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  • MPI Ethno. Forsch.  (620)
  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (620)
  • Electronic books ; local  (620)
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  • MPI Ethno. Forsch.  (620)
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  • 101
    Online Resource
    Online Resource
    Developing Modern Applications with a Converged Database (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Single-purpose databases were designed to address specific problems and use cases. Given this narrow focus, there are inherent tradeoffs required when trying to accommodate multiple datatypes or workloads in your enterprise environment. The result is data fragmentation that spills over into application development, IT operations, data security, system scalability, and availability. In this report, author Alice LaPlante explains why developing modern, data-driven applications may be easier and more synergistic when using a converged database. Senior developers, architects, and technical decision-makers will learn cloud-native application development techniques for working with both structured and unstructured data. You'll discover ways to run transactional and analytical workloads on a single, unified data platform. This report covers: Benefits and challenges of using a converged database to develop data-driven applications How to use one platform to work with both structured and unstructured data that includes JSON, XML, text and files, spatial and graph, Blockchain, IoT, time series, and relational data Modern development practices on a converged database, including API-driven development, containers, microservices, and event streaming Use case examples including online food delivery, real-time fraud detection, and marketing based on real-time analytics and geospatial targeting
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    MPI Ethno. Forsch.
  • 102
    Online Resource
    Online Resource
    Programming Scala, 3rd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (171 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get up to speed on Scala—the JVM, JavaScript, and natively compiled language that offers all the benefits of functional programming, a modern object model, and an advanced type system. Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away. You’ll learn why Scala is ideal for today’s highly scalable, data-centric applications that support concurrency and distribution. Despite the reinvigoration of Java and the introduction of Kotlin, Scala hasn’t been sitting still. This third edition covers the new features in Scala 3.0, with updates throughout the book. Programming Scala is ideal for beginning to advanced developers who want a complete understanding of Scala’s design philosophy and features with a thoroughly practical focus. Program faster with Scala’s succinct and flexible syntax Dive into basic and advanced functional programming (FP) techniques Build killer big data and distributed apps, using Scala’s functional combinators and tools including Akka and Spark Use traits for mixin composition and pattern matching for data extraction Learn the sophisticated type system that combines functional programming and object-oriented programming concepts
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 103
    Online Resource
    Online Resource
    Learning MySQL, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (146 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Get a comprehensive overview on how to set up and design an effective database with MySQL. This thoroughly updated edition covers MySQL’s latest version, including its most important aspects. Whether you’re deploying an environment, troubleshooting an issue, or engaging in disaster and recovery, this practical guide provides the insights and tools necessary to take full advantage of this powerful RDBMS. Authors Vinicius Grippa and Sergey Kuzmichev from Percona show developers and DBAs methods for minimizing costs and maximizing availability and performance. You’ll learn how to perform basic and advanced querying, monitoring and troubleshooting, database management and security, backup and recovery, and tuning for improved efficiency. This edition includes new chapters on high availability, load balancing, and using MySQL in the cloud. Learning MySQL will help you: Deploy MySQL databases on bare metal, on virtual machines, and in the cloud Design database infrastructures Code highly efficient queries Monitor and troubleshoot MySQL databases Execute efficient backup and restore operations Optimize database costs in the cloud Understand database concepts, especially those pertaining to MySQL
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 104
    Online Resource
    Online Resource
    Java to Kotlin (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Kotlin has raised the bar for programming languages on the Java Virtual Machine with its compatibility, readability, efficiency, and tool support. But adopting a new language can be daunting, especially when you're working with business-critical Java code that must meet changing requirements. This book takes a novel approach to introducing Kotlin to Java programmers: showing you how to gradually refactor Java code to idiomatic Kotlin while continuing to evolve its functionality. But converting Java to Kotlin is just the starting point. Kotlin has many features beyond Java. Using worked examples, authors Duncan McGregor and Nat Pryce guide you through honing the converted code to make it simpler, more efficient, more expressive, and easier to change. You'll learn how to take advantage of functional constructs to improve program structure, reliability, and error handling. Once you finish this book, you'll be confident writing Kotlin from scratch, converting your existing Java when appropriate, and managing a mixed Java-Kotlin codebase as it evolves over time.
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 105
    Online Resource
    Online Resource
    Learning Algorithms (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Algorithms are central to understanding how to write efficient code. Everyone who works as a software developer needs to have an effective and working knowledge of algorithms but if they come from a coding bootcamp or 2 year degree they probably did not cover algorithms in enough detail. It is not enough to just know terminology such as proofs and lemmas; algorithms only become effective when put to use in real programs. This means that all working software professionals (developers, testers, maintainers) need to understand the key implementation concerns of algorithms. If a programmer changes even the slightest part of an algorithm, it could result in wildly different performance. It is necessary to understand both the individual mechanisms that appear across different algorithms as well as the way in which all parts interact together to achieve a full problem solution. Programmers need a blended-way to learn algorithms, combining online visualizations with clear explanations in written form. This book will also include a number of Katacodas from exercises and questions at the end of every chapter. This book describes a number of algorithms that creatively solve computational problems. Each algorithm has at least one innovative step that improves over ordinary code solutions to a problem. An algorithm is minimal -- there is nothing you can remove, and you do not need to add anything. Each individual part is necessary for the larger whole to work. Explaining how an algorithm works is like telling a story.
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 106
    Online Resource
    Online Resource
    C# Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Even if you're familiar with C# syntax, knowing how to combine various language features is a critical skill when building applications. This handy cookbook is packed full of recipes to help you solve issues for C# programming tasks you're likely to encounter. You'll learn tried-and-true techniques to help you achieve greater productivity and improve the quality of your code. Author and independent consultant Joe Mayo shares some of the most important practices you'll need to be successful as a C# developer. Each section of this cookbook describes some useful facet of the C# programming language. These recipes--the result of many years of experience--are proven concepts for solving real-world problems with C#. Learn new techniques for using the latest features of C# 9.0 Employ patterns for solving a wide selection of problems Work with recipes for important C# coding scenarios Reuse code that solves common problems Increase your knowledge of C# programming Improve the quality of your applications
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    MPI Ethno. Forsch.
  • 107
    Online Resource
    Online Resource
    SQL for Data Analysis (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (59 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With the explosion of computing power, thanks to analytic databases and cloud data warehouses, SQL has become an even more powerful and flexible tool for the savvy analyst or data scientist. This practical book reveals hidden ways to get the most out of your SQL 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 more understandable code. If you work with SQL databases, this is a must-have reference. SQL for Data Analysis covers useful applications such as: Cohort analysis Text analysis Anomaly detection Time series analysis Experiment analysis Creating complex data sets for further exploration in statistical and visualization tools And more
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    MPI Ethno. Forsch.
  • 108
    Online Resource
    Online Resource
    Lean UX, 3rd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098116279 , 1098116275 , 9781098116255 , 1098116259
    Language: English
    Pages: 1 online resource (24 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 658.575
    Keywords: User-centered system design ; Human-computer interaction ; Application software Development ; Electronic books ; local ; Electronic books ; Conception participative (Conception de systèmes) ; Logiciels d'application ; Développement ; Application software ; Development ; Human-computer interaction ; User-centered system design
    Abstract: Lean UX is synonymous with modern product design and development. Designers, product managers, developers, and Scrum Masters around the world are combining human-centric design, Agile ways of working, and a strong business sense, making Lean UX the leading approach for digital product teams today. Inspired by Lean and Agile methods, this book helps you focus on the actual product experience rather than deliverables. Lean UX shows teams how to collaborate, gather feedback early and often, and focus on learning and user feedback. You'll be able to drive the design in short, iterative cycles to assess what works best for businesses and users. Lean UX guides you through this change--for the better. Facilitate the Lean UX process with your team Ensure every project starts with clear customer-centric success criteria Understand the role of the designer on a Scrum team Write and contribute design and experiment stories to the backlog Ensure design work takes place in every sprint Build product discovery into the team’s "velocity" Make sure the team is designing and building products that customers love
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 109
    Online Resource
    Online Resource
    Mastering Shiny (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master the Shiny web framework—and take your R skills to a whole new level. Shiny helps you create fully interactive web apps for data analyses by letting you move beyond static reports, tables, and graphs. Your users will be able to jump between datasets, explore different subsets, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create complex Shiny apps. Shiny is easy to learn, but even intermediate users often wonder what they've missed. This in-depth introduction provides a learning path that you can follow with confidence. Getting started: Begin with a tutorial-style exploration of the basics Shiny in action: Explore Shiny functionality with a focus on code samples and example apps Best practices: Learn techniques for managing complexity and ensuring correctness, and explore ways to measure and improve your Shiny app's scalability Mastering reactivity: Learn the underlying theory of reactivity to improve your ability to reason about complex Shiny apps
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 110
    Online Resource
    Online Resource
    AWS Cookbook (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (77 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This practical guide provides over 100 self-contained recipes to help you creatively solve issues you may encounter in your AWS cloud endeavors. If you're comfortable with rudimentary scripting and general cloud concepts, this cookbook will give you what you need to both address foundational tasks and create high-level capabilities. AWS Cookbook provides real-world examples that incorporate best practices. Each recipe includes code that you can safely execute in a sandbox AWS account to ensure that it works. From there, you can customize the code to help construct your application or fix your specific existing problem. Recipes also include a discussion that explains the approach and provides context. This cookbook takes you beyond theory, providing the nuts and bolts you need to successfully build on AWS. You'll find recipes for: Organizing multiple accounts for enterprise deployments Locking down S3 buckets Analyzing IAM roles Autoscaling a containerized service Summarizing news articles Standing up a virtual call center Creating a chatbot that can pull answers from a knowledge repository Automating security group rule monitoring, looking for rogue traffic flows And more
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    MPI Ethno. Forsch.
  • 111
    Online Resource
    Online Resource
    The Value of Open Source in the Cloud Era (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (28 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Two significant shifts characterize computing in the past two decades: the widespread use of free and open source software (FOSS) and migration to the cloud. How have these trends influenced one another? O'Reilly, in collaboration with IBM, conducted a survey of software development professionals during the fall of 2020 to discover the complex relationship between these two trends. More than 3,400 respondents from a variety of software disciplines, including developers and managers, indicated that FOSS is maintaining and perhaps even increasing its influence in the cloud age. The survey demonstrates that these professionals have a strong loyalty to open source software, which is motivated by real career benefits and greater professional opportunities. For instance, 95% of respondents agreed that experience with Linux was valuable to their career. And 70% of respondents prefer a cloud provider that's based on open source. This report delves into more key survey findings, including: The number of respondents who use open source software in some aspect of their operations How open source software stacks up against proprietary software The career and professional benefits that open source technologies provide How many respondents have chosen cloud providers based on their use of open source software The software technologies that respondents consider most important And more
    Note: Online resource; Title from title page (viewed February 1, 2021) , Mode of access: World Wide Web.
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  • 112
    Online Resource
    Online Resource
    Programming Android with Kotlin (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (325 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Android development is so vast that mastering this mobile operating system can seem daunting--particularly now that Kotlin has become the official Android development language. This book helps Android developers make the transition from Java to Kotlin and shows them how Kotlin provides a true advantage for gaining control over asynchronous computations. By focusing specifically on coroutines, a new asynchronous programming paradigm, this book describes how you can achieve structured concurrency with Kotlin. Authors Pierre-Oliver Laurence, Amanda Hinchman-Dominguez, and Mike Dunn provide implementations of the most common tasks in native Android development. The basics of the Kotlin language and the Android architecture Data transformations in Kotlin Android fundamentals in memory and threading Concurrency with coroutines Channels and flows Android profiling tools
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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  • 113
    Online Resource
    Online Resource
    PowerShell Cookbook, 4th Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1100 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: How do you use PowerShell to navigate the filesystem, manage files and folders, or retrieve a web page? This introduction to the PowerShell language and scripting environment provides more than 400 task-oriented recipes to help you solve all kinds of problems. Intermediate to advanced system administrators will find more than 100 tried-and-tested scripts they can copy and use immediately. Updated for PowerShell 5, Open Source PowerShell up to 7 and beyond, this comprehensive cookbook includes hands-on recipes for common tasks and administrative jobs that you can apply whether you're on the client or server version of Windows. You also get quick references to technologies used in conjunction with PowerShell, including format specifiers and frequently referenced registry keys to selected .NET, COM, and WMI classes. Learn how to use PowerShell on Windows 10 and Windows Server 2019 Tour PowerShell's core features, including the command model, object-based pipeline, and ubiquitous scripting Master fundamentals such as the interactive shell, pipeline, and object concepts Perform common tasks that involve working with files, Internet-connected scripts, user interaction, and more Solve tasks in systems and enterprise management, such as working with Active Directory and the filesystem
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 114
    Online Resource
    Online Resource
    Learning Tensorflow.js (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Combining the demand for AI with the ubiquity of JavaScript was inevitable. With Google's TensorFlow.js framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js and other tools Use resources to convert, train, and manage machine learning data Start building and training your own training models from scratch Learn how to create your own image classification models Examine transfer learning: retraining an advanced model to perform a new task
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 115
    Online Resource
    Online Resource
    AI and the Law (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (84 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Where is artificial intelligence taking us? Concerns over "responsible" innovation have spawned debates since big data appeared, but apprehension has grown considerably with widespread adoption of AI. This report examines the legal liability related to AI systems, including where responsibility should lie for adverse effects, loss of privacy, and other challenges. Author Karen Kilroy discusses why society needs to create laws and ethical governance frameworks for AI. Product directors, CIOs, CEOs, and risk officers will explore how AI is interpreted in law and policymaking, including issues such as privacy, negligence, liability, ethics, and entity management. This report also contains ideas for ensuring AI doesn't escape human control--and that people who control it act in a responsible manner. You'll learn: What AI is: learn its broad range of capabilities and applications, and AI's ability to influence users The trust deficit: understand the uneasiness people have about the prospect of being replaced or devalued by AI's rapid and often stealth introduction to society AI and the legal industry: explore how AI is used in law and explore the liability of autonomous AI Innovating responsibly: examine ways that companies can learn from past mistakes and create frameworks for responsible innovation in the future
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 116
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    Online Resource
    The Rise of the Knowledge Graph (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (85 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Businesses manage data to understand the connections between their customers, products or services, features, markets, and anything else that affects the business. With a knowledge graph, you can represent these connections directly to analyze and understand the compound relationships that drive business innovation. This report introduces knowledge graphs and examines their ability to weave business data and business knowledge into an architecture known as a data fabric . Authors Sean Martin, Ben Szekely, and Dean Allemang explain graph data and knowledge representation and demonstrate the value of combining these two things in a knowledge graph. You'll learn how knowledge graphs enable an enterprise-scale data fabric and discover what to expect in the near future as this technology evolves. This report also examines the evolution of databases, data integration, and data analysis to help you understand how the industry reached this point. Learn how graph technology enables you to represent knowledge and link it to data Understand how graph technology emphasizes the connected nature of data Use a data fabric to support other data-intensive tasks, including machine learning and data analysis Examine how a data fabric supports intense data-driven business initiatives more robustly than a simple database or data architecture
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 117
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    Online Resource
    Reactive Systems in Java (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (91 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Reactive systems and event-driven architecture are becoming essential to application design--and companies are taking note. Reactive systems ensure applications are responsive, resilient, and elastic no matter what failures, latency, or other errors may be occurring, while event-driven architecture offers a flexible and composable option for distributed systems. This practical resource helps you bring these approaches together using Quarkus, a Java framework that greatly simplifies the work developers must undertake for cloud deployments. This book covers how Quarkus 2.0 reactive features allow the smooth development of reactive systems. Clement Escoffier and Ken Finnigan from Red Hat show you how to take advantage of event-driven and reactive principles to build more robust distributed systems, reducing latency and increasing throughput, particularly in your microservices and serverless applications. Java developers will also get a foundation in Quarkus, enabling you to create truly Kubernetes-native applications for the cloud. Understand the fundamentals of reactive systems and event-driven architecture Learn how to use Quarkus to build reactive applications Combine Quarkus with Apache Kafka or AMQP to build reactive systems Develop microservices that utilize messages with Quarkus for use in event-driven architectures
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 118
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    Practical Weak Supervision (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Senja Filipi, and Wee Hyong Tok from Microsoft show you how to create products using weakly supervised learning models. You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies pursue ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get a practical overview of weak supervision Dive into data programming with help from Snorkel Perform text classification using Snorkel's weakly labeled dataset Use Snorkel's labeled indoor-outdoor dataset for computer vision tasks Scale up weak supervision using scaling strategies and underlying technologies
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 119
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    Learning Perl, 8th Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (394 pages)
    Edition: 8th edition
    Keywords: Electronic books ; local
    Abstract: If you're just getting started with Perl, this is the book you want--whether you're a programmer, system administrator, or web hacker. Nicknamed "the Llama" by two generations of users, this best seller closely follows the popular introductory Perl course taught by the authors since 1991. This eighth edition covers recent changes to the language up to version 5.34. Perl is suitable for almost any task on almost any platform, from short fixes to complete web applications. Learning Perl teaches you the basics and shows you how to write simple, single-file programs--roughly 90% of the Perl programs in use today. And each chapter includes exercises to help you practice what you've just learned. Other books may teach you to program in Perl, but this book will turn you into a Perl programmer. Topics include: Perl data and variable types Subroutines File operations Regular expressions String manipulation (including Unicode) Lists and sorting Process management Smart matching Use of third-party modules
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 120
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    Incident Metrics in SRE (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (34 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Site reliability engineers often use MTTx metrics to evaluate improvements or track trends. But is either MTTR ( mean time to recovery ) or MTTM ( mean time to mitigation ) ideal for decision making or trend analysis when it comes to production incidents? This report not only demonstrates how and why MTTx metrics come up short but also proposes ways to think about metrics differently to get the answers you want. Google SRE Google SRE Stepan Davidovic uses a Monte Carlo simulation to show how MTTx metrics are poorly suited for decision making or trend analysis in the context of production incidents. Applying these metrics is trickier than it seems and can be dangerously misleading in many practical scenarios. With this report, you'll explore alternative methods for achieving these measurements. Work with a simple model of the incident lifecycle and timings using empirical datasets Use an analytical approach to get a clear picture of what your incident durations look like Focus on narrow questions of the incident lifecycle rather than analyze incident statistics using MTTx Explore alternative methods for achieving your measurements
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Learning PHP, MySQL & JavaScript, 6th Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (296 pages)
    Edition: 6th edition
    Keywords: Electronic books ; local
    Abstract: Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. With the latest edition of this popular hands-on guide, you'll tackle dynamic web programming using the most recent versions of today's core technologies: PHP, MySQL, JavaScript, CSS, HTML5, and the powerful React and React Native libraries. Web designers will learn how to use these technologies together while picking up valuable web programming practices along the way--including how to optimize websites for mobile devices. Finally, you'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. Explore MySQL from database structure to complex queries Use the MySQL PDO extension, PHP's improved MySQL interface Create dynamic PHP web pages that tailor themselves to the user Manage cookies and sessions and maintain a high level of security Enhance JavaScript with the React and React Native libraries Use Ajax calls for background browser server communication Style your web pages by acquiring CSS skills Implement HTML5 features, including geolocation, audio, video, and the canvas Reformat your websites into mobile web apps
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Learning Domain-Driven Design (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (180 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Today, more than ever, building software is hard. Not only we have to chase ever-changing technological trends, but we also have to grasp business domains that we are building the software for. The latter is often overseen, and it explains why so many projects are doomed to fail. After all, how can you build a solution if you don't understand the problem? Through this book, you will learn the Domain-Driven Design (DDD) methodology which provides a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs. These include Ubiquitous Language, Bounded Contexts, Event Storming, and others. You will see how these practices not only lead to robust implementation of business logic, but also to future-proof software design and architecture. You will also learn the relationship between DDD and other methodologies to ensure that you are able to make architectural decisions that will meet the business needs. The final section puts all of this into practice using a real life story of implementing Domain-Driven Design in a startup company. Reading the book will allow you to use DDD for analyzing business domains, aligning software and business strategies, and making socio-technical design decisions. By the end of this book, you will be able to:-Build a shared understanding of a business domain-Analyze a company's business domain and competitive strategy-Decompose a system into bounded contexts-Coordinate the work of multiple teams working together-Gradually start implementing domain-driven design
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Continuous API Management, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: A lot of work is required to release an API. But overplanning before an API matures is a wasted investment, and underplanning can lead to disaster. If you're just starting to build an API program and want to understand the work ahead of you, or you need to learn how to manage your existing APIs, this updated second edition provides maturity models for individual APIs and multi-API landscapes. How do you balance agility and speed with the need for robust and scalable operations? Four API management experts show software architects, program directors, and product owners how to maximize the value of their APIs by managing them as products through a continuous lifecycle. Learn which API decisions you need to govern Design, deploy, and manage APIs using an API-as-a-product approach Examine the key pillars that form the foundation of API product work Learn how a continuous improvement model governs changes throughout an API's lifetime Explore the stages of a complete API product lifecycle Establish team roles needed to design, build, and maintain your APIs Manage and publish the set of APIs released by your organization
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Automating the Modern Data Warehouse (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The opportunity to modernize and improve the enterprise data warehouse is one of the best reasons for moving your application to the cloud. A data warehouse can access a greater diversity of use cases and practices than is possible in an existing environment. In this report, researcher and analyst Stephen Swoyer offers a comprehensive overview of the benefits and challenges of implementing a cloud-based data warehouse. Senior IT decision makers, chief data officers, and data professionals will learn about the shifts and new trends in the data management landscape. Explore ways to improve data management, build a data warehouse strategy, and learn how to modernize a data warehouse effectively. Understand how AI, machine learning, self-service data integration, and built-in developer-oriented services have transformed the data warehouse role Use data warehouses to work with cloud-based data lakes for end-to-end data management and data governance Explore how data warehouse platforms as a service (PaaS) pave the way to automation Migrate, manage, and secure a data warehouse in a hybrid or multicloud environment
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    A Practical Guide to Cloud Migration (2021)
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    Language: English
    Pages: 1 online resource (124 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Why do enterprises feel daunted when undertaking a large-scale cloud transformation? A move to the cloud usually offers substantial rewards. Once companies make this transition, they unlock new business opportunities that fundamentally change the way they work. With this report, members of the Google team will show you how to navigate the cultural and technological transformation required to migrate to the cloud. Although Google is a company born in the cloud, several team members came from organizations that had to painstakingly work through this transition. They share their hard-won experience as they guide you through 13 essays covering the different aspects of a successful cloud transformation, including: "Managing a Successful Transformation" by Andrew Gold, Strategic Cloud Engineer "Celebrating (and Tweaking) Your Culture" by Adrienne Walcer, Technical Program Manager, Google SRE "Framing Your Transformation with Clearly Articulated Policies" by Lydia Thomas, Solutions Consultant, and James Brookbank, Cloud Solutions Architect "Building Leadership Through Decider Groups" by Joseph Bironas, Solutions Architect "Developing Centers of Excellence" by Kuntal Mitra, Staff Solutions Consultant "Scaling Innovation" by Awais Malik, Infrastructure Cloud Consultant
    Note: Online resource; Title from title page (viewed February 28, 2021) , Mode of access: World Wide Web.
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    What Is Polycloud? (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (34 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Multicloud loosely describes an organization's use of more than one cloud provider, but the term doesn't reveal much beyond that. The polycloud model, on the other hand, addresses the recent trend by cloud providers to add differentiated capabilities that allow organizations to use different cloud providers for different purposes. Many organizations adopting a cloud strategy today are pursuing services that fit the new polycloud model. In this report, recognized industry thought leader Lee Atchison describes what polycloud is and how it compares to and differs from other cloud architectural models, including multicloud. C-suite and engineering executives will learn where, when, and how to take advantage of the polycloud paradigm. You'll also learn when to specifically avoid using it. Understand the advantages and disadvantages of using a polycloud architecture Explore examples of polycloud architectures for fictitious applications Review guidelines that can help you be successful with a polycloud architectural strategy Learn how to improve availability in a polycloud environment Explore examples of service-differentiated polycloud architectures Decide when you should use a polycloud rather than a multicloud or single cloud environment
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Cloud Native Application Security (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (55 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cloud native applications do more than just run on a different platform. The entire scope of these applications is different, including the methodologies and skills used to build them. Security practices for these applications need a transformation of equal magnitude. With this report, you'll learn how to adapt your practices to this new organizational reality by adopting a developer-first cloud native application security (CNAS) approach. Author Guy Podjarny explains this market transition and guides you through the organizational changes required to succeed, including alterations to security practices and tooling. Concrete examples not only help you learn the concepts but also act as an ideal way to get started in the process. By the end of this report, you'll understand why and how to embrace a CNAS approach. Initiate dev-first security by equipping developers with the mandate and tools to secure what they build during the development process Expand the scope of application security for cloud native apps to include controls that IT security previously handled Learn how adopting CNAS requires significant changes to the way you secure applications and infrastructure Adapt your organization to a dev-first CNAS approach by rethinking your security organizational structure, tooling, and priorities
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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    Understanding Log Analytics at Scale, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Using log analytics provides organizations with powerful and necessary capabilities for IT security. By analyzing log data, you can drive critical business outcomes, such as identifying security threats or opportunities to build new products. Log analytics also helps improve business efficiency, application, infrastructure, and uptime. In the second edition of this report, data architects and IT infrastructure leads will learn how to get up to speed on log data, log analytics, and log management. Log data, the list of recorded events from software and hardware, typically includes the IP address, time of event, date of event, and more. You'll explore how proactively planned data storage and delivery extends enterprise IT capabilities critical to security analytics deployments. Explore what log analytics is--and why log data is so vital Learn how log analytics helps organizations achieve better business outcomes Use log analytics to address specific business problems Examine the current state of log analytics, including common issues Make the right storage deployments for log analytics use cases Understand how log analytics will evolve in the future With this in-depth report, you'll be able to identify the points your organization needs to consider to achieve successful business outcomes from your log data.
    Note: Online resource; Title from title page (viewed May 10, 2021) , Mode of access: World Wide Web.
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    Umiejętności analityczne w pracy z danymi i sztuczną inteligencją (2021)
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    ISBN: 9788328373464
    Language: English , Polish
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Oto praktyczny przewodnik po wypróbowanej kompleksowej metodzie ułatwiającej przekładanie decyzji biznesowych na łatwe w realizacji, normatywne rozwiązania, oparte na danych i sztucznej inteligencji. Badacze danych, analitycy i menedżerowie znajdą tu techniki ułatwiające zadawanie właściwych pytań i generowanie wartości z wykorzystaniem nowoczesnych technologii AI i reguł decyzyjnych. Przedstawiono szczegóły procesu decyzyjnego, począwszy od pożądanych konsekwencji lub wyników, aby następnie cofnąć się do kwestii działań, które można podjąć, i skończyć na omówieniu problemów oraz szans pojawiających się w wyniku wpłynięcia na niepewność i przyczynowość. Opisano też, jak formułować i rozwiązywać problemy normatywne.
    Note: Online resource; Title from title page (viewed March 24, 2021) , Mode of access: World Wide Web.
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    Projektowanie głosowych interfejsów użytkownika (2021)
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    ISBN: 9788328370845
    Language: English , Polish
    Pages: 1 online resource (232 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: W tym przewodniku znajdziesz przegląd najważniejszych zasad projektowania interfejsów głosowych, a także opis narzędzi służących do tego celu. Poza najbardziej podstawowymi informacjami o mechanizmach rozpoznawania głosu omówiono złożone strategie rozumienia języka naturalnego, analizę nastroju, zbieranie danych oraz techniki przekształcania tekstu w mowę. W książce wyczerpująco opisano zagadnienia wydajności interfejsu VUI dowiesz się, co na tę wydajność wpływa i w jaki sposób można ją podnieść. Przedstawiono również problematykę systemów sterowanych głosowo, takich jak asystenty domowe czy interfejsy projektowane dla samochodów. Z przewodnika skorzystają zarówno menedżerowie oraz projektanci biznesowi, jak i projektanci interfejsów VUI, niezależnie od tego, czy samodzielnie piszą swoje VUI, czy korzystają z istniejących platform.
    Note: Online resource; Title from title page (viewed January 14, 2021) , Mode of access: World Wide Web.
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    Nauka Javy (2021)
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    ISBN: 9788328371286
    Language: English , Polish
    Pages: 1 online resource (464 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Ta książka jest praktycznym przewodnikiem dla każdego, kto chce zdobyć doświadczenie w tworzeniu rzeczywistych aplikacji w Javie. To również znakomity kurs programowania obiektowego dla początkujących, umożliwiający gruntowne zrozumienie podstaw języka Java i jego interfejsów API. Wyczerpująco opisano tu biblioteki klas, techniki programowania oraz idiomy. Nie zabrakło zaawansowanych zagadnień, takich jak wyrażenia lambda czy serwlety. W tym przejrzanym i zaktualizowanym wydaniu ujęto zmiany wprowadzone zarówno w wersji 11 Javy, jak i w przeglądowych wersjach 12, 13 i 14. Przedstawiono więc takie nowości jak interferencja typów w typach sparametryzowanych, ulepszenia w obsłudze wyjątków czy nowe środowisko testowe jshell.
    Note: Online resource; Title from title page (viewed February 17, 2021) , Mode of access: World Wide Web.
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    Mikrousługi oparte na zdarzeniach (2021)
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    ISBN: 9788328374393
    Language: English , Polish
    Pages: 1 online resource (288 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To praktyczny przewodnik, dzięki któremu samodzielnie ocenisz, jak dużą wartość biznesową mogą zyskać duże wolumeny danych, jeśli są wykorzystywane w organizacji przy użyciu architektury mikrousług opartych na zdarzeniach. Dowiesz się także, jak przygotować i przeprowadzić proces budowania organizacji, która wykorzystuje mikrousługi oparte na zdarzeniach. Poznasz wszechstronne, a przy tym proste wzorce odblokowujące wartość tych danych. W książce znalazło się również mnóstwo wskazówek i sugestii dotyczących projektowania systemu opartego na zdarzeniach, ponadto wyjaśniono tutaj kluczowe zasady architektoniczne. Wymieniono też przydatne narzędzia oraz opisano dokładnie techniki testowania mikrousług i wdrażania ich w środowisku produkcyjnym.
    Note: Online resource; Title from title page (viewed March 17, 2021) , Mode of access: World Wide Web.
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    Java (2021)
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    ISBN: 9788328370869
    Language: English , Polish
    Pages: 1 online resource (616 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Oto zbiór aktualnych i kompletnych receptur instruktażowych, z których każda pomaga w rozwiązaniu konkretnego problemu. Wszystkie zostały starannie przetestowane i wielokrotnie udowodniły swoją przydatność. Każdą poprzedzono krótkim wprowadzeniem i omówieniem zastosowanych mechanizmów działania. Ta książka nie jest klasycznym podręcznikiem programowania, jednak z pewnością przyśpieszy praktyczne wykorzystanie możliwości Javy. Wśród receptur znalazł się szeroki zakres zagadnień, od podstawowych operacji na ciągach znaków, poprzez programowanie funkcyjne, po komunikację sieciową, rozwiązania big data i współdziałanie z kodem napisanym w innych językach. W tym wydaniu uwzględniono zmiany wprowadzone w wersjach Javy 12, 13 i 14.
    Note: Online resource; Title from title page (viewed January 27, 2021) , Mode of access: World Wide Web.
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    Uczenie maszynowe w aplikacjach (2021)
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    ISBN: 9788328371866
    Language: English , Polish
    Pages: 1 online resource (224 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To książka przeznaczona dla programistów i menedżerów, którzy wśród rodzących się idei uczenia maszynowego wciąż poszukują rozwiązań dla swojego biznesu. Autor omawia krok po kroku proces tworzenia i wdrażania aplikacji opartej na uczeniu maszynowym, a praktyczne koncepcje przedstawia za pomocą przykładowych kodów, rysunków i wywiadów z liderami w tej dziedzinie. Podpowiada, jak planować aplikację i oceniać jej jakość. Wyjaśnia także, jak budować skuteczny model, i demonstruje metody jego systematycznego usprawniania, aż do momentu osiągnięcia celu. W końcowej części opisuje strategie wdrażania i monitorowania modelu. W odróżnieniu od innych pozycji poświęconych uczeniu maszynowym ten przewodnik skupia się przede wszystkim na definiowaniu problemów, diagnozowaniu modeli i ich wdrażaniu.
    Note: Online resource; Title from title page (viewed January 20, 2021) , Mode of access: World Wide Web.
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    Data Mesh (2021)
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    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Arduino (2021)
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    ISBN: 9788328371613
    Language: English , Polish
    Pages: 1 online resource (704 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Książka stanowi zbiór ponad dwustu receptur ułatwiających wykorzystanie potencjału Arduino 1.8. Jest dostosowana do potrzeb osób, które chcą po prostu szybko znaleźć rozwiązanie problemu ze sprzętem czy z kodem. Zawiera informacje potrzebne do pomyślnej realizacji szerokiej gamy projektów oraz dostosowania ich do szczególnych potrzeb. Nie ma tu przydługawych rozważań teoretycznych, za to są wskazówki pozwalające na błyskawiczne napisanie działającego kodu. Praktyczne receptury umożliwiające wykonanie wielu popularnych zadań przydadzą się zarówno adeptom Arduino, jak i doświadczonym programistom, którzy chcą skutecznie korzystać z niskopoziomowych zasobów kontrolera AVR.
    Note: Online resource; Title from title page (viewed March 3, 2021) , Mode of access: World Wide Web.
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    Knowledge Graphs (2021)
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    Language: English
    Pages: 1 online resource (85 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Applying knowledge in the right context is the most powerful lever businesses can use to become agile, creative, and resilient. Knowledge graphs add context, meaning, and utility to business data. They drive intelligence into data for unparalleled automation and visibility into processes, products, and customers. Businesses use knowledge graphs to anticipate downstream effects, make decisions based on all relevant information, and quickly respond to dynamic markets. In this report for chief information and data officers, Jesus Barassa, Amy E. Hodler, and Jim Webber from Neo4j show how to use knowledge graphs to gain insights, reveal a flexible and intuitive representation of complex data relationships, and make better predictions based on holistic information. Explore knowledge graph mechanics and common organizing principles Build and exploit a connected representation of your enterprise data environment Use decisioning knowledge graphs to explore the advantages of adding relationships to data analytics and data science Conduct virtual testing using software versions of real-world processes Deploy knowledge graphs for more trusted data, higher accuracies, and better reasoning for contextual AI Applying knowledge in the right context is the most powerful lever businesses can use to become agile, creative, and resilient. Knowledge graphs add context, meaning, and utility to business data. They drive intelligence into data for unparalleled automation and visibility into processes, products, and customers. Businesses use knowledge graphs to anticipate downstream effects, make decisions based on all relevant information, and quickly respond to dynamic markets. In this report for chief information and data officers, Jesús Barassa, Amy E. Hodler, and Jim Webber from Neo4j show how to use knowledge graphs to gain insights, reveal a flexible and intuitive representation of complex data relationships, and make better predictions based on holistic information. Explore knowledge graph mechanics and common organizing principlesBuild and exploit a connected representation of your enterprise data environmentUse decisioning knowledge graphs to explore the advantages of adding relationships to data analytics and data scienceConduct virtual testing using software versions of real-world processesDeploy knowledge graphs for more trusted data, higher accuracies, and better reasoning for contextual AI
    Note: Online resource; Title from title page (viewed July 30, 2021) , Mode of access: World Wide Web.
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    DevSecOps in Kubernetes (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (67 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Security is now everyone's job. Whether your system is cloud native or lives in the cloud with a traditional architecture, moving off premises has made security more complex than ever. To protect your assets, you should consolidate the groups involved in development, orchestration, and deployment, because they'll all have different insights. If your work touches any part of the software development lifecycle (SDLC), this report is for you. You'll learn how to integrate security measures into software development methodologies and architectural designs. Then you'll discover how DevSecOps helps you embed security into the SDLC to identify and address threats. Make your team and organization stronger, more resilient, and more secure by adopting the DevSecOps mindset. Pick the right team: essential if your cloud native design uses virtualized applications rather than virtualized systems Select the right tools: manage the entire virtualized application lifecycle with Kubernetes Automate everything you can: automation is testable to ensure you're using the right process Verify everything: use humans to confirm that the right things are happening Introduce security early: embed security in developer workflows Identify threats: use threat modeling in your application or system design
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Transforming Customer Data into Insights (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Chances are you purchased an order online in the past year and picked it up in the store or curbside. According to various estimates, 25% of US consumers tried curbside pickup by 2020, turning it into a $30- to $35-billion annual market. While COVID-19 certainly played a large part in this process, this shift toward a customer-first experience has been years in the making. With this report, CMOs, analysts, and business leaders will learn how to pursue customer-centric, data-driven marketing. You'll learn through case studies how organizations have adapted by providing a customer-first experience. In the chapters that follow, authors George Mount, Lynne Capozzi, and Karen Wood examine the challenges marketers face and the technology solutions that have risen as a result, including customer data platforms. Through the course of this report, you will: Learn how a customer data platform (CDP) will complement your business and existing martech stack Examine the top benefits you can expect from using a CDP, including customer experience, regulatory compliance, and business benefits Get advice on how to build a long-term strategy for using a CDP--and how to get going quickly
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Leveraging Tekton for Cloud Native CI/CD (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (30 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand the purpose, functioning, and advantages and disadvantages of incorporating Tekton into your technology stack and tooling framework. With this report, software developers and engineers will examine how Tekton stands out among today's continuous integration and continuous delivery (CI/CD) tools. Not only is Tekton cloud native--it also runs natively on Kubernetes. Exactly what gaps does Tekton fill in the Kubernetes ecosystem? What's its potential as a replacement for other tooling? And how can your business use it in a competitive market? Brent Laster, founder and president of Tech Skills Transformations, explains how Tekton provides a powerful and flexible open source framework for creating CI/CD systems, allowing developers to build, test, and deploy across cloud providers and on-premises systems alike. This report explains: How Tekton relates to Kubernetes When it makes sense to use Tekton--and when it doesn't Tekton integration and tooling, including the Tekton command line interface and the Tekton dashboard How to use Tekton pipelines and Tekton triggers Competitive advantages and challenges when using Tekton The outlook for Tekton going forward
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    Enterprise AIOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (95 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The mountains of data generated on a daily basis has vastly outstripped growth in the supply of technical analysts. How can your organization provide value from these data volumes with your existing analytical capabilities and staff? With this report, business leaders looking to move from small AI pilot projects to an enterprise-wide deployment will explore an AI operations engineering framework known as AIOps. Justin Neroda, Steve Escaravage, and Aaron Peters from Booz Allen Hamilton show you how to use this framework to develop AI tools, understand the importance of data management, and determine team roles and responsibilities. You'll learn how to unlock the incredible potential that lies within your organization's significantly growing data, deriving insights not obtainable just a few years ago. Understand the challenges of moving AI deployments from a pilot project to production Discover how an AIOps network can help you solve specific challenges on a case-by-case basis Learn the building blocks required for enterprise-scale AI Examine the principles of responsible AI and learn how to attain them Establish clear objectives and measure performance for AI initiatives Integrate different "Ops" methodologies, including DataOps and DevSecOps, to enable enterprise-wide AI solutions
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    Certified Kubernetes Application Developer (CKAD) Study Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Developers with the ability to operate, troubleshoot, and monitor applications in Kubernetes are in high demand today. To meet this need, the Cloud Native Computing Foundation created a certification exam to establish a developer’s credibility and value in the job market to work in a Kubernetes environment. The Certified Kubernetes Application Developer (CKAD) exam is different from the typical multiple-choice format of other certifications. Instead, the CKAD is a performance-based exam that requires deep knowledge of the tasks under immense time pressure. This study guide walks you through all the topics you need to fully prepare for the exam covering Kubernetes 1.18. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam. Learn when and how to apply Kubernetes concepts to manage an application Understand the objectives, abilities, and tips and tricks needed to pass the CKAD exam Explore the ins and outs of the kubectl command-line tool Demonstrate competency for performing the responsibilities of a Kubernetes application developer Solve real-world Kubernetes problems in a hands-on command-line environment Navigate and solve questions during the CKAD exam
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Observability Engineering (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (36 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Observability is critical for engineering, managing, and improving complex business-critical systems. Through this process, any software engineering team can gain a deeper understanding of system performance, so you can perform ongoing maintenance and ship the features your customers need. This practical book explains the value of observable systems and shows you how to build an observability-driven development practice. Authors Charity Majors and Liz Fong-Jones from Honeycomb explain what constitutes good observability, show you how to make improvements from what you’re doing today, and provide practical dos and don’ts for migrating from legacy tooling, such as metrics monitoring and log management. You’ll also learn the impact observability has on organization culture. You’ll explore: The value of practicing observability when delivering and managing complex cloud native applications and systems The impact observability has across the entire software engineering cycle Software ownership: how different functional teams help achieve system SLOs How software developers contribute to customer experience and business impact How to produce quality code for context-aware system debugging and maintenance How data-rich analytics can help you find answers quickly when maintaining site reliability
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Applied Natural Language Processing in the Enterprise (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: NLP is one of the hottest topics in AI today. Having lagged for years behind other deep learning fields such as computer vision, NLP only recently gained mainstream popularity. Google, Facebook, and OpenAI have open-sourced large pretrained language models, but many organizations today still struggle with building and adopting NLP applications. This hands-on guide helps you learn the process quickly. If you have a basic to intermediate understanding of machine learning and programming experience with Python, you’ll learn how to build and deploy real-world NLP applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai walk you through the process without bogging you down in theory. Understand how state-of-the-art NLP models work Learn the tools of the trade, including frameworks popular today Perform NLP tasks such as text classification, semantic search, and reading comprehension Solve problems using new models like transformers and techniques such as transfer learning Build NLP models from scratch with performance comparable or superior to out-of-the-box systems Deploy your models to production and maintain their performance Implement a suite of NLP algorithms using Python and PyTorch
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    PyTorch Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network development—from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, GCP, or Azure, and your ML models to mobile and edge devices. Learn basic PyTorch syntax and design patterns Create custom models and data transforms Train and deploy models using a GPU and TPU Train and test a deep learning classifier Accelerate training using optimization and distributed training Access useful PyTorch libraries and the PyTorch ecosystem
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    C# 9.0 Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (247 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: When you need answers about using C# 9.0, this tightly focused and practical book tells you exactly what you need to know without long intros or bloated samples. Succinct and easy to browse, this reference is an ideal quick source of information and can be used as a guide to get you rapidly up to speed if you know Java, C++, or an earlier C# version. All programs and code snippets are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 9.0 in a Nutshell , this pocket reference covers: C# fundamentals and features new to C# 9.0 Advanced topics like operator overloading, type constraints, nullable types, operator lifting, closures, patterns, and asynchronous functions LINQ: sequences, lazy execution, standard query operators, and query expressions Unsafe code and pointers, custom attributes, preprocessor directives, and XML documentation
    Note: Online resource; Title from title page (viewed January 20, 2021) , Mode of access: World Wide Web.
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    Smaller C (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: For makers looking to use the smallest controllers or wring the highest performance out of larger controllers, the C language is still the best option. This practical book provides a solid grounding in C basics for anyone who tinkers with programming microcontrollers. You'll explore many ways C enables developers and makers to get big results out of tiny devices. Author Marc Loy shows you how to write clean, maintainable C code from scratch. This language and its C++ cousin are still widely used to write low-level code for device drivers or operating systems. By understanding C syntax and quirks, you'll gain an enduring computer language literacy that will help you pick up new languages and styles more easily. Learn C fundamentals including data types, flow control, and functions Explore memory management including how programs work on small devices Understand answers provided in online forums such as Reddit or Stack Overflow Write efficient, custom C code that's both readable and maintainable Analyze the performance of your code and weigh optimizations Evaluate third-party libraries for use in your own projects Create your own libraries to share with others
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Practical MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (54 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: 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 learning Build production machine learning systems and maintain them Monitor, instrument, load-test, and operationalize machine learning systems Choose the correct MLOps tools for a given machine learning task Run machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Hacking Kubernetes (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (55 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Running cloud native workloads on Kubernetes can be challenging: keeping them secure is even more so. Kubernetes' complexity offers malicious in-house users and external attackers alike a large assortment of attack vectors. Hacking Kubernetes reviews defaults and threat models and shows how to protect against attacks. Securing your workloads is both essential and urgent, so this invaluable hands-on guide is available to you in this early release edition before it's available to the general public. It covers topics critical for cloud native security, detailing how to: Run Kubernetes securely, on both a strategic and an operational level Exploit Kubernetes default configurations and defend against these kinds of attacks Review Kubernetes clusters for security weaknesses Securely run arbitrary and untrusted code Harden the Kubernetes setup to defend against any and all possible threats
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    AI and Analytics at Scale (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (101 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Getting large-scale data-driven applications for AI and analytics into production doesn't have to be challenging. Technical managers, senior technologists, and implementers today often overlook fundamental aspects of design and data infrastructure—aspects that can make the difference between failed approaches and reliable, successful production systems. In this exclusive report, you'll learn which practices work—and which don't—at large and innovative companies that have successfully integrated AI and analytics into their workflows. Over the past two years, authors Ted Dunning and Ellen Friedman have worked with a wide range of businesses to deliver in-production systems at a large scale. You'll learn practices that have been particularly beneficial, including many that have been disregarded. Understand why AI is at its best when coupled with analytics Build successful production systems—running AI and analytics on the same infrastructure—at scale with less effort, pressure, and cost Apply aspects of a scale-efficient system, including a comprehensive data strategy, containerization, and scalability without scaling IT Focus on the increasingly popular topics of AI and edge computing Explore an example data infrastructure: HPE Ezmeral Data Fabric
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    Advancing into Analytics (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (234 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data analytics may seem daunting, but if you’re familiar with Excel, you have a head start that can help you make the leap into analytics. Advancing into Analytics will lower your learning curve. Author George Mount, founder and CEO of Stringfest Analytics, clearly and gently guides intermediate Excel users to a solid understanding of analytics and the data stack. This book demonstrates key statistical concepts from spreadsheets and pivots your existing knowledge about data manipulation into R and Python programming. With this practical book at your side, you’ll learn how to: Explore a dataset for potential research questions to check assumptions and to build hypotheses Make compelling business recommendations using inferential statistics Load, view, and write datasets using R and Python Perform common data wrangling tasks such as sorting, filtering, and aggregating using R and Python Navigate and execute code in Jupyter notebooks Identify, install, and implement the most useful open source packages for your needs And more
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Getting Started with InnerSource (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Welcome to InnerSource, the powerful movement for developing open source software within the walls of a single organization, where the "openness" of a project extends across teams inside the company. In this report, O’Reilly editor and author Andy Oram takes you inside InnerSource, first by reviewing the principles that make open source development successful, and then by describing how InnerSource has worked at PayPal, the leading Internet commerce facilitator. PayPal’s path to InnerSource involved a series of large-scale corporate decisions that included a conscious shift in tools and corporate culture. Through InnerSource, the company not only achieved faster development and better quality, but also created an environment of cross-team cooperation that encouraged programmers to contribute to any of PayPal’s development projects. You’ll learn specific advantages of the InnerSource strategy, including: Faster development: Programmers use unit tests, code coverage, and continuous integration to remove bugs at early stages Complete documentation: Code is documented better, both in-code comments and less formally on discussion lists Code reuse: Programmers across the organization understand the code and architecture of modules developed by other teams Cross-team collaboration: Contributions by members outside of the team are frictionless and rarely have to be rewritten Development with GitHub: GitHub maintains private repositories for in-house projects as well as public repositories for open source code
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Practical Machine Learning for Computer Vision (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (140 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: By using machine learning models to extract information from images, organizations today are making breakthroughs in healthcare, manufacturing, retail, and other industries. This practical book shows ML engineers and data scientists how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. Google engineers Valliappa Lakshmanan, Martin Görner, 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/Keras. This book also covers best practices to improve the operationalization of the models using end-to-end ML pipelines. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Trino : The Definitive Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (308 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino. Initially developed by Facebook, open source Trino is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Get started: Explore Trino's use cases and learn about tools that will help you connect to Trino and query data Go deeper: Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Put Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino
    Note: Online resource; Title from title page (viewed April 21, 2021) , Mode of access: World Wide Web.
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    Think Bayes, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Downey, Allen B. Think Bayes
    RVK:
    ST 601
    Keywords: Electronic books ; local
    Abstract: If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book's computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Product Management for AI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The increasing push to develop products that integrate AI puts the intersection of AI and product management into sharp focus. AI brings many challenges to traditional product management, including nondeterministic outcomes and the potential for bias against particular groups. These problems aren't insurmountable, but they're real, and they cause many projects to fail before they're deployed. In this report, authors Justin Norman, Pete Skomoroch, and Mike Loukides present four in-depth essays to help business leaders, AI specialists, and data scientists examine what makes AI different. Once you're familiar with the issues, you'll be better prepared to anticipate and solve the problems you face as you develop an AI project and shepherd it into production. Originally published in O'Reilly Radar, each of these essays provides helpful supporting examples. Essays include: "What You Need to Know about Product Management for AI," by Pete Skomoroch and Mike Loukides "Practical Skills for the AI Product Manager," by Pete Skomoroch, Mike Loukides, and Justin Norman "Bringing an AI Product to Market," by Pete Skomoroch, Mike Loukides, and Justin Norman "AI Product Management after Deployment," Mike Loukides and Justin Norman
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    PowerShell Pocket Reference, 3rd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (225 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: This portable reference to PowerShell summarizes the command shell and scripting language and provides a concise guide to the many tasks that make PowerShell so useful. If you're a busy administrator and don't have time to plow through huge books or in-depth online searches, this is the ideal on-the-job tool. Written by PowerShell team member Lee Holmes and excerpted from his PowerShell Cookbook, this edition offers up-to-date coverage of Windows PowerShell 5.1 and open source PowerShell Core up to 7 and beyond. Beginning with a guided tour of PowerShell, this handy guide covers: PowerShell language and environment Regular expression reference XPath quick reference .NET string formatting .NET DateTime formatting Selected .NET classes and their uses WMI reference Selected COM objects and their uses Standard PowerShell verbs
    Note: Online resource; Title from title page (viewed April 28, 2021) , Mode of access: World Wide Web.
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    Security and Microservice Architecture on AWS (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (143 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Security is usually an afterthought when organizations design microservices for cloud systems. Most companies today are exposed to potential security threats, but their response is more reactive than proactive. That leads to unnecessarily complicated architecture that's harder to implement and even harder to manage and scale. Author Gaurav Raje shows you how to build highly secure systems on AWS without increasing overhead. Ideal for cloud solution architects and software developers with AWS experience, this practical book starts with a high-level architecture and design discussion, then explains how to implement your solution in the cloud in a secure but frictionless manner. By leveraging the AWS Shared Responsibility Model, you'll be able to: Achieve complete mediation in microservices at the infrastructure level Implement a secure and reliable audit trail of all events within the system Develop architecture that aims to simplify compliance with various regulations in finance, medicine, and legal services Put systems in place that detect anomalous behavior and alert the proper administrators in case of a breach Scale security mechanisms on individual microservices independent of each other
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Operationalizing AI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (73 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Across industry sectors, both management and leaders see a yawning gap between the promised and delivered impact of data science projects and wonder why the discrepancy exists. It's simple, really. Companies rely on highly skilled and expensive data scientists to help them build predictive capabilities into their products and workflows, but they often think the data science team alone can lead the change. This report examines issues from several conversations the authors held with data science teams across industries, as well as those issues they've witnessed in their own experience as builders and leaders. Among their findings, the authors agreed that to shorten the production process, lower overhead, and reduce risk, organizations need a comprehensive understanding of how to build AI in a repeatable fashion. Technologists John J. Thomas, Paco Nathan, and William Roberts show data scientists how an organization and its technology work together to support their mission. Leaders of data science teams will examine how their organizations can transparently and seamlessly facilitate the delivery of data products. And business leaders will learn the value, both realized and potential, of introducing data science expertise in their organizations.
    Note: Online resource; Title from title page (viewed March 17, 2021) , Mode of access: World Wide Web.
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    Migrating Applications to the Cloud (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cloud environments provide many well-known advantages, including flexibility, scalability, reliability, and high availability. But a lot of businesses still find themselves running some or all of their application suites and databases on-premises. If your enterprise is considering a migration to the cloud, it's critical you evaluate ways to make the move without introducing new risks or complexities. This report provides a concise yet comprehensive overview of migrating applications to the cloud. IT decision makers will learn how to create a migration plan to fit their company's needs, using best practices, tools, and available services. Analyst Stephen Swoyer reviews the benefits of migrating to the cloud, from cost-effectiveness to the acceleration of new technology adoption. You'll understand the challenges involved in migration and learn how to create a strategy to reduce risks and increase the likelihood of success. This report explores: The benefits of cloud migration, including cost-effectiveness, security, and the quick adoption of new technologies How to craft a migration strategy to reduce risks when preparing to move any workload, data, or application to the cloud
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    Managing and Recovering Microsoft 365 Data (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (28 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With more employees working remotely today, Microsoft 365 has become a go-to solution for many companies. But protecting the data you create with this cloud-based software as a service (SaaS) is a shared responsibility: while Microsoft takes care of the underlying infrastructure, organizations are responsible for managing and protecting their own data. Microsoft 365 provides several options for backing up your data, but choosing the right solution can be difficult. In this short report, 19-time Microsoft MVP Brien Posey takes management-level users through potential data-loss threats, such as ransomware and employee mistakes. You'll then dive into the pros and cons of Microsoft's native data management tools and assess several options for architecting a Microsoft 365 backup strategy. Explore Microsoft 365 recovery tools, including their limitations Understand how Microsoft 365's shared responsibility model works Take a quick tour of Microsoft's native data management tools Learn about potential data-loss threats, including both external and internal risks Design a backup strategy for your data by determining which Microsoft 365 capabilities you need
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 162
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    Head First Java, 3rd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (688 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: What will you learn from this book? Ready to learn Java? This book combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It's fast, it's fun, and it's effective. And despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You'll learn everything from the fundamentals to advanced topics. The new third edition brings the book up-to-date for Java 8-17, including major recent updates to the Java language and development platform. Java has seen some deep code-level changes and more modern approaches, requiring even more careful study and implementation. So learning the Head First way is more important than ever. 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 Java through a multi-sensory experience that engages your mind rather than a text-heavy approach that puts you to sleep.
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Design Patterns for Cloud Native Applications (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (282 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will gain experience building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Sriskandarajah Suhothayan and Kasun Indrasiri highlight use cases that effectively demonstrate the challenges you could encounter at each step. Explore the issues you're likely to deal with when building highly scalable cloud native applications Learn design patterns for addressing these issues--and best practices to help you apply them Examine the tools and technologies essential for building cloud native systems Implement scalable cloud native applications that are manageable and maintainable Use patterns for building applications that are appropriate for specific use cases
    Note: Online resource; Title from title page (viewed May 21, 2021) , Mode of access: World Wide Web.
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    AI Adoption in the Enterprise 2021 (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (23 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: There's no question: more people are using AI than ever before, and companies across industries are striving to get AI projects up and running. But how many have actually put revenue-bearing products into production? And how does your own organization measure up? In this new report, Mike Loukides, O'Reilly's vice president of content strategy, shares the results of a recent survey on how companies are adopting AI. You'll learn how (and where) AI use has grown over the past year, the significant barriers that remain, and the techniques and tools developers are--or should be--using for their applications.
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    97 Things Every Data Engineer Should Know (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Take advantage of the sky-high demand for data engineers today. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey from MIT Open Learning, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Projects include: Building pipelines Stream processing Data privacy and security Data governance and lineage Data storage and architecture Ecosystem of modern tools Data team makeup and culture Career advice
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    AI and Machine Learning On-Device Development (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (124 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating models and running them on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today. Explore the options for implementing ML and AI on mobile devices--and when to use each Create ML models for iOS and Android Write ML Kit and TensorFlow Lite apps for iOS and Android and Core ML/Create ML apps for iOS Understand how to choose the best techniques and tools for your use case: on-device inference versus cloud-based inference, high-level APIs versus low-level APIs, and more Learn privacy and ethics best practices for ML on devices
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    97 Things Every Information Security Professional Should Know (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: 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. Get started whether you're new to the infosec space or want to pivot onto a different path Assess your organization's security posture Understand and implement security and risk management controls Effectively communicate the importance of infosec to C-level executives Build and scale an infosec team and program Evaluate return on investment including progress, adoption, and risks mitigated, and relay this information back to stakeholders
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    Changing Mindsets : The Missing Ingredient to Digital Transformation (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (56 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most organizations are toiling away at their digital transformation strategy. Many have created enclaves of digital innovation, but few have modernized the entire organization. Why? They start with practices and technologies before changing the most important part: their organization's mindset. Executives in these organizations voice the same complaint: how do you get your people to actually change? In this report, Michael Cote discusses how you can change your company's mindset from thinking about producing software to thinking about the purpose of software. Do you usually celebrate the completion of a software project? Or when the business runs better because of your software? That mindset shift has to start with people at the top. With this report, you will: Learn how to think about software as a product rather than software as a project Explore a collection of mindset shifts, practices, and "thought technologies" to help you think and act differently Help managers change the way they think about their daily tasks, goals, and staff Examine case studies that reveal why this transformation is successful, straightforward, and well documented
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Mapowanie historyjek użytkownika (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9788328379183
    Language: English , Polish
    Pages: 1 online resource (256 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Podczas projektowania wielu procesów produkcyjnych, łącznie z budową oprogramowania, za kluczowe kryteria uznaje się szybkość wykonywania zadań, wydajność czy niskie koszty. Tymczasem opracowanie produktu o wyjątkowej wartości rynkowej wymaga nieco innego podejścia. Celem produkcji nie jest przecież produkcja sama w sobie. Aby kiedyś osiągnąć wysokie zyski, planowanie procesów produkcji musi opierać się na wymaganiach użytkowników, bez zatracania się w szczegółach produktu. To jest właśnie myśl przewodnia metody mapowania historyjek użytkownika tworzonych na potrzeby procesów agile.
    Note: Online resource; Title from title page (viewed April 7, 2021) , Mode of access: World Wide Web.
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    Financial Theory with Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Nowadays, finance, mathematics, and programming are intrinsically linked. Financial Theory with Python provides relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance. Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance , Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other. Draw upon mathematics to learn the foundations of financial theory and Python programming Learn about financial theory, financial data modeling, and the use of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python programming concepts Utilize both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision making, equilibrium, and asset allocation Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, matplotlib, and SymPy
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Encyklopedia elementów elektronicznych (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9788328369443
    Language: English , Polish
    Pages: 1 online resource (274 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To książka przeznaczona dla początkujących i zaawansowanych elektroników, zarówno inżynierów, jak i hobbystów. Zawiera starannie zebrane, skompletowane, uporządkowane, a co najważniejsze, sprawdzone i potwierdzone informacje o elementach elektronicznych. Pierwszy z trzech tomów obejmuje informacje o podstawowych elementach, wykorzystywanych chyba we wszystkich projektach. Materiał został uzupełniony licznymi fotografiami, schematami i wykresami. Dowiesz się stąd, do czego służy każdy z prezentowanych podzespołów, jak działa, dlaczego jest przydatny i w jakich odmianach występuje. Nawet jeśli masz duże doświadczenie w dziedzinie elektroniki, znajdziesz tu mnóstwo przydatnych szczegółów, o których nie miałeś pojęcia, a które z pewnością ułatwią Ci tworzenie wspaniałych projektów.
    Note: Online resource; Title from title page (viewed February 12, 2021) , Mode of access: World Wide Web.
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    AI-Driven Testing (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Software testing is expensive. Through up-front and recurring investment in labor and assets, organizations spend roughly half of their engineering budget on testing activities. The good news is that automated testing efforts have begun to improve through recent advances in AI and machine learning. With this report, you'll learn how AI-driven approaches are helping organizations overcome problems that traditional automated testing tools can't touch. Author Tariq King, chief scientist at test.ai, helps you examine several AI-driven solutions for software testing issues. You'll explore the application of AI and ML to functional, structural performance, and user design testing, and then dive into techniques for automating graphically intensive solutions such as video streaming and gaming applications. You'll learn the current benefits and limitations of AI-driven testing, available applications, and insights into the future of this new and emerging discipline. Learn the challenges and limitations of traditional approaches to software test automation Explore how AI is advancing the state of the art in automated functional, structural, performance, and user design testing in several application domains Examine the costs, benefits, and possible applications of AI-driven testing Look at ways that AI-driven test automation tools will evolve over the next decade
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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    Deep learning i modelowanie generatywne (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9788328372832
    Language: English , Polish
    Pages: 1 online resource (264 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Ta książka jest praktycznym przewodnikiem przeznaczonym dla inżynierów uczenia maszynowego i analityków danych. W jasny i przystępny sposób omówiono w niej zasadnicze zagadnienia teorii modelowania generatywnego, a następnie zaprezentowano techniki stosowane do budowy modeli generatywnych, włącznie z ogólnym opisem uczenia głębokiego, wariacyjnych autoenkoderów i generatywnych sieci antagonistycznych (GAN). Na tej podstawie — z wykorzystaniem biblioteki Keras — pokazano wewnętrzne funkcjonowanie każdej z tych technik, łącznie z najbardziej nowatorskimi architekturami. Opisano krok po kroku sposoby rozwiązywania takich twórczych zadań jak malowanie, pisanie i komponowanie muzyki, a także zastosowania modelowania generatywnego do optymalizacji strategii grania w gry (modele World).
    Note: Online resource; Title from title page (viewed March 17, 2021) , Mode of access: World Wide Web.
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    The Framework for ML Governance (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most companies don't have problems building and deploying algorithmic models, but they do struggle to effectively manage them in production. Maximizing the value of machine learning projects in the enterprise requires a robust MLOps program. But there's one key challenge: The problem MLOps sets out to solve isn't just about technology. It's also about process. In this report, Kyle Gallatin defines a framework for ML governance--a comprehensive strategy to help your organization deliver real business value with your MLOps program. While MLOps provides a set of best practices and tools that let you deliver ML at scale, ML governance is how you control and manage those practices and tools. This report shows infrastructure and operations (IO) leaders and CTOs how to approach AI projects in a way that adds value from start to finish. Approach ML governance with a consistent framework that covers ML operations and ML development Dive deep into specifics for implementing governance throughout the ML life cycle Understand why governing the delivery and operations stages are the most difficult parts of a comprehensive ML governance strategy Explore ways to involve the right stakeholders to set up an ML governance program
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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    OpenShift for Developers, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Ready to build cloud native applications? Get a rapid, hands-on introduction to daily life as a developer whose code runs on OpenShift, the open source container application platform from Red Hat. Creating and containerizing your apps for deployment on modern distributed systems can be daunting. With this practical guide, developers will learn how to build, deploy, and manage a multitiered application on OpenShift. Authors Joshua Wood and Brian Tannous, principal developer advocates at Red Hat, demonstrate how OpenShift speeds application development. With the Kubernetes container orchestrator at its core, OpenShift simplifies and automates the way you build, ship, and run your code. Throughout this book, you'll learn how to use OpenShift and the Quarkus Java framework to develop and deploy apps using proven enterprise technologies. Explore core OpenShift technologies, including containers and Kubernetes Learn the development cycles for building and deploying on OpenShift Build and deploy a multitiered application on OpenShift and manage its ongoing lifecycle Use a fast and iterative development cycle, with the Kubernetes platform as the deployment target Create a continuous integration and deployment pipeline to build and deploy application source code on OpenShift Automate scale, build, and deployment processes using OpenShift's developer features and webhooks
    Note: Online resource; Title from title page (viewed September 9, 2021) , Mode of access: World Wide Web.
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    Learning and Operating Presto (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this distributed SQL query engine can be challenging even for the most experienced engineers. This practical book shows you how to begin Presto operations at your organization to derive insights on datasets wherever they reside. Authors Vivek Bharathan, David Simmen, and George Wang explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You’ll discover why Facebook, Uber, Twitter, and cloud providers including AWS, Google Cloud, and Alibaba use Presto and how you can quickly deploy Presto in production. You’ll learn about: Presto security and administration Syntax and connectors Top 15 key configuration parameters Clusters and tuning Troubleshooting: logs, error messages, and more Extending Presto for real-time business insight Extending PrestoDB
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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    Fluent Python, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (266 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Python’s simplicity lets you become productive quickly, but often this means you aren’t using everything it has to offer. With the updated edition of this hands-on guide, you’ll learn how to write effective, modern Python 3 code by leveraging its best ideas. Don’t waste time bending Python to fit patterns you learned in other languages. Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python’s core language features and libraries and teaches you how to make your code shorter, faster, and more readable. Featuring major updates throughout the book, Fluent Python, second edition, covers: Special methods: The key to the consistent behavior of Python objects Data structures: Sequences, dicts, sets, Unicode, and data classes Functions as objects: First-class functions, related design patterns, and type hints in function declarations Object-oriented idioms: Composition, inheritance, mixins, interfaces, operator overloading, static typing and protocols Control flow: Context managers, generators, coroutines, async/await, and thread/process pools Metaprogramming: Properties, attribute descriptors, class decorators, and new class metaprogramming hooks that are simpler than metaclasses
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    Building Micro-Frontends (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Micro-frontends are the answer to today’s increasingly complex web applications. Inspired by the microservices model, this approach lets organizations break interfaces into separate features managed by different teams of developers. In this practical guide, Luca Mezzalira shows software architects and senior developers how to build and deliver artifacts atomically rather than use a big bang deployment structure. You'll learn how this architecture allows different teams to choose any library or framework for their micro-frontends without affecting existing components. This gives your organization technical flexibility and enables 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. Explore the technological impact of micro-frontends in your organization Learn how to identify, generate, and orchestrate micro-frontends Identify areas of an application UI that individual teams can handle Understand and manage the complexity that micro-frontends bring inside an organization Establish end-to-end automation for building and deploying micro-frontends using the strangler pattern
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Tableau Prep : Up & Running (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (44 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Based on the popular blog Preppin’ Data , this practical guide takes you step-by-step through the fundamentals of data preparation using this popular tool. Carl Allchin from the Data School in London provides a series of lessons to get you up to speed on Tableau Prep, including methods for cleaning and organizing your datasets. In just a short time, this tool has filled a valuable niche for self-service data preparation in the same way Tableau Desktop has for self-service data analytics. This book gets you started with Tableau Prep right away. Learn fundamental data preparation strategies for approaching complex challenges Understand how to apply those skills in more depth with Tableau Prep Manage projects that require data preparation with more confidence Learn how Tableau Prep will empower you to make informed decisions
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Head First Android Development, 3rd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: What will you learn from this book? If you have an idea for a killer Android app, this fully revised and updated edition will get you up and running in a jiffy. You’ll go beyond syntax and how-to manuals and learn how to think like a great Android developer. This hands-on book teaches you everything from designing layouts to the latest features of Android Jetpack. It’s like having an experienced Android developer sitting right next to you! If you have some Kotlin know-how, you’re ready to get started. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Android Development uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works.
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 181
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    AI-First Healthcare (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (69 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations-without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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    Kafka : The Definitive Guide, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book's updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafka's AdminClient API, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: How publish-subscribe messaging fits in the big data ecosystem Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    Learning Go (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Go is rapidly becoming the preferred language for building web services. There are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages. But tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner explains the rationale behind the Go team's design decisions and reveals design patterns that experienced Go developers have adopted. You'll learn how to structure your project and choose the proper tools and libraries to create successful software. Learn how to write idiomatic code in Go and design a Go project Understand the reasons for the design decisions in Go Set up a Go development environment for a solo developer or team Explore which libraries to select when solving problems Learn how Go's features allow the language to run efficiently Know which Go features you should use sparingly, or not at all
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    Data Governance : The Definitive Guide (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    Data Pipelines Pocket Reference (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (110 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    UX Strategy, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (55 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: User experience (UX) strategy requires a careful blend of business strategy and UX design, and this hands-on guide offers an easy-to-apply framework for executing it. This updated edition introduces strategy tools and techniques to help you and your team craft innovative products that people want to use. You'll find new chapters on growth design and digital transformation. Whether you're an entrepreneur, UX/UI designer, product manager, or part of an intrapreneurial team, this book teaches simple-to-advanced strategies that you can use in your work right away. Along with business cases, historical context, and real-world examples throughout, you'll also gain different perspectives on the subject through cases studies and up-to-date interviews with top strategists. Define and validate target users through provisional personas and customer discovery techniques Conduct competitive research and analysis to explore a crowded marketplace and create unique value Focus your team on the primary utility and business model of your product by running structured experiments using efficient prototyping tools Learn how to conduct guerrilla user research online to get valuable insights on a small budget Devise UX funnels that increase customer engagement by mapping desired user actions to meaningful metrics
    Note: Online resource; Title from title page (viewed January 25, 2021)
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    Cloud Native Go (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (28 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations. Each chapter builds on the lessons of the last, walking intermediate to advanced developers through Go to construct a simple but fully featured distributed key-value store. You'll learn best practices for adopting Go as your cloud native development language for solving cloud native management and deployment issues. Learn how cloud native applications differ from other software architectures Understand how Go can solve the challenges of designing scalable, distributed services Leverage Go's lower-level features, such as channels and goroutines, to implement a reliable cloud native service Explore what "service reliability" is and what it has to do with "cloud native" Apply a variety of patterns, abstractions, and tooling to build and manage complex distributed systems
    Note: Online resource; Title from title page (viewed January 25, 2021)
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    Scala Cookbook, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Save time and trouble building object-oriented, functional, and concurrent applications with Scala 3. The latest edition of this comprehensive cookbook is packed with more than 250 ready-to-use recipes and 700 code examples to help you solve the most common problems when working with Scala and its popular libraries. Whether you're working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for experienced Scala developers and for programmers just learning to use this JVM language. Author Alvin Alexander includes practical solutions from his experience using Scala for highly scalable applications that support concurrency and distribution. Recipes cover: Strings, numbers, and control structures Classes, methods, objects, traits, packaging, and imports Functional programming in a variety of situations Building Scala applications with sbt Collections covering Scala's wealth of classes and methods Actors and concurrency List, array, map, set, and more Files, processes, and command-line tasks Web services and interacting with Java Databases and persistence, data types and idioms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    Building Microservices, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures. Author Sam Newman provides you with a firm grounding in the concepts while diving into the latest solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Through real-world examples, you'll learn how organizations worldwide are getting the most out of these architectures. Microservices technologies are moving quickly. This book brings you up to speed. Get new information on user interfaces, container orchestration, and serverless Use microservices to align system design with your organization's goals Explore options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with expanded content around user-to-service and service-to-service models Understand the challenges of scaling microservices architectures
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    Behavioral Data Analysis with R and Python (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren't that specific, so customer data is treated the same way as, for example, astronomical or genomic data. This practical guide introduces powerful methods for behavioral data analysis that you're probably not aware of. Advanced experimental design will help you get the most out of your A/B tests, while causal diagrams will allow you to tease out causality from correlation even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data-immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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    Data Science on AWS (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (122 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale. The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days. Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka
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    Python for Algorithmic Trading (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM platforms
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    Mastering Kafka Streams and ksqlDB (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (84 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn: Basic and advanced uses of Kafka Streams and ksqlDB How to transform, enrich, and process event streams How to build both stateless and stateful stream processing applications The different notions of time and the role it plays in stream processing How to to build event-driven microservices on top of continuous event streams Features, operational characteristics, deployment patterns, and configuration tips for both technologies
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    AI and Machine Learning for Coders (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
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    Learning the vi and Vim Editors, 8th Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: |o|9781492078807
    Language: English
    Pages: 1 online resource (43 pages)
    Edition: 8th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: vi and its derivatives are perhaps the most important family of text editors in the programming community. With this updated guide, Unix and Linux users will learn text editing basics for both vi and Vim ("vi improved") before moving onto advanced editing tools for each editor. Authors Elbert Hannah and Arnold Robbins cover the latest major releases of Vim, including 7.4, 8.0, and 8.2. Whether you're a programmer or computer analyst or you work with browsers or command-line interfaces, you'll examine multiwindow editing, global search and replacement, power tools for programmers, and how to write interactive macros and scripts to extend the editor-all in the easy-to-follow style that's made this book a classic. Go beyond the basics to learn which vi commands fit your specific needs Learn advanced vi tools that shift some of the editing burden to the computer Explore Vim tools that provide major improvements over vi Examine Vim's multiwindow editing feature, a significant upgrade over vi Use Vim scripts to customize and tailor Vim to suit your needs Look at Vim in modern GUI environments with Graphical Vim (gvim)
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 196
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    Spring Boot : Up and Running (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (74 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With over 75 million downloads per month, Spring Boot is the most widely used Java framework available. Its ease and power have revolutionized application development from monoliths to microservices. Yet Spring Boot's simplicity can also be confusing. How do developers learn enough to be productive immediately? This practical book shows you how to use this framework to write successful mission-critical applications. Mark Heckler from VMware, the company behind Spring, guides you through Spring Boot's architecture and approach, along with topics such as debugging, testing, and deployment. If you want to develop cloud native Java or Kotlin applications with Spring Boot rapidly and effectively-using reactive programming, building APIs, and creating database access of all kinds-this book is for you. Learn how Spring Boot simplifies cloud native application development and deployment Build reactive applications and extend communication across the network boundary to create distributed systems Understand how Spring Boot's architecture and approach increases developer productivity and application portability Deploy Spring Boot applications for production workloads rapidly and reliably Monitor application and system health for optimal performance and reliability Debug, test, and secure cloud-based applications painlessly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 197
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    Programming Rust, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (622 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust's rules clearly and economically. You'll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Rust's all-purpose Cargo tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 198
    Online Resource
    Online Resource
    React : Up & Running, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (222 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With the second edition of this practical guide, Stoyan Stefanov-designer of the YSlow 2.0 performance tool-shows you how to build React components and organize them into maintainable, large-scale apps. If you're familiar with basic JavaScript syntax, you're ready to get started. Through the course of the book, web developers and programmers will build a complete custom app that lets you store data on the client. You'll quickly learn why some developers consider React the key to the web app development puzzle.
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 199
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    Machine Learning Design Patterns (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (158 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 200
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    OpenShift in Production (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. When it comes to operating and scaling OpenShift, you need to understand how to manage and expose resources to application teams and how to continuously deliver changes to applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. This book shows you how to: Manage multiple teams in their use of OpenShift and Kubernetes Promote the efficient use of data center resources Deliver highly available applications and services Manage application tenancy throughout the enterprise Provide multicluster management and high availability Apply continuous updates to OpenShift and Kubernetes Devise and deliver disaster recovery strategies
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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