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  • 1
    Online Resource
    Online Resource
    Street coder : the rules to break and how to break them (2022)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 47 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.13
    Keywords: Computer programming ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. I've just finished the digital copy of this content-packed 274 pages of insightful technical guide and it definitely goes onto my list of useful sources for software developers, CS students, and even technical leads. Asil Çetin-Aufricht, Team Lead, Software Development, KPMG Austria Computer science theory quickly collides with the harsh reality of professional software development. This wickedly smart and devilishly funny beginner's guide shows you how to get the job done by prioritizing tasks, making quick decisions, and knowing which rules to break. In Street Coder you will learn: Data types, algorithms, and data structures for speedy software development Putting "bad" practices to good use Learn to love testing Embrace code breaks and become friends with failure Beginner-friendly insight on code optimization, asynchronous programming, parallelization, and refactoring Street Coder: Rules to break and how to break them is a programmer's survival guide, full of tips, tricks, and hacks that will make you a more efficient programmer. It takes the best practices you learn in a computer science class and deconstructs them to show when they're beneficial-- and when they aren't! This book's rebel mindset challenges status quo thinking and exposes the important skills you need on the job. You'll learn the crucial importance of algorithms and data structures, turn programming chores into programming pleasures, and shatter dogmatic principles keeping you from your full potential. Welcome to the streets!
    Note: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Managing machine learning projects (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 19 min.)) , sound, color.
    Edition: Video edition.
    DDC: 006.3/1068
    Keywords: Machine learning Management ; Project management ; Apprentissage automatique ; Gestion ; Gestion de projet ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Guide machine learning projects from design to production with the techniques in this one-of-a-kind project management guide. No ML skills required In Managing Machine Learning Projects you'll learn essential machine learning project management techniques, including: Understanding an ML project's requirements Setting up the infrastructure for the project and resourcing a team Working with clients and other stakeholders Dealing with data resources and bringing them into the project for use Handling the lifecycle of models in the project Managing the application of ML algorithms Evaluating the performance of algorithms and models Making decisions about which models to adopt for delivery Taking models through development and testing Integrating models with production systems to create effective applications Steps and behaviors for managing the ethical implications of ML technology Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You'll follow an in-depth case study through a series of sprints and see how to put each technique into practice. The book's strong consideration to data privacy, and community impact ensure your projects are ethical, compliant with global legislation, and avoid being exposed to failure from bias and other issues. About the Technology Ferrying machine learning projects to production often feels like navigating uncharted waters. From accounting for large data resources to tracking and evaluating multiple models, machine learning technology has radically different requirements than traditional software. Never fear! This book lays out the unique practices you'll need to ensure your projects succeed. About the Book Managing Machine Learning Projects is an amazing source of battle-tested techniques for effective delivery of real-life machine learning solutions. The book is laid out across a series of sprints that take you from a project proposal all the way to deployment into production. You'll learn how to plan essential infrastructure, coordinate experimentation, protect sensitive data, and reliably measure model performance. Many ML projects fail to create real value--read this book to make sure your project is a success. What's Inside Set up infrastructure and resource a team Bring data resources into a project Accurately estimate time and effort Evaluate which models to adopt for delivery Integrate models into effective applications About the Reader For anyone interested in better management of machine learning projects. No technical skills required. About the Author Simon Thompson has spent 25 years developing AI systems to create applications for use in telecoms, customer service, manufacturing and capital markets. He led the AI research program at BT Labs in the UK, and is now the Head of Data Science at GFT Technologies. Quotes Provides many examples of practical implementation issues including scoping, sprints, case studies, and request tickets. - Abi Aryan, MLOps Podcast Golden for all managers, even those with a less technical background. Lucid concept explanations. - Amrita Sarkar, Thomson Reuters Years of experience boiled down to workable checklists, handy anecdotes, and guidance on regulatory and legal frameworks. Ignore at your peril. - Dan Gilks, British Telecommunications.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 17, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Podman in action (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 55 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.3
    Keywords: Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The next generation of containers is here. Learn Podman directly from its creator, discover its exceptional security features, and start managing rootless containers that integrate easily into your systems. In Podman in Action you will learn how to: Build and run containers in rootless mode Develop and manage pods Use SystemD to oversee a container's lifecycle Work with the Podman service via Python Keep your containers confined using Podman security features Manage containerized applications on edge devices Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. You'll quickly get to grips with Podman's unique advantages over Docker, and learn how easy it is to migrate your Docker-based infrastructure. It also demonstrates how, with Podman, you can easily convert containerized applications into Kubernetes-based microservices. About the Technology It's time to upgrade your container engine! The Podman container manager delivers flexible image layer control, seamless Kubernetes compatibility, and rootless containers that can be created, run, and managed by users without admin rights. Plus, its OCI-compliant support for the Docker API lets you shift existing containers to Podman without breaking your scripts or changing the way you work. About the Book Podman in Action introduces the Podman container manager. The easy-to-follow explanations and examples give you a clear view of what containers are, how they work, and how to manage them using Podman's powerful features. You'll get a deep look at the Linux components Podman uses and even learn more about Docker along the way. You'll especially appreciate author Dan Walsh's unique insights into container security. What's Inside Develop and manage pods Key security concepts including SELinux and SECCOMP Use systemd to oversee a container's lifecycle Keep your containers confined using Podman security Manage containerized applications on edge devices Install and run Podman on MacOS and Windows About the Reader For developers or system administrators experienced with Linux and Docker. About the Author Daniel Walsh is a senior distinguished engineer at Red Hat, and leads the team that created Podman. Quotes Red Hat's own master of container security beautifully explains this important container ecosystem. - Michael Bright, mjbright Consulting Filled to the brim with examples and best practices. - Mladen Kne¿ℓi♯⁷, CROZ Showcases Podman's architecture, advanced security features, rootless containers, integration with systemd, and much more. I highly recommend it. - Andrea Monacchi, Chili.com A must-read for anyone who wants to harness the power of Podman and the nextgen container ecosystem. - Gowtham Sadasivam, Acceldata.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Spring start here (2021)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 4 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.13/3
    Keywords: Spring (Software framework) ; Application software Development ; Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Spring Start Here teaches Java developers how to build applications using Spring framework. Informative graphics, relevant examples, and author Lauren¿Điu Spilc♯³'s clear and lively writing make it easy to pick up the skills you need. You'll discover how to plan, write, and test applications. And by concentrating on the most important features, this no-nonsense book gives you a firm foundation for exploring Spring's rich ecosystem.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Privacy-preserving machine learning (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 38 min.)) , sound, color.
    Edition: Video edition.
    DDC: 006.3/1
    Keywords: Machine learning ; Computer networks Security measures ; Apprentissage automatique ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You'll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels will benefit from incorporating these privacy-preserving practices into their model development. By the time you're done reading, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. About the Technology Machine learning applications need massive amounts of data. It's up to you to keep the sensitive information in those data sets private and secure. Privacy preservation happens at every point in the ML process, from data collection and ingestion to model development and deployment. This practical book teaches you the skills you'll need to secure your data pipelines end to end. About the Book Privacy Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You'll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you'll develop in the final chapter. What's Inside Differential and compressive privacy techniques Privacy for frequency or mean estimation, naive Bayes classifier, and deep learning Privacy-preserving synthetic data generation Enhanced privacy for data mining and database applications About the Reader For machine learning engineers and developers. Examples in Python and Java. About the Authors J. Morris Chang is a professor at the University of South Florida. His research projects have been funded by DARPA and the DoD. Di Zhuang is a security engineer at Snap Inc. G. Dumindu Samaraweera is an assistant research professor at the University of South Florida. The technical editor for this book, Wilko Henecka, is a senior software engineer at Ambiata where he builds privacy-preserving software. Quotes A detailed treatment of differential privacy, synthetic data generation, and privacy-preserving machine-learning techniques with relevant Python examples. Highly recommended! - Abe Taha, Google A wonderful synthesis of theoretical and practical. This book fills a real need. - Stephen Oates, Allianz The definitive source for creating privacy-respecting machine learning systems. This area in data-rich environments is so important to understand! - Mac Chambers, Roy Hobbs Diamond Enterprises Covers all aspects for data privacy, with good practical examples. - Vidhya Vinay, Streamingo Solutions.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 1, 2023)
    URL: lizenzpflichtig
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    Online Resource
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  • 6
    Online Resource
    Online Resource
    Grokking Simplicity (2021)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (12 hr., 7 min.)) , sound, color.
    Edition: [Video edition]
    DDC: 005.1/14
    Keywords: Functional programming (Computer science) ; Computer programming ; Programmation fonctionnelle ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast ; Webcast
    Abstract: In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. "Java, JavaScript, C++, Python, and so many others are not purely functional languages, but have adopted ideas from functional programming that make them much easier to use. These simple ideas can be used in any programming language. This book shows you how to do that. It's an easy read, filled with practical examples and sidebars that explain the technical terms. I was drawn in, really enjoyed it, and learned a couple of new ideas that I am eager to apply in my own code. I hope you enjoy it, too!" From the Foreword by Guy Steele "Functional programming does not transfer peacefully from academia to business software. We aren't starting from scratch. We depend on runtimes and libraries outside our control. Our software interacts with many other systems. It is a long way from FP-land to legacy business software. Eric has undertaken this journey for us. He delved into functional programming, found its most helpful essences, and brought them to us where we are." From the Foreword by Jessica Kerr Distributed across servers, difficult to test, and resistant to modification--modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they're easier to test and debug. about the technology Developers rightly fear the unintended complexity that infects most code. This book shows you how to write software that keeps complexity close to its inherent minimum. As you write software you should distinguish between code that alters your system's state, and code that does not. Once you learn to make that distinction, you can refactor much of your state-altering "actions" into stateless "calculations." Your software will be simpler. about the book The book also teaches you to solve the complex timing bugs that inevitably creep into asynchronous and multithreaded code. In advanced sections of the book you learn how composable abstractions help avoid repeating code and open up new levels of expressivity. what's inside Patterns for simpler code Powerful time modeling approaches to simplify asynchronous code How higher-order functions can make code reusable and composable about the audience For intermediate and advanced developers building complex software. Exercises, illustrations, self-assessments, and hands-on examples lock in each new idea. about the author Eric Normand is an expert software developer who has been an influential teacher of functional programming since 2007. This book is a must-read for taming complex software. One of the most engaging titles in years. Michael Aydinbas, EXXETAAG A great resource for learning functional thinking and the practical programming techniques derived from it. I can recommend to my colleagues with confidence. Joel Luukka, Geniem An indispensable guide to identifying and conquering complexity. Bryan Miller, Petrolitix NARRATED BY MARK THOMAS.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
    URL: lizenzpflichtig
    URL: lizenzpflichtig
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    Online Resource
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  • 7
    Online Resource
    Online Resource
    Troubleshooting Java (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 37 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.1/4
    Keywords: Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Effectively reading and understanding existing code is a developer's superpower. In this book, you'll master techniques for code profiling, advanced debugging, and log evaluation to find and fix bugs and performance problems. In Troubleshooting Java: Read, debug, and optimize JVM applications you will learn how to: Determine what code does the first time you see it Expose code logic problems Evaluate heap dumps to find memory leaks Monitor CPU consumption to optimize execution Use thread dumps to find and solve deadlocks Easily follow a service-oriented or microservices system Properly use logging to better understand Java app execution Use Java debuggers efficiently Searching for bugs, detangling messy legacy code, or evaluating your codebase for new features sucks up much of a developer's time. Troubleshooting Java: Read, debug, and optimize JVM applications teaches code investigation techniques that will help you efficiently understand how Java apps work, how to optimize them, and how to fix the bugs that break them. You'll go from the basics of debugging to advanced methods for locating problems in microservices architectures, and save yourself hours--or even days--of time. Each new technique is explained with lively illustrations and engaging real-world examples. About the Technology Fact: Over the course of your career, you'll spend far more time reading code than you will writing it. The code investigation skills in this book will radically improve your efficiency in understanding and improving Java applications. About the Book Troubleshooting Java: Read, debug, and optimize JVM applications presents practical techniques for exploring and repairing unfamiliar code. In it, you'll learn timesaving practices for discovering hidden dependencies, discovering the root causes of crashes, and interpreting unexpected results. Go beyond profiling and debugging and start understanding how Java applications really work. What's Inside Determine what code does the first time you see it Evaluate heap dumps to find memory leaks Monitor CPU consumption to optimize execution Use thread dumps to find and solve deadlocks Uncover glitches in code logic Locate intermittent runtime problems About the Reader For intermediate Java developers. About the Author Lauren€₎iu Spilc♯³ is a skilled Java and Spring developer and an experienced technology instructor. He is the author of Spring Start Here and Spring Security in Action. Quotes We spend more time trying to understand code than writing it. This book shows you how to use that time wisely. - Brent Honadel, Infor Finally a book that illustrates how to troubleshoot and reason about Java apps in production! It just might save the day! - Atul Shriniwas Khot, SquareOne Insights I wish I had this collection of efficient and usable techniques at the beginning of my career. - Andriy Stosyk, EPAM Systems A great book with deep explanations about debugging techniques. - C♯³t♯³lin Matei, Endava Understand how Java applications work under the hood. - Fernando Bernardino, Wise.
    Note: Narrator not identified. - Online resource; title from title details screen (O'Reilly, viewed August 7, 2023)
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    Functional programming in Scala (2023)
    [Place of publication not identified] : Manning
    Details
    Language: English
    Pages: 1 online resource (1 video file (13 hr., 24 min.)) , sound, color.
    Edition: Second edition.
    DDC: 005.1/14
    Keywords: Functional programming (Computer science) ; Scala (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This international bestseller has been revised with new exercises, annotations, and full coverage of Scala 3. In Functional Programming in Scala, Second Edition you will learn how to: Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors Write code that performs I/O without sacrificing functional programming Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. You'll soon see why reviewers have called it "mindblowing"! The book smooths the complexity curve of functional programming, making it simple to understand the basics and intuitive to progress to more advanced topics. Concrete examples and exercises show you FP in the real world and reveal how it can improve your everyday coding practices. This second edition comes packed with the latest standards of FP, as well as full code updates to Scala 3, and its new language features. About the Technology Functional code is easy to test, reuse, and parallelize, and it's practically immune to whole categories of state-related bugs. With its strong functional features, familiar syntax, and seamless interoperability with Java, there's no better place to start learning functional programming than the flexible Scala language. About the Book In Functional Programming in Scala, Second Edition you'll learn functional programming from first principles. Hands-on exercises and examples make it easy to start thinking and coding functionally. This revised edition contains extensive exercise annotations to help you explore FP in depth, along with steps to build your own functional libraries in Scala. Once the functional lightbulb goes on, you'll never look at coding the same way again. What's Inside Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors About the Reader For Java or Scala programmers. No knowledge of functional programming required. About the Authors Michael Pilquist is the lead maintainer of FS2, a functional streaming library, and contributes to the Typelevel ecosystem. Paul Chiusano and R©ðnar Bjarnason are recognized experts in functional programming and authors of the first edition of Functional Programming with Scala. Quotes Functional programming in Scala, both the technique and the book, have entrenched themselves firmly in the landscape of the language and ecosystem....This new edition is an effective companion for the community inventing tomorrow. - From the Foreword by Daniel Spiewak, Creator of Cats Effect Deepen your understanding of practical functional programming in Scala with this, the ultimate guide. - Bill Venners, Artima The first edition of FPiS was one of the turning points in my journey through the FP rabbit hole. It was eye-opening to be able to prove that one typeclass interface is equivalent to another. The book's second edition preserves the unique vision of FPiS: to guide readers via practical coding idioms towards a mathematically rigorous approach in FP. - Sergei Winitzki, Workday.
    Note: Reader not identified. - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
    URL: lizenzpflichtig
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    Online Resource
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  • 9
    Online Resource
    Online Resource
    Six small algorithm projects with Python (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Six Small Algorithm Projects with Python: Video Walkthrough Algorithms are the foundations of computer science. In this series of liveProjects, you'll watch as an expert uses specific algorithms to solve important programming problems. Six Small Algorithm Projects with Python is one of the most popular series on Manning's liveProject platform. Working though the series by hand takes weeks, but now there's a simpler way. In this series of videos, experienced data science lecturer Charles Rice guides you through the entire series, bringing you all the lessons in a fraction of the time. As you watch, you'll learn how to use recursion to draw complex shapes, search linked data structures, and layout and draw trees. You'll learn how to use network algorithms to find shortest paths and assign employees to jobs. As you master the projects in this series, you'll gain an understanding of a variety of algorithmic topics, data structures, and general programming techniques. Rod Stephens, series author Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects. Charles Rice, video presenter Charles Rice is a Senior Data Science Instructor with the Flatiron School. He has worked in data science education for nearly a decade, teaching machine learning and statistical analysis to hundreds of students in the United States and abroad. In industry, he has worked as a Research Engineer for BlockScience, a blockchain R&D consultancy, and consults on data science and engineering for several FinTech organizations. He is a CompTIA Subject Matter Expert for the forthcoming DataX certification exam. Before getting into code and machine learning, he worked as a journalist and corporate communications professional.
    Note: "Video walkthrough.". - Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Spring Boot in practice (2022)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 19 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.3
    Keywords: Spring Boot (Electronic resource) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Go beyond the basics with Spring Boot! This practical guide presents dozens of relevant scenarios in a convenient problem-solution-discussion format. In Spring Boot in Practice you will learn: Spring Boot's features from an expert's perspective Configuring, logging, and monitoring Spring Boot applications Effective methods for database communication Utilizing Spring Security and securing your Spring application in production Designing and developing microservices and RESTful APIs with Spring Boot Microservice versioning, documentation, and security Reactive application development and reactive data access with WebSocket and RSocket Deploying Spring Boot applications on Kubernetes and major cloud platforms Implementing containerization in a Spring Boot application Using Spring Boot with Kotlin and GraalVM Spring Boot in Practice is full of practical recipes for common development problems in Spring Boot. Author Somnath Musib has spent years building applications with Spring, and he shares that extensive experience in this focused guide. You'll master techniques for using Spring Data, Spring Security, and other Spring-centric solutions. Learn how to work with Spring Boot and Kotlin, handling connections for multiple platforms, and how Spring Boot can simplify building microservices and APIs. Each recipe is built around a real-world problem, complete with a full solution and thoughtful discussion. About the Technology With Spring Boot, it's a snap to create standalone Spring applications that require minimal manual setup. Spring Boot directly embeds a server like Tomcat or Jetty into your project and preconfigures core Spring settings, third-party libraries, security, and other key elements. It's a big framework, with lots of powerful features. This book provides a rich collection of techniques to help you get the most out of Spring Boot. About the Book Spring Boot in Practice is a cookbook-style guide to Spring application development. Following a convenient Problem-Solution-Discussion format, it takes you technique-by-technique through Spring Boot fundamentals. You'll dive deep into auto-configuration, security, microservices, and more. Along the way, you'll also discover numerous advanced and hidden features. All the book's source code is open source, so you can integrate the detailed samples into your own projects. What's Inside Instantly useful techniques with reusable source code Configuring, logging, and monitoring Spring Boot applications Effective methods for database communication Securing Spring applications in production Microservices and RESTful APIs About the Reader For Spring Boot beginners with some Spring experience. About the Author Somnath Musib has over a decade of development experience, and has been actively working with Spring Boot since 2015. Quotes Your reliable guide to Spring...Somnath Musib does a great job, and his expert guidance makes it easy to focus on the journey that matters: the journey to production. - Josh Long, Spring Developer Advocate, Tanzu, a division of VMWare A-Z guide for Spring Boot. - Najeeb Arif, Thoughtworks Hands-on recipes and best practices that help you build applications faster. - João Miguel Pires Dias, Mercedes-Benz.io Invaluable for creating robust API frameworks rapidly and leveraging microservice best practices. - Lachman Dhalliwal, Netcompany.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
    URL: lizenzpflichtig
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