Optimization Algorithms for Distributed Machine Learning
This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where the task of computing gradients is divided across several worker nodes. The author discusses several algorithms that improve the scalability and communication efficiency of synchronous SGD, such as asynchronous SGD, local-update SGD, quantized and sparsified SGD, and decentralized SGD. For each of these algorithms, the book analyzes its error versus iterations convergence, and the runtime spent per iteration. The author shows that each of these strategies to reduce communication or synchronization delays encounters a fundamental trade-off between error and runtime.
The Essential Guide to Creating Multiplayer Games with Godot 4.0
Level up your Godot 4 networking skills with this comprehensive guide featuring dedicated servers and persistent worlds, illustrated with key images in colorKey Features- Ensure player synchronization and coexistence in a game world- Mitigate latency in your multiplayer games to design a seamless shared experience- Optimize and debug your games using profilers and monitors to visualize performance- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe Essential Guide to Creating Multiplayer Games with Godot 4.0 guides you in exploring the built-in network API for online multiplayer games, offering practical knowledge through concrete use cases.Throughout the book, you'll assume the role of a network engineer in a fictional indie game studio, tackling real-world requests from your peers and gaining expertise in adding new network features to the studio's games. Following step-by-step instructions, you'll go from making your first network handshake to optimizing online gameplay. You'll learn how to sync players and pass data over the internet as you add online multiplayer features to a top-down shooter adventure game.This book puts you in a fictional game project team where you set up your first online server before advancing to creating an online chat system and transitioning local gameplay to go online. With a focus on implementing multiplayer features, you'll create shared world adventures and learn optimization techniques to allow more players to join your virtual world.By the end of this book, you'll have learned how to set up a client-server network, implement remote procedure calls (RPCs), sync node properties remotely, and optimize your games to create smooth online multiplayer experiences.What you will learn- Understand the fundamentals of networking and remote data exchange between computers- Use the Godot game engine's built-in API to set up a network for players- Master remote procedure calls and learn how to make function calls on objects remotely- Enhance your GDScript proficiency to get the most out of this powerful language- Explore industry-standard solutions for common online multiplayer challenges- Improve your networking skills and discover how to turn single-player games into multiplayer experiencesWho this book is forIf you're involved in game development with Godot and want to add multiplayer capabilities to enrich the shared gaming experience, then this book is for you. You'll also find this book useful if you're a network engineer looking to gain hands-on experience with practical projects. To get the most out of this book, a prior understanding of the Godot Engine design philosophy, the GDScript programming language, the SceneTree structure, and how nodes work is essential.Table of Contents- Setting up a server for multiplayer game- Sending and receiving data- Making a lobby to gather players together- Creating an online chat- Making an online quiz game- Building an online checkers game- Developing an online Pong- Designing an online co-op platformer- Creating a top-down adventure game- Debugging and profiling the network- Optimizing data requests- Implementing prediction and interpolation- Caching data to decrease bandwidth
Istqb(r) Certified Tester Foundation Level
This book is aimed at everyone preparing for the ISTQB(R) Certified Tester - Foundation Level exam based on the Foundation Level syllabus (version 4.0) published in 2023. It provides candidates with reliable knowledge based on this document and thus distinguishes itself from all the information about ISTQB(R) syllabi and exams on the Internet, which is often of rather poor quality and may even contain serious errors. The book expands and details many issues that are described in the new 2023 version of the syllabus in a perfunctory or general way only. According to the ISTQB(R) guidelines for syllabus-based training, an exercise must be provided for each learning objective at the K3 level, and a practical example must be provided for each objective at the K2 or K3 level. In order to satisfy these requirements, the authors prepared numerous exercises and examples for all learning objectives at these levels. In addition, for each learning objective, one or more sample exam questions are presented which are similar to those that the candidate will see in the exam. This makes the book an excellent aid for studying and preparing for the exam and verifying acquired knowledge.
Theoretical Aspects of Computing - Ictac 2023
This book constitutes the proceedings of the 20th International Colloquium on Theoretical Aspects of Computing, ICTAC 2023, which took place in Lima, Peru, during December 4-8, 2023. The 20 full papers presented in this volume together with 3 invited papers and 1 tool paper were carefully reviewed and selected from 40 submissions. They were organised in the topical sections as follows: Bring Together Practitioners; Researchers from Academia; Industry; Government to Present Research Results and Exchange Experience and Ideas.
Exception Handling
This book presents the fundamentals of exception handling with examples written in C++ and Python. Starting with its history and evolution, it explores the many facets of exception handling, such as its syntax, semantics, challenges, best practices, and implementation patterns. The book is composed of five chapters: Chapter 1 provides an introduction, covering the history, various definitions, and challenges of exception handling. Chapter 2 then delves into the basics, offering insights into the foundational concepts and techniques. Subsequently, chapter 3 touches upon the best practices for exception handling, including the differences between errors and exceptions, the use of assertions, and how to provide meaningful error messages. Chapter 4 takes a deep dive into advanced exception-handling techniques, exploring e.g. patterns, guard clauses, and hierarchical exception handling. Eventually, chapter 5 focuses on the complexities of exception handling in real-time and embedded systems. This book is mainly written for both students and professionals. Its readers will understand the nuances between syntax and semantic errors, learn how to employ try-catch blocks effectively, grasp the importance of logging exceptions, and delve into advanced exception-handling techniques. This way, they will be enabled to handle exceptions effectively and thus write more robust, reliable, and resilient code.
Software, System, and Service Engineering
This book constitutes the refereed proceedings of the S3E 2023 Topical Area, 24th Conference on Practical Aspects of and Solutions for Software Engineering, KKIO 2023, and 8th Workshop on Advances in Programming Languages, WAPL 2023, as Part of FedCSIS 2023, held in Warsaw, Poland, during September 17-20, 2023. The 6 revised papers presented in this book were carefully reviewed and selected from a total of 55 submissions. They focus on new ideas and developments in practical aspects and solutions for software engineering.
A Power Bi Compendium
Are you a reasonably competent Power BI user but still struggling to generate reports that truly tell the story of your data? Or do you simply want to extend your knowledge of Power BI by exploring more complex areas of visualizations, data modelling, DAX, and Power Query? If so, this book is for you. This book serves as a comprehensive resource for users to implement more challenging visuals, build better data models, use DAX with more confidence, and execute more complex queries so they can find and share important insights into their data. The contents of the chapters are in a question-and-answer format that explore everyday data analysis scenarios in Power BI. These questions have been generated from the author's own client base and from commonly sought-for information from the Power BI community. They cover a wide and diverse range of topics that many Power BI users often struggle to get to grips with or don't fully understand. Examples of suchquestions are: How can I generate dynamic titles for visuals?How can I control subtotals in a Matrix visual?Why do I need a date dimension?How can I show the previous N month's sales in a column chart?Why do I need a Star Schema?Why aren't my totals correct?How can I bin measures into numeric ranges?Can I import a Word document?Can I dynamically append data from different source files? Solutions to these questions and many more are presented in non-technical and easy-to-follow explanations negating the requirement to perform tiresome and fruitless "google" searches. There are also companion Power BI Desktop files that set out the answers to each question so you can follow along with the examples given in the book.. After working through this book, you will have extended your knowledge of Power BI to an expert level, alleviating your existing frustrations and so enabling you to design Power BI reports where you are no longer limited by your lack of knowledge or experience. Who is This Book For: Power BI users who can build reports and now want to extend their knowledge of Power BI.
Deep Learning and Applications
In recent years, the field of artificial intelligence has witnessed an extraordinary resurgence, with deep learning emerging as the cornerstone of numerous breakthroughs across various domains. "Deep Learning and Applications" embarks on a journey into the captivating realm of deep learning, unraveling its intricate concepts, techniques, and transformative potential. This book serves as a comprehensive guide for both newcomers and seasoned practitioners, delving into the foundations of deep learning while illuminating its diverse applications. The rapid evolution of this field has not only enriched our understanding of machine learning but has also revolutionized industries, from healthcare and finance to art and entertainment. However, this book is not merely a theoretical exposition. It celebrates the synergy between theory and practice. With practical examples, code snippets, and case studies, readers are empowered to embark on their own deep learning odyssey. We showcase how to wield the power of frameworks like TensorFlow and PyTorch, demystifying the process of constructing, training, and fine-tuning deep learning models. "Deep Learning and Applications" is an invitation to be part of the transformative wave that is reshaping technology and society. Whether you are an aspiring data scientist, a researcher pushing the boundaries of AI, or a curious mind seeking to comprehend the forces shaping our digital age, this book promises a rewarding voyage into the depths of knowledge and innovation. So, embark on this adventure with us, as we navigate the intricate seas of deep learning and its boundless applications.
Building Kotlin Applications
Kotlin is a modern, expressive, and concise programming language popular among developers for its many benefits. These include its interoperability with Java, ability to build native mobile and web applications, and support for functional programming. This book provides a comprehensive introduction to Kotlin, covering everything you need to know to start building Kotlin applications, regardless of your prior programming experience.
Tools and Methods of Program Analysis
This book constitutes the refereed proceedings of the 6th International Conference on Tools and Methods of Program Analysis, TMPA 2021, held in Tomsk, Russia, during November 25-27, 2021.The 15 full papers and 3 short papers included in this book were carefully reviewed and selected from 45 submissions. They focus on various aspects of application of modern methods of data science to the analysis of software quality.
Swarm Intelligence for Iris Recognition
Swarm intelligence has been one of the methods of natural computing that falls under the artificial intelligence. The swarm intelligence is the winning algorithm since it searches for the genuine user effectively and tolerates with high noise in the iris template during the matching process in the iris recognition.
Python for Machine Learning
In a world driven by data, the synergy of programming and machine learning has transformed how we perceive and interact with information. Welcome to "Python for Machine Learning," a comprehensive guide designed to empower both beginners and experienced programmers with the tools to harness the power of Python in the realm of machine learning. Machine learning, once considered a futuristic concept, has evolved into an essential discipline that powers everyday applications, from personalized recommendations to self-driving cars. At the heart of this revolution lies Python, a versatile and approachable programming language that has become the lingua franca of machine learning practitioners. Our goal is not only to teach you the syntax and mechanics of Python for machine learning, but also to cultivate a deeper understanding of the underlying principles. As you progress through this book, you will develop the ability to think critically about data, algorithms, and their applications.
Junior to Senior
As a programmer, you've spent plenty of time learning technical and programming skills. Junior engineers-and even some who have been in it a long time-must constantly focus on improving their "hard" technical skills.But writing code is only part of our job as software developers. It's equally essential for developers to cultivate the soft skills critical for adding value for their team, their company, their customers, and their career-and it's often neglected.Junior to Senior is one of only a few books that gives practical advice on the soft skills needed to thrive as an engineer: Dealing with lack of confidenceLearning from others and by reading unfamiliar codeManaging your timeWorking effectively with your managerCommunicating clearly with business stakeholders and writing clear documentationUnderstanding different ways to add value for a company and its customersManaging risks and recovering from mistakesDealing with conflictBalancing the demands of work and personal life... and much more.Improvements in these areas are important milestones on the journey from junior to senior software developer. Junior to Senior is filled with insights, from one engineer to another, to guide you along that path.Whether you studied Computer Science, graduated from a coding bootcamp, or are a self-taught programmer, this book will help you manage yourself, build value, and earn the confidence of your team to take on roles with greater responsibility and impact.The print edition also includes a special upgrade offer for full digital access on Holloway.com, with lifetime access to free updates, extra online resources, and multiple DRM-free digital download formats. The ebook edition includes a special upgrade offer for the same access.
Fundamentals of Trace and Log Analysis
This book will help you analyze traces and logs from different software environments and communicate analysis results using a pattern language that covers everything from a small debugging log to a distributed trace with billions of messages from hundreds of computers, thousands of software components, threads, and processes. The book begins with the basic terminology of operating systems and programming, the foundation for understanding trace and log analysis. It then talks about patterns that help describe problems from a user's view and patterns for errors and failures. Then, the book covers a range of trace patterns that group messages, and explores how logs depict software activities. It even examines specific message patterns and how they connect in a single trace. Moving forward, you'll review patterns for multiple traces and logs and how to evaluate them. In this way, you can use similar methods to find problems across a wide variety of software. The book also provides guidance for analyzing issues on systems such as Windows, macOS, Linux, Android, iOS, and other types of computers, including those in networks and the Internet of Things, regardless of their system differences. Upon completing this book, you will be able to navigate the complexities of trace and log analysis and apply uniform diagnostics and anomaly detection pattern language across diverse software environments to help you troubleshoot, debug, and fix issues. What You Will Learn Understand pattern language for trace and log analysisGain a pattern-oriented methodology for trace and log analysis applicable to various domains, including cybersecurityMaster the fundamentals of operating systems and programming related to trace and log analysisUnderstand observed behavior in traces and logs, which aids incident response, diagnostics, root cause analysis, troubleshooting, and debugging Who This Book Is For Software technical support engineers, system and network administrators, software developers, testers, DevOps and DevSecOps, digital forensics and malware analysts, security incident response engineers, data analysts, and data mining practitioners.
Procedural Programming with PostgreSQL Pl/Pgsql
Learn the fundamentals of PL/PGSQL, the programming language of PostgreSQL which is most robust Open Source Relational Database. This book provides practical insights into developing database code objects such as functions and procedures, with a focus on effectively handling strings, numbers, and arrays to achieve desired outcomes, and transaction management.The unique approach to handling Triggers in PostgreSQL ensures that both functionality and performance are maintained without compromise. You'll gain proficiency in writing inline/anonymous server-side code within the limitations, along with learning essential debugging and profiling techniques. Additionally, the book delves into statistical analysis of PL/PGSQL code and offers valuable knowledge on managing exceptions while writing code blocks. Finally, you'll explore the installation and configuration of extensions to enhance the performance of stored procedures and functions.What You'll LearnUnderstand the PL/PGSQL conceptsLearn to debug, profile, and optimize PL/PGSQL codeStudy linting PL/PGSQL codeReview transaction management within PL/PGSQL codeWork with developer friendly features like operators, casts, and aggregatorsWho Is This Book ForApp developers, database migration consultants, and database administrators.
Use of the SOLID principles with the IEC 61131-3
SOLID principles are an essential part of object-oriented software development and have proven to be valuable tools for developing clean, maintainable and extensible code. In industrial automation engineering, especially in programming controllers with IEC 61131-3, it is of particular importance to develop robust and reliable systems. In this book, SOLID principles are presented in detail and explained with examples in IEC 61131-3. It also illustrates how the application of these principles improves the maintainability, extensibility, and reliability of software systems. In addition to the SOLID principles, the principles KISS, DRY, LoD and YAGNI are also presented. These do not belong to the group of SOLID principles, but they are a helpful addition.
Go Crazy
Go beyond the basics of Go and build complete applications using open-source libraries or the Go programming language by Google. This book will take you deep into the memory lane of the Go language with crunchy details straight from outer space.The applications in this book include the framework for a 2D Go-based game, an image random generator Rest API, financial time series handling for trading, a Kubernetes operator, a Blockchain coding and more. You'll also get refreshers on Go constructs and useful code tricks to build performant projects, and develop an HTTP based cloud ready image generator. Each chapter will be organized in the following format: what the particular application looks like; requirements and user stories of our example program; an introduction to the Go libraries or frameworks used; and the actual implementation of the example program, including common pitfalls and their solutions. Go Crazy will open your eyes to anew world of practical applications for Go. After reading the book, you will be able to apply your Golang knowledge to build your own crazy projects. Free source code will be available on this book's Apress GitHub page. What You'll Learn Compile and inline other programming languages, including GPU coding.Handle Kubernetes clusters via your own operator Write Go to code against Ethereum based block chains. Write intelligent bot code to get you rich and famous. Who This Book Is ForGo programmers both experienced and novice.
Refactoring with C#
Learn how to improve the maintainability of C# code using modern tools and techniques to resolve technical debt while working safely and efficiently with legacy codeKey Features: - Apply a wide range of refactoring techniques using the latest tools and features of C#- Discover ways to safely improve your code using tests, Roslyn analyzers, and AI assistance- Find ways of communicating technical debt and improving your code in agile and enterprise settings- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Software projects start as brand-new greenfield projects, but invariably become muddied in technical debt far sooner than you'd expect. In Refactoring with C#, you'll explore what technical debt is and how it arises before walking through the process of safely refactoring C# code using modern tooling in Visual Studio and more recent C# language features using C# 12 and .NET 8. This book will guide you through the process of refactoring safely through advanced unit testing with XUnit and libraries like Moq, Snapper, and Scientist .NET. You'll explore maintainable code through SOLID principles and defensive coding techniques made possible in newer versions of C#. You'll also find out how to run code analysis and write custom Roslyn analyzers to detect and resolve issues unique to your code.The nature of coding is changing, and you'll explore how to use AI with the GitHub Copilot Chat to refactor, test, document, and generate code before ending with a discussion about communicating technical debt to leadership and getting organizational buy-in to refactor your code in enterprise organizations and in agile teams.By the end of this book, you'll understand the nature of refactoring and see how you can safely, effectively, and repeatably pay down the technical debt in your application while adding value to your business.What You Will Learn: - Understand technical debt, its causes and effects, and ways to prevent it- Explore different ways of refactoring classes, methods, and lines of code- Discover how to write effective unit tests supported by libraries such as Moq- Understand SOLID principles and factors that lead to maintainable code- Use AI to analyze, improve, and test code with the GitHub Copilot Chat- Apply code analysis and custom Roslyn analyzers to ensure that code stays clean- Communicate tech debt and code standards successfully in agile teamsWho this book is for: This book is for any developer familiar with C# who wants to improve the code they work with on a day-to-day basis. While this book will be most beneficial to new developers with only a year or two of experience, even senior engineers and engineering managers can make the most of this book by exploring not just the process of refactoring, but advanced techniques with libraries like Moq, Snapper, Scientist .NET, and writing custom Roslyn analyzers.Table of Contents- Technical Debt, Code Smells, and Refactoring- Introduction to Refactoring- Method-Level Refactorings- Class-Level Refactorings- Code-Level Refactorings- Unit Testing- Test Driven Development- Avoiding Code Anti-Patterns with SOLID- Advanced Unit Testing- Defensive Coding Techniques- AI-Assisted Refactoring with GitHub Copilot- Code Analysis in Visual Studio- Creating a Roslyn Analyzer- Refactoring Code with Roslyn Analyzers- Communicating Technical Debt- Adopting Code Standards- Agile Refactoring
Parallel Python with Dask
Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data ScientistsDask has revolutionized parallel computing for Python, empowering data scientists to accelerate their workflows. This comprehensive guide unravels the intricacies of Dask to help you harness its capabilities for machine learning and data analysis.Across 10 chapters, you'll master Dask's fundamentals, architecture, and integration with Python's scientific computing ecosystem. Step-by-step tutorials demonstrate parallel mapping, task scheduling, and leveraging Dask arrays for NumPy workloads. You'll discover how Dask seamlessly scales Pandas, Scikit-Learn, PyTorch, and other libraries for large datasets.Dedicated chapters explore scaling regression, classification, hyperparameter tuning, feature engineering, and more with clear examples. You'll also learn to tap into the power of GPUs with Dask, RAPIDS, and Google JAX for orders of magnitude speedups.This book places special emphasis on practical use cases related to scalability and distributed computing. You'll learn Dask patterns for cluster computing, managing resources efficiently, and robust data pipelines. The advanced chapters on DaskML and deep learning showcase how to build scalable models with PyTorch and TensorFlow.With this book, you'll gain practical skills to: Accelerate Python workloads with parallel mapping and task schedulingSpeed up NumPy, Pandas, Scikit-Learn, PyTorch, and other librariesBuild scalable machine learning pipelines for large datasetsLeverage GPUs efficiently via Dask, RAPIDS and JAXManage Dask clusters and workflows for distributed computingStreamline deep learning models with DaskML and DL frameworksPacked with hands-on examples and expert insights, this book provides the complete toolkit to harness Dask's capabilities. It will empower Python programmers, data scientists, and machine learning engineers to achieve faster workflows and operationalize parallel computing.Table of ContentIntroduction to DaskDask FundamentalsBatch Data Parallel Processing with DaskDistributed Systems and DaskAdvanced Dask: APIs and Building BlocksDask with PandasDask with Scikit-learnDask and PyTorchDask with GPUsScaling Machine Learning Projects with Dask
SwiftUI for Masterminds 4th Edition
Learn how to create apps for iOS 17 and macOS Sonoma with Swift 5.9 and the SwiftUI framework.SwiftUI for Masterminds is a complete course on creating professional applications for iPhones, iPads, and Mac computers. After reading this book, you will know how to program in Swift, how to design user interfaces, and how to combine traditional frameworks with SwiftUI's advanced features to create modern applications.In this book, we show you how to build insanely great apps from scratch. We explore basic and complex concepts; from computer programming and the Swift programming language to database storage, data sharing, and everything you need to know to develop applications for Apple devices. The information is backed up by practical examples that provide a step-by-step introduction to the latests technologies available for app development, making them accessible to everyone.SwiftUI for Masterminds is designed to prepare you for the future and was written for the genius in you, for Masterminds. Introduction to Swift 5.9Swift ParadigmSwift ConcurrencySwiftDataDeclarative User InterfacesSwiftUI FrameworkMultiplatform ApplicationsNavigation StacksNavigation Split ViewsCustom LayoutsScroll ViewsLists and GridsTablesMapsFormsGraphics and AnimationsChartsFilesArchivingDocumentsiCloudCloudKitCamera and PhotosVideo ViewWeb ViewGesture RecognizersDrag & DropNotificationsInternationalization and LocalizationUIKit in SwiftUI...and more!iOS and Mac development with iOS 17, Xcode 15, Swift 5.9 and SwiftUI
Mental Canvas for Training and Development
​Take advantage of layering and other digital techniques to create stunning, interactive compositions suitable for delivering instructional content and presentations on your iOS or Android device. This book shows you how to move from traditional paper and pen drawing to 3D content that can be interacted with by the viewer. Designed to be used on tablets, the Mental Canvas app is a reimagining of presentation software in the digital age that uses patented technology developed by a research team at Yale University. Whether producing concept drawings, storyboards, tutorials, sales presentations, or other forms of interactive media, you'll learn the skills to transform boring presentations into something exciting and new! You'll create stunning panoramic views; allow viewers to move through your artwork with multiple scenes; publish to the web for viewing on any smart phone, tablet, or computer; import image files; and export animated fly-throughs as .mp4files. Mental Canvas can be used by individual creatives or as part of a collaborative design team sharing files between multiple devices giving global instructional design firms an edge over their competition. Provide fun, interactive, and engaging presentations and throw out those boring click-through, static presentations of the past. Business Dashboards, Organizational About Us pages, Sales presentations - virtually whatever the organization's creatives can think up you'll learn to develop in Mental Canvas!What You'll LearnUse layering to create stunning 3D effects in an otherwise static 2D imageImport and adapt existing images into your dynamic presentationCreate .mp4 fly-throughs that bring websites and presentations to life with videoWho This Book Is ForAny creative who wishes to build engaging and interactive presentations with their iOS or Android device.
UX Lifecycle
This book is for business leaders looking to build software that creates better business outcomes by delivering effective product experiences. Over the last decade one of the biggest trends in technology has been a growing appreciation for the User Experience (UX). UX Lifecycle provides a UX methodology framework for implementing continuous improvement within organizations. It will help to address the basics such as defining what UX is; the importance of research; how UX is a process and not a job title; and where business value comes from improving efficiency, effectiveness, and satisfaction. At the heart of the UX process is the most important stakeholder - the user. This book will help you create the business case, education, processes, skills, tools, and the philosophy to deliver effective and enjoyable user experiences. These in turn will drive success in the modern software-enabled organization. Includes key considerations for creating a business case for UX within their organization and engaging senior business roles around the necessary business change required.
Automata
This book provides an in-depth analysis of classical automata theory, including finite automata, pushdown automata, and Turing machines. It also covers current trends in automata theory, such as jumping, deep pushdown, and regulated automata. The book strikes a balance between a theoretical and practical approach to its subject by presenting many real world applications of automata in a variety of scientific areas, ranging from programming language processing through natural language syntax analysis up to computational musicology.In Automata: Theories, Trends and Applications all formalisms concerning automata are rigorously introduced, and every complicated mathematical passage is preceded by its intuitive explanation so that even complex parts of the book are easy to grasp. The book also demonstrates how automata underlie several computer-science engineering techniques.This monograph is a useful reference for scientists working in the areas of theoretical computer science, computational mathematics, computational linguistics, and compiler writing. It may also be used as a required text in classes dealing with the theory and applications of automata, and theory of computation at the graduate level. This book comes with access to a website which supplies supplementary material such as exercises with solutions, additional case studies, lectures to download, teaching tips for instructors, and more.
Using Metering to Perform Energy Management
This book will cover many helpful analysis tools and processes to help energy managers administer their energy program through their meter management system.
Agile Processes in Software Engineering and Extreme Programming - Workshops
This open access book constitutes papers from the research workshops presented at XP 2022 and XP 2023, respectively the 23rd and 24th International Conferences on Agile Software Development, held on June 13-17, 2022 at the IT University of Copenhagen, Denmark and June 13-16, 2023 in Amsterdam, Netherlands. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. In 2022, the following workshops took place: ● 3rd International Workshop on Agility with Microservices Programming● 2nd International Workshop on Agile Sustainability● Agile and EducationIn 2023, six workshops were held: ● Workshop on Organisational Debt and Large-Scale Agile● Workshop on Software-Intensive Business● Workshop on Global and Hybrid Work● Workshop on Fear-Based Agile Transformation● Workshop on AI-assisted Agile● Workshop on Agile-Quantum Software Engineering In 2022, 6 workshop papers were accepted for publication in these post-proceedings, out of 11 submissions, and in 2023, 15 papers were accepted for publication out of 38 submissions.
Intelligent Robotics and Applications
The 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5-7, 2023.The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows: Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application.Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot.Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots.Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots.Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots.Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics.Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction.Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms.Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.
Quantum Software Engineering
This book presents a set of software engineering techniques and tools to improve the productivity and assure the quality in quantum software development. Through the collaboration of the software engineering community with the quantum computing community new architectural paradigms for quantum-enabled computing systems will be anticipated and developed.The book starts with a chapter that introduces the main concepts and general foundations related to quantum computing. This is followed by a number of chapters dealing with the quantum software engineering methods and techniques. Topics like the Talavera Manifesto for quantum software engineering, frameworks for hybrid systems, formal methods for quantum software engineering, quantum software modelling languages, and reengineering for quantum software are covered in this part. A second set of chapters then deals with quantum software environments and tools, detailing platforms like QuantumPath(R), Classiq as well as quantum software frameworks for deep learning. Overall, the book aims at academic researchers and practitioners involved in the creation of quantum information systems and software platforms. It is assumed that readers have a background in traditional software engineering and information systems.
Service-Oriented and Cloud Computing
This book constitutes the constitutes the refereed proceedings of the 10th IFIP WG 6.12 European Conference on Service-Oriented and Cloud Computing, ESOCC 2023, held in Larnaca, Cyprus, during October 24-26, 2023. The 12 full papers and 4 short papers included in this book were carefully reviewed and selected from 40 submissions. They were organized in topical sections as follows: Microservices; Quality of Service; Service Orchestration; Edge Computing; PhD Symposium; and Industry Projects Track.
Service-Oriented Computing
This book constitutes the refereed proceedings of the 17th Symposium and Summer School, SummerSOC 2023, held in Heraklion, Crete, Greece, in June 25-July 1, 2023.The 6 full papers and 3 short papers presented in this book were carefully reviewed and selected from 27 submissions.They are organized in the following sections as follows: Distributed Systems; Smart; and Mixed Technologies.
Design Patterns using Python
Design Patterns Using PythonBy Hemant JainIn a world where most design pattern books are focused on languages like C++ and Java, Design Patterns Using Python stands out by leveraging the simplicity and versatility of Python. With its clear and concise syntax, Python not only simplifies the implementation of design patterns but also makes them more intuitive and accessible. This book highlights how Python's dynamic capabilities can reduce the complexity of traditional patterns, often requiring fewer lines of code to achieve the same functionality.Design Patterns Using Python takes you on an enlightening journey through the world of software design patterns, demonstrating how to effectively implement them using Python. Beginning with a deep dive into the fundamental goals of design patterns and the SOLID principles, this book covers the 24 classic "Gang of Four" (GoF) patterns comprehensively. It categorizes patterns into: Creational PatternsLearn how to create objects in a manner that suits your system's needs, promoting flexibility and reuse. Patterns such as Singleton, Factory, and Builder are implemented with Python's unique advantages.Structural PatternsUnderstand how to compose classes and objects to form larger structures, ensuring your systems are scalable and maintainable. Key patterns like Adapter, Composite, and Proxy are explored with Python's powerful data structures.Behavioral PatternsMaster the communication and interaction between objects. Patterns like Observer, Command, and Strategy are implemented to show how Python's design can simplify code management and adaptability.Beyond the classic patterns, Design Patterns Using Python also delves into Concurrency Patterns and Architectural Patterns, critical for building high-performance, scalable applications. Additionally, the book emphasizes the significance of Anti-Patterns-common mistakes or ineffective approaches-and teaches how to recognize and avoid them.Why This Book?This book is not just about writing code; it's about designing software with purpose and clarity. It serves both experienced developers who want to enhance their design skills and newcomers eager to learn how to build more maintainable, efficient software from the ground up.By mastering these patterns, you'll gain the tools to: Write cleaner, more efficient Python codeCreate flexible, scalable applicationsBuild systems that are easier to maintain and extendAvoid common pitfalls and anti-patternsImplement industry-proven design strategiesWhether you're refining your coding skills or exploring design patterns for the first time, Design Patterns Using Python will empower you to design and develop better software with confidence. Unlock Python's potential as a design tool and elevate your programming to the next level. Bulk Order and Contact InformationFor bulk orders, visit: www.taaran.inExplore more on GitHub: https: //github.com/Hemant-Jain-Author Don't just code-design with purpose. Empower your development journey with the right tools and best practices for crafting powerful Python applications!
Making Sense of Programming Algorithms Foundations
Unleash the power of algorithms and transform your programming skills!In today's tech-driven world, mastering algorithms is a brilliant way to boost your career, pick up a fun new hobby, and stay at the forefront of innovation. But where do you start if you are a complete beginner?Making Sense of Programming Algorithms Foundations is a deeply practical handbook that empowers readers to unleash the power of algorithms with real-world examples and easy-to-digest lessons. Specially written by seasoned IT professional Robert Setiadi, PhD, this guide walks you through the fundamentals of algorithms, revealing how you can master the essentials of coding and become a problem-solving virtuoso.Specially written with handy illustrations and pseudocodes that suit beginner and experienced programmers alike, this book reveals the secret to designing efficient algorithms for a diverse set of challenges. Readers will explore the world of divide and conquer technique, greedy algorithms, dynamic programming, search tree traversal, and many others.Here is just a little of what you will discover inside: Abstract data typesDivide and conquer, greedy algorithm, dynamic programmingHuffman coding, search tree, branch and boundBig O complexity analysisTest coverageTopics beyond basic, including brief introduction to artificial intelligenceand much more...This book is a must-read for students, aspiring programmers, experienced software developers revisiting the basics, or anyone who wants to understand how algorithms work.
Excel VBA in Easy Steps
Excel VBA in easy steps, 4thedition neatly demonstrates VBA (Visual Basic for Applications)Macro programming in a clear and concise manner, so you can get more from thepopular Microsoft Excel spreadsheet application. This 4th edition isupdated for Microsoft 365. Areas covered include: Recording and editing Macros Creating your own Macro programs Coding with the VBA language Responding to Worksheet events Programming Excel procedures Making "DataForms" for data editing Producing "UserForms" for data entry Displaying dynamic Charts Sharing your Excel apps to impress yourcolleagues! Use this guide to learn the key featuresconstructively and get more out of Microsoft Excel - in easysteps!
Serverless as a Game Changer
Leverage the "serverless mindset" to build and deploy software faster, better, and with less expense. In this definitive guide, Joseph Emison shows how to leverage "serverless" for maximum customer value. He reveals why mindset is crucial to modern IT strategy and explains why and how to move toward a truly serverless mindset. Many organizations are falling short when it comes to leveraging the cloud. Drawing on his experience as a pioneering CTO across multiple industries, Emison shows why and how you can gain immense business value from the cloud. While many serverless adopters focus on converting and building apps on serverless compute platforms like AWS Lambda, Emison offers better ways to think about your tech stack, optimize build-or-buy decisions, choose the right vendor for each commercial off-the-shelf (COTS) or open-source solution, and draw on the industry's best managed services. To help you develop a serverless mindset, Emison includes a case study demonstrating a real-world enterprise transition to serverless. The author also provides an exclusive directory of current managed services with focused descriptions and concise explanations of each service and its role in modern application architecture. Many of these services are unfamiliar to enterprise architects, but they are enterprise tested and can radically simplify any serverless transition. Evolve your tech stack and mindset to gain the full benefits of the cloud Deliver software faster, better, and at lower cost with serverless Use serverless architectures and managed services to offload tasks that don't add value Follow a real-world case study taking you from where you are to where you want to be Explore an exclusive managed services directory to find resources to streamline your serverless transition Transform your mindset and organization by leveraging serverless architecture to change the game and win it. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Modern Software Engineering
Improve Your Creativity, Effectiveness, and Ultimately, Your Code In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: learning and exploration and managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success. Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment. Clarify what you're trying to accomplish Choose your tools based on sensible criteria Organize work and systems to facilitate continuing incremental progress Evaluate your progress toward thriving systems, not just more "legacy code" Gain more value from experimentation and empiricism Stay in control as systems grow more complex Achieve rigor without too much rigidity Learn from history and experience Distinguish "good" new software development ideas from "bad" ones Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Runtime Verification
This book constitutes the refereed proceedings of the 23rd International Conference on Runtime Verification, RV 2023, held in Thessaloniki, Greece, during October 3-6, 2023. The 13 full papers and 7 short papers presented in this book together with 4 tutorial papers and 2 invited papers were carefully reviewed and selected from 39 submissions. The RV conference is concerned with all aspects of novel lightweight formal methods to monitor, analyze, and guide the runtime behavior of software and hardware systems. Runtime verification techniques are crucial for system correctness, reliability, and robustness; they provide an additional level of rigor and effectiveness compared to conventional testing and are generally more practical than exhaustive formal verification.
Using and Administering Linux: Volume 2
Learn to be a Linux sysadmin and an expert user of the Linux operating system, even with no previous Linux experience. This second edition of the popular and highly rated Linux self-study training course has been fully updated to Fedora Linux 37 with expanded and revised content and figures as well new chapters on the BTRFS file system, using Zram for swap, NetworkManager, automation with Ansible, and systemd.Like the previous version, this edition has been reviewed for technical accuracy by a highly respected Linux expert and will prepare you to manage complex systems with ease and equip you for a new career. It has also been reviewed by a student who took this course to ensure its readability and flow for those with little or no previous experience with Linux. This second volume builds upon what you learned in the first and depends upon the virtual network and virtual machine created there.You'll see how to manage and monitor running processes, discover the power ofthe special filesystems, monitor and tune the kernel while it is running - without a reboot. You'll then turn to regular expressions and the power that using them for pattern matching can bring to the command line, and learn to manage printers and printing from the command line and unlock the secrets of the hardware on which your Linux operating system is running.Experiment with command line programming and how to automate various administrative tasks, networking, and the many services that are required in a Linux system. Use the logs and journals to look for clues to problems and confirmation that things are working correctly, and learn to enhance the security of your Linux systems and how to perform easy local and remote backups. What You Will LearnUnderstand Logical Volume Management, using file managers, and special filesystemsExploit everything is a filePerform command line programming and basic automationConfigure printers and manage other hardwareManage system services with systemd, user management, security, and local and remote backups using simple and freely available tools Who This Book Is For Anyone who wants to continue to learn Linux in depth as an advanced user and system administrator at the command line while using the GUI desktop to leverage productivity.
Using and Administering Linux: Volume 3
In Using and Administering Linux: Volume 3 you'll work with multiple VMs on a single physical host to create a network in which to sharpen your sysadmin skills. Chapters have been fully updated to Fedora Linux 38 with expanded content and figures as well brand new material on the BTRFS file system, using Zram for swap, NetworkManager, automation with Ansible, as well as systemd.Focusing on network and other advanced services, this second edition of the final series volume builds upon the skills you have learned so far in volumes 1&2 and will depend upon the virtual network and VMs created there. Start by reviewing the administration of Linux servers and install and configure various Linux server services such as DHCP, DNS, NTP, and SSH server that will be used to provide advanced network services. You'll then learn to install and configure servers such as BIND for name services, DHCP for network host configuration, and SSH for secure logins to remote hosts. Other topics covered include public/private keypairs to further enhance security, SendMail and IMAP and antispam protection for email, using Apache and WordPress to create and manage web sites, NFS, SAMBA, and Chrony. This volume also covers SELinux and its use in making your systems even more secure., You will learn to build RPMs to be used to distribute automation scripts. All of these services are installed on a single server host over the course of the book and by the time you are finished you will have a single server that provides these services for your network. What You Will LearnInstall, configure, and manage several Linux server services such as email with spam management and single and multiple web sitesWork with NTP time synchronization, DHCP, SSH, and file sharing with Unix/Linux and Windows clientsCreate RPMs for distribution of scripts and administrative programs.Understand and work withenhanced security. Who This Book Is ForThose who are already Linux power users - SysAdmins who can administer Linux workstation hosts that are not servers - who want to learn to administer the services provided by Linux servers such as web, time, name, email, SSH, and more.
Programming in Two Semesters
This highly accessible textbook teaches programming from first principles. In common with many programming courses, it uses Python as the introductory programming language before going on to use Java as the vehicle for more advanced programming concepts. The first part, which teaches Python, covers fundamental programming concepts, such as data types and control structures and functions. It introduces more complex data types such as lists and dictionaries and also deals with file handling. It introduces object-oriented concepts and ends with a case study bringing together all the topics of the first semester. The second part uses Java to teach advanced concepts and centres around object-oriented programming, teaching key object-oriented concepts such as inheritance and polymorphism. The semester again ends with an advanced case study bringing together all the topics of the second semester. Topics and features: Assumes no prior knowledge, and makes the transition from Python to Java a smooth process Features numerous exercises and also an illustrative case study for each language Examines procedural and object-oriented methodologies, as well as design principles Covers such advanced topics as interfaces and lambda expressions, exceptions and Collections Includes a chapter on graphics programming in Python using Tkinter Introduces the latest Java technology for graphical interfaces, JavaFX Explains design concepts using UML notation Offering a gentle introduction to the field and assuming no prerequisite background, Programming in Two Semesters is the ideal companion to undergraduate modules in software development or programming. In addition, it will serve as a strong primer for professionals looking to strengthen their knowledge of programming with these languages.
Learn Data Mining Through Excel
Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Most software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help, and this book will show you exactly how. This updated edition demonstrates how to work with data in a transparent manner using Excel. When you open an Excel file, data is visible immediately and you can work with it directly. You'll see how to examine intermediate results even as you are still conducting your mining task, offering a deeper understanding of how data is manipulated, and results are obtained. These are critical aspects of the model construction process that are often hidden in software tools and programming language packages. Over the course of Learn Data Mining Through Excel, you will learn the data mining advantages the application offers when the data sets are not too large. You'll see how to use Excel's built-in features to create visual representations of your data, enabling you to present your findings in an accessible format. Author Hong Zhou walks you through each step, offering not only an active learning experience, but teaching you how the mining process works and how to find hidden patterns within the data. Upon completing this book, you will have a thorough understanding of how to use an application you very likely already have to mine and analyze data, and how to present results in various formats. What You Will Learn Comprehend data mining using a visual step-by-step approachGain an introduction to the fundamentals of data miningImplement data mining methods in ExcelUnderstand machine learning algorithmsLeverage Excel formulas and functions creativelyObtain hands-on experience with data mining and Excel Who This Book Is For Anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.
Hands-On Application Development with PyCharm - Second Edition
Unleash the power of PyCharm to craft business, scientific, and web applications in Python with this definitive guideKey Features: Learn basic to advanced PyCharm concepts to improve developer efficiency on your Python projectsLearn with practical examples that focus on efficient application developmentExplore features such as code automation, graphical debugging, and remote developmentPurchase of the print or Kindle book includes a free PDF eBookBook Description: In the quest to develop robust, professional-grade software with Python and meet tight deadlines, it's crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you'll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers.To achieve that, you'll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts. The book comprehensively covers topics ranging from installation and customization to web development, database management, and data analysis pipeline development helping you become proficient in Python application development in diverse domains.By the end of this book, you'll have discovered the remarkable capabilities of PyCharm and how you can achieve a new level of capability and productivity.What You Will Learn: Explore basic and advanced PyCharm featuresSet up, configure, and customize your Python projects in PyCharmDevelop web applications with Flask, Django, FastAPI, and PyramidDiscover PyCharm's capabilities for database management and data visualizationExplore code automation, debugging, and remote development in PyCharmPerform data science tasks using Jupyter notebooks, NumPy, and pandasWho this book is for: This book is for Python practitioners and learners looking to boost their productivity and proficiency by harnessing the features and capabilities of PyCharm, all while gaining insights into best practices for modern application development. Basic knowledge of Python is required, making the book accessible to both newcomers and experienced Python developers.
Modern Software Testing Techniques
Many books have been written about software testing, but most of them discuss the general framework of testing from a traditional perspective. Unfortunately, traditional test design techniques are often ineffective and unreliable for revealing the various kinds of faults that may occur. This book introduces three new software testing techniques: Two-Phase Model-Based Testing, the Action-State Testing, and the General Predicate Testing, all of which work best when applied with efficient fault revealing capabilities. You'll start with a short recap of software testing, focusing on why risk analysis is obligatory, how to classify bugs practically, and how fault-based testing can be used for improving test design. You'll then see how action-state testing merges the benefits of state transition testing and use case testing into a unified approach. Moving on you'll look at general predicate testing and how it serves as an extension of boundary value analysis, encompassing morecomplex predicates. Two-phase model-based testing represents an advanced approach where the model does not necessarily need to be machine-readable; human readability suffices. The first phase involves a high-level model from which abstract tests are generated. Upon manual execution of these tests, the test code is generated. Rather than calculating output values, they are merely checked for conformity. The last part of this book contains a chapter on how developers and testers can help each other and work as a collaborative team. What You'll LearnApply efficient test design techniques for detecting domain faultsWork with modeling techniques that combine all the advantages of state transition testing and uses case testingGrasp the two-phase model-based testing technique Use test design efficiently to find almost all the bugs in an applicationWho This Book Is ForSoftware developers, QA engineers, and, business analysts
Advanced Parallel Processing Technologies
This book constitutes the refereed proceedings of the 15th International Symposium on Advanced Parallel Processing Technologies, APPT 2023, held in Nanchang, China, during August 4-6, 2023.The 23 full papers and 1 short papers included in this book were carefully reviewed and selected from 49 submissions. They were organized in topical sections as follows: High Performance Computing and Parallelized Computing, Storage Systems and File Management, Networking and Cloud Computing, Computer Architecture and Hardware Acceleration, Machine Learning and Data Analysis, Distinguished Work from Student Competition.
Writing In-House Medical Device Software in Compliance with Eu, Uk, and Us Regulations
This book is a comprehensive guide to producing medical software for routine clinical use.
IOS Development at Scale
Scale mobile applications to handle an enormous user base and development team. This book outlines the scaling challenges that mobile engineers face and some standard techniques and design patterns to deal with those issues. You already know the basics of iOS development, but how do you learn the key concepts and patterns to scale a mobile application? You'll start by learning the fundamentals of the iOS platform often overlooked when using out-of-the-box iOS solutions. While standard iOS solutions might work at a small scale, the most prominent tech companies reinvent these for highly customized usage, making understanding the underlying concepts crucial. Understanding these concepts reduces ramp-up time and allows engineers to understand the "why" intuitively. Having mastered the fundamentals, you'll next focus on architecture and design principles to build, maintain, and release features within a large codebase and the soft skills to enact change in a larger organization. You'll be empowered with a deeper understanding of iOS design patterns and the industry knowledge necessary to take their features from idea to production. You'll also study the people skills to get things done in a large organization--a critical step to growing one's career.Upon completing iOS Development at Scale, you'll understand the solutions and tradeoffs you can leverage to build better applications and grow your career.What You'll LearnApply computer science and engineering fundamentals to the iOS platformImplement knowledge of iOS architecture and best practices at large-scale companiesIdentify current gaps in your product and gain alignment within the broader organizationSolve problems with knowledge of systems architecture and industry best practices to identify and address gaps in your codebaseWho This Book Is ForiOS software engineers and mobile engineer managers. Additionally, any software engineer, manager, or business stakeholder wanting to learn more about mobile development and the challenges that mobile engineers face.
