java Platform Module System (JPMS) Objects Natural: Java API, String, BigInteger, BigDecimal, Date/Time, Cryptography, ArrayList, Regex, JSON, CSV, Web Services JShell for Python-Like Interactivity Want to stay in touch with the Deitels? Contact the authors at deitel@deitel.com Join the Deitel social media communitiesdeitel.com/linkedinfacebook.com/DeitelFaninstagram.com/DeitelFanx.com/deitelyoutube.com/DeitelTVmastodon.social/@deitel For source code and updates, visit: deitel.com/javafp5 Reviewer Comments"The future of Java programming is here, and this new edition of Deitel is leading the charge! By embracing genAI head-on, the authors are potentially revolutionizing programming education. Through its integrative approach to the use and study of genAI, this book is positioned to be the leading book in modern Java and its applications. Indeed, I expect that it should be widely adopted by instructors who want to ingrain in their students an appreciation for the critical role that Java will play in data science, machine learning, artificial intelligence, and cybersecurity. "The book's innovative and forward-thinking use of genAI facilitates reader engagement and inspires readers to think critically about the benefits and limitations of AI as a programming aid. Chapter 19 could become everyone's favorite new Java book chapter--the generative AI API-based code examples are interesting and fun. "All audiences of this book should read the Preface--there's so much to get excited about! It demonstrates, with refreshing transparency and honesty, how much love and care went into the reinvention of an already outstanding Java book by bringing it into a new frontier of what it means to be a programmer in today's world. Bravo! Your Preface statement: 'GenAI has created an ultra-high-level programming capability that will leverage your Java learning experience and ability to produce robust, top-quality Java software quickly, conveniently and economically.' is a great conclusion to the Preface intro--really helps justify the use of genAI!"--Brian Canada, Professor of Computational Science, University of South Carolina Beaufort "After reading your whole book, it was fun to read the Preface that wraps everything up at a high level. You have done some amazing work here, and I'm glad to have been a small part of it as a reviewer! I especially appreciate how difficult it must have been to make sure everything was as up to date as possible with the speed at which things change in this field, and the
Arduino Programming Using Simulink
Unlock advanced control design with Arduino and Simulink. Learn to design, simulate, and implement embedded systems for SVC, TCR, DVR, and more. Master code generation, real-time control, and simulation workflows for power electronics, reactive power, and dynamic voltage restoration. Perfect for engineers, students, and hobbyists.
Mastering Design Patterns for Layered Testing
Master Layered Test Automation and Build Integrate and Deploy with Confidence Book DescriptionIn today's fast-paced software development landscape, ensuring application quality requires a strategic approach to test automation. Mastering Design Patterns for Layered Testing empowers you with the knowledge and tools to design, implement, and optimize automation across UI, API, and backend layers using Python's powerful ecosystem. Starting with foundational concepts like test design patterns and the Test Pyramid, the book delves into practical implementations of unit testing, integration testing, API testing, and contract testing. You'll learn how to integrate automated tests into CI/CD pipelines using GitHub Actions, generate detailed test reports with Allure, and address modern testing challenges such as microservices and containerized environments. Real-world case studies illustrate how to apply these techniques in production settings. A dedicated chapter on Generative AI in testing explores its applications in test case generation and test data creation. Whether you're an intermediate tester looking to enhance your automation skills or an experienced professional seeking to learn advanced strategies, this book provides the expertise needed to build scalable and reliable test automation frameworks that drive software quality and efficiency. Stay ahead of the curve-master next-gen test automation before it's too late! Table of Contents1. Introduction to Strategic Test Design2. Understanding Test Design Patterns3. Unit Testing Strategies4. Integration Testing Approaches5. API Testing Techniques6. Contract Testing7. Distributing Tests Across UI, API, and Backend Layers8. Integrating Tests into CI/CD Pipelines9. Advanced CI/CD Strategies10. Future of Test Automation11. Leveraging Generative AI in Testing Index
Mobile Applications Development
The book covers the concepts of Python programming language along with mobile application development. Starting from fundamentals, the book continues with the explanation of mobile app development using Kivy framework. All the chapters offer questions and exercises for to better understanding of the subject. This second revised and updated edition covers the most recent developments in Kivy since the publishing of the first edition.
Requirements Engineering
This textbook provides a comprehensive and well-structured introduction to the fundamentals, principles, and techniques of requirements engineering (RE). It presents approved techniques for eliciting, negotiating, and documenting as well as validating, and managing requirements for software-intensive systems. The various aspects of the process and the techniques are illustrated using numerous examples based on extensive teaching experience and industrial collaborations. The book is structured in five parts. Part I "Fundamentals and Framework" provides a comprehensive introduction to the fundamentals of RE, illustrates why it is a critical success factor for any software development project, and describes different ways of implementing it in an organization and its role in different software engineering process models. Part II "Requirements Engineering Context" explains the essential role and influence of the RE context on system requirements, defines basic terms, and introduces the concept of context perspectives to support context consideration. Part III "Core Activities" describes requirements elicitation, documentation, and negotiation and conflict resolution strategies. Part IV "Requirements Artefacts" explains the management of goals, scenarios, and solution-oriented requirements, including methodologies like i* and KAOS. Eventually, Part V "Cross-Sectional Activities" details four validation and three management activities. This second edition of Pohl's widely used and trusted textbook provides a considerable number of updates, places a stronger focus on the consideration of the context, puts a stronger emphasis on conflict resolution, and includes new, expanded and revised techniques. The presentation aims at professionals, students, and lecturers in systems and software engineering or business applications development. Professionals such as project managers, software architects, systems analysts, and software engineers will benefit in their daily work from the didactically well-presented combination of validated procedures and industrial experience. Students and lecturers will appreciate the comprehensive description of sound fundamentals, principles, and techniques, which is completed by a huge, commented list of references for further reading. Lecturers will find additional teaching material on the book's website, www.requirements-book.com.
Requirements Engineering: Foundation for Software Quality
This book constitutes the refereed proceedings of the 31st International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2025, held in Barcelona, Spain, during April 7-10, 2025. The 21 full papers and 8 short papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: Responsible RE; Crowd and Large-Scale RE; Requirements Modeling; Requirements Elicitation and Analysis; Participatory RE; RE for Safety-critical and Autonomous Systems; and Requirements Quality Assurance.
Software, System, and Service Engineering
This book constitutes selected and enlarged versions of papers presented at S3E 2024 Topical Area, held as part of FedCSIS 2024, in Belgrade, Serbia, 8-11 September, 2024 and the 25th Conference on Practical Aspects of and Solutions for Software Engineering, KKIO 2024, held as part of SEAA 2024, Paris, France, during August 28-30, 2024. The 3 papers included from KKIO 2024 were selected from 18 submissions (and 10 presentations), and the 5 papers from S3E were selected from 25 submissions (and 12 presentations). The contributions deal with academic research and real-world applications in the field of software engineering.
Building Medallion Architectures
In today's data-driven world, organizations must manage and analyze vast amounts of information to deliver the insights that give them a competitive advantage. Many turn to the medallion architecture because it's a proven and well-known design. Yet implementing a robust data pipeline can be difficult, particularly when it comes to using the medallion architecture's bronze, silver, and gold layers--done wrong, it can hamper your ability to make data-driven decisions. This practical guide helps you build a medallion architecture the right way with Azure Databricks and Microsoft Fabric. Drawing on hands-on experience from the field, Piethein Strengholt demystifies common assumptions and complex problems you'll face when embarking on a new data architecture. Architects and engineers of all stripes will find answers to the most typical questions along with insights from real organizations about what's worked, what hasn't, and why. You'll learn: Lakehouse and medallion architecture fundamentals and key concepts Design considerations for Azure Databricks and Microsoft Fabric Scaling considerations, including governance, security, automation, and more How to make informed decisions when designing or implementing new data architectures Proven patterns for success that align with broader organizational objectives
Fundamentals of Software Engineering
What do you need to know to be a successful software engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your career advancement. With this practical book, you'll learn the skills you need to succeed and thrive. Authors Nathaniel Schutta and Dan Vega guide your journey with everything from pointers to deep dives into specific topic areas that will help you build the skills that really matter as a software engineer. Understand what software engineering is--and why communication and other soft skills matter Learn the basics of software architecture and architectural drivers Use common and proven techniques to read and refactor code bases Understand the importance of testing and how to implement an effective test suite Learn how to reliably and repeatedly deploy software Know how to evaluate and choose the right solution or tool for a given problem
Cloud Native Anti-Patterns
Build a resilient, cloud-native foundation by tackling common anti-patterns head on with practical strategies, cultural shifts, and technical fixes across AWS, Azure, and GCP Key Features: - Identify common anti-patterns in agile cloud-native delivery and learn to adopt good habits- Learn high-performing cloud-native delivery with expert strategies and real-world examples- Get prescriptive guidance on how to spot and remediate anti-patterns in your organization- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Successfully transitioning to a cloud-native architecture demands more than just new tools-it requires a change in mindset. Written by cloud transformation experts Gerald Bachlmayr, Aiden Ziegelaar, Alan Blockley, and Bojan Zivic-this guide shows you how to identify and remediate cloud anti-patterns, manage FinOps, meet security goals, and understand cloud storage, thus steering your organization to become truly cloud native. You will develop the skills necessary to navigate the cloud native landscape, irrespective of the platform: AWS. Azure or GCP!You'll start by exploring the events that shaped our understanding of the modern cloud-native stack. Through practical examples, you'll learn how to implement a suitable governance model, adopt FinOps and DevSecOps best practices, and create an effective cloud native roadmap. You will identify common anti-patterns and refactor them into best practices.The book examines potential pitfalls and suggests solutions that enhance business agility. You'll also gain expert insights into observability, migrations, and testing of cloud native solutions.What You Will Learn: - Get to grips with the common anti-patterns of building on and migrating to the cloud- Identify security pitfalls before they become insurmountable- Acknowledge governance challenges before they become problematic- Drive cultural change in your organization for cloud adoption- Explore examples across the SDLC phases and technology layers- Minimize the operational risk of releases using powerful deployment strategies- Refactor or migrate a solution from an anti-pattern to a best practice design- Effectively adopt supply chain security practicesWho this book is for: This book is for cloud professionals with any level of experience who want to deepen their knowledge and guide their organization toward cloud-native success. It is Ideal for cloud architects, engineers (cloud, software, data, or network), cloud security experts, technical leaders, and cloud operations personnel. While no specific expertise is required, a background in architecture, software development, data, networks, operations, or governance will be helpful.Table of Contents- The Benefits of Cloud Native and Common Misunderstandings- Strategizing Your Shift to Cloud Native- Rethinking Governance in a Cloud-Native Paradigm- How to Avoid a Bill Shock- Deliver Rapidly and Continuously without Compromising Security- How to Meet Your Security and Compliance Goals- Expressing Your Business Goals in Application Code- Don't Get Lost in the Data Jungle- Connecting It All- Observing Your Architecture- Running It without Breaking It- Migrating from Old to New- How Do You Know It All Works?- How to Get Started with Your Cloud Native Improvement Journey- Transitioning
Powerful, Profitable Software Products
You hold in your hands a comprehensive guide to creating a flourishing software development practice - one that makes a powerful impact with the software it builds. This guide describes the unique aspects of creating software-based products. It also lays out the clear practical guidance that's necessary to construct and evolve a modern practice. This includes hiring, structuring teams properly, writing good code, leveraging test driven development, designing architecture, automating development processes with DevOps techniques, and - importantly - leading teams through the disruptive change that each of these can represent. Further, the first principles upon which these practices rest will be elaborated so that the reader can readily adapt the already practical techniques to the broadest possible set of real-world situations.
Introduction to Computer Aided Design, Engineering and Manufacturing
Introduction to Computer Aided Design, Engineering and Manufacturing
Regression Analysis with Classical and Statistical Learning Methods
Software Engineering Approaches to Enable Digital Transformation Technologies
Web Browser Engineering
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations. A working or budding software engineer always benefits from deeply understanding the platform their code runs on, and web browsers are the most common and widely-used platform there is. This book is the essential description of how they work and how that impacts web developers and other software engineers whose work touches the web. Readers of?Web Browser Engineering?will join the authors in building their own web browser, including rich visual effects, multithreaded architecture, JavaScript APIs, and comprehensive security policies. Web browser engines are filled with unique challenges, interesting algorithms, and clever optimizations. Building a browser is both easy and incredibly hard, both intentional and accidental, and everywhere you look, you see the evolution and history of the web wrapped up in one codebase. It's both fun, and endlessly interesting. This interactive and engaging book will be a unique source for any software engineer, computer scientist, web developer, or simply anyone with an interest in web browsers and how they work.
