Computer og IT

Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.

The objective of this book is to provide you with extensive knowledge of AutoCAD, whether you are taking an instructor-led course or learning on your own. AutoCAD 2022 Instructor maintains the pedagogy and in-depth coverage that have always been the hallmark of the Leach texts.

Take to the (virtual) skies with help from Microsoft Flight SimulatorMicrosoft Flight Simulator has offered a great way to fly aircraft of all sizes without ever leaving the ground for nearly 40 years. With help from Microsoft Flight Simulator For Dummies, you'll take to the skies in everything from tiny two-seaters to huge commercial airliners. Plot your course and deal with realistic wind and weather as you fly pond hoppers, 747s, and everything in between all around the world.In this book, you'll learn how to:* Start with getting a feel for the controls of a small plane before moving on to larger airliners* Get familiar with the instrument panels of all sorts of planes* Deal with virtual emergencies, dynamic weather, Maydays, and more!Great for anyone just getting started with Microsoft Flight Simulator, Microsoft Flight Simulator For Dummies is also the perfect book for existing players looking to get the most out of their time with this awesome game.

Provides a overview of the agile development process that serves as a introduction for non-technical readers.

Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes.In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code.Learn why types are essential in modern development ecosystemsUnderstand how type choices such as classes, dictionaries, and enums reflect specific intentsMake Python extensible for the future without adding bloatUse popular Python tools to increase the safety and robustness of your codebaseEvaluate current code to detect common maintainability gotchasBuild a safety net around your codebase with linters and tests

For coursesin Business Data Communication and Networking.Anintroduction to computer networking grounded in real-world examplesIn Computer Networks,Tanenbaum et al. explain how networks work from the inside out. They start withthe physical layer of networking, computer hardware and transmission systems,then work their way up to network applications. Each chapter follows aconsistent approach: The book presents key principles, then illustrates themutilizing real-world example networks that run through the entire book theInternet, and wireless networks, including Wireless LANs, broadband wireless,and Bluetooth. The 6th Edition is updated throughout to reflect the mostcurrent technologies, and the chapter on network security is rewritten to focuson modern security principles and actions. Tutorial videos on key networkingtopics and techniques are available to students on the companion website at www.pearsonglobaleditions.com Instructors are supported with a SolutionsManual to end-of-chapter exercises featured in the book, LecturePowerPoint slides, and extracted art and figures featured in thebook.

With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.Learn the key steps for preparing your data for analysisPerform time series analysis using SQL's date and time manipulationsUse cohort analysis to investigate how groups change over timeUse SQL's powerful functions and operators for text analysisDetect outliers in your data and replace them with alternate valuesEstablish causality using experiment analysis, also known as A/B testing

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start.You'll discover how to:Apply DevOps best practices to machine learningBuild production machine learning systems and maintain themMonitor, instrument, load-test, and operationalize machine learning systemsChoose the correct MLOps tools for a given machine learning taskRun machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware

Whether you're searching for new or additional opportunities, information security can be vast and overwhelming. In this practical guide, author Christina Morillo introduces technical knowledge from a diverse range of experts in the infosec field. Through 97 concise and useful tips, you'll learn how to expand your skills and solve common issues by working through everyday security problems.You'll also receive valuable guidance from professionals on how to navigate your career within this industry. How do you get buy-in from the C-suite for your security program? How do you establish an incident and disaster response plan? This practical book takes you through actionable advice on a wide variety of infosec topics, including thought-provoking questions that drive the direction of the field.Continuously Learn to Protect Tomorrow's Technology - Alyssa ColumbusFight in Cyber Like the Military Fights in the Physical - Andrew HarrisKeep People at the Center of Your Work - Camille StewartInfosec Professionals Need to Know Operational Resilience - Ann JohnsonTaking Control of Your Own Journey - Antoine MiddletonSecurity, Privacy, and Messy Data Webs: Taking Back Control in Third-Party Environments - Ben BrookEvery Information Security Problem Boils Down to One Thing - Ben SmithFocus on the WHAT and the Why First, Not the Tool - Christina Morillo

What's the answer to today's increasingly complex web applications? Micro-frontends. Inspired by the microservices model, this approach lets you break interfaces into separate features managed by different teams of developers. With this practical guide, Luca Mezzalira shows software architects, tech leads, and software developers how to build and deliver artifacts atomically rather than use a big bang deployment.You'll learn how micro-frontends enable your team to choose any library or framework. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Pick up this book and learn how to get started with this technological breakthrough right away.Explore available frontend development architecturesLearn how microservice principles apply to frontend developmentUnderstand the four pillars for creating a successful micro-frontend architectureExamine the benefits and pitfalls of existing micro-frontend architecturesLearn principles and best practices for creating successful automation strategiesDiscover patterns for integrating micro-frontend architectures using microservices or a monolith API layer

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.Google engineers Valliappa Lakshmanan, Martin Grner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.You'll learn how to:Design ML architecture for computer vision tasksSelect a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your taskCreate an end-to-end ML pipeline to train, evaluate, deploy, and explain your modelPreprocess images for data augmentation and to support learnabilityIncorporate explainability and responsible AI best practicesDeploy image models as web services or on edge devicesMonitor and manage ML models

Programming in Scala is the definitive book on Scala, the popular language for the Java platform that blends object-oriented and functional programming concepts into a unique and powerful tool for developers. The fifth edition has been updated to cover new features up to, and including, Scala version 3.0. The Scala language has been exploding in popularity in recent years. More than 54,000 copies of Programming in Scala have been sold since the first edition was published in 2008.

Updated and reworked to trim down the material into shorter, more focused one-hour lessons, this book contains numerous examples of syntax and detailed analysis of code to provide solid instruction for beginning programmers.

Make the Leap From Beginner to Intermediate in Python...Python Basics: A Practical Introduction to Python 3Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample ProjectsWhat should you learn about Python in the beginning to get a strong foundation? With Python Basics, you'll not only cover the core concepts you really need to know, but you'll also learn them in the most efficient order with the help of practical exercises and interactive quizzes. You'll know enough to be dangerous with Python, fast!Who Should Read This BookIf you're new to Python, you'll get a practical, step-by-step roadmap on developing your foundational skills. You'll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short, clear code samples. Our goal with this book is to educate, not to impress or intimidate.If you're familiar with some basic programming concepts, you'll get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into the meat and potatoes without sacrificing substance. If you have prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java, or Swift the numerous exercises within each chapter will fast-track your progress.If you're a seasoned developer, you'll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along.If you're a self-starter completely new to coding, you'll get practical and motivating examples. You'll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We'll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day!If you're looking to break into a coding or data-science career, you'll pick up the practical foundations with this book. We won't just dump a boat load of theoretical information on you so you can "sink or swim"-instead you'll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you'll always know what you can do with it in practical terms.If you're interested in teaching others "how to Python," this will be your guidebook. If you're looking to stoke the coding flame in your coworkers, kids, or relatives-use our material to teach them. All the sequencing has been done for you so you'll always know what to cover next and how to explain it. What Python Developers Say About The Book: "Go forth and learn this amazing language using this great book." - Michael Kennedy, Talk Python"The wording is casual, easy to understand, and makes the information flow well." - Thomas Wong, Pythonista"I floundered for a long time trying to teach myself. I slogged through dozens of incomplete online tutorials. I snoozed through hours of boring screencasts. I gave up on countless crufty books from big-time publishers. And then I found Real Python. The easy-to-follow, step-by-step instructions break the big concepts down into bite-sized chunks written in plain English. The authors never forget their audience and are consistently thorough and detailed in their explanations. I'm up and running now, but I constantly refer to the material for guidance." - Jared Nielsen, Pythonista

The practical implications of technical debt for the entire software lifecycle; with examples and case studies.Technical debt in software is incurred when developers take shortcuts and make ill-advised technical decisions in the initial phases of a project, only to be confronted with the need for costly and labor-intensive workarounds later. This book offers advice on how to avoid technical debt, how to locate its sources, and how to remove it. It focuses on the practical implications of technical debt for the entire software life cycle, with examples and case studies from companies that range from Boeing to Twitter. Technical debt is normal; it is part of most iterative development processes. But if debt is ignored, over time it may become unmanageably complex, requiring developers to spend all of their effort fixing bugs, with no time to add new features--and after all, new features are what customers really value. The authors explain how to monitor technical debt, how to measure it, and how and when to pay it down. Broadening the conventional definition of technical debt, they cover requirements debt, implementation debt, testing debt, architecture debt, documentation debt, deployment debt, and social debt. They intersperse technical discussions with "Voice of the Practitioner" sidebars that detail real-world experiences with a variety of technical debt issues.

How to Reduce Code Complexity and Develop Software More Sustainably"Mark Seemann is well known for explaining complex concepts clearly and thoroughly. In this book he condenses his wide-ranging software development experience into a set of practical, pragmatic techniques for writing sustainable and human-friendly code. This book will be a must-read for every programmer."Scott Wlaschin, author of Domain Modeling Made FunctionalCode That Fits in Your Head offers indispensable, practical advice for writing code at a sustainable pace and controlling the complexity that causes projects to spin out of control. Reflecting decades of experience helping software teams succeed, Mark Seemann guides students from zero (no code) to deployed features and shows how to maintain a good cruising speed as they add functionality, address cross-cutting concerns, troubleshoot, and optimize. They'll find valuable ideas, practices, and processes for key issues ranging from checklists to teamwork, encapsulation to decomposition, API design to unit testing. Seemann illuminates his insights with code examples drawn from a complete sample project. Written in C#, they're designed to be clear and useful to anyone who uses any object-oriented language including Java , C++, and Python. To facilitate deeper exploration, all code and extensive commit messages are available for download.Choose mindsets and processes that work, and escape bad metaphors that don'tUse checklists to improve outcomes with skills already possessedGet past analysis paralysis by creating and deploying a vertical slice to an applicationCounteract forces that lead to code rot and unnecessary complexityMaster better techniques for changing code behaviorDiscover ways to solve code problems more quickly and effectivelyThink more productively about performance and securityRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Scary Smart explains tech and why we need to pay attention to it. From Mo Gawdat, international bestselling author of Solve for Happy.

In Continuous Architecture in Practice, three leading software architecture experts update the classic practices of the discipline for contemporary environments, software development contexts, and applications. Coverage includes: Discover what has changed, and how the role of the architect must change Reflect the quality attributes of today in evolvable architectures Understand team-based software architecture, and architecture as a GÇ£flow of decisionsGÇ¥ Architect for security, including continuous threat modeling and mitigation Explore architectural opportunities to improve performance in continuous delivery environments Architect for scalability, avoid common scalability pitfalls, and scale microservices and serverless environments Improve resilience and reliability in the face of inevitable failures Architect data for NoSQL, big data, and analytics Use architecture to promote innovation: case studies in AI/ML, chatbots, and blockchain

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development.Summary Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they’re easier to test and debug. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Developers rightly fear the unintended complexity that infects most code. This book shows you how to write software that keeps complexity close to its inherent minimum. As you write software you should distinguish between code that alters your system’s state, and code that does not. Once you learn to make that distinction, you can refactor much of your state-altering “actions” into stateless “calculations.” Your software will be simpler. About the book The book also teaches you to solve the complex timing bugs that inevitably creep into asynchronous and multithreaded code. In ad­vanced sections of the book you learn how composable abstractions help avoid repeating code and open up new levels of expressivity. What's inside     Patterns for simpler code     Powerful time modeling approaches to simplify asynchronous code     How higher-order functions can make code reusable and composable About the reader For intermediate and advanced developers building complex software. Exercises, illustrations, self-assessments, and hands-on examples lock in each new idea. About the author Eric Normand is an expert software developer who has been an influential teacher of functional programming since 2007. Table of Contents 1 Welcome to Grokking Simplicity 2 Functional thinking in action PART 1 - ACTIONS, CALCULATIONS, AND DATA 3 Distinguishing actions, calculations, and data 4 Extracting calculations from actions 5 Improving the design of actions 6 Staying immutable in a mutable language 7 Staying immutable with untrusted code 8 Stratified design, part 1 9 Stratified design, part 2 PART 2 - FIRST-CLASS ABSTRACTIONS 10 First-class functions, part 1 11 First-class functions, part 2 12 Functional iteration 13 Chaining functional tools 14 Functional tools for nested data 15 Isolating timelines 16 Sharing resources between timelines 17 Coordinating timelines 18 Reactive and onion architectures 19 The functional journey ahead