Computing

Right Your Software and Transform Your Career Righting Software presents the proven, structured, and highly engineered approach to software design that renowned architect Juval Löwy has practiced and taught around the world. Although companies of every kind have successfully implemented his original design ideas across hundreds of systems, these insights have never before appeared in print. Based on first principles in software engineering and a comprehensive set of matching tools and techniques, Löwy’s methodology integrates system design and project design. First, he describes the primary area where many software architects fail and shows how to decompose a system into smaller building blocks or services, based on volatility. Next, he shows how to flow an effective project design from the system design; how to accurately calculate the project duration, cost, and risk; and how to devise multiple execution options. The method and principles in Righting Software apply regardless of your project and company size, technology, platform, or industry. Löwy starts the reader on a journey that addresses the critical challenges of software development today by righting software systems and projects as well as careers–and possibly the software industry as a whole. Software professionals, architects, project leads, or managers at any stage of their career will benefit greatly from this book, which provides guidance and knowledge that would otherwise take decades and many projects to acquire. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

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A comprehensive introduction to mathematical and agent-based modeling of social behaviorThis book provides a unified, theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, teaching readers how to build their own models, analyze them, and integrate them with empirical research programs. It covers a variety of modeling topics, each exemplified by one or more archetypal models, and helps readers to develop strong theoretical foundations for understanding social behavior. Modeling Social Behavior equips social, behavioral, and cognitive scientists with an essential tool kit for thinking about and studying complex social systems using mathematical and computational models. Combines both mathematical and agent-based modeling of social behavior Integrates cognitive science, social science, and cultural evolution Covers topics such as the philosophy of modeling, collective movement, segregation, contagion, polarization, the evolution of cooperation, the emergence of norms, networks, and the scientific process Discusses more advanced topics, including how to use models to build a more robust empirical research program An ideal introductory textbook for graduate students or advanced undergraduates An invaluable resource for practitioners

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Java continues to grow and evolve, and this cookbook continues to evolve in tandem. With this guide, you’ll get up to speed right away with hundreds of hands-on recipes across a broad range of Java topics. You’ll learn useful techniques for everything from string handling and functional programming to network communication. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. If you’re familiar with Java basics, this cookbook will bolster your knowledge of the language and its many recent changes, including how to apply them in your day-to-day development. This updated edition covers changes through Java 12 and parts of 13 and 14. Recipes include: Blade, Laravel's powerful custom templating tool Methods for compiling, running, and debugging Packaging Java classes and building applications Manipulating, comparing, and rearranging text Regular expressions for string and pattern matching Handling numbers, dates, and times Structuring data with collections, arrays, and other types Object-oriented and functional programming techniques Input/output, directory, and filesystem operations Network programming on both client and server Processing JSON for data interchange Multithreading and concurrency Using Java in big data applications Interfacing Java with other languages

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Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters Deploy code faster using tools like Docker

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Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results. Starting by applying the underlying maximum likelihood principle of curve fitting to deep learning, readers will move on to using the Python-based Tensorflow Probability framework, and set up Bayesian neural networks that can state their uncertainties. Key Features · The maximum likelihood principle that underlies deep learning applications · Probabilistic DL models that can indicate the range of possible outcomes · Bayesian deep learning that allows for the uncertainty occurring in real-world situations · Applying probabilistic principles to variational auto-encoders Aimed at a reader experienced with developing machine learning or deep learning applications. About the technology Probabilistic deep learning models are better suited to dealing with the noise and uncertainty of real world data —a crucial factor for self-driving cars, scientific results, financial industries, and other accuracy-critical applications. Oliver Dürr is professor for data science at the University of Applied Sciences in Konstanz, Germany. Beate Sick holds a chair for applied statistics at ZHAW, and works as a researcher and lecturer at the University of Zurich, and as a lecturer at ETH Zurich. Elvis Murina is a research assistant, responsible for the extensive exercises that accompany this book. Dürr and Sick are both experts in machine learning and statistics. They have supervised numerous bachelors, masters, and PhD the seson the topic of deep learning, and planned and conducted several postgraduate and masters-level deep learning courses. All three authors have been working with deep learning methods since 2013 and have extensive experience in both teaching the topic and developing probabilistic deep learning models.

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Summary How can artificial intelligence transform your business? In Zero to AI, you’ll explore a variety of practical AI applications you can use to improve customer experiences, optimize marketing, help you cut costs, and more. In this engaging guide written for business leaders and technology pros alike, authors and AI experts Nicolò Valigi and Gianluca Mauro use fascinating projects, hands-on activities, and real-world explanations to make it clear how your business can benefit from AI. About the technology There’s no doubt that artificial intelligence has made some impressive headlines recently, from besting chess and Go grand masters to producing uncanny deep fakes that blur the lines of reality. But what can AI do for you? If you want to understand how AI will impact your business before you invest your time and money, this book is for you. About the book Zero to AI uses clear examples and jargon-free explanations to show the practical benefits of AI. Each chapter explores a real-world case study demonstrating how companies like Google and Netflix use AI to shape their industries. You begin at the beginning, with a primer on core AI concepts and realistic business outcomes. To help you prepare for the transition, the book breaks down a successful AI implementation, including advice on hiring the right team and making decisions about resources, risks, and costs. What's inside Identifying where AI can help your organization Designing an AI strategy Evaluating project scope and business impact Using AI to boost conversion rates, curate content, and analyze feedback Understanding how modern AI works and what it can/can’t do About the reader For anyone who wants to gain an understanding of practical artificial intelligence and learn how to design and develop projects with high business impact. About the authors Gianluca Mauro and Nicolò Valigi are the cofounders of AI Academy, a company specializing in AI trainings and consulting. Table of Contents: 1. An introduction to artificial intelligence PART 1 - UNDERSTANDING AI 2. Artificial intelligence for core business data 3. AI for sales and marketing 4. AI for media 5. AI for natural language 6. AI for content curation and community building PART 2 - BUILDING AI 7. Ready—finding AI opportunities 8. Set—preparing data, technology, and people 9. Go—AI implementation strategy 10. What lies ahead

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STUDY, PRACTICE, REVIEW!Take your learning to the next level with the NEW LPIC-1 Certification Kit! Includes LPIC-1 Study Guide, Fifth Edition, AND LPIC-1 Practice Tests, Second Edition About the LPIC-1 Linux Professional Institute Certification Study Guide, Fifth Edition Building on the popular Sybex Study Guide approach, this book will provide 100% coverage of the NEW LPIC-1 Exam 101-500 and Exam 102-500 objectives. The book contains clear and concise information on all Linux administration topic, and includes practical examples and insights drawn from real-world experience. System Architecture Linux Installation and Package Management GNU and Unix Commands Devices, Linux Filesystems, Filesystem Hierarchy Standard Shells and Shell Scripting User Interfaces and Desktops Administrative Tasks Essential System Services Networking Fundamentals Security Readers will also have access to the online interactive test bank and learning environment, including hundreds of practice questions, electronic flashcards, and a searchable Glossary of important terms. Prepare smarter with Sybex's superior online study tools!About the LPIC-1 Linux Professional Institute Certification Practice Tests, Second Edition If you’re preparing for this all-important exam, turn to LPIC-1 Practice Tests. This book includes 10 chapter tests that align with the 10 objective domains, PLUS one additional 90-question practice exam, for a total of 1,000 practice test questions. This book helps you gain the confidence you need for taking LPIC-1 Exam 101-500 and Exam 102-500. The practice test questions prepare you for test success. Study for the LPIC-1 certification with Sybex and get the advantage of exam day confidence. Readers will also have access to all the practice test questions using our online test bank. Prepare smarter with Sybex's superior interactive online learning environment and study tools!

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BlenderTM is a free Open-Source 3D Computer Modeling and Animation Suite incorporating Character Rigging, Particles, Real World Physics Simulation, Sculpting, Video Editing with Motion Tracking and 2D Animation within the 3D Environment.Blender is FREE to download and use by anyone for anything.The Complete Guide to Blender Graphics: Computer Modeling and Animation, Eighth Edition is a unified manual describing the operation of the program, updated with reference to the Graphical User Interface for Blender Version 3.2.2, including additional material covering Blender Assets, Geometry Nodes, and Non-Linear Animation.Divided into a two-volume set, the book introduces the program’s Graphical User Interface and shows how to implement tools for modeling and animating characters and created scenes with the application of color, texture, and special lighting effects.Key Features: The book provides instruction for New Users starting at the very beginning Instruction is presented in a series of chapters incorporating visual reference to the program's interface The initial chapters are designed to instruct the user in the operation of the program while introducing and demonstrating interesting features of the program Chapters are developed in a building block fashion providing forward and reverse reference to relevant material Both volumes are available in a discounted set, which can also be purchased together with Blender 2D Animation: The Complete Guide to the Grease Pencil.

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Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.

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Using a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But only when you approach incident response with a cyberthreat intelligence mindset will you truly understand the value of that information. In this updated second edition, you'll learn the fundamentals of intelligence analysis as well as the best ways to incorporate these techniques into your incident response process. Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This practical guide helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship. In three parts, this in-depth book includes: The fundamentals: get an introduction to cyberthreat intelligence, the intelligence process, the incident response process, and how they all work together Practical application: walk through the intelligence-driven incident response (IDIR) process using the F3EAD process: Find, Fix, Finish, Exploit, Analyze, and Disseminate The way forward: explore big-picture aspects of IDIR that go beyond individual incident response investigations, including intelligence team building

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Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions—allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning is, demonstrate its organizational benefits, and provide hands-on examples created in the R programming language. A perfect guide for professional self-taught learners or students in an introductory machine learning course, this reader-friendly book illustrates the numerous real-world business uses of machine learning approaches. Clear and detailed chapters cover data wrangling, R programming with the popular RStudio tool, classification and regression techniques, performance evaluation, and more. Explores data management techniques, including data collection, exploration and dimensionality reduction Covers unsupervised learning, where readers identify and summarize patterns using approaches such as apriori, eclat and clustering Describes the principles behind the Nearest Neighbor, Decision Tree and Naive Bayes classification techniques Explains how to evaluate and choose the right model, as well as how to improve model performance using ensemble methods such as Random Forest and XGBoost Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested in leveraging the power of AI to solve business problems, as well as students and independent learners seeking to enter the field.

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Can a system be considered truly reliable if it isn't fundamentally secure? Or can it be considered secure if it's unreliable? Security is crucial to the design and operation of scalable systems in production, as it plays an important part in product quality, performance, and availability. In this book, experts from Google share best practices to help your organization design scalable and reliable systems that are fundamentally secure. Two previous O’Reilly books from Google—Site Reliability Engineering and The Site Reliability Workbook—demonstrated how and why a commitment to the entire service lifecycle enables organizations to successfully build, deploy, monitor, and maintain software systems. In this latest guide, the authors offer insights into system design, implementation, and maintenance from practitioners who specialize in security and reliability. They also discuss how building and adopting their recommended best practices requires a culture that’s supportive of such change. You’ll learn about secure and reliable systems through: Design strategies Recommendations for coding, testing, and debugging practices Strategies to prepare for, respond to, and recover from incidents Cultural best practices that help teams across your organization collaborate effectively

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You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.

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Developing computer games is a perfect way to learn how to program in modern programming languages. This book teaches how to program in C# through the creation of computer games – and without requiring any previous programming experience.Contrary to most programming books, van Toll, Egges, and Fokker do not organize the presentation according to programming language constructs, but instead use the structure and elements of computer games as a framework. For instance, there are chapters on dealing with player input, game objects, game worlds, game states, levels, animation, physics, and intelligence. The reader will be guided through the development of four games showing the various aspects of game development. Starting with a simple shooting game, the authors move on to puzzle games consisting of multiple levels, and conclude the book by developing a full-fledged platform game with animation, game physics, and intelligent enemies. They show a number of commonly used techniques in games, such as drawing layers of sprites, rotating, scaling and animating sprites, dealing with physics, handling interaction between game objects, and creating pleasing visual effects. At the same time, they provide a thorough introduction to C# and object-oriented programming, introducing step by step important programming concepts such as loops, methods, classes, collections, and exception handling.This second edition includes a few notable updates. First of all, the book and all example programs are now based on the library MonoGame 3.6, instead of the obsolete XNA Game Studio. Second, instead of explaining how the example programs work, the text now invites readers to write these programs themselves, with clearly marked reference points throughout the text. Third, the book now makes a clearer distinction between general (C#) programming concepts and concepts that are specific to game development. Fourth, the most important programming concepts are now summarized in convenient “Quick Reference” boxes, which replace the syntax diagrams of the first edition. Finally, the updated exercises are now grouped per chapter and can be found at the end of each chapter, allowing readers to test their knowledge more directly.The book is also designed to be used as a basis for a game-oriented programming course. Supplementary materials for organizing such a course are available on an accompanying web site, which also includes all example programs, game sprites, sounds, and the solutions to all exercises.

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An illustrated journey through the past, present, and future of artificial intelligence, from popular science author Cliff Pickover. From medieval robots and Boolean algebra to facial recognition, artificial neural networks, and adversarial patches, this fascinating history takes readers on a vast tour through the world of artificial intelligence. Award-winning author Clifford A. Pickover (The Math Book, The Physics Book, Death & the Afterlife) explores the historic and current applications of AI in such diverse fields as computing, medicine, popular culture, mythology, and philosophy, and considers the enduring threat to humanity should AI grow out of control. Across 100 illustrated entries, Pickover provides an entertaining and informative look into when artificial intelligence began, how it developed, where it's going, and what it means for the future of human-machine interaction.

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Building a successful product usually involves teams of people, and many choose the Scrum approach to aid in creating products that deliver the highest possible value. Implementing Scrum gives teams a collection of powerful ideas they can assemble to fit their needs and meet their goals. The ninety-four patterns contained within are elaborated nuggets of insight into Scruma (TM)s building blocks, how they work, and how to use them. They offer novices a roadmap for starting from scratch, yet they help intermediate practitioners fine-tune or fortify their Scrum implementations. Experienced practitioners can use the patterns and supporting explanations to get a better understanding of how the parts of Scrum complement each other to solve common problems in product development. The patterns are written in the well-known Alexandrian form, whose roots in architecture and design have enjoyed broad application in the software world. The form organizes each pattern so you can navigate directly to organizational design tradeoffs or jump to the solution or rationale that makes the solution work. The patterns flow together naturally through the context sections at their beginning and end. Learn everything you need to know to master and implement Scrum one step at a time'the agile way.

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Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features • Using the PyTorch tensor API • Understanding automatic differentiation in PyTorch • Training deep neural networks • Monitoring training and visualizing results • Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.

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Artificial intelligence is everywhere - from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT - yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon. You'll learn: the relationship between artificial intelligence, machine learning, and deep learning; the history behind AI and why the artificial intelligence revolution is happening now; how decades of work in symbolic AI failed and opened the door for the emergence of neural networks; what neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number, and the implications of large language models, like ChatGPT and Bard, on our society - nothing will be the same again. AI isn't magic. If you've ever wondered how it works, what it can do, or why the

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The past decade has witnessed extraordinary advances in artificial intelligence. But what precisely is it and where does its future lie?In this brilliant, one-stop guide WIRED journalist Matt Burgess explains everything you need to know about AI. He describes how it works. He looks at the ways in which it has already brought us everything from voice recognition software to self-driving cars, and explores its potential for further revolutionary change in almost every area of our daily lives. He examines the darker side of machine learning: its susceptibility to hacking; its tendency to discriminate against particular groups; and its potential misuse by governments. And he addresses the fundamental question: can machines become as intelligent as human beings?

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Write Powerful, Modern C++ Code for Scientific, Engineering, and Embedded Applications Discovering Modern C++, Second Edition, will help you master valuable skills for programming with C++ at nearly every level, from "close to the hardware" to high-level abstractions. Updated for C++17 and C++ 20, this intensive introduction teaches C++ using realistic examples from diverse technical problem domains. Drawing on extensive experience teaching C++ to physicists, mathematicians, engineers, and students, Peter Gottschling guides you smoothly to sophisticated approaches based on advanced features. Whatever your programming experience, you'll rapidly master increasingly powerful features, from lambdas to expression and variadic templates. Gottschling also shows you how to apply C++'s libraries: both the Standard Template Library (STL) and scientific libraries for arithmetic, linear algebra, differential equations, and graphs. Step by step, you'll learn to write clear and expressive code using object orientation, generics, metaprogramming, and procedural techniques, and master all the abstractions you need to write high-quality, well-performing software. Quickly master core features: variables, operators, expressions, statements, functions, error handling, I/O, arrays, pointers, references, and more Make the most of classes and object-oriented programming, from constructors/destructors to operator overloading and multiple inheritance Apply advanced generic programming and template-based techniques Use C++'s libraries to write more robust and powerful code more quickly Explore metaprogramming in depth, and master cutting-edge optimization techniques Walk through representative scientific projects, and create your own Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

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A long journey is really a lot of little steps. The same is true when you’re learning Python, so you may as well have some fun along the way! Written in a light-hearted style with entertaining exercises that build powerful skills, Tiny Python Projects takes you from amateur to Pythonista as you create 19 bitesize programs. Tiny Python Projects teaches you the big ideas of Python programming through small puzzles, tasks, and games. Each chapter challenges you with a fun new Python program for you to write and run, including a Shakespearean insult generator, an unbreakable password creator, and various text encoders. As you practice core Python language features and coding skills, you’ll also explore the principles of test-driven development by running your programs against a suite of specially designed tests. Key Features · Write command-line Python programs · Process a variety of command-line arguments, options, and flags · Write and run tests for programs and functions · Manipulate Python data structures including strings, lists, tuples, and dictionaries For readers with beginning programming skills in Python or another language. About the technology Simple yet powerful, Python is one of the world’s most popular programming languages. You can use Python to write everything from simple utility programs to complex web applications and deep learning models. Ken Youens-Clark works at the University of Arizona as a senior scientific programmer. He has an MS in biosystems engineering, and has been programming for over 20 years.

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Query and modify data effectively with the latest T-SQL features Master Transact-SQL's fundamentals, and write correct, robust code for querying and modifying data with modern Microsoft data technologies, including SQL Server 2022, Azure SQL Database, and Azure SQL Managed Instance. Long-time Microsoft Data Platform MVP Itzik Ben-Gan explains key T-SQL concepts, helping you apply your knowledge with hands-on exercises. Ben-Gan first introduces T-SQL's theory and underlying logic, illuminating it as both a language and a way of thinking. Next, he walks through core topics, including logical query processing, single table queries, joins, subqueries, table expressions, set operators, data analysis, data modifications, temporal tables, and transactions and concurrency. Building on this foundation, you'll enhance your coding capabilities, from programmatic constructs to the powerful new SQL Graph. Throughout, Ben-Gan presents reusable T-SQL sample code that works in cloud, on-premises, and hybrid environments. Microsoft Data Platform MVP Itzik Ben-Gan helps you: Understand why T-SQL works as it does, so you can write better code Review relational theory elements and modern SQL Server architecture Create tables and defi ne data integrity Build single-table SELECT queries, multiple-table joins, and subqueries Utilize derived tables, Common Table Expressions, views, inline table-valued functions, and APPLY Make the most of UNION, INTERSECT, and EXCEPT set operators Perform data analysis with window functions, pivoting, grouping sets, and time series Insert, update, delete, and merge data Get started with system-versioned temporal tables Understand and apply transactions and concurrency, including concurrent user connections, locks, blocking, isolation levels, and more Use SQL Graph to model, create, modify, and query graph-based data Explore SQL Server programmable objects and programming capabilities Set up your environment, install sample databases, and fi nd even more help For IT Professionals and Consultants For T-SQL developers, DBAs, BI practitioners, data scientists, report writers, analysts, architects, and SQL Server power users For anyone else who needs to write queries or develop T-SQL code for SQL Server, Azure SQL Database, or Azure SQL Managed Instance

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TypeScript is one of the most important tools for JavaScript developers. Still, even experienced developers wonder why the TypeScript compiler is throwing squiggly red lines at them. Enter TypeScript Cookbook. With this practical guide, author Stefan Baumgartner provides senior engineers with solutions for everyday TypeScript problems. If you're conversant with TypeScript as well as JavaScript basics, this book provides actionable recipes to help you tackle a wide array of issues. From setting up complex project structures to developing advanced helper types, each self-contained recipe guides you through the problem and discusses why and how a solution works. The ideal companion for your ongoing TypeScript journey, this cookbook helps you: Dive into the inner workings of the TypeScript type system Integrate TypeScript into a variety of projects Craft advanced type definitions that allow for flexible scenarios Create useful helper types that function across projects Ensure readability along with type safety Create robust APIs for helper types and their coworkers Strongly type function signatures that rely on string types Work around limitations of the standard library Integrate TypeScript into advanced React projects

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With rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. In this updated second edition, you'll examine security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. IBM Distinguished Engineer Chris Dotson shows you how to establish data asset management, identity and access management (IAM), vulnerability management, network security, and incident response in your cloud environment. Learn the latest threats and challenges in the cloud security space Manage cloud providers that store or process data or deliver administrative control Learn how standard principles and concepts-such as least privilege and defense in depth-apply in the cloud Understand the critical role played by IAM in the cloud Use best tactics for detecting, responding, and recovering from the most common security incidents Manage various types of vulnerabilities, especially those common in multicloud or hybrid cloud architectures Examine privileged access management in cloud environments

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The second edition of the second volume in the highly-regarded Write Great Code series, teachinh readers how to produce better machine code by directing the actions of their chosen compiler. This second edition has been updated to cover high-level programming languages (such as Swift and Java) as well as code generation on 64-bit CPUsARM, the Java Virtual Machine, and the Microsoft Common Runtime.

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Nazmul Rajib is a senior product marketing manager of Cisco Systems, Inc. He leads Cisco's global initiatives on cybersecurity enablement, focusing on the firewall and intrusion prevention technologies. As a senior member of the Security Business Group (SBG), Nazmul regularly advises Cisco on security product roadmaps, content strategies, and technical communications. He develops training programs for the Global Security Sales Organization (GSSO) and worldwide channel partners. Nazmul also worked as a technical marketing engineer in the product management organization, where he was responsible for validating security designs, researching best practices, publishing white papers, and presenting new security capabilities. Prior to joining Cisco's core business group, Nazmul served as a senior information security consultant in the Cisco advanced services organization. With more than a decade of experience, Nazmul assisted many Fortune 500 companies, gove

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The only data visualization book written by and for health and healthcare professionals. In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health departments, researchers, and health information technology groups know the ability to analyze and communicate this vast array of data in a clear and compelling manner is paramount to success. However, they simply cannot find experienced people with the necessary qualifications. The quickest (and often the only) route to meeting this challenge is to hire smart people and train them. Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "See how You're Doing" is a one-of-a-kind book for health and healthcare professionals to learn the best practices of data visualization specific to their field. It provides a high-level summary of health and healthcare data, an overview of relevant visual intelligence research, strategies and techniques to gather requirements, and how to build strong teams with the expertise required to create dashboards and reports that people love to use. Clear and detailed explanations of data visualization best practices will help you understand the how and the why. Learn how to build beautiful and useful data products that deliver powerful insights for the end user Follow along with examples of data visualization best practices, including table and graph design for health and healthcare data Learn the difference between dashboards, reports, multidimensional exploratory displays and infographics (and why it matters) Avoid common mistakes in data visualization by learning why they do not work and better ways to display the data Written by a top leader in the field of health and healthcare data visualization, this book is an excellent resource for top management in healthcare, as well as entry-level to experienced data analysts in any health-related organization.

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GitOps and Kubernetes introduces a radical idea—managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies with the same Git version control tools most developers use daily. GitOps and Kubernetes is half reference, half practical tutorial for operating Kubernetes the GitOps way. Through fast-paced chapters, you’ll unlock the benefits of GitOps for flexible configuration management, monitoring, robustness, multi-environment support, and discover tricks and tips for managing secrets in the unique GitOps fashion. Key Features · Multiple-environments management with branching, namespace, and configuration · Access Control with Git, Kubernetes, and Pipeline · Using Kubernetes with Argo CD, JenkinsX, and Flux · Multi-step deployment strategies like Blue-Green, Canary in a declarative GitOps model For developers familiar with Continuous Delivery principles and the basics of Git and Kubernetes. About the technology The tools to monitor and manage software delivery and deployment can be complex to set up and intimidating to learn. But with the “GitOps“ method, you can manage your entire Kubernetes infrastructure with Git pull requests, giving you a single control interface and making it easy to assess and roll back changes! Billy Yuen, Alexander Matyushentsev, Todd Ekenstam, and Jesse Suen are principal engineers for the Intuit platform. They are widely recognized as industry leads in GitOps for Kubernetes, having presented numerous related talks at industry conferences.

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Usability Testing Essentials presents a practical, step-by-step approach to learning the entire process of planning and conducting a usability test. It explains how to analyze and apply the results and what to do when confronted with budgetary and time restrictions. This is the ideal book for anyone involved in usability or user-centered design—from students to seasoned professionals. Filled with new examples and case studies, Usability Testing Essentials, Second Edition is completely updated to reflect the latest approaches, tools and techniques needed to begin usability testing or to advance in this area.

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JavaScript is no longer to be feared or loathed - the world's most popular and ubiquitous language has evolved into a respectable language. Whether you're writing frontend applications or server side code, the phenomenal features from ES6 and beyond - like the rest operator, generators, destructuring, object literals, arrow functions, modern classes, promises, async, and metaprogramming capabilities - will get you excited and eager to program with JavaScript. You've found the right book to get started quickly and dive deep into the essence of modern JavaScript. Learn practical tips to apply the elegant parts of the language and the gotchas to avoid. JavaScript is a black swan that no one, including the author of the language, thought would become a popular and ubiquitous language. Not long ago, it was the most hated and feared language you could use to program the web. JavaScript ES6 and beyond has gone through a significant makeover. Troublesome features have been replaced with better, elegant, more reliable alternatives. This book includes many practical examples and exercises to help you learn in depth. It will not bore you with idiosyncrasies and arcane details intended for bad interview questions. Instead, it takes you into key features that you can readily use in your day-to-day projects. Whether you program the frontend or the server side, you can now write concise, elegant, and expressive JavaScript with newer features like default parameters, template literals, rest and spread operators, destructuring, arrow functions, and generators. Take it up a notch with features like infinite series, promises, async, and metaprogramming to create flexible, powerful, and extensible libraries. While the evolved features of the language will draw you in, the hundreds of examples in this book will pin the concepts down, for you to use on your projects. Take command of modern JavaScript and unlock your potential to create powerful applications. What You Need: To try out the examples in the book you will need a computer with Node.js, a text editor, and a browser like Chrome installed in it.

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A Concise Introduction to Robot Programming with ROS2 provides the reader with the concepts and tools necessary to bring a robot to life through programming. It will equip the reader with the skills necessary to undertake projects with ROS2, the new version of ROS. It is not necessary to have previous experience with ROS2 as it will describe its concepts, tools, and methodologies from the beginning.Key Features Uses the two programming languages officially supported in ROS2 (C++, mainly, and Python) Approaches ROS2 from three different but complementary dimensions: the Community, Computation Graph, and the Workspace Includes a complete simulated robot, development and testing strategies, Behavior Trees, and Nav2 description, setup, and use A GitHub repository with code to assist readers It will appeal to motivated engineering students, engineers, and professionals working with robot programming.

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Don't call your tech guru for help—get this book and help yourself! What do you want to do with your Windows computer? Sign up for Facebook to keep up with your friends? Watch a video taken during the latest family trip? Find your latest email messages with a single click of the mouse? Look no further than Windows 11 For Seniors For Dummies to discover how to do these tasks and others that you depend on a daily basis. With this guide to the popular operating system, you find the clear and easy instructions to checking tech tasks off your to-do list. This book focuses on giving you the steps—with plenty of helpful illustrations—you need to complete the essential tasks that you perform throughout your day, like connecting with friends on social media, customizing your Windows 11 desktop with personal photos, and emailing the family about weekend plans. You also find out how to navigate Windows 11 and enhance it with the apps and widgets that you use. Other topics include: Adding shortcuts to favorite apps Personalizing your desktop Creating your private Windows account Setting up the email app Having news delivered to your desktop Chasing down lost files Tweaking your digital photos Setting your security and forgetting about it Reach for Windows 11 For Seniors For Dummies whether you need a basic introduction to Windows, want a refresher on Windows 11, or have a question you want answered right away. You can then spend less time looking for help on how your computer works and more time enjoying the fun parts of life.

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The Dreamcast Encyclopedia is the fifth book in Scottish author and games journalist Chris Scullion's critically-acclaimed series of video game encyclopedias. The Sega Dreamcast is fondly remembered by players as a games console that was ahead of its time, almost to a fault. Its incredible graphics offered a level of detail that hadn't been seen on home systems to that point, and its built-in modem brought online multiplayer to many console players for the first time ever. Ultimately though, the release of the PS2 (and later the GameCube and Xbox) led to struggling sales and Sega would eventually pull the plug on the Dreamcast just two years into its life, bowing out of the console manufacturing business altogether. On paper the Dreamcast was a commercial failure, but those who owned one remember it so fondly that for many it remains one of the greatest games consoles of all time, with a small but well-formed library of high-quality games. This book contains every one of those games, including not only the entire western library of around 270 titles, but also the 340 or so games that were exclusively released in Japan. With over 600 games covered in total, screenshots for every title and a light-hearted writing style designed for an entertaining read, The Dreamcast Encyclopedia is the definitive guide to one of the most underrated gaming systems of all time.

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NOTE: The name of the exam has changed from IT Fundamentals to IT Fundamentals+ (ITF+). However, the FC0-U61 exam objectives are exactly the same. After the book was printed with IT Fundamentals in the title, CompTIA changed the name to IT Fundamentals+ (ITF+). We have corrected the title to IT Fundamentals+ (ITF+) in subsequent book printings, but earlier printings that were sold may still show IT Fundamentals in the title. Please rest assured that the book content is 100% the same.The ultimate study guide for the essential entry-level IT cert! The CompTIA IT Fundamentals Study Guide: Exam FC0-U61, Second Edition is your ideal companion for comprehensive exam preparation. Covering 100 percent of the latest exam objectives, this book contains everything you need to know to pass with flying colors—the first time! Clear, concise language breaks down fundamental IT concepts to help you truly grasp important concepts, and practical examples illustrate how each new skill is applied in real-world situations. You’ll learn your way around hardware and software, conduct installations, and connect to networks to get a workstation up and running smoothly; you’ll also develop the knowledge base needed to identify compatibility and security issues, mitigate risks, and conduct all-important preventative maintenance that keeps the end-user problem-free. The CompTIA IT Fundamentals certification validates your skills as a systems support specialist, and gets your foot in the door to a successful IT career. This book is your ultimate preparation resource, with expert guidance backed by online tools to take your preparation to the next level! Master 100 percent of Exam FC0-U61 objectives Learn real-world applications and practical on-the-job skills Know what to expect with exam highlights and review questions Includes 1 year free access to Sybex's online study tools including flashcards, chapter tests, and a practice exam, all supported by Wiley's support agents who are available 24x7 via email or live chat to assist with access and login questions The IT department is instrumental in keeping any organization on its feet. As support staff, you will be called upon to assess and repair common problems, set up and configure workstations, address individual issues, and much more. If you decide to continue on to more advanced IT positions, the CompTIA IT Fundamentals certification is a great springboard; if you’re ready to launch your career, the CompTIA IT Fundamentals Study Guide offers complete, practical prep to help you face the exam with confidence.

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A hands-on introduction to the principles and practices of modern artificial intelligenceThis comprehensive textbook focuses on the core techniques and processes underlying today’s artificial intelligence, including algorithms, data structures, logic, automated reasoning, and problem solving. The book contains information about planning and about expert systems.Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning is written in a concise format with a view to optimizing learning. Each chapter contains a brief historical overview, control questions to reinforce important concepts, plus computer assignments and ideas for independent thought. The book includes many visuals to illustrate the essential ideas and many examples to show how to use these ideas in practical implementations. Presented in a concise format to optimize learning Includes historical overviews, summaries, exercises, thought experiments, and computer assignments Written by a recognized artificial intelligence expert and experienced author

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THE PERFECT INTRODUCTION TO AI FROM THE PRESENTER OF THE 2023 ROYAL INSTITUTION CHRISTMAS LECTURE'I propose to consider the question, 'Can machines think?' Alan Turing (1950)Part of the ALL-NEW Ladybird Expert series.This book is for everyone living in the age of Artificial Intelligence. And this is an accessible and authoritative introduction to one of the most important conversations of our time . . . Written by computer scientist Michael Wooldridge, Artificial Intelligence chronicles the development of intelligent machines, from Turing's dream of machines that think, to today's digital assistants like Siri and Alexa. AI is not something that awaits us in the future. Inside you'll learn how we have come to rely on embedded AI software and what a world of ubiquitous AI might look like.What's inside?- The British mathematician Alan Turing- Can machines 'understand'?- Logical and Behavioural AI- The reality of AI today- AI tomorrow- And much more . . . For an adult readership, the Ladybird Expert series is produced in the same iconic small hardback format pioneered by the original Ladybirds. Each beautifully illustrated book features the first new illustrations produced in the original Ladybird style for nearly forty years.

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Description Ruby is a dynamic language perfect for creating applications, development tools, and administrative scripts. The Well-Grounded Rubyist, Third Edition is a perfect tutorial for newcomers to Ruby and a great way for experienced Rubyists to deepen their understanding of the language. Key features · Fully updated to cover the latest in Ruby 2.5 · Clear explanations of Ruby concepts and how to apply them · Simple examples to seal in the learning · Prepares readers to use Ruby anywhere for any purpose Audience This book teaches Ruby from the ground up. The reader should have command of basic programming concepts in another language. About the technology Because it's the backbone of the well-loved Ruby on Rails web framework, Ruby has become one of the most popular programming languages in the world. David A. Black is an internationally-known Ruby developer, author, trainer, speaker, and event organizer, as well as a co-founder of Ruby Central. Joseph Leo III is a Ruby teacher, mentor, and community advocate. He is the lead organizer of the Gotham Ruby Conference (GoRuCo) and founder of Def Method.

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A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at juiceanalytics.com Written by well-known and highly esteemed authors in the data presentation community Data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use Data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.

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An understanding of psychology-specifically the psychology behind how users behave and interact with digital interfaces-is perhaps the single most valuable nondesign skill a designer can have. The most elegant design can fail if it forces users to conform to the design instead of working within the "blueprint" of how humans perceive and process the world around them. This practical guide explains how you can apply key principles of psychology to build products and experiences that are more human-centered and intuitive. Author Jon Yablonski deconstructs familiar apps and experiences to provide clear examples of how UX designers can build interfaces that adapt to how users perceive and process digital interfaces. You'll learn: How aesthetically pleasing design creates positive responses The principles of psychology most useful for designers How these psychology principles relate to UX heuristics Predictive models including Fitts's law, Jakob's law, and Hick's law Ethical implications of using psychology in design A practical framework for applying principles of psychology in your design process This updated edition includes an even deeper connection to the underlying psychological concepts that govern the principles explored in the book, along with accompanying UX methods and techniques. Examples have been updated to ensure the deconstructed apps and experiences remain familiar and relevant.

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Adobe Lightroom is a world-leading photo-editing and storage solution from the creators of the popular image-editing apps Adobe Photoshop and Adobe Elements. However, Lightroom is more than just a single app; it is a comprehensive service including versions for a range of devices, and a linked online cloud service for storing, accessing, and sharing your photos. Lightroom has an easy-to-use interface that contains all of the tools required to unleash every last pixel of your photographic creativity Lightroom in easy steps begins by looking at the desktop, mobile and web versions of Lightroom and shows how they can be used individually and together to effortlessly capture, edit, and share photos between your devices. This provides a one-stop-shop for all of your photography needs, whether you are at home or at different locations capturing photos.Lightroom has a sophisticated range of color-editing tools, for fine-tuning every aspect of a photo. These a

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What will you learn from this book? Swift is best known as Apple's programming language of choice for developing apps on iOS, iPadOS, macOS, watchOS, and tvOS. But it's far more versatile than that. Open source Swift is also gaining ground as a language for systems programming and server-side code, and it runs on Linux and Windows. So where do you start? With Head First Swift, you'll explore from the ground up: from collecting and controlling data to reusing code, producing custom data types, and structuring programs and user interfaces with SwiftUI by building safe, protocol-driven code. With Swift under your belt, you'll be ready to build everything from mobile and web apps to games, frameworks, command-line tools, and beyond. What's so special about this book? If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn Swift through a multisensory experience that engages your mind rather than a text-heavy approach that puts you to sleep.

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Write code that's clean, concise, and to the point: code that others will read with pleasure and reuse. Comparing your code to that of expert programmers is a great way to improve your coding skills. Get hands-on advice to level up your coding style through small and understandable examples that compare flawed code to an improved solution. Discover handy tips and tricks, as well as common bugs an experienced Java programmer needs to know. Make your way from a Java novice to a master craftsman. This book is a useful companion for anyone learning to write clean Java code. The authors introduce you to the fundamentals of becoming a software craftsman, by comparing pieces of problematic code with an improved version, to help you to develop a sense for clean code. This unique before-and-after approach teaches you to create clean Java code. Learn to keep your booleans in check, dodge formatting bugs, get rid of magic numbers, and use the right style of iteration. Write informative comments when needed, but avoid them when they are not. Improve the understandability of your code for others by following conventions and naming your objects accurately. Make your programs more robust with intelligent exception handling and learn to assert that everything works as expected using JUnit5 as your testing framework. Impress your peers with an elegant functional programming style and clear-cut object-oriented class design. Writing excellent code isn't just about implementing the functionality. It's about the small important details that make your code more readable, maintainable, flexible, robust, and faster. Java by Comparison teaches you to spot these details and trains you to become a better programmer. What You Need: You need a Java 8 compiler, a text editor, and a fresh mind. That's it.

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