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  • MPI Ethno. Forsch.  (24)
  • Online Resource  (24)
  • [Place of publication not identified] : Manning Publications  (24)
  • Audiobooks  (24)
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  • MPI Ethno. Forsch.  (24)
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  • Online Resource  (24)
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  • 1
    Online Resource
    Online Resource
    Distributed machine learning patterns (2024)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (6 hr., 15 min.))
    Edition: [First edition].
    DDC: 006.30285/436
    Keywords: Kubernetes ; Electronic data processing Distributed processing ; Machine learning ; Traitement réparti ; Apprentissage automatique ; Audiobooks ; Livres audio
    Abstract: Practical patterns for scaling machine learning from your laptop to a distributed cluster. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. This book reveals best practice techniques and insider tips for tackling the challenges of scaling machine learning systems. In Distributed Machine Learning Patterns you will learn how to: Apply distributed systems patterns to build scalable and reliable machine learning projects Build ML pipelines with data ingestion, distributed training, model serving, and more Automate ML tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows Make trade-offs between different patterns and approaches Manage and monitor machine learning workloads at scale Inside Distributed Machine Learning Patterns you'll learn to apply established distributed systems patterns to machine learning projects--plus explore cutting-edge new patterns created specifically for machine learning. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Hands-on projects and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. About the Technology Deploying a machine learning application on a modern distributed system puts the spotlight on reliability, performance, security, and other operational concerns. In this in-depth guide, Yuan Tang, project lead of Argo and Kubeflow, shares patterns, examples, and hard-won insights on taking an ML model from a single device to a distributed cluster. About the Book Distributed Machine Learning Patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you'll learn patterns for distributed model training, managing unexpected failures, and dynamic model serving. You'll appreciate the practical examples that accompany each pattern along with a full-scale project that implements distributed model training and inference with autoscaling on Kubernetes. What's Inside Data ingestion, distributed training, model serving, and more Automating Kubernetes and TensorFlow with Kubeflow and Argo Workflows Manage and monitor workloads at scale About the Reader For data analysts and engineers familiar with the basics of machine learning, Bash, Python, and Docker. About the Author Yuan Tang is a project lead of Argo and Kubeflow, maintainer of TensorFlow and XGBoost, and author of numerous open source projects. Quotes Approachable for beginners and inspirational for experienced practitioners. As soon as I finished reading, I was ready to start building. - James Lamb, SpotHero Exceptionally timely and comprehensive. Its pattern perspective, accompanied by real-world examples and widely adopted systems like Kubernetes, Kubeflow, and Argo, truly set it apart. - Yuan Chen, Apple An amazing guide to designing resilient and scalable ML systems for both training and serving models. - Ryan Russon, Capital One A wonderful book! Machine learning at scale explained clearly and from first principles! - Laurence Moroney, Google.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Platform engineering on Kubernetes (2024)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file)
    DDC: 005.3
    Keywords: Kubernetes ; Application software Development ; Open source software ; Cloud computing ; Logiciels d'application ; Développement ; Logiciels libres ; Infonuagique ; Audiobooks ; Livres audio
    Abstract: Empower your team with platforms built on top of Kubernetes using open source tools. Adopting Kubernetes is complex--especially when you're working in an organization with multiple teams, deploying to multiple cloud providers, and working with different stacks. Platform Engineering on Kubernetes shows you how to solve these common cloud native problems with open-source tools and emerging best practices from the Kubernetes community. In Platform Engineering on Kubernetes you will learn about: The principles behind platform engineering and how these apply to Kubernetes Evaluating and adopting open-source projects to build domain specific platforms Creating Platform APIs to enable teams to release more software more efficiently Reducing the cognitive load of a platform for your teams Measuring your platform initiatives using established software delivery metrics Package, version, distribute, and deploy with Helm, Tekton, Dagger and Argo CD Implement a multi-cloud infrastructure strategy using Crossplane Progressive upgrades with Knative Serving and Argo Rollouts Enable development teams with standard application-level APIs with Dapr A platform helps your team stay focused on delivering amazing software. But building a reliable platform on top of Kubernetes demands real expertise. Platform Engineering on Kubernetes reveals how to combine multiple popular open-source projects into a custom platform that works for your applications and your teams. It's the perfect guide for your organization's journey to Kubernetes, simplifying cloud native development for your dev teams and helping them deliver software faster. About the Technology Kubernetes is an amazing orchestration tool, but it's just the start of your journey to the cloud. To efficiently deliver cloud-native software, your team needs a solid build pipeline, an efficient package manager and distribution mechanism, and APIs that reduce your team's cognitive load. This book will show you how to build custom platforms on top of Kubernetes--all with open-source tools such as Dapr, Knative, Argo CD and Rollouts, and Tekton. About the Book Platform Engineering on Kubernetes starts by clearly defining the elements of a great Kubernetes-based platform. Then, it systematically introduces the tools you'll need to build a platform that exactly matches your organization's requirements. Hands-on examples and detailed code guide you through each step. By the end, you'll be able to create a complete platform to efficiently deliver cloud-native software without being tied to a specific cloud provider or vendor. What's Inside Package, version, distribute, and deploy with Helm, Tekton, Dagger and Argo CD Implement a multi-cloud infrastructure strategy using Crossplane Progressive upgrades with Knative Serving and Argo Rollouts Enable development teams with standard application-level APIs with Dapr About the Reader For developers and software architects familiar with the basics of containers and Kubernetes. About the Author Mauricio Salatino is currently a Dapr OSS Contributor, a Knative Steering Committee member, and co-lead of the Knative Functions working group. Quotes An engaging and captivating hands-on exploration of the CNCF landscape through the prism of platform engineering. - Viktor Farcic, Upbound/DevOpsToolkit The book is a reflection of a mountain of personal experience and the author's own journey on the windy paths of cloud native. - Andreas Grabner, Dynatrace Brims with Mauricio's unique experience, insights, and deep understanding. - Thomas Vitale, Systematic For anyone looking to build a modern, cloud native development platform on Kubernetes. An indispensable guide. - Lance Ball, Red Hat A comprehensive exploration of platform engineering. - Carlos Santana, AWS.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Learn concurrent programming with Go (2024)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (8 hr., 19 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Go (Computer program language) ; Computer programming ; Computer multitasking ; Go (Langage de programmation) ; Programmation (Informatique) ; Fonctionnement multitâche ; computer programming ; Audiobooks ; Livres audio
    Abstract: Concurrency doesn't need to be confusing. Start writing concurrent code that improves performance, scales up to handle large volumes of data, and takes full advantage of modern multi-processor hardware. Too many developers think concurrency is extremely challenging. Learn Concurrent Programming with Go is here to prove them wrong! This book uses the easy-to-grasp concurrency tools of the Go language to demonstrate principles and techniques, steadily teaching you the best practices of effective concurrency. Techniques learned in this book can be applied to other languages. In Learn Concurrent Programming with Go you will learn how to: Implement effective concurrency for more responsive, higher performing, scalable software Avoid common concurrency problems such as deadlocks and race conditions Manage concurrency using goroutines, mutexes, readers-writer locks, and more Identify concurrency patterns such as pipelining, worker pools, and message passing Discover advantages, limits, and properties of parallel computing Improve your Go coding skills with advanced multithreading topics Concurrent programming allows multiple tasks to execute and interact simultaneously, speeding up performance and reducing user wait time. In Learn Concurrent Programming with Go, you'll discover universal principles of concurrency, along with how to use them for a performance boost in your Go applications. Expert author James Cutajar starts with the basics of modeling concurrency in your programs, demonstrates differences between message passing and memory sharing, and even introduces advanced topics such as atomic variables and futexes. About the Technology You can improve almost any application's performance and responsiveness by introducing concurrency into the codebase. This book will show you how! It starts with the basics of concurrent programming and builds your skills step by step by exploring scenarios you'll face every day as a developer. Author James Cutajar explains each aspect of concurrency in plain language using the intuitive features baked into the Go language. About the Book Learn Concurrent Programming with Go provides a practical, hands-on introduction to creating software for modern multiprocessor systems. In it, you'll learn how to divide larger programming tasks into independent parts that can run simultaneously. You'll use the Go language to implement common concurrency patterns by utilizing readers-writer locks, semaphores, message passing, and memory sharing. The skills you learn will easily transfer to other languages. What's Inside Prevent deadlocks and race conditions Go concurrency features like goroutines, mutexes, channels, and more Concurrency patterns including pipelining and worker pools About the Reader For programmers with basic knowledge of Go or another C-style language. No experience in concurrent programming required. About the Author James Cutajar has been programming for more than 20 years. He's an open source contributor, blogger, tech evangelist, Udemy instructor, and author. Quotes Concurrency is a notoriously difficult, but important, topic. This book will make it all clear! - Allen B. Downey, author of The Little Book of Semaphores, Think Python, and Probably Overthinking It This is the book I was looking for. It explains the necessary building blocks with easy-to-understand examples. Excellent! - Arne Claus, trivago Uncover the beauty of concurrency, where logic dances with elegance. - Jasmeet Singh, Hashicorp A powerhouse of a book! It lays the foundation for understanding concurrency in any language. - Nathan B. Crocker, Galaxy Digital LP.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    A Pythonic adventure : from Python basics to a working web app (2024)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (5 hr., 7 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) Juvenile literature ; Computer programming Juvenile literature ; Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Ouvrages pour la jeunesse ; Programmation (Informatique) ; Ouvrages pour la jeunesse ; Audiobooks ; Livres audio
    Abstract: Time to take an adventure with friends! Team up with Erik and Simon to learn Python the easy way. This colorful book uses engaging questions and lively conversations to introduce computer programming to young readers one step at a time. In A Pythonic Adventure, you will learn useful Python skills like: Installing Python Working with files Creating text-based dialogs and menus Using if/then, loops, lists, dictionaries, and input/output Building web applications Making your web apps look super professional It's fun to learn with friends! In A Pythonic Adventure you'll meet Erik and Simon, two brothers who are just beginning their Python journey. Join them as they chat about the language, learn the basics, and build some cool programs. The book's dialogue helps young programmers understand complex concepts much more easily. It's the perfect way for young programmers (and their parents) to get started. There's no boring lessons or dull exercises in this adventure. You'll follow Erik and Simon's questions and mistakes, discover how to write programs with a team, and get a chance to create applications you can use in your daily life. By the time they're done reading, young learners will not only know how to write code, they'll know how to think about problems like professional developers. All code in this book runs on Mac, Windows, Linux, and Raspberry Pi. About the Technology Computer programming is an adventure, full of new experiences, challenges, triumphs, and mistakes. In A Pythonic Adventure, you'll join brothers Erik and Simon as they learn to create their first Python program. Written especially for young readers, this book is the perfect introduction to a skill that will last a lifetime! About the Book A Pythonic Adventure teaches you to code by asking questions, making errors, and trying out different solutions--just like in real life. As you go, you'll create a web application for a coffee shop step-by-step, from your first online menu to saving orders in a database. And this unique tutorial goes deeper than other beginner books. You'll learn and practice important skills like planning applications, finding bugs, and managing user expectations. What's Inside Installing Python Creating text-based dialogs and menus Building web applications Making your web apps look professional About the Reader For readers aged 10+. Perfect for adult beginners, too! About the Author Pavel Anni is a Principal Customer Engineer at SambaNova Systems, and has also worked for Sun Microsystems, Oracle, and Red Hat. Quotes Pavel's conversational writing style is engaging and entertaining. If Plato wrote a programming book, he'd have written it like this one! - Nicholas Tollervey, Anaconda A great way to build your first application. Th e final web app is impressive! - Andrew R. Freed, IBM This book was perfect for sparking my son into coding with Python--now I can't stop him! - Ben McNamara, DataGeek This book awakened my daughters' interest in programming. They will be part of the future. - Walter Alexander Mata L©đpez, University of Colima.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Grokking concurrency (2024)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (6 hr., 33 min.))
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer multitasking ; Fonctionnement multitâche ; Audiobooks ; Livres audio
    Abstract: This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language. Perplexed by concurrency? Don't be. This engaging, fully-illustrated beginner's guide gets you writing the kind of high-performance code your apps deserve. Inside, you'll find thorough explanations of concurrency's core concepts--all explained with interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. In Grokking Concurrency you will: Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming Learn the strengths and weaknesses of different hardware architectures Improve the sequential performance characteristics of your software Solve common problems for concurrent programming Compose patterns into a series of practices for writing scalable systems Write and implement concurrency systems that scale to any size Discover effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you're building web apps, IoT systems, or handling big data. About the Technology Concurrency is an approach to running computer programs efficiently by separating them into tasks that can execute independently. This basic idea makes it possible to accelerate game graphics, train large AI models, rapidly scale web applications, streamline big data processing, and much more. Concurrency can get complicated, so this book gets you started gently with interesting examples, entertaining illustrations, and easy-to-follow Python code. About the Book Grokking Concurrency is a perfectly paced introduction to the fundamentals of concurrent, parallel, and asynchronous programming. In it, you'll learn the practices you'll need to program multicore processors, GPUs, and other high-performance systems. Author Kirill Bobrov skips the math, jargon, and academic language and concentrates on clear, plain-English explanations. What's Inside Writing and running concurrent programs Patterns for performance, scalability, and resilience Choosing the right hardware Asynchronous communication About the Reader Examples in Python. No prior experience with concurrency or high-performance computing required. About the Author Kirill Bobrov is a software engineer with a passion for data engineering. Quotes I recommend Grokking Concurrency as a gentle introduction to creating programs that perform on today's highly parallel architectures. - Robert Robey, Los Alamos National Laboratory This book combines computer architecture, operating systems, distributed computing, analysis, algorithms, and design. Anyone building a concurrent application should read this book first. - David Beazley, Author of Python Cookbook and Python Distilled A comprehensive, accessible, and practical overview of concurrent programming. It clarifies concepts like parallelism, race conditions, deadlocks, and more. - Arnaud Bailly, IOG.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Cloud observability in action (2024)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (7 hr., 50 min.))
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing ; Observers (Control theory) ; Infonuagique ; Observabilité (Théorie de la commande) ; Audiobooks ; Livres audio
    Abstract: Don't fly blind. Observability gives you actionable insights into your cloud native systems--from pinpointing errors, to increasing developer productivity, to tracking compliance. Observability is the difference between an error message and an error explanation with a recipe how to resolve the error! You know exactly which service is affected, who's responsible for its repair, and even how it can be optimized in the future. Cloud Observability in Action teaches you how to set up an observability system that learns from a cloud application's signals, logging, and monitoring, all using free and open source tools. In Cloud Observability in Action you will learn how to: Apply observability in cloud native systems Understand observability signals, including their costs and benefits Apply good practices around instrumentation and signal collection Deliver dashboarding, alerting, and SLOs/SLIs at scale Choose the correct signal types for given roles or tasks Pick the right observability tool for any given function Communicate the benefits of observability to management A well-designed observability system provides insight into bugs and performance issues in cloud native applications. They help your development team understand the impact of code changes, measure optimizations, and track user experience. Best of all, observability can even automate your error handling so that machine users apply their own fixes--no more 3AM calls for emergency outages. About the Technology Cloud native systems are made up of hundreds of moving parts. When something goes wrong, it's not enough to know there is a problem--you need to know where it is, what it is, and how to fix it. This book takes you beyond traditional monitoring, explaining observability systems that turn application telemetry into actionable insights. About the Book Cloud Observability in Action gives you the background and techniques you need to successfully introduce observability into cloud-based serverless and Kubernetes environments. In it, you'll learn to use open standards and tools like OpenTelemetry, Prometheus, and Grafana to build your own observability system and end reliance on proprietary software. You'll discover insights from different telemetry signals, including logs, metrics, traces, and profiles. Plus, the book's rigorous cost-benefit analysis ensures you're getting a real return on your observability investment. What's Inside Observability in and of cloud native systems Dashboarding, alerting, and SLOs/SLIs at scale Signal types for any role or task State-of-the-art open source observability tools About the Reader For application developers, platform owners, DevOps, and SREs. About the Author Michael Hausenblas is a Product Owner in the AWS Open Source Observability team. Quotes Incredible! This book gets you up to speed, and sets you up for the future. I was especially impressed with the depth and detail for continuous profiling, whose impact is only starting to be understood. - Frederic Branczyk, Polar Signals Pairs a wealth of knowledge on cloud native environments with best practices and insights into observability. A must-read for cloud engineers. - Daniel Gomez Blanco, Author of Practical OpenTelemetry Take the right steps to protect your precious infrastructure from those pesky outages and incidents. - Kit Merker, Nobl9 Does a fantastic job distilling the key concepts for cloud observability. An important guide for practitioners. - Ken Finnigan, Lumigo.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Java persistence with Spring Data and Hibernate (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (13 hr., 30 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Hibernate (Electronic resource) ; Object-oriented programming (Computer science) ; Java (Computer program language) ; Computer software Development ; Audiobooks
    Abstract: Master Java persistence using the industry-leading tools Spring Data and Hibernate. In Java Persistence with Spring Data and Hibernate you will learn: Mapping persistent classes, value types, and inheritance Mapping collections and entity associations Processing transactions with Spring Data and Hibernate Creating fetch plans, strategies, and profiles Filtering data Building Spring Data REST projects Using Java persistence with non-relational databases Querying JPA with QueryDSL Testing Java persistence applications Java Persistence with Spring Data and Hibernate teaches you the ins-and-outs of Java persistence with hands-on examples using Spring Data, JPA, and Hibernate. The book carefully analyzes the capabilities of the major Java persistence tools, and guides you through the most common use cases. By comparing and contrasting the alternatives, you'll find it easy to choose the right tool choice for your applications. You'll learn how to make and utilize mapping strategies, about the different approach to transactions for both Hibernate and Spring Data, and even how to efficiently test Java persistence applications. The practical techniques are demonstrated with both relational and non-relational databases. About the Technology Effectively managing application data is essential for any serious application. Spring Data and Hibernate bridge the gap between object-oriented code and relational data stores, radically simplifying Java persistence. By implementing the Java Persistence API (JPA) standard, these powerful tools help you avoid common bugs related to state and application data storage. About the Book Java Persistence with Spring Data and Hibernate explores Java persistence using industry-standard tools. Hands-on examples introduce object-relational mapping and guide you through different mapping strategies to suit your needs. Covering transactions, persistent application testing, and non-relational databases, this book is your go-to resource for managing data in Java applications. What's Inside Mapping persistent classes, value types, and inheritance Creating fetch plans, strategies, and profiles Building Spring Data REST projects Querying JPA with QueryDSL About the Reader For intermediate Java programmers. About the Author C♯³t♯³lin Tudose has more than 20 years of experience in the Java community. Christian Bauer, Gavin King, and Gary Gregory are the authors of Java Persistence with Hibernate, Second Edition, on which this book is based. Quotes Everything you need to work effectively with Hibernate and Spring Data. A must-read for all Java developers! - From the Foreword by Dmitry Aleksandrov, Oracle Software Developer and Java Champion It is an honor to recommend this book. I hope that it will assist you in producing performant, secure, testable software that others may rely on with confidence. - From the Foreword by Mohamed Taman, Chief Solutions Architect at Nortal and Java Champion A pedagogical gem. Engaging and pragmatic. It's like holding a conversation with a Hibernate expert. - Nathan B Crocker, Galaxy Digita.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 25, 2023)
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Julia as a second language (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (8 hr., 34 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Julia (Computer program language) ; Programming languages (Electronic computers) ; Computer programming ; Julia (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Audiobooks ; Livres audio
    Abstract: Learn the awesome Julia programming language by building fun projects like a rocket launcher, a password keeper, and a battle simulator. Julia as a Second Language covers: Data types like numbers, strings, arrays, and dictionaries Immediate feedback with Julia's read-evaluate-print-loop (REPL) Simplify code interactions with multiple dispatch Sharing code using modules and packages Object-oriented and functional programming styles Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. You'll learn by coding engaging hands-on projects that encourage you to apply what you're learning immediately. Don't be put off by Julia's reputation as a scientific programming language--there's no data science or numerical computing knowledge required. You can get started with what you learned in high school math classes. About the Technology Originally designed for high-performance data science, Julia has become an awesome general purpose programming language. It offers developer-friendly features like garbage collection, dynamic typing, and a flexible approach to concurrency and distributed computing. It is the perfect mix of simplicity, flexibility and performance. About the Book Julia as a Second Language introduces Julia by building on your existing programming knowledge. You'll see Julia in action as you create a series of interesting projects that guide you from Julia's basic syntax through its advanced features. Master types and data structures as you model a rocket launch. Use dictionaries to interpret Roman numerals. Use Julia's unique multiple dispatch feature to send knights and archers into a simulated battle. Along the way, you'll even compare the object-oriented and functional programming styles-Julia supports both! What's Inside Data types like numbers, strings, arrays, and dictionaries Immediate feedback with Julia's read-evaluate-print-loop (REPL) Simplify code interactions with multiple dispatch Share code using modules and packages About the Reader For readers comfortable with another programming language like Python, JavaScript, or C#. About the Author Erik Engheim is a writer, conference speaker, video course author, and software developer. Quotes Helped kickstart my use of Julia for serious projects. It's a solid review of the core language features that doesn't get bogged down on programming fundamentals you already know. - Jonathan Owens, GE Global Research Everything you need to learn Julia. - Amanda Debler, Schaeffler Technologies Julia for seasoned programmers. - Kevin Cheung, Carleton University Perfect for anyone who needs to learn Julia but doesn't know where to start. - Simone Sguazza, University of Applied Sciences and Arts of Southern Switzerland.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 17, 2024)
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  • 9
    Online Resource
    Online Resource
    Managing machine learning projects : from design to deployment (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (10 hr., 13 min.))
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Apprentissage automatique ; Audiobooks ; Livres audio
    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 January 17, 2024)
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    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    BDD in action (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (13 hr., 21 min.))
    Edition: Second edition.
    DDC: 005.1/17
    Keywords: Computer software Development ; Software engineering ; Object-oriented methods (Computer science) ; Agile software development ; Computer architecture ; Génie logiciel ; Conception orientée objet (Informatique) ; Méthodes agiles (Développement de logiciels) ; Ordinateurs ; Architecture ; Audiobooks ; Livres audio
    Abstract: Deliver software that does what it's supposed to do! Behavior-Driven Development guides your software projects to success with collaboration, communication techniques, and concrete requirements you can turn into automated tests. In BDD in Action, Second Edition you'll learn how to: Implement and improve BDD practices Prioritize features from business goals Facilitate an example mapping session Write automated acceptance tests Scale up your automated acceptance tests Deliver accurate reporting and documentation Around half of all software projects fail to deliver on requirements. Behavior-Driven Development (BDD) helps make sure that yours isn't one of them. Behavior-Driven Development in Action, Second Edition teaches you how to ensure that everyone involved in a software project--from developers to non-technical stakeholders--are in agreement on goals and objectives. It lays out the communication skills, collaborative practices, and useful automation tools that will let you seamlessly succeed with BDD. Now in its second edition, this revised bestseller has been extensively updated with new techniques for incorporating BDD into large-scale and enterprise development practices such as Agile and DevOps. About the Technology Behavior-Driven Development is a collaborative software design technique that organizes examples of an application's desired behavior into a concrete, testable specification. Because the BDD process gathers input from all areas of an organization, it maximizes the likelihood your software will satisfy both end users and business stakeholders. The established collaboration practices and automation strategies in this book will help you maximize the benefits of BDD for your dev team and your business clients. About the Book In BDD in Action, Second Edition, you'll learn to seamlessly integrate BDD into your existing development process. This thoroughly revised new edition now shows how to integrate BDD with DevOps and large-scale Agile systems. Practical examples introduce cross-functional team communication skills, leading a successful requirements analysis, and how to set up automated acceptance criteria. What's Inside How BDD positively affects teamwork, dynamics, and collaboration with stakeholders Help teams discover and analyze requirements, uncover assumptions, and reduce risks Make acceptance, integration, and unit testing more effective Automate reporting and living documentation to improve transparency About the Reader For all development teams. No experience with BDD required. Examples in Java, JavaScript, and TypeScript can be easily expressed in your chosen language. About the Author John Ferguson Smart is the creator of the Serenity BDD framework and founder of the Serenity Dojo training school. Jan Molak is the author of the Serenity/JS testing framework, Jenkins Build Monitor, and other CD and testing tools. Quotes John and Jan describe valuable techniques with their customary clarity and detail. I found myself nodding along, as well as having a couple of 'Aha!' moments myself. I am delighted that BDD still has this much traction and interest nearly 20 years on, and I am grateful to John and Jan for producing this new edition of such a comprehensive resource. - From the Foreword by Daniel Terhorst-North, practitioner consultant If understanding how your own software should work is ever a hard question, you should read this book. - Kevin Liao, Sotheby's An approachable and accessible introduction. I recommend it to developers who want to quickly adopt BDD for their projects. - Lorenzo De Leon, West Monroe Partners.
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  • 11
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    Online Resource
    .NET MAUI in action (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (11 hr., 13 min.))
    Edition: [First edition].
    DDC: 005.2/76
    Keywords: Microsoft .NET Framework ; Application software Development ; Mobile apps Programming ; Logiciels d'application ; Développement ; Applications mobiles ; Programmation ; Audiobooks ; Livres audio
    Abstract: Build cross-platform apps with .NET MAUI! This exciting new technology helps you create mobile and desktop apps using a common set of .NET tools. In .NET MAUI in Action you will learn how to: Set up your environment for cross-platform development Write an interactive UI in XAML using out-of-the-box controls Apply the MVVM pattern to build maintainable code Extend your control library with custom controls Structure your app using common navigation paradigms Use common device features like GPS Use DevOps tools to automate deployment and testing .NET MAUI in Action shows you how you can use the cutting-edge MAUI framework to write apps that will run on Windows, Android, macOS, and iOS platforms using your existing .NET development skills. This book reveals essential MAUI development techniques through hands-on example applications in every chapter. You'll learn cross-platform development quickly as you start building your own rich apps, from to-do list apps, to a movie recommender app, and eventually a full-stack solution using enterprise architecture patterns. You'll also learn how to use GitHub Actions to deploy robust, testable, and maintainable apps; and how to deliver a consistent look and feel across platforms. Throughout, you'll use the built-in controls of .NET MAUI and learn how to develop your own custom solutions. About the Technology Write your app once and deploy it on mobile, desktop, web, and cloud with .NET MAUI. This powerful multi-platform App UI framework saves time and money by eliminating tedious platform-specific rewrites. You just define your project in straightforward XAML markup and C#, and MAUI generates the native applications for iOS, Android, Windows, and macOS. About the Book .NET MAUI in Action teaches you how to build cross-platform applications using the .NET MAUI framework. You'll explore compelling examples while you work your way up from "Aloha World" to a full-stack enterprise solution. Along the way, you'll master the MVVM pattern and other essentials of mobile UI development. This practical book is perfect for .NET developers who have never created mobile apps. What's Inside Write interactive UIs in XAML using out-of-the-box controls Extend your control library with custom controls Use common device features like GPS Automate deployment and testing About the Reader For experienced .NET developers. No iOS or Android experience required. About the Author Matt Goldman is a Solution Architect at SSW, a regular speaker at user groups and conferences, and maintains open source libraries for use in .NET MAUI apps. Quotes This book stands apart by boldly exploring critical enterprise application development principles. It empowers readers to be self-sufficient by emphasizing best practices and offering practical tips that equip them to improve as cross-platform developers. - From the Foreword by Kym Phillpotts, Microsoft Does not get any better than Matt Goldman! His real-world scenarios set you up for success. - Sam Basu, Progress A gold mine, full of valuable information and examples! - Aleksander Rokic, ObjectEasy The section on upgrading a Xamarin.Forms app to .NET MAUI is worth the price of the book! - Mario Solomou, Appoint.AI.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 19, 2024)
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  • 12
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    Online Resource
    Tiny CSS projects (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (8 hr., 33 min.))
    Edition: [First edition].
    DDC: 006.7/4
    Keywords: Cascading style sheets ; Web site development ; Feuilles de style en cascade ; Sites Web ; Développement ; Audiobooks ; Livres audio
    Abstract: CSS is a must-know language for all web developers. In this practical book, you'll explore numerous techniques to improve the way you write CSS as you build 12 tiny projects. In Tiny CSS Projects you'll build twelve exciting and useful web projects including: A loading screen created by styling SVG graphics A responsive newspaper layout with multiple columns Animating social media buttons with pseudo-elements Designing layouts using CSS grids Summary cards that utilize hover interactions Styling forms to make them more appealing to your users The projects may be tiny, but the CSS skills you'll learn are huge! Tiny CSS Projects teaches you how to make beautiful websites and applications by guiding you through a dozen fun coding challenges. You'll learn important skills through hands-on practice as you tinker with your own code and make real creative decisions about the projects you're building. You'll rapidly master the basics and then press on into CSS's exciting layout features including grid and flexbox, animations, transitions, and media queries. About the Technology Don't settle for boring web pages! With Cascading Style Sheets you can control color, layout, and typography to make your sites both functional and beautiful. CSS is an essential skill for web developers and designers. This book will help you get started the right way. About the Book Tiny CSS Projects builds your CSS skills by guiding you through 12 creative mini-projects. Each interesting challenge starts with a downloadable HTML skeleton. As you flesh it out with your own design ideas, you'll master CSS concepts like transitions, layout, and styling forms, and explore powerful features including Flexbox and Grid. All the skills you'll learn are easy to transfer to full-size applications. When you finish, you'll have an exciting portfolio of designs ready to go for your next project. What's Inside Transitions and animations using keyframes Layout techniques including Grid and Flexbox Styling form elements including radio buttons Embedding fonts and typography-related styles Conditional styling using pseudo-elements and media queries About the Reader For readers who know the basics of HTML and frontend development. No previous experience with CSS is required. About the Authors Martine Dowden is an author, speaker, and award-winning CTO. Michael Gearon is a user experience designer and frontend developer who has worked with many well-known brands. Quotes A great project-based approach to learning CSS with something for all skill levels. - Joe Attardi, author of Modern CSS An excellent resource! Written in simple language with plenty of applicable examples. This book proves that it is never too late to learn, even after decades of experience. I highly recommend it! - Joseph Del Vecchio, Heritage Environmental Services Clear and concise so it's easy to understand...makes learning engaging and fun. The instructions and code are well-organized and easy to follow. - Md. Zahid Hossain, Webapp Solutions.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 05, 2024)
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  • 13
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    Online Resource
    Designing deep learning systems (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file)
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Machine learning ; Apprentissage profond ; Apprentissage automatique ; Audiobooks ; Livres audio
    Abstract: A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the right open-source project for your platform Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning's design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You'll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting--and lucrative--career as a deep learning engineer. Designing Deep Learning Systems: A software engineer's guide teaches you everything you need to design and implement a production-ready deep learning platform. First, it presents the big picture of a deep learning system from the developer's perspective, including its major components and how they are connected. Then, it carefully guides you through the engineering methods you'll need to build your own maintainable, efficient, and scalable deep learning platforms. Chi Wang is a principal software developer in the Salesforce Einstein group. Donald Szeto was the co-founder and CTO of PredictionIO.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 05, 2024)
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  • 14
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    Online Resource
    Evolutionary deep learning (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file)
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Machine learning ; Apprentissage profond ; Apprentissage automatique ; Audiobooks ; Livres audio
    Abstract: Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: Solve complex design and analysis problems with evolutionary computation Tune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimization Use unsupervised learning with a deep learning autoencoder to regenerate sample data Understand the basics of reinforcement learning and the Q-Learning equation Apply Q-Learning to deep learning to produce deep reinforcement learning Optimize the loss function and network architecture of unsupervised autoencoders Make an evolutionary agent that can play an OpenAI Gym game Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning. In this one-of-a-kind guide, you'll discover tools for optimizing everything from data collection to your network architecture. About the Technology Deep learning meets evolutionary biology in this incredible book. Explore how biology-inspired algorithms and intuitions amplify the power of neural networks to solve tricky search, optimization, and control problems. Relevant, practical, and extremely interesting examples demonstrate how ancient lessons from the natural world are shaping the cutting edge of data science. About the Book Evolutionary Deep Learning introduces evolutionary computation (EC) and gives you a toolbox of techniques you can apply throughout the deep learning pipeline. Discover genetic algorithms and EC approaches to network topology, generative modeling, reinforcement learning, and more! Interactive Colab notebooks give you an opportunity to experiment as you explore. What's Inside Solve complex design and analysis problems with evolutionary computation Tune deep learning hyperparameters Apply Q-Learning to deep learning to produce deep reinforcement learning Optimize the loss function and network architecture of unsupervised autoencoders Make an evolutionary agent that can play an OpenAI Gym game About the Reader For data scientists who know Python. About the Author Micheal Lanham is a proven software and tech innovator with over 20 years of experience. Quotes Use biology-inspired optimization methods to make quick work of machine learning model training and hyperparameter selection. - Dr. Erik Sapper, Cal Poly-San Luis Obispo Makes learning evolutionary practices with neural networks easy. - Ninoslav Čerkez, Rimac Technology Data science meets optimization! Includes wonderful scenarios where optimization is applied to improve AI, ML, deep learning, and so on. We're living in a transdisciplinary age! - Ricardo Di Pasquale, Accenture.
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  • 15
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    Online Resource
    Google Anthos in action : manage hybrid and multicloud Kubernetes clusters (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (19 hr., 56 min.))
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Kubernetes ; Cloud computing ; Infonuagique ; Audiobooks ; Livres audio
    Abstract: Learn multicloud deployment on Anthos directly from the Google development team! Anthos delivers a consistent management platform for deploying and operating Linux and Windows applications anywhere--multi-cloud, edge, on-prem, bare metal, or VMware. In Google Anthos in Action you will learn: How Anthos reduces your dependencies and stack-bloat Running applications across multiple clouds and platforms Handling different workloads and data Adding automation to speed up code delivery Modernizing infrastructure with microservices and Service Mesh Policy management for enterprises Security and observability at scale Google Anthos in Action demystifies Anthos with practical examples of Anthos at work and invaluable insights from the Google team that built it. You'll learn how to use this modern, Kubernetes-based cloud platform to balance costs, automate security, and run your software literally anywhere. The book is full of Google-tested patterns that will boost efficiency across the development lifecycle. It's an absolutely essential guide for anyone working with Anthos, or delivering software in a cloud-centric world. About the Technology The operations nightmare: modern applications run on-prem, in the cloud, at the edge, on bare metal, in containers, over VMs, in any combination. And you're expected to handle the rollouts, dataOps, security, performance, scaling, backup, and whatever else comes your way. Google Anthos feels your pain. This Kubernetes-based system simplifies hybrid and multicloud operations, providing a single platform for deploying and managing your applications, wherever they live. About the Book Google Anthos in Action introduces Anthos and shows you how it can simplify operations for hybrid cloud systems. Written by 17 Googlers, it lays out everything you can do with Anthos, from Kubernetes deployments to AI models and edge computing. Each fully illustrated chapter opens up a different Anthos feature, with exercises and examples so you can see Anthos in action. You'll appreciate the valuable mix of perspectives and insight this awesome team of authors delivers. What's Inside Reduce dependencies and stack-bloat Run applications across multiple clouds and platforms Speed up code delivery with automation Policy management for enterprises Security and observability at scale About the Reader For software and cloud engineers with experience using Kubernetes. About the Author Google Anthos in Action is written by a team of 17 Googlers involved with Anthos development, and Google Cloud Certified Fellows assisting customers in the field. Quotes Your guide into the world of multicloud at scale. A great read whether you are just starting out or a seasoned veteran. - Glen Yu, PwC Canada Great book for engineers who want to learn Anthos. - Bhagvan Kommadi, Quantica Computacao Google Anthos can be intimidating. This book is an essential guide to using and understanding it. - Jose San Leandro, ioBuilders Complete, easy to understand, with simple explanations, useful diagrams, and real-world examples. I recommend it. - Rambabu Posa, Sai AAshika Consultancy.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 19, 2024)
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  • 16
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    Online Resource
    Python how-to : 63 techniques to improve your Python code (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file)
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Audiobooks ; Livres audio
    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. Have you ever asked yourself, "How do I do that in Python?" If so, you'll love this practical collection of the most important Python techniques. Python How-To includes over 60 detailed answers to questions like: How do I join and split strings? How do I access dictionary keys, values, and items? How do I set and use the return value in function calls? How do I process JSON data? How do I create lazy attributes to improve performance? How do I change variables in a different namespace? ...and much more! Python How-To walks you through the most important coding techniques in Python. Whether you're doing data science, building web applications, or writing admin scripts, you'll find answers to your "how-to" questions in this book. Inside you'll find important insights into both Python basics and deep-dive topics to help you skill-up at any stage of your Python career. Author Yong Cui's clear and practical writing is instantly accessible and makes it easy to take advantage of Python's versatile tools and libraries. Perfect to be read both from cover to cover, and whenever you need help troubleshooting your code. about the technology Python How-To uses a simple but powerful method to lock in 63 core Python skills. You'll start with a question, like "How do I find items in a sequence?" Next, you'll see an example showing the basic solution in crystal-clear code. You'll then explore interesting variations, such as finding substrings or identifying custom classes. Finally, you'll practice with a challenge exercise before moving on to the next How-To. about the book This practical guide covers all the language features you'll need to get up and running with Python. As you go, you'll explore best practices for writing great Python code. Practical suggestions and engaging graphics make each important technique come to life. Author Yong Cui's careful cross-referencing reveals how you can reuse features and concepts in different contexts. about the audience For beginning to intermediate Python programmers. about the author Dr. Yong Cui has been working with Python in bioscience for data analysis, machine learning, and tool development for over 15 years. Useful examples that correctly answer the basic 'how-to' questions you ask yourself while programming. Vitosh K. Doynov, DHL Global Forwarding Written from the developer's point of view! Cui does a masterful job helping the reader understand elegant Pythonic solutions. Chris Villanueva, Fulton-Nevets, Domestic Holdings I loved how the challenges reinforce each topic. Chris Kardell, DEBS.
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  • 17
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    Online Resource
    Rust servers, services, and apps (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (7 hr., 57 min.))
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Rust (Computer program language) ; Logiciels d'application ; Développement ; Rust (Langage de programmation) ; Audiobooks ; Livres audio
    Abstract: Deliver fast, reliable, and maintainable applications by building backend servers, services, and frontends all in nothing but Rust. In Rust Servers, Services, and Apps, you'll learn: Developing database-backed web services in Rust Building and securing RESTful APIs Writing server-side web applications in Rust Measuring and benchmarking web service performance Packaging and deploying web services Full-stack Rust applications The blazingly fast, safe, and efficient Rust language has been voted "most loved" for multiple consecutive years on the StackOverflow survey. Rust Server, Services, and Apps shows you why! Inside, you'll build web servers, RESTful services, server-rendered apps, and client frontends just using Rust. You'll learn to write code with small and predictable resource footprints, and build high-performing applications with unmatched safety and reliability. About the Technology Build speedy, stable, and safe web servers in Rust! With a unique approach to memory management and concurrency, Rust excels at getting the low-level details right so your applications run fast and flawlessly. And Rust's incredible compiler helps you avoid expensive mistakes when you're deploying web services and other core components in production. About the Book Rust Servers, Services, and Apps shows you how to create modern distributed web apps using the Rust language. You'll start with the basics: building a simple HTTP server and a RESTful web service. Then, you'll make them production ready by adding security, database interactivity, and error handling. Finally, you'll tackle a digital storefront service, create a single page app, and dig into asynchronous programming. All examples are fully illustrated and include annotated code you can easily adapt to your own projects. What's Inside Craft resilient and secure RESTful APIs Package and deploy web services Refactor fearlessly thanks to Rust's guaranteed safety Slash costs with Rust's runtime and compile-time optimizations Asynchronous programming with Rust About the Reader For web developers who know the basics of Rust. About the Author Prabhu Eshwarla is the CTO of a startup building a layer-1 blockchain using Rust. Previously, he held engineering and leadership roles at Hewlett Packard. Quotes Demonstrates how to use the unique features of Rust to bring speed and safety in web development. - David Paccoud, Clario Pioneering and practical. - Pethuru Raj, Reliance Jio Platforms Extremely well-organized and well-written. Indispensable for developing large-scale Rust web applications. - Josh Sandeman, Mpathy Software Learn how to write fast and safe web applications, and have fun doing it. - Alessandro Campeis, Prima.
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  • 18
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    Online Resource
    gRPC microservices in Go (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (4 hr., 56 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Remote procedure calls ; Go (Computer program language) ; Open source software Programming ; Go (Langage de programmation) ; Logiciels libres ; Programmation ; Audiobooks ; Livres audio
    Abstract: Build super fast and super secure microservices with the gRPC high-performance messaging protocol and powerful Go language. In gRPC Microservices in Go you'll learn: Designing and implementing resilient microservice architecture Testing microservices Deploying microservices to the cloud with modern orchestration tools Monitoring and overseeing microservices The powerful gRPC Remote Procedure Call framework delivers superior speed and security over protocols like REST. When paired with Golang's low-level efficiency and flexibility, gRPC and Go become a killer combination for latency-sensitive microservices applications. gRPC Microservices in Go shows you how to utilize these powerful tools to build production-grade microservices. You'll learn to develop microservice inter-service communication patterns that are powered by gRPC, design backward compatible APIs, and apply hexagonal architecture to microservices. About the Technology Go is perfect for writing fast, reliable microservices code, but that's only half the story. You also need a communications framework like gRPC to connect your services and handle load balancing, tracing, health checking, and authentication. Together, Go and gRPC accelerate the development process and eliminate many of the challenges you face when building and deploying microservices. About the Book gRPC Microservices in Go teaches you how to build production-ready microservices using Go and gRPC. In it, you'll learn to create efficient APIs in Go, use gRPC for network communication, and deploy on cloud and Kubernetes. Helpful examples, including a complete eCommerce web app, make it easy to grasp each concept. You'll also get an inside look at testing, deployment, and efficient DevOps practices for microservices. What's Inside Designing and implementing resilient microservice architecture Testing microservices Cloud deploying microservices with orchestration tools Monitoring and overseeing microservices About the Reader For software developers who know the basics of Go. About the Author H©ơseyin Babal has been using Go in production since 2017 to build and maintain SaaS platforms. Quotes A great book for gRPC microservices development, and even better if you plan on using Go to build them. - Jonathan Reeves, Wolfjaw Studios Insightful and comprehensive. A step-by-step walk-through with clear examples. - Jeelani Shaik, Huntington Bank A wealth of practical suggestions for real-world applications. - Marco Massenzio, Cruise Interprocess communication masterfully revisited. - Mikael Dautrey, ISITIX Uncover the power of gRPC for building secure and efficient microservices. - Andrea Monacchi, CHILI.
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  • 19
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    Online Resource
    ASP.NET core in action (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (32 hr., 49 min.))
    Edition: Third edition.
    DDC: 005.276
    Keywords: Active server pages ; Microsoft .NET Framework ; Internet programming ; Web site development ; Programmation Internet ; Sites Web ; Développement ; Audiobooks ; Livres audio
    Abstract: Build professional-grade full-stack web applications using C# and ASP.NET Core. In ASP.NET Core in Action, Third Edition you'll learn how to: Build minimal APIs for serving JSON to client-side applications Create dynamic, server-side rendered applications using Razor Pages User authentication and authorization Store data using Entity Framework Core Unit and integration tests for ASP.NET Core applications Write custom middleware and components Fully updated to ASP.NET Core 7.0! In ASP.NET Core in Action, Third Edition Microsoft MVP Andrew Lock teaches you how you can use your C# and .NET skills to build amazing cross-platform web applications. This revised bestseller reveals the latest .NET patterns, including minimal APIs and minimal hosting. Even if you've never worked with ASP.NET, you'll start creating productive cross-platform web apps fast. Illustrations and annotated code make learning visual and easy. About the Technology The ASP.NET Core web framework delivers everything you need to build professional-quality web applications. With productivity-boosting libraries for server-side rendering, secure APIs, easy data access and more, you'll spend your time implementing features instead of researching syntax and tracking down bugs. This book is your guide. About the Book ASP.NET Core in Action, Third Edition shows you how to create production-grade web applications with ASP.NET Core 7.0. You'll learn from hands-on examples, insightful illustrations, and nicely explained code. Updated coverage in this Third Edition includes creating minimal APIs, securing APIs with bearer tokens, WebApplicationBuilder, and more. What's Inside Minimal APIs for serving JSON Server-side rendering using Razor Pages Data access with Entity Framework Core Write custom middleware and components About the Reader For beginning to intermediate web developers. Examples are in C#. About the Author Andrew Lock is a Microsoft MVP who has worked with ASP.NET Core since before its first release. Quotes ASP.NET Core is a big subject. Luckily, there's a big book! This is my ASP.NET bible. - Peter Morris, Author of blazor-university.com Masterfully breaks down web programming. This book is a must-read for new and experienced developers alike. It sets the standard in the .NET space. - Khalid Abuhakmeh, JetBrains Andrew Lock's extensive experience and applied advice will truly take any .NET web developer from zero to hero. - James Hickey, Savvyy Technologies Fantastic information to help you make the best applications possible. This book stays on my desk. - Foster Haines, Foster's Website Company.
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  • 20
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    The creative programmer (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file)
    DDC: 005.1
    Keywords: Software engineering ; Computer programming ; Creative ability in technology ; Creative thinking ; Génie logiciel ; Programmation (Informatique) ; Créativité en technologie ; computer programming ; Audiobooks ; Livres audio
    Abstract: Programming is a creative act. These techniques will help you maximize the power of creativity to improve your software and your satisfaction in creating it. Inside The Creative Programmer you'll discover: The seven dimensions of creativity in software engineering The scientific understanding of creativity and how it translates to programming Actionable advice and thinking exercises that will make you a better programmer Innovative communication skills for working more efficiently on a team Creative problem-solving techniques for tackling complex challenges In The Creative Programmer you'll learn the processes and habits of highly creative individuals and discover how you can build creativity into your programming practice. This fascinating new book introduces the seven domains of creative problem solving and teaches practical techniques that apply those principles to software development. Hand-drawn illustrations, reflective thought experiments, and brain-tickling example problems help you get your creative juices flowing--you'll even be able to track your progress against a scientifically validated Creative Programming Problem Solving Test. Before you know it, you'll be thinking up new and novel ways to tackle the big challenges of your projects. About the Technology Like composing music, starting a business, or designing a marketing campaign, programming is a creative activity. And just like technical skills, creativity can be learned and improved with practice! This thought-provoking book details practical methods to turn creativity into more effective problem solving, higher productivity, and better software. About the Book The Creative Programmer explores seven dimensions of creativity in software engineering--technical knowledge, collaboration, constraints, critical thinking, curiosity, a creative state of mind, and creative techniques. As you read, you'll apply insights about creativity from other disciplines to the challenges of software development. Numerous relevant examples and exercises drive each lesson home. You'll especially enjoy the unique Creative Programming Problem Solving Test that helps you assess how creative you've been with a programming task. What's Inside The scientific understanding of creativity and how it translates to programming Advice and exercises that will help you become a creative programmer Innovative communication skills for working more efficiently on a team Creative problem-solving techniques for tackling complex challenges About the Reader For programmers of all skill levels. About the Author Wouter Groeneveld is a software engineer and computer science education researcher at KU Leuven, where he researches the importance of creativity in software engineering. Quotes The Creative Programmer is a fantastic mix of engaging historical anecdotes, practical exercises, and extensive references to papers, books, and essays both in and outside of programming.... My own copy has now been filled with pages of scribbles and notes on which I could immediately apply Wouter's lessons, a sign that his exercises are truly engaging and encouraging! - From the Foreword by Dr. Felienne Hermans, Professor of Computer Science Education, Vrije Universiteit Amsterdam, author of The Programmer's Brain Beautifully written and utterly compelling. I love the research, the insight, and the sheer joy Wouter conveys in his writing. - Daniel Terhorst-North, Dan North & Associates.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 05, 2024)
    URL: lizenzpflichtig
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  • 21
    Online Resource
    Online Resource
    Acing the certified Kubernetes administrator exam (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (7 hr., 24 min.))
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes ; Application software Study guides Development ; Examinations ; Logiciels d'application ; Développement ; Examens ; Guides de l'étudiant ; Audiobooks ; Livres audio
    Abstract: Becoming a Kubernetes administrator is a big accomplishment--and passing the Certified Kubernetes Administrator (CKA) exam can be a big boost to your career! Learn the hands on skills you need to ace the exam with clear teaching and hands-on exercises that match the unique CKA test environment. In Acing the Certified Kubernetes Administrator Exam you'll learn how to: Administer an application running on Kubernetes Troubleshoot errors inside a Kubernetes cluster Authenticate users and machines to the Kubernetes API Create persistent storage in Kubernetes Add additional functionality to an existing Kubernetes cluster Acing the Certified Kubernetes Administrator Exam is your fast-track to becoming a Certified Kubernetes Administrator! Your expert exam tutor is Chad Crowell, whose courses have helped thousands of developers to understand Kubernetes and earn the coveted CKA certification. If you're familiar with Kubernetes, this book will ensure you're ready to pass in just one month of study. If you're brand new, this is the perfect primer to get started on your Kubernetes journey. Go hands-on with all the exam objectives, including deploying containerized applications to Kubernetes, accessing an application from an ingress resource, and backup and restore. Plus, essential exam tips and exercises help you work out your mental muscle memory. About the Technology The Certified Kubernetes Administrator (CKA) exam proves to your next employer that you can set up and manage Kubernetes clusters. In this rigorous test offered by the Linux Foundation, you'll configure and manage production-grade clusters hands-on as a proctor watches. Simply put, if you aren't ready, you won't pass. About the Book Acing the Certified Kubernetes Administrator Exam teaches every skill you need to pass the CKA. You can't "hack" this exam by learning a few test-taking tricks. Instead, you'll master vital techniques like load balancing and networking with carefully designed exercises that you practice using the CKA's command-line interface. With this book, you'll be confident and ready for exam day. What's Inside Administer an application on Kubernetes Troubleshoot errors in a Kubernetes cluster Authenticate users and machines Create persistent storage About the Reader For readers who know the basics of containers and Linux admin. No Kubernetes experience required. About the Author Chad M. Crowell is the author of dozens of courses on Kubernetes and DevOps with Pluralsight and INE. Chad is also a Microsoft Certified Trainer (MCT). Quotes As someone who helped establish the CKA, I'm impressed! Great explanations, great visuals, and excellent hands-on exercises. That's what counts to pass the CKA exam! - Michael Hausenblas, AWS Solution Engineering Lead and CNCF Ambassador An invaluable resource. All exam topics are covered in detail and clearly explained. - Rob Pacheco, Forward Financing I just passed CKA. Do you need a better recommendation? - David Moravec, Y Soft An absolute marvel. It's clear, instructive, and hands-on. Highly recommended! - Giang Ch©Øu, AppHub.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 22
    Online Resource
    Online Resource
    The well-grounded Python developer : how the pros use Python and Flask (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (8 hr., 14 min.))
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Development ; Python (Langage de programmation) ; Audiobooks ; Livres audio
    Abstract: If you're new to Python, it can be tough to understand when, where, and how to use all its language features. This friendly guide shows you how the Python ecosystem fits together, and grounds you in the skills you need to continue your journey to being a software developer. Inside The Well-Grounded Python Developer you will discover: Building modules of functionality Creating a well-constructed web server application Integrating database access into your Python applications Refactor and decoupling systems to help scale them How to think about the big picture of your application The Well-Grounded Python Developer builds on Python skills you've learned in isolation and shows you how to unify them into a meaningful whole. It helps you understand the dizzying array of libraries and teaches important concepts, like modular construction, APIs, and the design of a basic web server. As you work through this practical guide, you'll discover how all the bits of Python link up as you build and modify a typical web server application--the kind of web app that's in high demand by modern businesses. About the Technology As a new programmer, you're happy just to see your code run. A professional developer, on the other hand, needs to create software that runs reliably. It must be fast, maintainable, scalable, secure, well designed and documented, easy for others to update, and quick to ship. This book teaches you the skills you need to go from Python programmer to Python developer. About the Book The Well-Grounded Python Developer shows you why Python, the world's most popular programming language, is a fantastic tool for professional development. It guides you through the most important skills, like how to name variables, functions, and classes, how to identify and write a good API, and how to use objects. You'll also learn how to deal with inevitable failures, how to make software that connects to the internet, core security practices, and many other professional-grade techniques. What's Inside Create a web application Connect to a database Design programs to handle big tasks About the Reader For experienced beginners who want to learn professional-level skills. About the Author Doug Farrell has been a professional developer since 1983, and has worked with Python for over 20 years. Quotes A fun journey, and a great resource. With this book as your guide, you'll be on the summit before you know it. - From the Foreword by Michael Kennedy, founder of Talk Python Training Well-structured with excellent code examples. I highly recommend getting this book to build your Python skills. - Stanley Anozie, Hospitality Digital An excellent tutorial in the foundations of Python development for both the novice and experienced developer. - Philip Best, Amazon This is the best Python reference I've read so far. - Julien Pohie, ThoughtWorks.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 19, 2024)
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  • 23
    Online Resource
    Online Resource
    Elasticsearch in action (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file)
    Edition: Second edition.
    DDC: 025.04252
    Keywords: Search engines Programming ; Application software Development ; Querying (Computer science) ; Moteurs de recherche ; Programmation ; Logiciels d'application ; Développement ; Bases de données ; Interrogation ; online searching ; Audiobooks ; Livres audio
    Abstract: Build powerful, production-ready search applications using the incredible features of Elasticsearch. In Elasticsearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of Elasticsearch Installing, configuring, and running Elasticsearch and Kibana Creating an index with custom settings Data types, mapping fundamentals, and templates Fundamentals of text analysis and working with text analyzers Indexing, deleting, and updating documents Indexing data in bulk, and reindexing and aliasing operations Learning search concepts, relevancy scores, and similarity algorithms Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You'll deep dive into design principles, search architectures, and Elasticsearch's essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You'll even explore real-world use cases for full text search, data visualizations, and machine learning. Plus, its comprehensive nature means you'll keep coming back to the book as a handy reference! About the Technology Create fully professional-grade search engines with Elasticsearch and Kibana! Rewritten for the latest version of Elasticsearch, this practical book explores Elasticsearch's high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs. About the Book Elasticsearch in Action, Second Edition teaches you how to add modern search features to websites and applications using Elasticsearch 8. In it, you'll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. You'll especially appreciate the mix of technical detail with techniques for designing great search experiences. What's Inside Understanding search architecture Full text and term-level search queries Analytics and aggregations High-level visualizations in Kibana Configure, scale, and tune clusters About the Reader For application developers comfortable with scripting and command-line applications. About the Author Madhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack. Quotes Madhu's passion comes across in the depth and breadth of this book, the enthusiastic tone, and the hands-on examples. I hope you will take what you have read and put it 'in action'. - From the Foreword by Shay Banon, Founder of Elasticsearch Practical and well-written. A great starting point for beginners and a comprehensive guide for more experienced professionals. - Simona Russo, Serendipity The author's excitement is evident from the first few paragraphs. Couple that with extensive experience and technical prowess, and you have an instant classic. - Herodotos Koukkides and Semi Koen, Global Japanese Financial Institution.
    URL: lizenzpflichtig
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  • 24
    Online Resource
    Online Resource
    Kubernetes in action (2018)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (18 hr., 9 min.))
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application software Development ; Application program interfaces (Computer software) ; Computer systems ; Logiciels d'application ; Développement ; Interfaces de programmation d'applications ; Systèmes informatiques ; APIs (interfaces) ; Audiobooks ; Livres audio
    Abstract: Kubernetes in Action is a comprehensive guide to effectively developing and running applications in a Kubernetes environment. Before diving into Kubernetes, the book gives an overview of container technologies like Docker, including how to build containers, so that even readers who haven't used these technologies before can get up and running. About the Technology Kubernetes is Greek for "helmsman," your guide through unknown waters. The Kubernetes container orchestration system safely manages the structure and flow of a distributed application, organizing containers and services for maximum efficiency. Kubernetes serves as an operating system for your clusters, eliminating the need to factor the underlying network and server infrastructure into your designs. About the Book Kubernetes in Action teaches you to use Kubernetes to deploy container-based distributed applications. You'll start with an overview of Docker and Kubernetes before building your first Kubernetes cluster. You'll gradually expand your initial application, adding features and deepening your knowledge of Kubernetes architecture and operation. As you navigate this comprehensive guide, you'll explore high-value topics like monitoring, tuning, and scaling. What's Inside Kubernetes' internals Deploying containers across a cluster Securing clusters Updating applications with zero downtime About the Reader Written for intermediate software developers with little or no familiarity with Docker or container orchestration systems. About the Author Marko Lukša is an engineer at Red Hat working on Kubernetes and OpenShift. Quotes Authoritative and exhaustive. In a hands-on style, the author teaches how to manage the complete lifecycle of any distributed and scalable application. - Antonio Magnaghi, System1 The best parts are the real-world examples. They don't just apply the concepts, they road test them. - Paolo Antinori, Red Hat An in-depth discussion of Kubernetes and related technologies. A must-have! - Al Krinker, USPTO The full path to becoming a professional Kubernaut. Fundamental reading. - Csaba Sari, Chimera Entertainment.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 17, 2024)
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