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  • MPI Ethno. Forsch.  (5,853)
  • MPI-MMG
  • MARKK
  • OLC Ethnologie
  • 2020-2024  (5,853)
  • Boston, MA : Safari  (5,815)
  • Birmingham, UK : Packt Publishing
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  • MPI Ethno. Forsch.  (5,853)
  • MPI-MMG
  • MARKK
  • OLC Ethnologie
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Material
Language
Years
Year
  • 1
    ISBN: 9781837630707 , 1837630704 , 9781837638406
    Language: English
    Pages: 1 online resource (472 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 004.67/82
    Keywords: Cloud computing Security measures ; Infonuagique ; Sécurité ; Mesures
    Abstract: Strengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environment Key Features Choose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirements Optimize your security posture with expert techniques for in-depth cloud security insights Improve your security compliance score by adopting a secure-by-design approach and implementing security automation Purchase of the print or Kindle book includes a free PDF eBook Book Description This book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that'll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures. The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you'll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting. As you progress, you'll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You'll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments. By the end of this book, you'll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations. What you will learn Find out how to deploy and onboard cloud accounts using CSPM tools Understand security posture aspects such as the dashboard, asset inventory, and risks Explore the Kusto Query Language (KQL) and write threat hunting queries Explore security recommendations and operational best practices Get to grips with vulnerability, patch, and compliance management, and governance Familiarize yourself with security alerts, monitoring, and workload protection best practices Manage IaC scan policies and learn how to handle exceptions Who this book is for If you're a cloud security administrator, security engineer, or DevSecOps engineer, you'll find this book useful every step of the way--from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book.
    Note: Includes bibliographical references and index
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  • 2
    ISBN: 1835084842 , 9781835084847 , 9781835080542
    Language: English
    Pages: 1 online resource (xix, 794 pages) , illustrations
    Edition: Third edition.
    Series Statement: Expert insight
    DDC: 005.13/3
    Keywords: C++ (Computer program language) ; Computer programming ; C++ (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: The updated third edition of Modern C++ Programming Cookbook addresses the latest features of C++23, such as the stack library, the expected and mdspan types, span buffers, formatting library improvements, and updates to the ranges library. It also gets into more C++20 topics not previously covered, such as sync output streams and source_location. The book is organized in the form of practical recipes covering a wide range of real-world problems. It gets into the details of all the core concepts of modern C++ programming, such as functions and classes, iterators and algorithms, streams and the file system, threading and concurrency, smart pointers and move semantics, and many others. You will cover the performance aspects of programming in depth, and learning to write fast and lean code with the help of best practices. You will explore useful patterns and the implementation of many idioms, including pimpl, named parameter, attorney-client, and the factory pattern. A chapter dedicated to unit testing introduces you to three of the most widely used libraries for C++: Boost.Test, Google Test, and Catch2. By the end of this modern C++ programming book, you will be able to effectively leverage the features and techniques of C++11/14/17/20/23 programming to enhance the performance, scalability, and efficiency of your applications.
    Note: Includes index
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  • 3
    ISBN: 9781837636099 , 1837636095 , 9781837630141
    Language: English
    Pages: 1 online resource (434 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 332.0285/58
    Keywords: Finance Data processing ; Finance Computer programs ; Security measures ; Computer security ; Finances ; Informatique ; Sécurité informatique
    Abstract: Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues Find out how to detect fraudulent transactions affecting financial report integrity Book Description Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally. What you will learn Develop a customized financial data quality scorecard Utilize business intelligence tools to detect, manage, and resolve data integrity issues Find out how to use managed cloud-based ledger databases for financial data integrity Apply database locking techniques to prevent transaction integrity issues involving finance data Discover the methods to detect fraudulent transactions affecting financial report integrity Use artificial intelligence-powered solutions to resolve various data integrity issues and challenges Who this book is for This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it'll help you grasp the more advanced topics covered in this book.
    Note: Includes bibliographical references and index
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  • 4
    ISBN: 9781804614327 , 1804614327 , 9781804612583
    Language: English
    Pages: 1 online resource (300 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.1
    Keywords: Software engineering ; Programming languages (Electronic computers) ; Génie logiciel
    Abstract: Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book Description Most data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You'll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You'll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices. What you will learn Set up your development environment to build pipelines in Scala Get to grips with polymorphic functions, type parameterization, and Scala implicits Use Spark DataFrames, Datasets, and Spark SQL with Scala Read and write data to object stores Profile and clean your data using Deequ Performance tune your data pipelines using Scala Who this book is for This book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.
    Note: Includes index
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  • 5
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781805128137
    Language: English
    Pages: 1 online resource (306 pages) , illustrations
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Asynchronous transfer mode
    Abstract: Get a fundamental understanding of asynchronous programming and Rust's futures by working through examples that show you how everything really works Key Features Master asynchronous Rust through examples focusing on key concepts Build a solid understanding of concepts such as coroutines, fibers, futures, and callbacks Explore Rust's futures, craft your own runtime, and excel in handling stacks, ABIs, syscalls, and inline assembly Purchase of the print or Kindle book includes a free PDF eBook Book Description Step into the world of asynchronous programming with confidence by conquering the challenges of unclear concepts with this hands-on guide. Using functional examples, this book simplifies the trickiest concepts, exploring goroutines, fibers, futures, and callbacks to help you navigate the vast Rust async ecosystem with ease. You'll start by building a solid foundation in asynchronous programming and explore diverse strategies for modeling program flow. The book then guides you through concepts like epoll, coroutines, green threads, and callbacks using practical examples. The final section focuses on Rust, examining futures, generators, and the reactor-executor pattern. You'll apply your knowledge to create your own runtime, solidifying expertise in this dynamic domain. Throughout the book, you'll not only gain proficiency in Rust's async features but also see how Rust models asynchronous program flow. By the end of the book, you'll possess the knowledge and practical skills needed to actively contribute to the Rust async ecosystem. What you will learn Explore the essence of asynchronous program flow and its significance Understand the difference between concurrency and parallelism Gain insights into how computers and operating systems handle concurrent tasks Uncover the mechanics of async/await Understand Rust's futures by implementing them yourself Implement green threads from scratch to thoroughly understand them Who this book is for This book is for programmers who want to enhance their understanding of asynchronous programming, especially those experienced in VM'ed or interpreted languages like C#, Java, Python, JavaScript, and Go. If you work with C or C++ but have had limited exposure to asynchronous programming, this book serves as a resource to broaden your knowledge in this area. Although the examples are predominantly in Rust, the intricacies of Rust's futures are covered in detail. So, anyone with a keen interest in learning Rust or with working knowledge of Rust will be able to get the most out of this book.
    Note: Includes index
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  • 6
    ISBN: 9781837631100 , 1837631107 , 9781837631971
    Language: English
    Pages: 1 online resource (270 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.3
    Keywords: Web applications Development ; Applications Web ; Développement
    Abstract: Unleash the full potential of Angular 17 to create more robust and feature-rich applications effortlessly Key Features Boost your Angular app development productivity by leveraging often-overlooked advanced features and best practices Enhance the quality of your Angular applications by simplifying code Gain practical knowledge through real-world examples of advanced Angular features and design patterns Purchase of the print or Kindle book includes a free PDF eBook Book Description Single page applications (SPAs) have become the standard for most web experiences. Angular, with its batteries-included approach, has emerged as a powerful framework for simplifying the development of these interfaces by offering a comprehensive toolbox. This book guides you through the Angular ecosystem, uncovering invaluable design patterns and harnessing its essential features. The book begins by laying a strong foundation, helping you understand when and why Angular should be your web development framework of choice. The next set of chapters will help you gain expertise in component design and architecting efficient, flexible, and high-performing communication patterns between components. You'll then delve into Angular's advanced features to create forms in a productive and secure way with robust data model typing. You'll also learn how to enhance productivity using interceptors to reuse code for common functionalities, such as token management, across various apps. The book also covers micro frontend architecture in depth to effectively apply this architectural approach and concludes by helping you master the art of crafting tests and handling errors effortlessly. By the end of this book, you'll have unlocked the full potential of the Angular framework. What you will learn Discover effective strategies for organizing your Angular project for enhanced efficiency Harness the power of TypeScript to boost productivity and the overall quality of your Angular project Implement proven design patterns to streamline the structure and communication between components Simplify complex applications by integrating micro frontend and standalone components Optimize the deployment process for top-notch application performance Leverage Angular signals and standalone components to create performant applications Who this book is for Whether you're a web developer or a tech leader engaged in frontend development, be it for small-scale projects or large, complex systems, you'll find this book useful to enhance both the quality and performance of your applications. Web architects seeking to design robust and adaptable frontend applications while leveraging Angular's extensive feature set will discover valuable insights within these pages.
    Note: Includes index
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  • 7
    ISBN: 9781835085936 , 1835085938 , 9781835086315
    Language: English
    Pages: 1 online resource (350 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.7/2
    Keywords: Web site development ; Web applications ; Sites Web ; Développement ; Applications Web
    Abstract: Unlock the full potential of Streamlit, mastering web app development from setup to deployment with practical guidance, advanced techniques, and real-world examples Key Features Identify and overcome web development challenges, crafting dedicated application skeletons using Streamlit Understand how Streamlit's widgets and components work to implement any kind of web app Manage web application development and deployment with ease using the Streamlit Cloud service Purchase of the print or Kindle book includes a free PDF eBook Book Description This book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you'll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages. Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You'll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques. By the end of this book, you'll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud. What you will learn Develop interactive web apps with Streamlit and deploy them seamlessly on the cloud Acquire in-depth theoretical and practical expertise in using Streamlit for app development Use themes and customization for visually appealing web apps tailored to specific needs Implement advanced features including secure login, signup processes, file uploaders, and database connections Build a catalog of scripts and routines to efficiently implement new web apps Attain autonomy in adopting new Streamlit features rapidly and effectively Who this book is for This book is for Python programmers, web developers, computer science students, and IT enthusiasts with a foundation in Python (or any programming language) who have a passion for creating visually appealing applications. If you already know how to write programs, this book will help you evolve into an adept web application developer skilled at converting command-line tools into impressive, cloud-hosted applications.
    Note: Includes index
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  • 8
    ISBN: 9781837635290 , 1837635293 , 9781837637836
    Language: English
    Pages: 1 online resource (418 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 004.6023
    Keywords: Computer network architectures ; Réseaux d'ordinateurs ; Architectures
    Abstract: Follow a step-by-step roadmap to developing essential competencies in network architecture design, relationship management, systems, and services, coupled with certification guidance and expert tips Key Features Grasp the big picture of information technology infrastructure to become a successful network architect Overcome challenges in network performance and configuration management Enhance your skills for career advancement using real-life examples and tips Purchase of the print or Kindle book includes a free PDF eBook Book Description Becoming a network architect is challenging--it demands hands-on engineering skills, encompassing hardware installation, configuration, and fabric layout design. Equally crucial, it involves collaboration with internal teams and C-Suite stakeholders, and adeptly managing external entities like vendors and service providers. The Network Architect's Handbook comprehensively covers these vital aspects, guiding you to evolve into an effective network architect within an organization, fostering seamless communication with leadership teams and other stakeholders. Starting with a clear definition of a network architect's role, this book lays out a roadmap and delves into the attributes and mindset for success. You'll then explore network architect design, physical infrastructure routing and switching, and network services such as DNS, MLAG, and service insertion. As you progress, you'll gain insights into the necessary skills and typical daily challenges faced by network architects. And to thoroughly prepare you to advance in your career, this handbook covers certifications and associated training for maintaining relevance in an organization, along with common interview questions for a network architect's position. Armed with essential concepts, techniques, and your newfound skills, you'll be well-prepared to pursue a career as a network architect. What you will learn Examine the role of a network architect Understand the key design makers in an organization Choose the best strategies to meet stakeholder needs Be well-versed with networking concepts Prepare for a network architect position interview Distinguish the different IT architects in an organization Identify relevant certification for network architects Understand the various de facto network/fabric architect models used today Who this book is for This book is for network engineers and technicians aspiring to transition into the role of a network architect. Whether you are at the beginning of your journey or seeking guidance along the path, this book will support you with its deep coverage of key aspects such as design concepts, architectural requirements, relevant experience, certifications, and advanced education with a special emphasis on cloud best practices. A practical understanding of IT networking is necessary to get the most out of this book.
    Note: Includes index
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328365582
    Language: English
    Pages: 1 online resource (256 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Z tego zwięzłego przewodnika po technikach uczenia maszynowego opartego na strukturalnych danych skorzystają programiści, badacze, osoby zajmujące się nauką o danych oraz twórcy systemów sztucznej inteligencji. Znalazł się tu wyczerpujący opis procesu uczenia maszynowego i klasyfikacji danych strukturalnych. Przedstawiono też metody klastrowania danych, analizy regresji, redukcji wymiarowości oraz inne ważne zagadnienia. Prezentowane treści zostały zilustrowane uwagami, tabelami i przykładami kodu. Nie zabrakło opisu przydatnych bibliotek, niezwykle użytecznych w pracy analityka danych. W efekcie książka pozwala na szybkie rozwiązywanie różnego rodzaju problemów związanych z przetwarzaniem danych strukturalnych.
    Note: Online resource; Title from title page (viewed June 17, 2024) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328363830
    Language: English
    Pages: 1 online resource (264 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Frameworki bardzo ułatwiają życie programistom. Pozwalają na szybkie tworzenie nawet rozbudowanych aplikacji, ale praca z frameworkiem najczęściej oznacza duże ograniczenia w doborze technologii. Wszystko jest w porządku, dopóki deweloper stosuje dokładnie te rozwiązania, które zaplanowali twórcy frameworka. Jeśli jednak zechce użyć innej bazy danych albo wykorzystać własną, autorską metodę uwierzytelniania użytkowników, może napotkać różne nieprzewidziane problemy. Szczęśliwie nie wszystkie mikrośrodowiska zachowują się w ten sposób. Framework napisany w Pythonie Flask, w odróżnieniu od typowych frameworków, umożliwia swobodne dobieranie technologii i komponentów aplikacji, a nawet tworzenie własnych rozwiązań. Oznacza to, że Flask pozwoli Ci zachować pełną kontrolę nad budowanym oprogramowaniem!
    Note: Online resource; Title from title page (viewed March 11, 2024) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328367395
    Language: English
    Pages: 1 online resource (760 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Ta książka została napisana z myślą o doświadczonych programistach. Podstawowe zagadnienia, takie jak klasy, polimorfizm i kolekcje, znalazły się w kilku pierwszych rozdziałach, jednak zrozumienie treści całej publikacji wymaga umiejętności technicznych. Została poświęcona ważnym koncepcjom C# i tajnikom tego języka, które rzadko kiedy są opisywane w literaturze. Dokładnie omówiono tu typy ogólne, LINQ oraz techniki programowania asynchronicznego. Przedstawiono najnowsze możliwości platformy .NET Core i języka C# 8.0, takie jak strumienie asynchroniczne, referencje akceptujące wartości puste, dopasowywanie wzorców, domyślne implementacje interfejsów, zakresy, a także nową składnię indeksowania oraz zmiany w narzędziach platformy .NET. Liczne rozbudowane przykłady stanowią świetne uzupełnienie prezentowanych treści.
    Note: Online resource; Title from title page (viewed November 3, 2024) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328371149
    Language: English
    Pages: 1 online resource (320 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Ta książka jest przeznaczona dla średnio zaawansowanych i początkujących programistów, którzy chcą poznać narzędzia ułatwiające tworzenie różnych aplikacji w JavaScripcie. Przedstawiono tu kompletne instrumentarium, dzięki któremu można tworzyć kod aplikacji w stylu CRUD działającej na każdej platformie. Opisano, w jaki sposób należy przygotować sobie środowisko programistyczne do pracy, omówiono sposób tworzenia API za pomocą Node i Express, bazy danych MongoDB oraz serwera Apollo. Sporo miejsca poświęcono tworzeniu interfejsów użytkownika niezależnych od platformy za pomocą różnych narzędzi. Poszczególne zagadnienia zilustrowano praktycznymi przykładami działającego kodu. Dzięki tej publikacji nawet początkujący programista zacznie szybko podejmować świadome decyzje technologiczne.
    Note: Online resource; Title from title page (viewed November 4, 2024) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328368309
    Language: English
    Pages: 1 online resource (464 pages)
    Edition: 5th edition
    Keywords: Electronic books ; local
    Abstract: Dzięki tej książce dowiesz się, jak sobie z tym poradzić. Znalazło się w niej krótkie wprowadzenie do Pythona oraz do automatyzacji przetwarzania tekstu i obsługi systemu plików, a także do pisania własnych narzędzi wiersza poleceń. Zaprezentowano również przydatne narzędzia linuksowe, systemy zarządzania pakietami oraz systemy budowania, monitorowania i automatycznego testowania kodu. Zagadnienia te szczególnie zainteresują specjalistów DevOps. Ponadto zawarto tu podstawowe informacje o chmurze obliczeniowej, usługach IaC i systemach Kubernetes. Omówiono zasady uczenia maszynowego i inżynierii danych z perspektywy DevOps. Przedstawiono także kompletny przewodnik po procesach budowania, wdrażania oraz operacyjnego wykorzystywania modelu uczenia maszynowego z użyciem systemów Flask, sklearn, Docker i Kubernetes.
    Note: Online resource; Title from title page (viewed November 25, 2024) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328364035
    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Kubernetes jest platformą do orkiestracji kontenerów. Projekt ten należy dziś do najpopularniejszych i najbogatszych narzędzi w swojej klasie, stanowi także podstawę dla wielu innych platform, znanych jako systemy typu PaaS. Dzięki nim Kubernetes zyskał możliwość tworzenia aplikacji, jednak tego rodzaju narzędzia wymagają od programistów i architektów zastosowania odpowiednich wzorców projektowych. Opisują one schematy rozwiązywania problemów na różnych poziomach dokładności, a tym samym umożliwiają efektywne projektowanie i implementację nowoczesnych, elastycznych natywnych aplikacji chmurowych w Kubernetesie.
    Note: Online resource; Title from title page (viewed May 12, 2024) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328361508
    Language: English
    Pages: 1 online resource (1496 pages)
    Edition: 5th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: To kompleksowy podręcznik do nauki programowania w Pythonie. Jego piąte wydanie zostało gruntownie zaktualizowane i rozbudowane o dodatkowe treści. Omówiono tu najnowsze wersje Pythona w liniach 3.X i 2.X, czyli 3.3 i 2.7, i dodano opisy nowych lub rozszerzonych mechanizmów, takich jak obsługa formatu JSON, moduł timeit, pakiet PyPy, metoda os.popen, generatory, rekurencje, słabe referencje, atrybuty i metody __mro__, __iter__, super, __slots__, metaklasy, deskryptory, funkcja random, pakiet Sphinx i wiele innych. W książce znalazło się mnóstwo ćwiczeń, quizów, pomocnych ilustracji oraz przykładów kodu. Jest to kompendium dla każdego, kto chce szybko zacząć programować w Pythonie i tworzyć wydajny kod o wysokiej jakości.
    Note: Online resource; Title from title page (viewed August 5, 2024) , Mode of access: World Wide Web.
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  • 16
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328364813
    Language: English
    Pages: 1 online resource (336 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Przedsiębiorstwa z branży technologicznej ciągle mierzą się z silną konkurencją. Nietrudno zrozumieć, co stanowi o przewadze firmy niezależnie od branży czy wielkości. Wygrywanie wymaga utrzymywania przewagi konkurencyjnej, jaką jest zdolność określania, wdrażania i osiągania poziomów wydajności nieosiągalnych dla konkurencji. Najczęściej przewaga konkurencyjna ma dwa źródła. Pierwszym jest dostarczanie funkcjonalnych rozwiązań, które dają radość użytkownikom. Drugim — wykorzystywanie właściwych danych do wdrażania odpowiedniej strategii, która wciąż podlega optymalizacji. Zastosowanie w tych działaniach rozwiązań z dziedziny sztucznej inteligencji znacznie przyczynia się do sukcesu firmy.
    Note: Online resource; Title from title page (viewed July 22, 2024) , Mode of access: World Wide Web.
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  • 17
    ISBN: 9781837636303
    Language: English
    Pages: 1 online resource (326 pages) , illustrations
    Edition: Third edition.
    DDC: 005.75/65
    Keywords: Data mining ; Quantitative research
    Abstract: Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your data Key Features Learn practical data science combined with data theory to gain maximum insights from data Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models Explore actionable case studies to put your new skills to use immediately Purchase of the print or Kindle book includes a free PDF eBook Book Description Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights. Starting with cleaning and preparation, you'll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data. With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you'll explore medium-level data governance, including data provenance, privacy, and deletion request handling. By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT. What you will learn Master the fundamentals steps of data science through practical examples Bridge the gap between math and programming using advanced statistics and ML Harness probability, calculus, and models for effective data control Explore transformative modern ML with large language models Evaluate ML success with impactful metrics and MLOps Create compelling visuals that convey actionable insights Quantify and mitigate biases in data and ML models Who this book is for If you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you'll find this book useful. Familiarity with Python programming will further enhance your learning experience.
    Note: Includes index
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  • 18
    ISBN: 9781805123224
    Language: English
    Pages: 1 online resource (294 pages) , illustrations
    Edition: [First edition].
    DDC: 005.1
    Keywords: Kubernetes ; Application software Development ; Computer programs
    Abstract: Gain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainability Key Features Master Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recovery Build your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and compliance Learn how to manage Secrets through real-world cases, strengthening your applications' security posture Purchase of the print or Kindle book includes a free PDF eBook Book Description Securing Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes. Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you'll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions. Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution. By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls. What you will learn Explore Kubernetes Secrets, related API objects, and CRUD operations Understand the Kubernetes Secrets limitations, attack vectors, and mitigation strategies Explore encryption at rest and external secret stores Build and operate a production-grade solution with a focus on business continuity Integrate a Secrets Management solution in your CI/CD pipelines Conduct continuous assessments of the risks and vulnerabilities for each solution Draw insights from use cases implemented by large organizations Gain an overview of the latest and upcoming Secrets management trends Who this book is for This handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path--from foundations to implementation--with a security-first mindset. You'll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.
    Note: Includes bibliographical references and index
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  • 19
    ISBN: 9781803245478 , 1803245476
    Language: English
    Pages: 1 online resource (318 pages) , illustrations
    DDC: 006.6/9
    Keywords: Blender (Computer file) ; Three-dimensional display systems ; Affichage tridimensionnel ; three-dimensional
    Abstract: Master the art of modeling, shading, and rendering low poly 3D creations to transform into the 3D artist you've aspired to become Key Features Create minimalistic low poly 3D models based on reference images Breathe life into your creations by adding vibrant colors and appealing textures using materials Arrange your low poly models in a 3D environment, set up lighting to achieve the desired ambiance, and render the final scene Purchase of the print or Kindle book includes a free PDF eBook Book Description Step into the world of low poly 3D art with Low Poly 3D Modeling in Blender--your entry point into Blender and mastering the fundamentals of 3D art. This beginner-friendly guide ensures that you're fully prepared for the creative adventure that follows. Through a step-by-step learning process starting with the principles of low poly art, this book gradually immerses you in the intricacies of modeling. As you progress, you'll gain hands-on experience creating diverse projects ranging from designing a simple 3D crate to rendering complete low poly scenes. The book covers a wide spectrum of topics as you navigate Blender's interface, mastering essential modeling tools and exploring both basic and advanced modeling techniques. Advancing to the final chapters, you'll find ways to breathe life into your models with material creation and gain practical insights into modeling a variety of low poly objects. From end-to-end scene construction to configuring Blender for rendering high-quality images, you'll be equipped with the foundational skills to propel your career in 3D modeling and explore the boundless creative possibilities that Blender offers. By the end of this book, you'll have a solid understanding of Blender, 3D modeling, low poly methodologies, material design, 3D rendering techniques, and the broader world of 3D art. What you will learn Understand how Blender's interface works and how to configure it Gain proficiency in navigating 3D space in Blender Familiarize yourself with Blender's core modeling tools Get to grips with the workflow and techniques to create low poly 3D models Texture your low poly models using the UV and Shader editors Configure Blender's Asset Browser for instant access to your models Set up a complete scene, adjust the lighting, and create a high-quality, portfolio-ready render Who this book is for If you're new to 3D modeling, low poly modeling is a great starting point. This book is an invaluable guide for 3D artists, modelers, and beginners to begin without prior knowledge of Blender or 3D modelling experience, although a basic familiarity with these topics will be beneficial.
    Note: Includes index. - Online resource; title from title details screen (O'Reilly, viewed February 14, 2024)
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  • 20
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781835087695
    Language: English
    Pages: 1 online resource (374 pages) , illustrations
    Edition: Second edition.
    DDC: 518.0285/536
    Keywords: MATLAB ; Machine learning ; Computer programming
    Abstract: Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications Key Features Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms Evaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoring Uncover effective approaches to deep learning for computer vision, time series analysis, and forecasting Purchase of the print or Kindle book includes a free PDF eBook Book Description Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications. By navigating the versatile machine learning tools in the MATLAB environment, you'll learn how to seamlessly interact with the workspace. You'll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you'll explore various classification and regression techniques, skillfully applying them with MATLAB functions. This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You'll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you'll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you'll be able to put it all together by applying major machine learning algorithms in real-world scenarios. What you will learn Discover different ways to transform data into valuable insights Explore the different types of regression techniques Grasp the basics of classification through Naive Bayes and decision trees Use clustering to group data based on similarity measures Perform data fitting, pattern recognition, and cluster analysis Implement feature selection and extraction for dimensionality reduction Harness MATLAB tools for deep learning exploration Who this book is for This book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.
    Note: Includes index
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  • 21
    ISBN: 9781805124061
    Language: English
    Pages: 1 online resource (214 pages) , illustrations
    Edition: [First edition].
    DDC: 005.75/8
    Keywords: Edge computing
    Abstract: Master edge computing architectures, unlock industry-specific patterns, apply proven best practices, and progress from basics to end-to-end solutions Key Features Unlock scalable edge solutions by mastering proven archetypes for real-world success Learn industry-specific patterns, tailoring solutions for diverse sector needs Make strategic decisions between cloud-out and edge-in strategies with confidence Purchase of the print or Kindle book includes a free PDF eBook Book Description Enriched with insights from a hyperscaler's perspective, Edge Computing Patterns for Solution Architects will prepare you for seamless collaboration with communication service providers (CSPs) and device manufacturers and help you in making the pivotal choice between cloud-out and edge-in approaches. This book presents industry-specific use cases that shape tailored edge solutions, addressing non-functional requirements to unlock the potential of standard edge components. As you progress, you'll navigate the archetypes of edge solution architecture from the basics to network edge and end-to-end configurations. You'll also discover the weight of data and the power of automation for scale and immerse yourself in the edge mantra of low latency and high bandwidth, absorbing invaluable do's and don'ts from real-world experiences. Recommended practices, honed through practical insights, have also been added to guide you in mastering the dynamic realm of edge computing. By the end of this book, you'll have built a comprehensive understanding of edge concepts and terminology and be ready to traverse the evolving edge computing landscape. What you will learn Distinguish edge concepts, recognizing that definitions vary among different audiences Explore industry-specific architecture patterns that shape custom solutions Analyze three proven edge computing archetypes for real-world scalability Apply best practices judiciously, adapting patterns to meet specific requirements Evaluate data for storage or discarding based on compliance and industry norms Advance from the foundational basics to complex end-to-end edge configurations Gain practical insights for achieving low-latency, high-bandwidth edge solutions Who this book is for Ideal for VPs of IT infrastructure, enterprise architects, solution architects, and SRE professionals with a background in cloud computing, this book is for individuals involved in crafting edge reference architectures and tailored solutions across diverse industries. It provides valuable insights and practical patterns drawn from real-world implementations in sectors such as retail, telecommunications, and manufacturing. Foundational knowledge of cloud computing is assumed to align with the advanced nature of the content covered.
    Note: Includes bibliographical references and index
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  • 22
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781805127123
    Language: English
    Pages: 1 online resource (592 pages)
    Edition: Third edition.
    DDC: 005.3
    Keywords: AngularJS (Software framework) ; Application software Development ; Web applications ; JavaScript (Computer program language)
    Abstract: Harness the full power of Angular 17 with up-to-date tools and enterprise-level best practices Purchase of the print or Kindle book includes a free PDF eBook Key Features Dive straight into the most relevant topics that will help you build large, complex, and high-performance web applications Find updated examples, projects, and an overview of the latest tools and updates - including Jest, Cypress, NgRx workspace, Apollo GraphQL, and Angular Dev Tools Get to grips with reactive code and learn how to resolve potential issues before they crop up Book Description If you're looking to upskill and build sophisticated, minimalist web applications suited for enterprise use, Angular for Enterprise Applications is your guide to the next level of engineering mastery. In its third edition, this Angular book distils hard-earned lessons into a lucid roadmap for success. Adopting a pragmatic approach founded on a robust technical base, you'll utilize both JavaScript and TypeScript fundamentals. You'll also embrace agile engineering coding principles and learn to architect optimally sized enterprise solutions employing the freshest concepts in Angular. You'll gradually build upon this foundation through insightful recipes, sample apps, and crystal-clear explanations. You'll master authentication and authorization and achieve optimal performance through reactive programming and lazy loading, build complex yet flexible UIs with Router-first principles, and then integrate with backend systems using REST and GraphQL APIs. You'll cover modern tools like RxAngular, Qwik, and Signals. You'll construct master/detail views using data tables and NgRx for state management. You'll explore DevOps using Docker and build CI/CD pipelines necessary for high-performance teams. By the end of this book, you'll be proficient in leveraging Angular in enterprise and design robust systems that scale effortlessly. What you will learn Best practices for architecting and leading enterprise projects Minimalist, value-first approach to delivering web apps How standalone components, services, providers, modules, lazy loading, and directives work in Angular Manage your app's data reactivity using Signals or RxJS State management for your Angular apps with NgRx Angular ecosystem to build and deliver enterprise applications Automated testing and CI/CD to deliver high quality apps Authentication and authorization Building role-based access control with REST and GraphQL Who this book is for This book is for mid-to-senior developers looking to gain mastery by learning how to write, test, and deploy Angular in an enterprise environment. Working experience with JavaScript is a prerequisite, and a familiarity with TypeScript and RESTful APIs will help you understand the topics covered in this book more effectively.
    Note: Includes bibliographical references and index
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  • 23
    ISBN: 9781835087732
    Language: English
    Pages: 1 online resource (396 pages) , illustrations
    Edition: Third edition.
    DDC: 005.1
    Keywords: Jenkins (Software development tool) ; Computer software Reliability ; Computer software Reusability ; Computers, Pipeline ; Logiciels ; Fiabilité ; Logiciels ; Réutilisation ; Ordinateurs pipelines
    Abstract: Integrate Jenkins, Kubernetes, and more on cloud into a robust, GitOps-driven CI/CD system, leveraging JCasC, IaC, and AI for a streamlined software delivery process Key Features Follow the construction of a Jenkins CI/CD pipeline start to finish through a real-world example Construct a continuous deployment (CD) pipeline in Jenkins using GitOps principles and integration with Argo CD Craft and optimize your CI pipeline code with ChatGPT and GitHub Copilot Purchase of the print or Kindle book includes a free PDF eBook Book Description This updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup. Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You'll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you'll gain a profound understanding of the CI process and Jenkins' robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally. By the end of the book, you'll have become an expert in implementing and optimizing CI/CD setups across diverse teams. What you will learn Understand CI with the Golden Circle theory Deploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC) Implement optimal security practices to ensure Jenkins operates securely Extend Jenkins for CI by integrating with SonarQube, GitHub, and Artifactory Scale Jenkins using containers and the cloud for optimal performance Master Jenkins declarative syntax to enrich your pipeline coding vocabulary Enhance security and improve pipeline code within your CI/CD process using best practices Who this book is for This book is for a diverse audience, from university students studying Agile software development to seasoned developers, testers, release engineers, and project managers. If you're already using Jenkins for CI, this book will assist you in elevating your projects to CD. Whether you're new to the concepts of Agile, CI, and CD, or a DevOps engineer seeking advanced insights into JCasC, IaC, and Azure, this book will equip you with the tools to harness Jenkins for improved productivity and streamlined deliveries in the cloud.
    Note: Includes bibliographical references and index
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  • 24
    ISBN: 9781804617281
    Language: English
    Pages: 1 online resource (332 pages) , illustrations
    Edition: [First edition].
    DDC: 006.7/86
    Keywords: Adobe After effects ; Image processing Digital techniques ; Cinematography Special effects ; Data processing
    Abstract: Discover the top tricks and techniques to make the most of Adobe After Effects and elevate your graphics design skills by creating real-world projects with this comprehensive illustrated guide Key Features Master After Effects through hands-on engagement with small projects, following the best practices Leverage the settings and uncover hidden options in After Effects to optimize your workflow Acquire skills and techniques that will set you apart from other graphic designers Purchase of the print or Kindle book includes a free PDF eBook Book Description Visual effects and motion graphics are everywhere, shaping the film, TV, games, websites, and application landscape. Navigating a field this complex and ever-expanding demands more than mere familiarity with tools; you need to stand out to get ahead. Creative Motion Mastery with Adobe After Effects is the definitive guide that not only equips you with the essential skills to distinguish yourself, but also takes you through real projects that you can add to your portfolio. Guided by a hands-on learning approach, you'll master the UI, workflow, and diverse projects such as text animation, shape layers, and rotoscoping. With this newfound knowledge, you'll take your graphic design and post-production skills to the next level using chroma keying, particle simulations, and 2D and 3D tracking. You'll progress faster than someone taking a formal course in Adobe After Effects! And it's not all about creating; you'll import graphics from Illustrator and Photoshop and apply post-production effects to give them a new life. Finally, you'll discover how seamlessly you can export and manage your projects, ensuring end-to-end coverage of all you need. By the end of the book, you'll have a thorough understanding of Adobe After Effects, equipped with the skills and practice you need to propel your career in graphic design. What you will learn Create and customize text layers, including text animations, using shape layers Enhance projects with audio elements and apply audio effects to shape layers Develop editable motion graphics templates for Premiere Pro Implement color correction and grading techniques to enhance footage in projects Use rotoscoping to remove and mask objects seamlessly Generate realistic effects such as rain, fire, and smoke using particle simulations Master the art of compositing through Chroma Keying Get to grips with 2D and 3D tracking for seamless element integration Who this book is for This book is for graphic designers, UX and UI designers, e-learning designers, motion graphics artists, video editors, and VFX artists. A fundamental grasp and minimal experience with After Effects will help you follow long the concepts covered in this book. Additionally, familiarity with Illustrator and Photoshop will provide an added advantage.
    Note: Includes index
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  • 25
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781835469385
    Language: English
    Pages: 1 online resource (544 pages) , illustrations
    Edition: Sixth edition.
    DDC: 006.6/86
    Keywords: Adobe Photoshop elements ; Photography Digital techniques ; Image processing Digital techniques
    Abstract: "Take complete control of all your image-editing ambitions using this beautifully illustrated, easy-to-understand, jargon-free guide on Photoshop Elements 2024 packed with best practices and expert insights. Key Features Comprehensive coverage of Adobe Photoshop Elements 2024, including new AI-powered tools and advanced features Practical guidance on photo organization, editing, and sharing, with an emphasis on creative and professional techniques Rich, illustrative content with updated examples, tutorials, and mini creative projects Book Description Dive into the world of digital photo editing with this latest edition, crafted by Robin Nichols, a seasoned photographer and digital imaging expert, which brings the latest Photoshop Elements 2024 to your fingertips. With a unique blend of in-depth tutorials and practical applications, this book is an essential resource for photographers at all levels. It introduces new features like Dark Mode, Match Color, and Photo Reels, along with advanced techniques like layering and artistic effects. The book also addresses common user feedback from previous editions, ensuring a refined and user-friendly experience. Elements 2024 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family. Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques--create the perfect picture or imaginative fantasy illustration. You'll also learn the online realms of animation, video creation, and third-party plug-ins. By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2024 with complete confidence. What you will learn Master new features in Photoshop Elements 2024, including AI-powered tools and one-click fixes on mobile Create captivating photo collages, digital paintings, and graphic designs Efficiently organize your photo collections for easy access and management Enhance your social media presence with professionally edited photos and artworks Employ advanced layer techniques for more powerful and immersive illustrations Gain comprehensive knowledge to become a proficient Photoshop Elements user Who this book is for ""Mastering Adobe Photoshop Elements - 6th Edition"" is perfect for photographers of all skill levels - from hobbyists to professionals. Whether you are new to photo editing or looking to upgrade your skills with the latest Photoshop Elements features, this book offers valuable insights and guidance.".
    Note: Includes index
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  • 26
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328362055
    Language: English
    Pages: 1 online resource (528 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Ta książka jest podręcznikiem dla praktyków. Zawiera zbiór narzędzi, katalog metod, przewodnik ułatwiający pracę, mnóstwo przykładów i studiów przypadku. Znalazły się tutaj również jasne wskazówki dotyczące przeprowadzania procesu projektowania usług. Opisano, jak łatwo doprowadzić środowiska biznesowe i specjalistów od projektowania do współpracy. Po ogólniejszym omówieniu procesu ustanawiania i realizowania inicjatyw w zakresie projektowania usług zaprezentowano także szczegóły facylitacji przedsięwzięcia i kształtowania jego otoczenia. Wiele spośród uwzględnionych w tekście metod i narzędzi zostało już dobrze opisanych. Tutaj natomiast, poza ich prezentacją, dodano szereg wskazówek i porad najlepszych ekspertów w dziedzinie projektowania usług. W ten sposób umożliwiono powiązanie doświadczenia z działalnością operacyjną i sukcesem biznesowym oraz budowaniem kultury klientocentryzmu.
    Note: Online resource; Title from title page (viewed November 25, 2024) , Mode of access: World Wide Web.
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  • 27
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328360020
    Language: English
    Pages: 1 online resource (768 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: To drugie wydanie bestsellerowego przewodnika po technikach uczenia maszynowego. Wystarczą minimalne umiejętności programistyczne, aby dzięki tej książce nauczyć się budowania i trenowania głębokiej sieci neuronowej. Zawarto tu minimum teorii, a proces nauki jest ułatwiony przez liczne przykłady i ćwiczenia. Wykorzystano gotowe rozwiązania i przedstawiono zasady pracy ze specjalistycznymi narzędziami, w tym z TensorFlow 2, najnowszą odsłoną modułu. W efekcie niepostrzeżenie przyswoisz niezbędny zasób pojęć i narzędzi służących do tworzenia systemów inteligentnych. Poznasz różnorodne techniki i zaczniesz samodzielnie ich używać. Po lekturze będziesz biegle posługiwać się najnowszymi technologiami sztucznej inteligencji!
    Note: Online resource; Title from title page (viewed August 5, 2024) , Mode of access: World Wide Web.
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  • 28
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328367210
    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Ta książka jest szerokim, aktualnym i praktycznym przeglądem metod analizy szeregów czasowych, w którym ujęto pełny potok przetwarzania danych czasowych i modelowania. Zaprezentowano w niej rzeczywiste przypadki użycia tych metod i zilustrowano je obszernymi fragmentami znakomicie zaprojektowanego kodu w językach R i Python. Znalazły się tutaj praktyczne wskazówki ułatwiające rozwiązywanie najczęstszych problemów występujących w inżynierii danych czasowych i ich analizie. Ujęto tu zarówno konwencjonalne metody statystyczne, jak i nowoczesne techniki uczenia maszynowego. To bardzo przydatny przewodnik, dzięki któremu analitycy danych, inżynierowie oprogramowania i naukowcy będą mogli płynnie przejść od podstaw pracy z szeregami czasowymi do rozwiązywania konkretnych zagadnień na profesjonalnym poziomie.
    Note: Online resource; Title from title page (viewed September 23, 2024) , Mode of access: World Wide Web.
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  • 29
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    ISBN: 9788328364059
    Language: English
    Pages: 1 online resource (256 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To książka przeznaczona dla programistów, którzy chcą maksymalnie wykorzystać możliwości Kubernetesa, również poprzez pisanie własnych zasobów. W praktyczny sposób pokazuje, jak rozwijać natywne, działające w chmurze aplikacje dla Kubernetesa. Wyjaśnia, w jaki sposób działa biblioteka API client-go i jak należy budować zasoby niestandardowe. Znalazło się tu obszerne i szczegółowe omówienie interfejsu programowania i działania platformy Kubernetes, a także pisania stabilnego oprogramowania w języku Go. Nie zabrakło szeregu wskazówek dotyczących samego pisania kodu oraz przeprowadzania testów. Dużo uwagi poświęcono niestandardowym zasobom, kontrolerom, webhookom i niestandardowym serwerom API oraz wzorcom rozszerzania Kubernetesa.
    Note: Online resource; Title from title page (viewed May 27, 2024) , Mode of access: World Wide Web.
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  • 30
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098107499 , 1098107497
    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.75/65
    Keywords: Database management Software ; Data mining Software ; Electronic books ; local ; Electronic books
    Abstract: Analytics projects are frequently long-drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. This practical book shows you how to master all areas of Alteryx Designer quickly. Author and Alteryx ACE Joshua Burkhow starts with the basics of building a workflow, then introduces more than 200 tools for working with intermediate and advanced analytics functionality. With Alteryx Designer's all-in-one toolkit, you'll migrate from legacy analytics software or Excel with ease. Ready to work with data quickly and efficiently? This guide gets you started. Learn the fundamentals of cleaning, prepping, and analyzing data with Alteryx Designer Install, navigate, and quickly become competent with the Alteryx Designer layout and functionality Construct accurate, performant, reliable, and well-documented workflows that automate business processes Learn intermediate techniques using spatial analytics, reporting, and in-database tools Dive into advanced Alteryx capabilities, including predictive and machine learning tools Get introduced to the entire Alteryx Analytic Process Automation (APA) Platform
    Note: Online resource; Title from title page (viewed March 25, 2023) , Mode of access: World Wide Web.
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  • 31
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (166 pages)
    Edition: 2nd edition
    Keywords: Electronic books
    Abstract: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines
    Note: Online resource; Title from title page (viewed January 25, 2023) , Mode of access: World Wide Web.
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  • 32
    ISBN: 9781804613788 , 1804613789 , 9781804610541
    Language: English
    Pages: 1 online resource (398 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Computer programming ; Python (Langage de programmation) ; Apprentissage automatique ; Programmation (Informatique) ; computer programming
    Abstract: Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labeling Key Features Generate labels for regression in scenarios with limited training data Apply generative AI and large language models (LLMs) to explore and label text data Leverage Python libraries for image, video, and audio data analysis and data labeling Purchase of the print or Kindle book includes a free PDF eBook Book Description Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today's data-driven world, mastering data labeling is not just an advantage, it's a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution. With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively. By the end of this book, you'll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data. What you will learn Excel in exploratory data analysis (EDA) for tabular, text, audio, video, and image data Understand how to use Python libraries to apply rules to label raw data Discover data augmentation techniques for adding classification labels Leverage K-means clustering to classify unsupervised data Explore how hybrid supervised learning is applied to add labels for classification Master text data classification with generative AI Detect objects and classify images with OpenCV and YOLO Uncover a range of techniques and resources for data annotation Who this book is for This book is for machine learning engineers, data scientists, and data engineers who want to learn data labeling methods and algorithms for model training. Data enthusiasts and Python developers will be able to use this book to learn data exploration and annotation using Python libraries. Basic Python knowledge is beneficial but not necessary to get started.
    Note: Includes index
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  • 33
    ISBN: 9781803235851
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 006.6/9
    Keywords: Blender (Computer file) ; Three-dimensional display systems ; Computer graphics ; Electronic books
    Abstract: Blender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don't be discouraged! 3D Environment Design with Blender will get you up and running. This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you'll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you'll create from scratch. Once you've developed your natural environment, you'll advance to creating realistic render shots by applying cool camera features, and compositing tricks that will make your final render look photorealistic and pleasing to the eye. By the end of this book, you'll be able to implement modeling tricks and best practices to make your 3D environments look stunningly lifelike.
    Note: Includes index. - Description based on print version record
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  • 34
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (90 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Kubernetes has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud. Delve into case studies to avoid the pitfalls others have faced and explore new use cases. Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more
    Note: Online resource; Title from title page (viewed January 25, 2023) , Mode of access: World Wide Web.
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  • 35
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (54 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions
    Note: Online resource; Title from title page (viewed February 25, 2023) , Mode of access: World Wide Web.
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  • 36
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Get started with Ray, the open source distributed computing framework that greatly simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale. Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build reinforcement learning applications that serve trained models with Ray. You'll understand how Ray fits into the current landscape of data science tools and discover how this programming language continues to integrate ever more tightly with these tools. Distributed computation is hard, but with Ray you'll find it easy to get started. Learn how to build your first distributed application with Ray Core Conduct hyperparameter optimization with Ray Tune Use the Ray RLib library for reinforcement learning Manage distributed training with the RaySGD library Use Ray to perform data processing Learn how work with Ray Clusters and serve models with Ray Serve Build an end-to-end machine learning application with Ray
    Note: Online resource; Title from title page (viewed April 25, 2023) , Mode of access: World Wide Web.
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  • 37
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098122072 , 1098122070
    Language: English
    Pages: 1 online resource (25 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Go (Computer program language) ; Open source software Programming ; Computer programming ; Electronic books ; Go (Langage de programmation) ; Logiciels libres - Programmation ; Programmation (Informatique) ; computer programming
    Abstract: Go is an increasingly popular language for programming everything from web applications to distributed network services. This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Programmers new to Go can quickly ramp up their knowledge while accomplishing useful tasks, and experienced Go developers can save time by cutting and pasting proven code directly into their applications. Recipes include: Creating a module; Calling code from another module; Returning and handling an error; Converting strings to numbers (or converting numbers to strings); Modifying multiple characters in a string; Creating substrings from a string; Capturing string input; And so much more.--Back cover
    Note: Online resource; Title from title page (viewed July 25, 2023) , Mode of access: World Wide Web.
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  • 38
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Tecniche Nuove | Boston, MA : Safari
    ISBN: 9788848141130
    Language: English
    Pages: 1 online resource (264 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Negli ultimi dieci anni, con il ritorno delle reti neurali, la comprensione del Deep Learning è diventata essenziale e questo manuale fornisce un’introduzione approfondita per i data scientist e gli ingegneri del software con precedenti esperienze nel machine learning. Inizierete con le basi del Deep Learning e passerete rapidamente ai dettagli di importanti architetture avanzate, implementando tutto da zero. L’autore Seth Weidman vi mostra come funzionano le reti neurali usando un approccio basato su principi primi. Imparerete come applicare da zero le reti neurali multistrato, le reti neurali convoluzionali e quelle ricorrenti. Acquisendo una comprensione dettagliata di come queste reti funzionino matematicamente, computazionalmente e concettualmente, porterete a termine con successo i vostri futuri progetti di Deep Learning.
    Note: Online resource; Title from title page (viewed September 21, 2023) , Mode of access: World Wide Web.
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  • 39
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: With the accelerating speed of business and the increasing dependence on technology, companies today are significantly changing the way they build in-house business solutions. Many now use low-code and no code technologies to help them deal with specific issues, but that's just the beginning. With this practical guide, power users and developers will discover ways to resolve everyday challenges by building end-to-end solutions with the Microsoft Power Platform. Author Jason Rivera, who specializes in SharePoint and the Microsoft 365 solution architecture, provides a comprehensive overview of how to use the Power Platform to build end-to-end solutions that address tactical business needs. By learning key components of the platform, including Power Apps, Power Automate, and Power BI, you'll be able to build low-code and no code applications, automate repeatable business processes, and create interactive reports from available data. Learn how the Power Platform apps work together Incorporate AI into the Power Platform without extensive ML or AI knowledge Create end-to-end solutions to solve tactical business needs, including data collection, process automation, and reporting Build AI-based solutions using Power Virtual Agents and AI Builder
    Note: Online resource; Title from title page (viewed March 25, 2023) , Mode of access: World Wide Web.
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  • 40
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (38 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, authors Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while avoiding single points of failure and manual scheduling. If your data processing has grown beyond what a single computer can handle, this book is for you. Written by experienced software architecture practitioners, Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. This book covers distributed processing (the pure Python implementation of serverless) and shows you how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified platform for batch and streaming Implement advanced data processing with Ray Apply microservices with Ray platform Implement reliable Ray applications
    Note: Online resource; Title from title page (viewed June 25, 2023) , Mode of access: World Wide Web.
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  • 41
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Advances in machine learning techniques, the cloud, and the ability to leverage hardware acceleration have changed the way we work with data — adding entirely new capabilities and business models to the mix. But the demand for processing training data has outpaced the increase in computation power. This practical and comprehensive guide will show you how to distribute your machine learning workload across multiple machines and turn centralized systems into distributed ones. Machine Learning with Spark examines various technologies for building end-to-end distributed machine learning platforms based on the Apache Spark ecosystem with Spark MLlib, TensorFlow, Horovod, PyTorch, and more. This book shows you when to use each technology and why. You'll also learn how to: Build efficient parallelization of the training process Create a coherent model Leverage a set of open source tools to build scalable end-to-end ML platform Enable more advanced, tailor-made products Use distributed ML techniques to increase the quality of predictions and ML modules Design practical distributed machine learning systems
    Note: Online resource; Title from title page (viewed February 25, 2023) , Mode of access: World Wide Web.
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  • 42
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    DDC: 004
    Keywords: Information technology ; Information retrieval ; Databases ; Data mining ; Electronic books
    Abstract: As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with data Pursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualization Learn how to use modeling to describe the data Generalize findings beyond the data
    Note: Online resource; Title from title page (viewed May 25, 2023) , Mode of access: World Wide Web.
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  • 43
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098118549 , 1098118545
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 004.67/82
    Keywords: Cloud computing Security measures ; Electronic books
    Abstract: As more and more organizations migrate their applications to the cloud, cloud native computing has become the dominant way to approach software development and execution. In the meantime, security threats are growing more sophisticated and widespread every day. Protecting your applications from these threats requires the ability to defend them at runtime, when they're most vulnerable to attacks. This practical guide introduces you to Falco, the open source standard for continuous risk and threat detection across Kubernetes, containers, and the cloud. Falco creator Loris Degioanni and core maintainer Leonardo Grasso bring you up to speed on cloud native threat detection basics and show you how to get Falco up and running. You'll then dive into advanced topics such as deploying Falco in production and writing your own security rules. You'll learn how to: Leverage runtime security in cloud native environments Detect configuration changes and unexpected behavior in the cloud Protect containers, Kubernetes, and cloud applications using Falco Run, deploy, and customize Falco using advanced concepts Deploy, configure, and maintain Falco in a production environment Improve your organization's ability to pass compliance audits Implement threat detection for containers, Kubernetes, and cloud apps
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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  • 44
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Cisco Press | Boston, MA : Safari
    ISBN: 9780137489930
    Language: English
    Pages: 1 online resource (752 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: This book is a complete guide to prepare for the CEH Certified Ethical Hacker certification exam. Leading experts Michael Gregg and Omar Santos help you master all the topics you need to know to succeed on your Certified Ethical Hacker Version 11 exam and advance your career in IT security. The authors concise, focused approach explains every exam objective from a real-world perspective, helping you quickly identify weaknesses and retain everything you need to know. Every feature of this book supports both efficient exam preparation and long-term mastery: Opening Topics Lists identify the topics you need to learn in each chapter and list EC-Councils official exam objectives Key Topics figures, tables, and lists call attention to the information that is most crucial for exam success Exam Preparation Tasks enable you to review key topics, define key terms, work through scenarios, and answer review questionsgoing beyond mere facts to master the concepts that are crucial to passing the exam and enhancing your career Key Terms are listed in each chapter and defined in a complete glossary, explaining essential terminology within the field This study guide helps you master all the topics on the latest CEH exam, including: Ethical hacking basics Technical foundations of hacking Footprinting and scanning Enumeration and system hacking Social engineering, malware threats, and vulnerability analysis Sniffers, session hijacking, and denial of service Web server hacking, web applications, and database attacks Wireless technologies, mobile security, and mobile attacks IDS, firewalls, and honeypots Cryptographic attacks and defenses Cloud computing, IoT, and botnets
    Note: Online resource; Title from title page (viewed February 8, 2022) , Mode of access: World Wide Web.
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  • 45
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (500 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can create artificial data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, with a focus on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. With this deeply practical book, you'll learn how to: Design an approach for solving ML and AI problems using simulations Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization (PPO) and soft actor-critic (SAO) Train ML models locally, concurrently, and in the cloud Use PyTorch, TensorFlow, the Unity ML-Agents and Perception Toolkits to enable ML tools to work with industry-standard game development tools
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 46
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their experience of fraud fighting to provide best practices, methodologies, and tools to help your organization detect and prevent fraud and other malicious activities. Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the ever-changing fraud landscape. With this book, you will: Examine current fraud attacks and learn how to mitigate them Find the right balance between preventing fraud and providing a smooth customer experience Share insights across multiple business areas, including ecommerce and banking Evaluate potential risks for a new vertical, market, or product Train and mentor teams by initiating hackathons and kickstarting brainstorming sessions Get a framework of fraud methods and fraud-fighting analytics
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 47
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (121 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up. With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh. Learn API fundamentals and architectural patterns for building an API platform Explore evolving trends such as asynchronous and streaming APIs Help drive your API program by performing an informed architectural role Build and configure key components of an API platform Deploy gateways and service meshes based on case studies Understand core security and vulnerabilities in API architecture Secure data and services using OAuth 2.0, TLS, and web application firewalls
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 48
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098106034 , 1098106032
    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.1
    Keywords: Computer software Development ; System design ; Electronic books ; local ; Electronic books
    Abstract: In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively. Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. Youâ??ll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems. You'll focus on: Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs Designing scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservices Designing scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistency Designing scalable streaming systems: Explore stream processing systems and scalable event-driven processing
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 49
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (81 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: With Amazon Web Services and other platforms designed for rapid adaptation and failure recovery, cloud computing is more like programming than traditional system administration. For developers, this practical book provides system administration knowledge to ensure you're using AWS effectively, so you can build a robust and resilient application infrastructure. System administrators will learn how to automate their favorite tools and processes. In the second edition of this guide, authors Federico Lucifredi, Jacob Zimmerman, and Mike Ryan show developers and system administrators how to configure and manage AWS services including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53. Fully configuring infrastructure with automation, this book walks you through developing a complete application example along the way. Even small DevOps teams can manage massively scalable application infrastructures once they drop old views and master automation. Securely deploy and manage your applications with AWS tools Automate AWS configuration management with Python, Puppet, and Ansible Deploy applications with autoscaling and elastic load balancing Explore ways to deploy application and infrastructure updates Save time on development and operations with reusable strategies Embrace GitOps versioning of infrastructure and application code alike Learn strategies for managing log files in AWS environments Configure a cloud-aware DNS service with Route 53 Use AWS CloudWatch to monitor your infrastructure and applications
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 50
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098109127 , 1098109120
    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 004.068/8
    Keywords: Configuration management ; Programming languages (Electronic computers) ; Open source software ; Electronic books ; local ; Electronic books
    Abstract: Among the many configuration management tools available, Ansible has some distinct advantages: It's minimal in nature. You don't need to install anything on your nodes. And it has an easy learning curve. With this updated third edition, you'll quickly learn how to be productive with this tool, whether you're a developer deploying code to production or a system administrator looking for a better automation solution. Authors Bas Meijer, Lorin Hochstein, and Rene Moser show you how to write playbooks (Ansible's configuration management scripts), manage remote servers, and explore the tool's real power: built-in declarative modules. You'll learn how Ansible has all the functionality you need and the simplicity you desire. Explore Ansible configuration management and deployment Learn how to apply Ansible best practices Understand how to use the new collections format Create a local development environment Generate reusable Ansible content for open source middleware Build container images, images for cloud instances, and cloud computing instances Ready to use Ansible for mission-critical work? With this new edition, you'll learn how to eliminate the guesswork and assumptions when using software engineering methods to validate code quality.
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: What will you learn from this book? Many people who use Git rely on "recipes"—basic copy-paste commands—without understanding how this version control system actually works. But what do you do if you find yourself in a tight spot? You can't simply wing it. With this unique hands-on guide, you'll learn valuable ways to use Git in many different situations. Raju Gandhi peels back the layers to reveal the simple yet powerful engine that powers Git, with activities that help you truly understand this crucial tool as you get it up and running. You’ll master branches, tags, stashes, and merges; learn best practices; collaborate with your team; and unlock the full potential of Git. 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 Git 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 June 25, 2022) , Mode of access: World Wide Web.
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  • 52
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Testing is a critical discipline for any organization looking to deliver high-quality software. This practical book provides software developers and QA engineers with a comprehensive one-stop guide to testing skills in 10 different categories. You'll learn appropriate strategies, concepts, and practical implementation knowledge you can apply from both a development and testing perspective for web and mobile applications. Author Gayathri Mohan offers examples of more than 40 tools you can use immediately. You'll acquire the skills to conduct exploratory testing, test automation, cross-functional testing, data testing, mobile testing, and visual testing, as well as tests for performance, security, and accessibility. You'll learn to integrate them in continuous integration pipelines to gain faster feedback. Once you dive into this guide, you'll be able to tackle challenging development workflows with a focus on quality. With this book, you will: Learn how to employ various testing types to yield maximum quality in your projects Explore new testing methods by following the book's strategies and concepts Learn how to apply these tools at work by following detailed examples Improve your skills and job prospects by gaining a broad exposure to testing best practices
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 53
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: Python (Computer program language) ; Programming languages (Electronic computers) ; Data mining ; Electronic books ; local ; Electronic books ; Exploration de données (Informatique) ; Python (Langage de programmation) ; Programming languages (Electronic computers) ; Data mining ; Python (Computer program language)
    Abstract: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You�?�¢??ll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It�?�¢??s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 54
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098106621 , 1098106628
    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: Databases ; Graph databases ; Electronic books ; local
    Abstract: With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected data: connect, analyze, and learn. Victor Lee, Xinyu Chan, and Gaurav Deshpande from TigerGraph present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization. Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning Learn how graph analytics and machine learning can deliver key business insights and outcomes Use five core categories of graph algorithms to drive advanced analytics and machine learning Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen Discover insights from connected data through machine learning and advanced analytics
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 55
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098108830 , 1098108833
    Language: English
    Pages: 1 online resource (43 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.26/2
    Keywords: Quantum computing ; Programming languages (Electronic computers) ; Electronic books ; local ; Electronic books
    Abstract: Q# is a domain-specific language for quantum programming that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with--or willing to learn--the basics of quantum computing, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle, from implementing the program to testing and debugging it to running it on quantum hardware, and you'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. In this pocket guide, you'll find: Q# language details, including data types, statements, syntax, and expressions Guidelines for organizing Q# code and invoking it from different environments Information on simulators and tools in the Microsoft Quantum Development Kit Advice on testing and debugging tools and techniques for quantum programs
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 56
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (69 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You'll examine: What ML is : how it functions and what it relies on Conceptual frameworks for understanding how ML "loops" work Effective "productionization," and how it can be made easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to get around them How ML, product, and production teams can communicate effectively
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : dpunkt | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (310 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: In diesem Fotoscout zeigen der Marokko-Kenner Jörg Löffler und die Fotografin Karen Meyer-Rebentisch den Reisenden, wo sie faszinierende und typische Motive finden. Neben zahlreichen Bildbeispielen geben sie praktische Tipps, wie und wann Aufnahmen am besten gelingen und worauf beim Fotografieren in dem islamisch geprägten Land besonders zu achten ist.Ein Rausch der Farben und Formen, das unglaublich brillante Licht, die Vielfalt der Landschaften, orientalische Archiktektur, bunte Märkte und ursprüngliche Handwerkskunst – das alles macht den Maghrebstaat zu einem Traumziel für Fotografierende.
    Note: Online resource; Title from title page (viewed January 1, 2022) , Mode of access: World Wide Web.
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  • 58
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (133 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: With the rise of the cloud, every aspect of IT has been shaken to its core. The fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems. Based on his hard-earned experience working with some of the world's biggest enterprises and rapidly iterating startups, consultant Josh Armitage covers the trade-offs that security professionals, developers, and infrastructure gurus need to make when working with different cloud providers. Each recipe discusses the inherent trade-offs, as well as where clouds have similarities and where they're fundamentally different. Learn how the cloud provides superior security to what was achievable in an on-premises world Understand the principles and mental models that enable you to make optimal trade-offs as part of your solution Learn how to implement existing solutions that are robust and secure, and devise design solutions to new and interesting problems Deal with security challenges and solutions both horizontally and vertically within your business
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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  • 59
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Berrett-Koehler Publishers | Boston, MA : Safari
    ISBN: 9781523092550
    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: This is the first in-depth examination of the important ongoing fusion of activism, capitalism, and social change masterfully told through a compelling narrative filled with vivid stories and striking studies. Today, corporations and their executives are at the front lines of some of the most important and contentious social and political issues of our time, such as voting rights, gun violence, racial justice, immigration reform, climate change, and gender equality. Why is this sea change in business and activism happening? How should executives and activists engage one another to create meaningful progress? What are potential pitfalls and risks for each side? What can they learn from each other? What first principles should guide leaders moving forward? The Capitalist and the Activist offers an engaging and thoughtful look at the new reality of corporate social activism—its driving forces, promises and perils, and implications for our businesses and personal lives. Weaving deep research and fascinating stories that span business, entertainment, history, science, and politics, Tom Lin provides an insightful road map for how society arrived here and a practical compass for moving forward. Drawing together examples from the civil rights movement, campaign finance litigation, gun regulation, Black Lives Matter, the Confederate flag controversy, the Trump presidency, and other historical events, Lin brilliantly reveals and charts the course for a changing society of capitalists and activists seeking both profit and progress. The Capitalist and the Activist is a must-read for anyone trying to understand the emerging future of activism, business, and politics.
    Note: Online resource; Title from title page (viewed January 10, 2022) , Mode of access: World Wide Web.
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  • 60
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (43 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data observability Program your own data quality monitors from scratch Develop and lead data quality initiatives at your company Generate a dashboard to highlight your company's key data assets Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 61
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (74 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Zwingmann, Tobias AI-powered business intelligence
    DDC: 658.4/72
    Keywords: Business intelligence Data processing ; Artificial intelligence Industrial applications ; Electronic books ; Artificial intelligence ; Industrial applications
    Abstract: Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision-making. With this practical book, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, image, and voice audio files. Author Tobias Zwingmann, senior data scientist and cofounder of Germany-based AI startup RAPYD.AI, helps BI, business, and data analysts understand high-impact areas of predictive and prescriptive analytics. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proof of concepts without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments Use AutoML for automated classification and improved forecasting Implement recommendation services to support decision-making Draw insights from text data at scale with NLP services Extract information from documents and images with computer vision services Make voice audio files accessible for reporting with AI transcription services Build interactive user frontends for AI-powered dashboard prototypes Implement an end-to-end case study for building an AI-powered customer analytics dashboard
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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  • 62
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (62 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language. C++ trainer and consultant Klaus Iglberger explains how you can manage dependencies and abstractions, improve changeability and extensibility of software entities, and apply and implement modern design patterns to help you take advantage of today's possibilities. Design is the most essential aspect of a software project because it impacts the software's most important properties: maintainability, changeability, and extensibility. Learn how to evaluate your code with respect to software design Understand what software design is, including design goals such as changeability and extensibility Explore the advantages and disadvantages of each design approach Learn how design patterns help solve problems and express intent Choose the right form of a design pattern to gain most of its advantages
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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  • 63
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation--linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations. Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them. You'll learn: How Google Cloud integrates with GA4 The potential use cases that GA4 integrations can enable Skills and resources needed to create GA4 integrations How much GA4 data capture is necessary to enable use cases The process of designing dataflows from strategy though data storage, modeling, and activation
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (63 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: For years, companies have rewarded their most effective engineers by suggesting they move to a management position. But treating management as the default — or only — path for an engineer with leadership ability doesn't serve the industry well. The staff engineer path allows you to contribute at a high level, with more free time to drive big projects, determine tech strategy, and raise everyone's skills. With this in-depth book, author Tanya Reilly shows you ways to master strategic thinking, manage difficult projects, and set the standard for technical work. You'll learn how to be a leader without direct authority, how to plan ahead so that you're making the right technical decisions, and how to make everyone around you better, all while still leaving you time to grow as an expert in your domain. In three parts, you'll explore the three pillars of an engineer's job: Big picture thinking: learn how to take a broad, strategic view when thinking about your work Project execution: dive into tactics and explore the practicalities of making projects succeed Being a positive influence: determine the standards for what "good engineering" means in your organization
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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  • 65
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 1st edition
    DDC: 610.285
    Keywords: Medical informatics Research ; Medicine Data processing ; Electronic books
    Abstract: Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved — once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics. With this book, you'll learn: The different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims data The challenges of working with healthcare data, especially when trying to aggregate data from multiple sources Current options for extracting structured data from clinical text How to make trade-offs when using tools and frameworks for normalizing structured healthcare data How to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (320 pages)
    Edition: 3rd edition
    DDC: 004/.36
    Keywords: Electronic data processing Distributed processing ; Application software Development ; Open source software ; Electronic books
    Abstract: In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book's updated third edition, you'll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency—whether you're new to distributed systems or have been deploying cloud native apps for some time. Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson—who have worked on Kubernetes at Google and beyond—explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers. This guide shows you how to: Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    DDC: 004.6782
    Keywords: Database management ; Big data ; Data mining ; Data Mining ; Electronic books ; Données volumineuses ; Exploration de données (Informatique) ; Bases de données ; Gestion
    Abstract: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (65 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, evaluate, and analyze data to generate meaningful insights and compelling visualizations. Through foundational concepts and worked examples, author Susan McGregor provides the tools you need to evaluate and analyze all kinds of data and communicate your findings effectively. This book provides a methodical, jargon-free way for practitioners of all levels to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Complete exercises either on your own machine or on the web Collect data from structured data files, web pages, and APIs Perform basic statistical analysis to make meaning from data sets Visualize and present data in clear and compelling ways
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (118 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Give your organization the data protection it deserves, without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators today have their work cut out for them to protect physical and virtual machines in the data center and the cloud, mobile devices in laptops and tablets, SaaS services like Microsoft 365, Google Workspace, and Salesforce, and any persistent data created by Kubernetes and container workloads. To help you navigate the breadth and depth of this challenge, this book presents several solutions so you can determine which one is right for your company. You'll learn the unique requirements that each workload presents, then explore various categories of commercial backup hardware, software, and services available to protect these data sources, including the advantages and disadvantages of each approach. Learn the workload types that your organization should be backing up Explore the hardware, software, and services you can use to back up your systems Understand what's wrong with your current data protection system Pair your backed-up workloads to the appropriate backup system Learn the adjustments you need to make to make your backups better, without wasting money
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This book provides a comprehensive overview on best practices for troubleshooting and performance tuning in SQL Server. It reviews how to identify performance issues, how to troubleshoot the system in a holistic fashion, and how to properly prioritize tuning efforts in order to induce the best system performance possible. The book also discusses interdependencies between database components, while spotlighting ways to avoid the bottlenecks that can be triggered by those dependencies. The troubleshooting and performance tuning techniques presented in the book are compatible with any version of SQL Server. They cover both on-premise and Cloud-based SQL Server installations, including Microsoft Azure SQL Databases and Amazon SQL Server RDS. Reflecting the approaches used by many high-end SQL Server consultants, SQL Server Advanced Troubleshooting and Performance Tuning is a valuable resource that will help readers master troubleshooting and performance tuning skills and get the best performance out of SQL Server.
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (157 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations. Author Carl Allchin shows anyone how to find data sources and develop data analytics, and teaches those with more data expertise how to visualize data to convey findings to key business leaders more effectively. Once your business and data experts both possess the skills to work with data and interpret its significance, you can deal with questions and challenges in departments across your organization. Learn the fundamental data skills required to work with data Use data visualization to influence change in your organization Learn how to apply data techniques to effectively work with data end to end Understand how to communicate data points clearly and persuasively Appreciate why different stakeholders often have divergent needs and views Create a playbook for using data with different departments
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 72
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your organization adopts microservices, you also need a service mesh, the infrastructure layer that handles interservice communication in microservice architectures. This seminal book provides patterns and operational best practices to help you deploy and use service meshes in a way that meets your company's goals and needs. Developers face a wide range of choices today: which service mesh to use, which features to deploy, and the best ways to exploit and deploy those features. Whether you're investigating service meshes or already use one, authors Lee Calcote and Nic Jackson provide universal patterns applicable to any service mesh: Istio, Linkerd, Consul, App Mesh, and more. Get a vendor-neutral perspective on where each mesh shines (and perhaps, doesn't) Understand how service meshes benefit developers, operators, and service owners differently Determine whether you're running your mesh effectively Avoid service mesh lock-in through use of service mesh abstractions Learn common deployment patterns for implementing a specific service mesh function Use configuration best practices to avoid common pitfalls Explore federation of service mesh deployments and other service mesh types As microservices proliferate your environment, fear not: service meshes are here to manage your service sprawl. This book shows you how.
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 73
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Your code is a testament to your skills as a developer. No matter what language you use, your code should be clean, elegant, and uncluttered? With test-driven development (TDD), you'll write better code--code that's easy to understand, retains its elegance, and works for years to come. This indispensable guide will show you how TDD works in three different languages: Go, JavaScript, and Python. With Learning Test-Driven Development at your side, you'll be able to: Tame domain complexity using a divide-and-conquer approach Understand how TDD works across languages, testing frameworks, and domain concepts See how TDD enables continuous integration and continuous delivery Support refactoring and redesign with TDD Set up a continuous integration environment with the unit tests produced during TDD Write clean, uncluttered code using TDD in Go, JavaScript, and Python
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 74
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: First episode of 52 Weeks of Swift. Cover Swift Playgrounds in Xcode as well as building a command-line tool using third party Swift argument parsing.
    Note: Online resource; Title from title screen (viewed January 12, 2022) , Mode of access: World Wide Web.
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  • 75
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781803230245
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Explore how you can create amazing mini projects to learn JavaScript - grow your portfolio - expand your skills! About This Video Get started with JavaScript DOM coding and development Create fun interactive games and components with JavaScript Learn to detect collision between page elements with JavaScript DOM In Detail JavaScript can bring your web pages to life. Select page elements, make changes and update them as needed. Power up your web pages. Create amazing content on your pages, driven dynamically with JavaScript. Projects within this course are designed to help you learn more about JavaScript and interacting with the DOM. Learn by example, this course is loaded with fun projects to help you learn and prove what can be done with JavaScript. First is an introduction to the DOM and how JavaScript can create page interactions. Explore how to write JavaScript code, select page elements, and more. This course is loaded with useful projects to help you learn more about creating interactive and dynamic web content with JavaScript. The course covers the following topics: JavaScript projects DOM interactive Dynamic webpages Introduction to web development Course resource guide JavaScript starter projects DOM simple projects to start coding JavaScript DOM interactive components and useful projects JavaScript DOM fun projects Interactive DOM elements By the end of the course, you will be able to create interactive and dynamic web content with JavaScript. Who this book is for This course is for JavaScript developers, web designers, web application developers, web masters, and for anyone who wants to create fun web projects and someone who wants to learn more about JavaScript and the DOM. Beginner JavaScript knowledge is needed as the course covers only JavaScript relevant to the building of the game. Also, HTML and CSS knowledge is essential as the scope of this course is all focused-on JavaScript.
    Note: Online resource; Title from title screen (viewed January 19, 2022) , Mode of access: World Wide Web.
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  • 76
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    [Erscheinungsort nicht ermittelbar] : Wiley | Boston, MA : Safari
    ISBN: 9781119867876
    Language: English
    Pages: 1 online resource (512 pages)
    Edition: 3rd edition
    Keywords: Electronic books
    Abstract: An essential, all-in-one guide to investment banking and valuation, complete with downloadable models – this new edition reflects valuable contributions from Nasdaq and the global law firm Latham & Watkins LLP plus access to the online valuation models and course. The thoroughly revised Third Edition of Investment Banking: Valuation, LBOs, M&A, and IPOs (Book + Valuation Models) delivers the most current discussion of valuation and deal-making fundamentals essential to the work of investment bankers, private equity professionals, hedge fund investors, corporate lawyers, executives, and students. Drawing on over four decades of combined experience in investment banking and investing, authors Joshua Rosenbaum and Joshua Pearl explain how to perform the valuation work and financial analysis at the core of Wall Street – comparable companies, precedent transactions, DCF, LBO, M&A analysis...and now IPO analytics and valuation. Using a step-by-step, how-to approach for each methodology, the authors build a chronological knowledge base and define key terms, financial concepts, and processes throughout the book. Now, over 10 years after the release of the first edition, the book is more relevant and topical than ever. The book has sold over 250,000 copies and is used in over 200 universities globally. It has become a go-to resource for investment banks, private equity, investment firms, and corporations undertaking M&A transactions, LBOs, IPOs, restructurings, and investment decisions. While the fundamentals haven't changed, the environment must adapt to changing market developments and conditions. As a result, Rosenbaum and Pearl have updated their widely-adopted book accordingly, turning the latest edition into a unique and comprehensive training package. The Third Edition includes six downloadable valuation model templates: Comparable Companies Analysis, Precedent Transactions Analysis, Discounted Cash Flow Analysis, Leveraged Buyout Analysis, M&A Analysis, and IPO Valuation, available at www.wiley.com/go/investmentbanking3e.
    Note: Online resource; Title from title page (viewed February 8, 2022) , Mode of access: World Wide Web.
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  • 77
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Find out how to share and use Google Colab notebooks for data science!
    Note: Online resource; Title from title screen (viewed January 14, 2022) , Mode of access: World Wide Web.
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  • 78
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: What are the three most important files in a Python project? * Makefile * Dockerfile * Requirements
    Note: Online resource; Title from title screen (viewed January 21, 2022) , Mode of access: World Wide Web.
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  • 79
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This practical book introduces new cloud native approaches for Kubernetes practitioners, like yourself, who care about the security and observability of mission-critical microservices. Through practical guidance and best practice recommendations, this book helps you understand why cloud native applications require a modern approach to security and observability practices and how to implement them. Do you want to know how to secure and troubleshoot your cloud native applications? Or are you part of a group that wants to solve security and observability challenges before fully adopting Kubernetes in your organization? This book takes you through the full breadth of new cloud native approaches for establishing security and observability with Kubernetes. Learn why you need a security and observability strategy for cloud native applications and determine your scope of coverage Understand key concepts behind Kubernetesâ??s security and observability approach Explore the technology choices you can make to meet each aspect of this strategy Discover how to split security responsibilities across multiple teams or roles Learn ways to architect Kubernetes security and observability for multicloud and hybrid environments
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 80
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098103620 , 1098103629
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: SPARK (Electronic resource) ; Python (Computer program language) ; Data mining ; Electronic books ; local ; Electronic books ; SPARK (Electronic resource)
    Abstract: The amount of data being generated today is staggering. And growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. Familiarize yourself with Spark's programming model and ecosystem Learn general approaches in data science Examine complete implementations that analyze large public datasets Discover which machine learning tools make sense for particular problems Explore code that can be adapted to many uses
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 81
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (44 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: TypeScript has conquered the world of JavaScript: it's one of the world's fastest growing and most popular languages across developer surveys, widely used in consumer and business companies alike, and frequently credited for helping massive web applications scale. But what is TypeScript? How does it work, why does it work, and how can we use it? Learning TypeScript takes beginner to intermediate JavaScript programmers from knowing nothing about "types" or a "type system" to full mastery of the fundamentals of TypeScript. It's more than a means to find bugs and typos--it's a useful system for declaring the way our JavaScript should work and helping us stick to it. You'll learn how TypeScript: interacts with JavaScript analyzes and understands code augments your existing development pattern helps you document your code works with IDEs to provide refactoring tools assists local development in refactoring code helps you develop more quickly with fewer bugs
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 82
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781492094494 , 1492094498
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 658.4/03
    Keywords: Database management ; Machine learning ; Management information systems ; Business Databases Management ; Information storage and retrieval systems Reliability ; Electronic books ; local ; Electronic books ; Bases de données ; Gestion ; Apprentissage automatique ; Systèmes d'information de gestion ; Affaires ; Bases de données ; Gestion ; Systèmes d'information ; Fiabilité
    Abstract: Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. You'll gain a solid understanding of the concepts, tools, and processes needed to: Design, deploy, and ship training data for production-grade deep learning applications Integrate with a growing ecosystem of tools Recognize and correct new training data-based failure modes Improve existing system performance and avoid development risks Confidently use automation and acceleration approaches to more effectively create training data Avoid data loss by structuring metadata around created datasets Clearly explain training data concepts to subject matter experts and other shareholders Successfully maintain, operate, and improve your system
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 83
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781492088851 , 1492088854
    Language: English
    Pages: 1 online resource (650 pages)
    Edition: 4th edition
    DDC: 005.75/85
    Keywords: SQL server ; SQL (Computer program language) ; Client/server computing ; Electronic books ; local ; Electronic books ; SQL server
    Abstract: For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products. This new fourth edition clearly documents SQL commands according to the latest ANSI/ISO standard and details how those commands are implemented in Microsoft SQL Server 2019 and Oracle 19c, as well as in the MySQL 8, MariaDB 10.5, and PostgreSQL 13 open source database products. You'll also get a concise overview of the relational database management system (RDBMS) model and a clear-cut explanation of foundational RDBMS concepts--all packed into a succinct, comprehensive, and easy-to-use format. Sections include: Background on the relational database model, including current and previous SQL standards Fundamental concepts necessary for understanding relational databases and SQL commands An alphabetical command reference to SQL statements, according to the SQL:2016 ANSI standard The implementation of each command by MySQL, Oracle, PostgreSQL, and SQL Server An alphabetical reference of the ANSI SQL:2016 functions and constructs as well as the vendor implementations Platform-specific functions unique to each implementation
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 84
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (78 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to: Recognize the nuances and pitfalls of probability math Master statistics and hypothesis testing (and avoid common pitfalls) Discover practical applications of probability, statistics, calculus, and machine learning Intuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and added Perform calculus derivatives and integrals completely from scratch in Python Apply what you've learned to machine learning, including linear regression, logistic regression, and neural networks
    Note: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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  • 85
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098112448 , 109811244X
    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.7/6
    Keywords: Application software Development ; Quantum computing ; Electronic books ; local ; Electronic books ; Application software ; Development
    Abstract: Why is the quantum computing market expected to grow by nearly $1.3 billion over the next five years? Given their quantum mechanical nature, quantum computers can solve difficult problems in fields such as chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply the appropriate Qiskit classes, methods, and functions. You'll also learn how to use the latest version of the Open Quantum Assembly Language, OpenQASM 3.0.
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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  • 86
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (32 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This essential guide covers all aspects of Linux system administration, from user maintenance, backups, filesystem housekeeping, storage management, and network setup to hardware and software troubleshooting and some application management. It's both a practical daily reference manual for sysadmins and IT pros and a handy study guide for those taking Linux certification exams. You'll turn to it frequently, not only because of the sheer volume of valuable information it provides but because of the real-world examples within and the clear, useful way the information is presented. With this book at your side, you'll be able to: Install Linux and perform initial setup duties, such as connecting to a network Navigate the Linux filesystem via the command line Install software from repositories and source and satisfy dependencies Set permissions on files and directories Create, modify, and remove user accounts Set up networking Format and mount filesystems Perform basic troubleshooting on hardware and software Create and manage logical volumes Work with SELinux Manage a firewall and iptables Shut down, reboot, and recover a system Perform backups and restores
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 87
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (63 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Authors Patrick Hall and Rumman Chowdhury created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large. Learn how to create a successful and impactful responsible AI practice Get a guide to existing standards, laws, and assessments for adopting AI technologies Look at how existing roles at companies are evolving to incorporate responsible AI Examine business best practices and recommendations for implementing responsible AI Learn technical approaches for responsible AI at all stages of system development
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098110703 , 1098110706
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.3
    Keywords: Artificial intelligence ; Automation ; Decision making Data processing ; Electronic books ; Decision making ; Data processing
    Abstract: Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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  • 89
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (72 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Want to increase your Linux productivity to get more done in less time? This practical book teaches you how to be quick and efficient at the Linux command line. You'll learn to create and run complex commands that solve real business problems, organize your files for quick access, efficiently process and retrieve information, and automate manual tasks. You'll truly understand what happens behind the shell prompt. Efficient Linux at the Command Line teaches general best practices and the concepts behind them, so no matter which Linux tools you use, you can become more effective in your daily work and more competitive in the job market. You'll learn: How to invent powerful Linux commands on the fly that get your work done quickly Which Linux features are handled by commands and which are built into the shell that launches those commands--and why it matters A dozen different ways to run commands, including pipelines, subshells, command substitution, process substitution, and more--and when to use each for best advantage
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Track, branch, merge, and manage code revisions with Git, the free and open source distributed version control system. Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions. You'll learn how to work with everything from small to very large projects with speed and efficiency. In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach. You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow. Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood. Learn how to use Git for real-world development scenarios Gain insight into Git's common use cases, initial tasks, and basic functions Use the system for distributed version control Learn how to manage merges, conflicts, patches, and diffs Apply advanced techniques such as rebasing, hooks, and ways to handle submodules
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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  • 91
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (63 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many organizations today orchestrate and maintain apps that rely on other people's services. Software designers, developers, and architects in those companies often work to coordinate and maintain apps based on existing microservices, including third-party services that run outside their ecosystem. This cookbook provides proven recipes to help you get those many disparate parts to work together in your network. Author Mike Amundsen provides step-by-step solutions for finding, connecting, and maintaining applications designed and built by people outside the organization. Whether you're working on human-centric mobile apps or creating high-powered machine-to-machine solutions, this guide shows you the rules, routines, commands, and protocols--the glue --that integrates individual microservices so they can function together in a safe, scalable, and reliable way. Design and build individual microservices that can successfully interact on the open web Increase interoperability by designing services that share a common understanding Build client applications that can adapt to evolving services without breaking Create resilient and reliable microservices that support peer-to-peer interactions on the web Use web-based service registries to support runtime "find-and-bind" operations that manage external dependencies in real time Implement stable workflows to accomplish complex, multiservice tasks consistently
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781492093138 , 1492093130
    Language: English
    Pages: 1 online resource (106 pages)
    Edition: 4th edition
    DDC: 005.75/65
    Keywords: MySQL (Electronic resource) ; SQL (Computer program language) ; Database management ; Relational databases ; Electronic books ; local ; Electronic books
    Abstract: For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That's where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don't have the time (or expertise) to resolve MySQL problems from scratch. In this updated fourth edition, authors Sveta Smirnova and Alkin Tezuysal provide more than 200 recipes that cover powerful features in both MySQL 5.7 and 8.0. Beginners as well as professional database and web developers will dive into topics such as MySQL Shell, MySQL replication, and working with JSON. You'll learn how to: Connect to a server, issue queries, and retrieve results Retrieve data from the MySQL Server Store, retrieve, and manipulate strings Work with dates and times Sort query results and generate summaries Assess the characteristics of a dataset Write stored functions and procedures Use stored routines, triggers, and scheduled events Perform basic MySQL administration tasks Understand MySQL monitoring fundamentals
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098103798 , 1098103793
    Language: English
    Pages: 1 online resource (65 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatforming or migrating data unnecessarily. You'll learn how to: Efficiently capture, store, and process large amounts of data at an amazing speed Rapidly ingest and transform real-time data feeds in both structured and semistructured format and deliver meaningful data insights within minutes Use Time Travel and Zero-Copy cloning to produce a sensible data recovery strategy that balances the need for system resilience with ongoing storage cost Securely share data and reduce or eliminate data integration costs by accessing fresh, ready-to-query data sets available within the Snowflake Data Marketplace
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 94
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: We're building more products today than ever before, but most of them fail--not because we can't complete what we want to build but because we waste time, money, and effort building the wrong product. What we need is a systematic process for quickly vetting product ideas and raising our odds of success. That's the promise of Running Lean. In this inspiring book, Ash Maurya takes you through an exacting strategy for achieving a product/market fit for your fledgling venture. You'll learn ideas and concepts from several innovative methodologies, including the Lean Startup, business model design, design thinking, and Jobs-to-be-Done. This new edition introduces the continuous innovation framework and follows one entrepreneur's journey to uncover, design, and build a product that matters. Know when to "pivot" by changing your plan's course Maximize your efforts for speed, learning, and focus Learn the ideal time to raise your "big round" of funding Find a problem worth solving, then define a solution Engage your customers throughout the development cycle Continually test your product with smaller, faster iterations Build a feature, measure customer response, and verify or refute the idea
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 95
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098111724 , 1098111729
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.1/14
    Keywords: Functional programming (Computer science) ; Computational complexity ; Electronic books ; local ; Electronic books
    Abstract: Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects. Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming. Learn functional programming fundamentals and explore the way functional programmers approach problems Understand how FP differs from object-oriented and imperative programming Use a set of practical, applicable design patterns that model reality in a functional way Learn how to incorporate FP and OOP features into software projects Apply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 96
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (78 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be quick to fall apart. In this book, Chip Huyen provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. These systems have the capacity to learn from new data, improve on past mistakes, and adapt to changing requirements and environments. Youâ??ll learn everything from project scoping, data management, model development, deployment, and infrastructure to team structure and business analysis. Learn the challenges and requirements of an ML system in production Build training data with different sampling and labeling methods Leverage best techniques to engineer features for your ML models to avoid data leakage Select, develop, debug, and evaluate ML models that are best suit for your tasks Deploy different types of ML systems for different hardware Explore major infrastructural choices and hardware designs Understand the human side of ML, including integrating ML into business, user experience, and team structure
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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  • 97
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Shell scripts are everywhere, especially those written in bash compatible syntax, and it's extremely useful to be able to understand and write them, but they can be complex and obscure. Complexity is the enemy of security, but it's also the enemy of readability and understanding. With this practical book, you'll learn how to decipher old bash code and write new code that's as clear and readable as possible. Your future you will thank you. Authors Carl Albing and JP Vossen show you how to use the power and flexibility of the shell to your advantage. You'll learn how to read and write scripts like an expert, so that you can: Write useful, flexible, and readable bash code...with style Decode bash code such as ${MAKEMELC,,} and ${PATHNAME##*/} Save time and ensure consistency when automating tasks Amaze and impress colleagues with bash idioms Discover how bash idioms can make your code clean and concise
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 98
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (187 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: You'll find several books on MySQL basics today, but only one that covers advanced MySQL performance--and nothing in between. That's because explaining MySQL performance without addressing its complexity is difficult. This practical book bridges the gap by teaching developers mid-level MySQL knowledge beyond the fundamentals, but well shy of deep-level internals required by DBAs. Daniel Nichter shows you how to apply best practices and techniques that directly affect efficient MySQL performance. You'll learn how to focus on query response time, optimize queries and data to increase performance, and monitor and understand the most important MySQL metrics. You'll also discover how not to use MySQL, including situations where this database is clearly the wrong choice. Understand why query response time is the North Star of MySQL performance Learn why indexing, not hardware or MySQL config, is the key to performance Examine query metrics in detail, including aggregation, reporting, and analysis Explore ways of improving query response time through query optimization Understand how to monitor MySQL and learn what the metrics mean
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 99
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (85 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Software engineers today typically put performance optimizations low on the list of development priorities. But despite significant technological advancements and lower-priced hardware, software efficiency still matters. With this book, Go programmers will learn how to approach performance topics for applications written in this open source language. How and when should you apply performance efficiency optimization without wasting your time? Authors Bartlomiej Plotka and Frederic Branczyk provide the tools and knowledge you need to make your system faster using fewer resources. Once you learn how to address performance in your Go applications, you'll be able to bring small but effective habits to your programming and development cycle. This book shows you how to: Continuously monitor for performance and efficiency regressions Find the root cause of performance bottlenecks using metrics, logging, tracing, and profiling Use tools like pprof, go test, benchstat and k6.io to create reliable micro- and macro-benchmarks Improve and optimize your code to meet your goals without sacrificing simplicity and readability Make data-driven decisions by prioritizing changes that make a difference Introduce basic "performance hygiene" in day-to-day Go programming and testing
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 100
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (85 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get started with Selenium WebDriver, the open source library for automating tests to ensure your web application performs as expected. In this practical hands-on book, author Boni Garcia takes Java developers through Selenium's main features for automating web navigation, browser manipulation, web element interaction, and more, with ready-to-be-executed test examples. You'll start by learning the core features of the Selenium framework (composed by WebDriver, Grid, and IDE) and its ecosystem. Discover why Selenium is the de facto framework for developing end-to-end tests on your web application. You'll explore ways to use advanced Selenium WebDriver features, including using web browsers in Docker containers or the DevTools protocol. Selenium WebDriver examples in this book are available on GitHub. With this book, you'll learn how to: Set up a Java project containing end-to-end tests that use Selenium WebDriver Conduct automated interaction with web applications Use strategies for managing browser-specific capabilities and cross-browser testing Interact with web forms, manage pop-up messages, and execute JavaScript Control remote browsers and use advanced browser infrastructure for Selenium WebDriver tests in the cloud Model web pages using object-oriented classes to ease test maintenance and reduce code duplication
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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