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  • [Erscheinungsort nicht ermittelbar] : Manning Publications  (304)
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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: An outstanding source of knowledge for Terraform enthusiasts of all levels. Anton Babenko, Betajob Use Terraform to programmatically create, test, and manage infrastructure using the efficient infrastructure-as-code approach. In Terraform in Action you will learn: Cloud architecture with Terraform Terraform module sharing and the private module registry Terraform security in a multitenant environment Strategies for performing blue/green deployments Refactoring for code maintenance and reusability Running Terraform at scale Creating your own Terraform provider Using Terraform as a continuous development/continuous delivery platform Terraform in Action introduces the infrastructure-as-code (IaC) model that lets you instantaneously create new components and respond efficiently to changes in demand. You’ll use the Terraform automation tool to design and manage servers that can be provisioned, shared, changed, tested, and deployed with a single command. about the technology Provision, deploy, scale, and clone your entire stack to the cloud at the touch of a button. In Terraform, you create a collection of simple declarative scripts that define and manage application infrastructure. This powerful infrastructure-as-code approach automates key tasks like versioning and testing for everything from low-level networking to cloud services. about the book Terraform in Action shows you how to automate and scale infrastructure programmatically using the Terraform toolkit. Using practical, relevant examples, you’ll use Terraform to provision a Kubernetes cluster, deploy a multiplayer game, and configure other hands-on projects. As you progress to advanced techniques like zero-downtime deployments, you’ll discover how to think in Terraform rather than just copying and pasting scripts. what's inside Cloud architecture with Terraform Terraform module sharing and the private module registry Terraform security in a multitenant environment Strategies for performing blue/green deployments about the audience For readers experienced with a major cloud platform such as AWS. Examples in JavaScript and Golang. about the author Scott Winkler is a DevOps engineer and a distinguished Terraform expert. He has spoken multiple times at HashiTalks and HashiConf, and was selected as a HashiCorp Ambassador and Core Contributor in 2020. A must for anyone who wants to understand Terraform. Jürgen Hötzel, Lisperati Takes you by the hand and explains how to use Terrafo...
    Note: Online resource; Title from title screen (viewed May 28, 2021) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Jean-Georges showcases how to use JHU data to predict new Covid-19 cases using Apache Spark. He's the author of Spark in Action, Second Edition.
    Note: Online resource; Title from title screen (viewed September 29, 2020) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Ashley demonstrates how to upgrade your infrastructure through code using Terraform. He's the author of "Bootstrapping Microservices with Docker, Kubernetes, and Terraform".
    Note: Online resource; Title from title screen (viewed October 14, 2020) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (22961 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: Comprehensive and in-depth coverage of the future of AI. Simeon Leyzerzon, Excelsior Software GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks. about the technology Generative Adversarial Networks, GANs, are an incredible AI technology capable of creating images, sound, and videos that are indistinguishable from the "real thing." By pitting two neural networks against each other—one to generate fakes and one to spot them—GANs rapidly learn to produce photo-realistic faces and other media objects. With the potential to produce stunningly realistic animations or shocking deepfakes, GANs are a huge step forward in deep learning systems. about the book GANs in Action teaches you to build and train your own Generative Adversarial Networks. You'll start by creating simple generator and discriminator networks that are the foundation of GAN architecture. Then, following numerous hands-on examples, you'll train GANs to generate high-resolution images, image-to-image translation, and targeted data generation. Along the way, you'll find pro tips for making your system smart, effective, and fast. what's inside Building your first GAN Handling the progressive growing of GANs Practical applications of GANs Troubleshooting your system about the audience For data professionals with intermediate Python skills, and the basics of deep learning–based image processing. about the author Jakub Langr is a Computer Vision Cofounder at Founders Factory (YEPIC.AI). Vladimir Bok is a Senior Product Manager overseeing machine learning infrastructure and research teams at a New York–based startup. An incredibly useful mix of practical and academic information. Dana Robinson, The HDF Group A great systematization of the rapidly evolving and vast GAN landscape. Grigory V. Sapunov, Intento Excellent writing combined with easy-to-grasp mathematical explanations. Bachir Chihani, C3 Strikes that rare balance between an applied programming book, an academic book heavy on theory, and a conversational blog post on machine learning techniques. Dr. Erik Sapper, California Polytechnic State University NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title page (viewed September 9, 2019) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Deep dive into understanding automatic differentiation used by PyTorch autograd for deep learning with the help of Carl Osipov, who has spent over 15 years working on big data processing and machine learning in multi-core, distributed systems, such as service-oriented architecture and cloud computing platforms.
    Note: Online resource; Title from title screen (viewed July 15, 2020) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Prabhu explains why and how should you use Rust for web development. He's the author of "Rust Servers, Services, and Apps".
    Note: Online resource; Title from title screen (viewed February 28, 2021) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    ISBN: 9781617295645
    Language: English
    Pages: 1 online resource (496 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you’ll master the architectures and design practices of graphs, and avoid common pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks.
    Note: Online resource; Title from title page (viewed September 13, 2021) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (37335 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: This well-written book will help you make the most of what Rust has to offer. Ramnivas Laddad, author of AspectJ in Action Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques. You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code. You'll also discover parallel and concurrent programming. Filled to the brim with real-life use cases and scenarios, you'll go beyond the Rust syntax and see what Rust has to offer in real-world use cases. about the technology Rust is the perfect language for systems programming. It delivers the low-level power of C along with rock-solid safety features that let you code fearlessly. Ideal for applications requiring concurrency, Rust programs are compact, readable, and blazingly fast. Best of all, Rust’s famously smart compiler helps you avoid even subtle coding errors. about the book Rust in Action is a hands-on guide to systems programming with Rust. Written for inquisitive programmers, it presents real-world use cases that go far beyond syntax and structure. You’ll explore Rust implementations for file manipulation, networking, and kernel-level programming and discover awesome techniques for parallelism and concurrency. Along the way, you’ll master Rust’s unique borrow checker model for memory management without a garbage collector. what's inside Elementary to advanced Rust programming Practical examples from systems programming Command-line, graphical and networked applications about the audience For intermediate programmers. No previous experience with Rust required. about the author Tim McNamara uses Rust to build data processing pipelines and generative art. He is an expert in natural language processing and data engineering. Engaging writing style and crisp, easy-to-grasp examples help the reader get off the ground in no time. Sumant Tambe, Linkedin Rust in Action is remarkably polished! Christopher Haupt, Swoogo Makes it easy to explore the language and get going with it. Federico Hernandez, Meltwater I highly recommend this book to those who want to learn Rust. Afshin Mehrabani, Etsy NARRATED BY DEREK DYSART
    Note: Online resource; Title from title page (viewed June 24, 2021) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (37865 pages)
    Edition: 1st edition
    Keywords: Audiobooks
    Abstract: This book took me from someone interested in Docker to someone using it effectively in several projects. Mark Elston, Advantest America Go from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems. In it, you’ll learn practical Docker skills to help you tackle the challenges of modern IT, from cloud migration and microservices to handling legacy systems. There’s no excessive theory or niche-use cases—just a quick-and-easy guide to the essentials of Docker you’ll use every day. about the technology The idea behind Docker is simple: package applica­tions in lightweight virtual containers that can be easily installed. The results of this simple idea are huge! Docker makes it possible to manage applications without creating custom infrastructures. Free, open source, and battle-tested, Docker has quickly become must-know technology for developers and administrators. about the book Learn Docker in a Month of Lunches introduces Docker concepts through a series of brief hands-on lessons. Following a learning path perfected by author Elton Stoneman, you’ll run containers by chapter 2 and package applications by chapter 3. Each lesson teaches a practical skill you can practice on Windows, macOS, and Linux systems. By the end of the month you’ll know how to containerize and run any kind of application with Docker. what's inside Package applications to run in containers Put containers into production Build optimized Docker images Run containerized apps at scale about the audience For IT professionals. No previous Docker experience required. about the author Elton Stoneman is a consultant, a former architect at Docker, a Microsoft MVP, and a Pluralsight author. A well-written and cogent approach to learning and implementing containerized applications with Docker. Philip Taffet, SOHOsoft This is a must-have resource for anyone wanting to come to grips with Docker—from novice to expert, there’s something for everyone. Kevin Orr, Sumus Solutions I recommend anyone serious about learning Docker begin with this book. Marcus Brown, Tradewind Energy NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title page (viewed June 13, 2020) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: How to to solve constraint-satisfaction problems with Python. From the author of Classic Computer Science Problems in Python, Classic Computer Science Problems in Swift, and Classic Computer Science Problems in Java.
    Note: Online resource; Title from title screen (viewed April 9, 2020) , Mode of access: World Wide Web.
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