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  • MPI Ethno. Forsch.  (54)
  • [Shelter Island, New York] : Manning Publications  (54)
  • Audiobooks  (54)
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  • MPI Ethno. Forsch.  (54)
Material
Language
Years
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    Learn PowerShell scripting in a month of lunches : write and organize scripts and tools (2024)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (8 hr., 6 min.))
    Edition: Second edition.
    DDC: 005.4/46
    Keywords: Microsoft Windows (Computer file) ; Windows PowerShell (Computer program language) ; Application software Development ; Windows PowerShell (Langage de programmation) ; Logiciels d'application ; Développement ; Audiobooks ; Livres audio
    Abstract: Learn PowerShell Scripting in a Month of Lunches, Second Edition is a hands-on introduction to PowerShell automation and toolbuilding. Updated for the latest version of PowerShell, this thoroughly revised bestseller teaches you how to write efficient scripts, find and squash bugs, and organize your tools into libraries. Along the way, you’ll even pick up tips for securing and managing Linux and macOS systems.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 21, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Simple object-oriented design : create clean, maintainable applications (2024)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (4 hr., 25 min.))
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Object-oriented programming (Computer science) ; Programmation orientée objet (Informatique) ; Audiobooks ; Livres audio
    Abstract: Simple Object-Oriented Design: Create clean, maintainable applications presents practical design principles you can use to keep an object-oriented codebase simple as it grows and changes. Written as a collection of practical techniques you can apply in any OO language, it offers tips for concise code, managing dependencies and modules, and designing flexible abstractions. Illuminating figures, real-world examples, and insightful exercises make each principle stick.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 21, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Troubleshooting Java : read, debug, and optimize JVM applications (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (7 hr., 29 min.))
    Edition: [First edition].
    DDC: 005.1/4
    Keywords: Java (Computer program language) ; Debugging in computer science ; Audiobooks
    Abstract: Effectively reading and understanding existing code is a developer's superpower. In this book, you'll master techniques for code profiling, advanced debugging, and log evaluation to find and fix bugs and performance problems. In Troubleshooting Java: Read, debug, and optimize JVM applications you will learn how to: Determine what code does the first time you see it Expose code logic problems Evaluate heap dumps to find memory leaks Monitor CPU consumption to optimize execution Use thread dumps to find and solve deadlocks Easily follow a service-oriented or microservices system Properly use logging to better understand Java app execution Use Java debuggers efficiently Searching for bugs, detangling messy legacy code, or evaluating your codebase for new features sucks up much of a developer's time. Troubleshooting Java: Read, debug, and optimize JVM applications teaches code investigation techniques that will help you efficiently understand how Java apps work, how to optimize them, and how to fix the bugs that break them. You'll go from the basics of debugging to advanced methods for locating problems in microservices architectures, and save yourself hours--or even days--of time. Each new technique is explained with lively illustrations and engaging real-world examples. About the Technology Fact: Over the course of your career, you'll spend far more time reading code than you will writing it. The code investigation skills in this book will radically improve your efficiency in understanding and improving Java applications. About the Book Troubleshooting Java: Read, debug, and optimize JVM applications presents practical techniques for exploring and repairing unfamiliar code. In it, you'll learn timesaving practices for discovering hidden dependencies, discovering the root causes of crashes, and interpreting unexpected results. Go beyond profiling and debugging and start understanding how Java applications really work. What's Inside Determine what code does the first time you see it Evaluate heap dumps to find memory leaks Monitor CPU consumption to optimize execution Use thread dumps to find and solve deadlocks Uncover glitches in code logic Locate intermittent runtime problems About the Reader For intermediate Java developers. About the Author Laurențiu Spilcă is a skilled Java and Spring developer and an experienced technology instructor. He is the author of Spring Start Here and Spring Security in Action. Quotes We spend more time trying to understand code than writing it. This book shows you how to use that time wisely. - Brent Honadel, Infor Finally a book that illustrates how to troubleshoot and reason about Java apps in production! It just might save the day! - Atul Shriniwas Khot, SquareOne Insights I wish I had this collection of efficient and usable techniques at the beginning of my career. - Andriy Stosyk, EPAM Systems A great book with deep explanations about debugging techniques. - Cătălin Matei, Endava Understand how Java applications work under the hood. - Fernando Bernardino, Wise.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 11, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Fast Python : high performance techniques for large datasets (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (8 hr., 41 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic data processing ; Audiobooks
    Abstract: Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications. Fast Python is a toolbox of techniques for high performance Python including: Writing efficient pure-Python code Optimizing the NumPy and pandas libraries Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the Technology Face it. Slow code will kill a big data project. Fast pure-Python code, optimized libraries, and fully utilized multiprocessor hardware are the price of entry for machine learning and large-scale data analysis. What you need are reliable solutions that respond faster to computing requirements while using less resources, and saving money. About the Book Fast Python is a toolbox of techniques for speeding up Python, with an emphasis on big data applications. Following the clear examples and precisely articulated details, you'll learn how to use common libraries like NumPy and pandas in more performant ways and transform data for efficient storage and I/O. More importantly, Fast Python takes a holistic approach to performance, so you'll see how to optimize the whole system, from code to architecture_._ What's Inside Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing About the Reader For intermediate Python programmers familiar with the basics of concurrency. About the Author Tiago Antao is one of the co-authors of Biopython, a major bioinformatics package written in Python. Quotes.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Podman in action (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (7 hr., 40 min.))
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Logiciels d'application ; Développement ; Audiobooks ; Livres audio
    Abstract: The next generation of containers is here. Learn Podman directly from its creator, discover its exceptional security features, and start managing rootless containers that integrate easily into your systems. In Podman in Action you will learn how to: Build and run containers in rootless mode Develop and manage pods Use SystemD to oversee a container's lifecycle Work with the Podman service via Python Keep your containers confined using Podman security features Manage containerized applications on edge devices Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. You'll quickly get to grips with Podman's unique advantages over Docker, and learn how easy it is to migrate your Docker-based infrastructure. It also demonstrates how, with Podman, you can easily convert containerized applications into Kubernetes-based microservices. About the Technology It's time to upgrade your container engine! The Podman container manager delivers flexible image layer control, seamless Kubernetes compatibility, and rootless containers that can be created, run, and managed by users without admin rights. Plus, its OCI-compliant support for the Docker API lets you shift existing containers to Podman without breaking your scripts or changing the way you work. About the Book Podman in Action introduces the Podman container manager. The easy-to-follow explanations and examples give you a clear view of what containers are, how they work, and how to manage them using Podman's powerful features. You'll get a deep look at the Linux components Podman uses and even learn more about Docker along the way. You'll especially appreciate author Dan Walsh's unique insights into container security. What's Inside Develop and manage pods Key security concepts including SELinux and SECCOMP Use systemd to oversee a container's lifecycle Keep your containers confined using Podman security Manage containerized applications on edge devices Install and run Podman on MacOS and Windows About the Reader For developers or system administrators experienced with Linux and Docker. About the Author Daniel Walsh is a senior distinguished engineer at Red Hat, and leads the team that created Podman. Quotes Red Hat's own master of container security beautifully explains this important container ecosystem. - Michael Bright, mjbright Consulting Filled to the brim with examples and best practices. - Mladen Knežić, CROZ Showcases Podman's architecture, advanced security features, rootless containers, integration with systemd, and much more. I highly recommend it. - Andrea Monacchi, Chili.com A must-read for anyone who wants to harness the power of Podman and the nextgen container ecosystem. - Gowtham Sadasivam, Acceldata.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 29, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Amazon Web Services in action (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (12 hr., 52 min.))
    Edition: Third edition.
    DDC: 006.7/8
    Keywords: Amazon Web Services (Firm) ; Amazon.com (Firm) ; Web services ; Cloud computing ; Audiobooks
    Abstract: Master essential best practices for deploying and managing applications on Amazon Web Services. This revised bestseller is packed with techniques for building highly available and scalable architectures and automating deployment with Infrastructure as Code. Leverage globally distributed data centers to launch virtual machines with EC2 Store and archive large volumes of data with EBS, S3, and EFS Persist and query data with highly available and scalable database systems with RDS and DynamoDB Enhance performance with caching data in-memory with ElastiCache and MemoryDB Use Infrastructure as Code to automate your cloud infrastructure Secure workloads running in the cloud with VPC and IAM Build fault-tolerant web applications with ALB and SQS Automate common sysadmin tasks with Lambda, CLI, and SDK Build cloud-native applications based on containers with AppRunner, ECS, Fargate Thousands of developers have chosen Amazon Web Services in Action: An in-depth guide to AWS to help them succeed with the AWS cloud. Readers love this all-practical handbook for its complete introduction to computing, storage, and networking, along with best practices for all core AWS services. This revised third edition features new chapters on containerization, along with a variety of AWS innovations. You'll also learn how automating your infrastructure with IAC is a game changer for your cloud deployment, delivering a massive boost to efficiency and quality. About the Technology Amazon Web Services, the leading cloud computing platform, offers customers APIs for on-demand access to computing services. Rich in examples and best practices of how to use AWS, this Manning bestseller is now released in its third, revised, and improved edition. About the Book In Amazon Web Services in Action, Third Edition: An in-depth guide to AWS, the Wittig brothers give you a comprehensive, practical introduction to deploying and managing applications on the AWS cloud platform. With a sharp focus on the most important AWS tasks and services, they will save you hours of unproductive time. You'll learn hands-on as you complete real-world projects like hosting a WordPress site, setting up a private cloud, and deploying an app on containers. What's Inside Leverage globally distributed data centers to launch virtual machines Enhance performance with caching data in-memory Secure workloads running in the cloud with VPC and IAM Build fault-tolerant web applications with ALB and SQS About the Reader Written for mid-level developers, DevOps or platform engineers, architects, and system administrators. About the Author Andreas Wittig and Michael Wittig are software engineers and consultants focused on AWS. Together, they migrated the first bank in Germany to AWS in 2013. Quotes Up-to-date coverage. Code examples and configurations are all excellent. Even containerization is very well explained. This is the bible for Amazon Web Services. - Mohammad Shahnawaz Akhter, Bank of America It has never been so easy to learn AWS. - Jorge Ezequiel Bo, TravelX Essential for those who decide to embark on the Amazon cloud journey. - Matteo Rossi, UnipolSai Assicurazioni A complete introduction to the most important AWS Services with very useful practical examples. - Matteo Battista, GamePix.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Regular expression puzzles and AI coding assistants : 24 puzzles solved by the author, with and without assistance from Copilot, ChatGPT and more (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (3 hr., 44 min.))
    Edition: [First edition].
    DDC: 006.3
    Keywords: Regular expressions (Computer science) ; Artificial intelligence Computer programs ; Audiobooks
    Abstract: Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs. Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here's how the contest works: David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done, he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which makes smarter use of lesser known Regex library features? Read the book to find out. David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not. About the Technology Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software. But how do these AI assistants, like ChatGPT and GitHub Copilot, measure up against regular expressions--a workhorse technology for developers used to describe, find, and manipulate patterns in text. Regular expressions are compact, complex, and subtle. Will AI assistants handle the challenge? About the Book Regular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilities--and the limitations--of these exciting new tools. Author David Mertz presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants. Alongside these eye-opening puzzles you'll learn how to write prompts, integrate AI-generated coding suggestions, and interact with the assistant to get the results you want. By the end of the book, you'll have a clear understanding of where AI assistants can reliably write code for you and where you'll still need a human touch. Plus, you'll learn a lot about regular expressions! About the Reader Code examples use simple Python and Regular Expressions. No experience with AI coding tools required. About the Author David Mertz is the founder of KDM Training and an acclaimed contributor to the Python community. He is also the author of The Puzzling Quirks of Regular Expressions, Cleaning Data for Effective Data Science: Doing the Other 80% of the Work, and other books. Quotes AI coding assistants are here, and they're transforming how programming is and will be done. If you know regular expressions, pick up this book and learn all about AI coding assistants. If you don't know regular expressions, well, pick it up anyway and experience how you learn with AI coding assistants. - Dr. Daniel Zingaro University of Toronto, author of Algorithmic Thinking How these tools can be both so very amazing in what they produce, and simultaneously so utterly doltish in their numerous failures, is the main thing this book tries to understand. For reasons I attempt to elucidate throughout, of all the domains of computer programming, games with regular expressions are particularly well suited for getting a grasp on the peculiar behaviors of AI. - From the Preface I am a strong believer in Augmented Intelligence and welcome tools such as ChatGPT & Co-Pilot. To take meaningful steps toward Augmented Intelligence, we will need to understand both Humans' and Machines' strengths and weaknesses. This is where David's book comes in. Through the puzzles, David was able to show it well. Strongly recommended for anyone who is looking to use Artificial Intelligence for their business, to tap into its strength and prepare for potential risks. - Koo Ping Shung, Data Science Rex.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 2, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Introduction to generative AI : an ethical, societal, and legal overview (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (9 hr., 40 min.))
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Audiobooks
    Abstract: Generative AI tools like ChatGPT are amazing--but how can you get the most out of them in your daily work? This book introduces cutting-edge AI tools and the practical techniques you need to use them safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you'll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional work Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it's truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you'll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren't) capable of, and how you can use them to greatest advantage. about the book In Introduction to Generative AI: An ethical, societal, and legal overview, AI engineers Numa Dhamani and Maggie Engler reveal both the power and limitations of AI tools and explore their impact on society, the economy, and the law. Our expert authors share best practices for responsibly using LLMs, drawing on years of experience in machine learning, data security, and ethical AI. You'll learn strategies for getting accurate and useful responses, techniques for integrating generative AI in your workflow, and even how to handle misuse and adversarial attacks. about the audience For anyone interested in generative AI. about the authors Numa Dhamani is a natural language processing expert with domain expertise in information warfare, security, and privacy. She has developed machine learning systems for Fortune 500 companies and social media platforms, as well as for startups and nonprofits. Numa has advised companies and organizations, served as the Principal Investigator on the United States Department of Defense's research programs, and contributed to multiple international peer-reviewed journals. Maggie Engler is an engineer and researcher currently working on safety for large language models. She focuses on applying data science and machine learning to abuses in the online ecosystem, and is a domain expert in cybersecurity and trust and safety. Maggie is also an adjunct instructor at the University of Texas at Austin School of Information.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Think like a CTO (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (12 hr., 13 min.))
    Edition: [First edition].
    DDC: 658.4/038
    Keywords: Information technology Management ; Strategic planning ; Chief information officers ; Audiobooks
    Abstract: An effective Chief Technology Officer shapes almost every aspect of a modern business. This book shares the experience and advice of veteran CTOs and industry experts for handling IT crises, leading tech teams, and creating an inspiring vision for your company. In Think Like a CTO you will learn: Effective interaction and relationship-building with other C-level executives Creating long term visions and executing on short term goals Interviewing, hiring, and terminating team members Negotiating salaries and managing promotions Architecting future-proofed systems Handling security breaches and ransomware attacks Putting together budgets and working with your CFO Identifying and managing outsourced vendor opportunities Managing and communicating bad news by leading with data, not passion Being the kind of leader that employees want to follow and emulate Becoming a CTO is an incredible accomplishment. It's also one of the hardest transitions a technologist can make. This high-power and high-pressure role demands skills that are rarely developed as a software engineer. Think Like a CTO shines a light on all the areas an aspiring CTO needs to master to succeed. You'll learn how to build incredible working relationships with the rest of the C-suite, transform a company with private equity, and recruit and manage your development team. With this book as your guide, you'll quickly become a trusted leader figure with an inspiring vision for your company. About the Technology The Chief Technology Officer balances business needs with the constantly evolving world of technology. Think Like a CTO helps you develop the skills and mindset you need to take on this critical role and emerge as a successful leader. Packed with insights from industry experts and veteran CTOs, this book shares practical strategies for navigating the high-stakes world of technology leadership. About the Book Think Like a CTO shares hard-won lessons on how to thrive in the fast-paced role of Chief Technology Officer. Inside, you'll learn to establish successful technology platforms and teams, with practical frameworks for software selection and implementation, bias-free interviews and performance reviews, and earning your place at the table with other senior leaders. You'll appreciate the no-nonsense advice, insights, and war stories from CTO mentor Alan Williamson. What's Inside Building productive relationships with other C-level executives Negotiating salaries and managing promotions Architecting future-proof systems Handling security breaches and ransomware attacks About the Reader For technology leaders working in or aspiring towards a CTO role. About the Author Alan Williamson has advised numerous CTOs who were catapulted into the big leagues by private equity investment, acquisition, and rapid growth. Quotes Comprehensive and insightful views on becoming, and thriving as, a technology executive. Alan provides remarkable solutions to challenges every tech leader faces. - From the Foreword by Ankit Mathur, Co-Founder, Roundtrip Health and Founder, Press Play Technologies Interesting and very useful. I could have used this as I moved into CTO roles early in my career. - Jothy Rosenberg, Dover Microsystems An awesome collection of strategies and real-life stories! Every paragraph describes a situation many of us have experienced or an actionable step to deal with it. - Matt Ferderer, Mighty Gnomes.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 2, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Data mesh in action (2023)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (9 hr., 35 min.))
    Edition: [First edition].
    DDC: 658.4/038011
    Keywords: Management information systems ; Business Data processing ; Big data ; Audiobooks
    Abstract: Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size. In Data Mesh in Action you will learn how to: Implement a data mesh in your organization Turn data into a data product Move from your current data architecture to a data mesh Identify data domains, and decompose an organization into smaller, manageable domains Set up the central governance and local governance levels over data Balance responsibilities between the two levels of governance Establish a platform that allows efficient connection of distributed data products and automated governance Data Mesh in Action reveals how this groundbreaking architecture looks for both startups and large enterprises. You won't need any new technology--this book shows you how to start implementing a data mesh with flexible processes and organizational change. You'll explore both an extended case study and real-world examples. As you go, you'll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system. Plus, dozens of workshop techniques for both in-person and remote meetings help you onboard colleagues and drive a successful transition. About the Technology Business increasingly relies on efficiently storing and accessing large volumes of data. The data mesh is a new way to decentralize data management that radically improves security and discoverability. A well-designed data mesh simplifies self-service data consumption and reduces the bottlenecks created by monolithic data architectures. About the Book Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You'll start by building a minimum viable data product, which you'll expand into a self-service data platform, chapter-by-chapter. You'll love the book's unique "sliders" that adjust the mesh to meet your specific needs. You'll also learn processes and leadership techniques that will change the way you and your colleagues think about data. What's Inside Decompose an organization into manageable domains Turn data into a data product Set up central and local governance levels Build a fit-for-purpose data platform Improve management, initiation, and support techniques About the Reader For data professionals. Requires no specific programming stack or data platform. About the Authors Jacek Majchrzak is a hands-on lead data architect. Dr. Sven Balnojan manages data products and teams. Dr. Marian Siwiak is a data scientist and a management consultant for IT, scientific, and technical projects. Quotes This book teleports you into the seat of the chief architect on a data mesh project. - From the Foreword by Jean-Georges Perrin, PayPal A must-read for anyone who works in data. - Prukalpa Sankar, Co-Founder of Atlan Satisfies all those 'what', 'why', and 'how' questions. A unique blend of process and technology, and an excellent, example-driven resource. - Shiroshica Kulatilake, WSO2 The starting point for your journey in the new generation of data platforms. - Arnaud Castelltort, University of Montpellier
    Note: Online resource; title from title details screen (O'Reilly, viewed October 3, 2023)
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    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    The well-grounded Java developer (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (18 hr., 59 min.))
    Edition: Second edition.
    DDC: 005.2762
    Keywords: Java virtual machine ; Java (Computer program language) ; Application software Development ; Audiobooks
    Abstract: Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. In The Well-Grounded Java Developer, Second Edition you will learn: The new Java module system and why you should use it Bytecode for the JVM, including operations and classloading Performance tuning the JVM Working with Java's built-in concurrency and expanded options Programming in Kotlin and Clojure on the JVM Maximizing the benefits from your build/CI tooling with Maven and Gradle Running the JVM in containers Planning for future JVM releases The Well-Grounded Java Developer, Second Edition introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distill their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical guide. You'll discover how Java works under the hood and learn design secrets from Java's long history. Each concept is illustrated with hands-on examples, including a fully modularized application/library and creating your own multithreaded application. About the Technology Java is the beating heart of enterprise software engineering. Developers who really know Java can expect easy job hunting and interesting work. Written by experts with years of boots-on-the-ground experience, this book upgrades your Java skills. It dives into powerful features like modules and concurrency models and even reveals some of Java's deep secrets. About the Book With The Well-Grounded Java Developer, Second Edition you will go beyond feature descriptions and learn how Java operates at the bytecode level. Master high-value techniques for concurrency and performance optimization, along with must-know practices for build, test, and deployment. You'll even look at alternate JVM languages like Kotlin and Clojure. Digest this book and stand out from the pack. What's Inside The new Java module system Performance tuning the JVM Maximizing CI/CD with Maven and Gradle Running the JVM in containers Planning for future JVM releases About the Reader For intermediate Java developers. About the Authors Benjamin J. Evans is a senior principal engineer at Red Hat. Martijn Verburg is the principal SWE manager for Microsoft's Java Engineering Group. Both Benjamin and Martijn are Java Champions. Jason Clark is a principal engineer and architect at New Relic. Quotes Ben, Jason, and Martijn have done a fantastic job with this book. Take advantage of their collective wisdom. - From the Foreword by Heinz Kabutz, The Java Specialists' Newsletter True to its name, it introduces and reinforces concepts from language level down to the JVM bytecode. - Yogesh Shetty, ING Bank Great information...a worthy update. - Michael Wall, Wall Technology Consulting A deep dive into modern Java and JVM-based languages. - Gilberto Taccari, faire.ai A must-read for every Java developer, including seasoned ones! - Jean-François Morin, Laval University.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 31, 2023)
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  • 12
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    Online Resource
    Spring in action (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (11 hr., 57 min.))
    Edition: Sixth edition.
    DDC: 005.2/762
    Keywords: Java (Computer program language) ; Application software Development ; Application software ; Development ; Java (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: The only book you'll ever need to learn and master the Spring ecosystem. This update is a must-read. Pierre-Michel Ansel, 8x8 If you need to learn Spring, look no further than this widely beloved and comprehensive guide! Fully revised for Spring 5.3, and packed with interesting real-world examples to get your hands dirty with Spring. In Spring in Action, 6th Edition you will learn: Building reactive applications Relational and NoSQL databases Integrating via HTTP and REST-based services, and sand reactive RSocket services Reactive programming techniques Deploying applications to traditional servers and containers Securing applications with Spring Security Over the years, Spring in Action has helped tens of thousands of developers get a major productivity boost from Spring. This new edition of the classic bestseller covers all of the new features of Spring 5.3 and Spring Boot 2.4 along with examples of reactive programming, Spring Security for REST Services, and bringing reactivity to your databases. You'll also find the latest Spring best practices, including Spring Boot for application setup and configuration. about the technology Spring is required knowledge for Java developers! Why? This powerful framework eliminates a lot of the tedious configuration and repetitive coding tasks, making it easy to build enterprise-ready, production-quality software. The latest updates bring huge productivity boosts to microservices, reactive development, and other modern application designs. It's no wonder over half of all Java developers use Spring. about the book Spring in Action, Sixth Edition is a comprehensive guide to Spring's core features, all explained in Craig Walls' famously clear style. You'll put Spring into action as you build a complete database-backed web app step-by-step. This new edition covers both Spring fundamentals and new features such as reactive flows, Kubernetes integration, and RSocket. Whether you're new to Spring or leveling up to Spring 5.3, make this classic bestseller your bible! about the audience For beginning to intermediate Java developers. about the author Craig Walls is an engineer at VMware, a member of the Spring engineering team, a popular author, and a frequent conference speaker. The best resource for modern Spring development. Becky Huett, Big Shovel Labs The definitive guide for developers wanting to build reliable, fault-tolerant, and scalable cloud-native applications using Spring. David Witherspoon, Parsons Spring is still thriving! Get this latest edition to keep growing with it. Kevin Liao, Sotheby's Your fast track for Spring Boot development. David Torrubia Iñigo, MÁSMÓVIL Group NARRATED BY JULIE BRIERLEY.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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  • 13
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    Software mistakes and tradeoffs : how to make good programming decisions (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (13 hr., 49 min.))
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Computer programming ; Computer programming ; Computer software ; Development ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: Optimize the decisions that define your code by exploring the common mistakes and intentional tradeoffs made by expert developers. In Software Mistakes and Tradeoffs you will learn how to: Reason about your systems to make intuitive and better design decisions Understand consequences and how to balance tradeoffs Pick the right library for your problem Thoroughly analyze all of your service's dependencies Understand delivery semantics and how they influence distributed architecture Design and execute performance tests to detect code hot paths and validate a system's SLA Detect and optimize hot paths in your code to focus optimization efforts on root causes Decide on a suitable data model for date/time handling to avoid common (but subtle) mistakes Reason about compatibility and versioning to prevent unexpected problems for API clients Understand tight/loose coupling and how it influences coordination of work between teams Clarify requirements until they are precise, easily implemented, and easily tested Optimize your APIs for friendly user experience Code performance versus simplicity. Delivery speed versus duplication. Flexibility versus maintainability--every decision you make in software engineering involves balancing tradeoffs. In Software Mistakes and Tradeoffs you'll learn from costly mistakes that Tomasz Lelek and Jon Skeet have encountered over their impressive careers. You'll explore real-world scenarios where poor understanding of tradeoffs lead to major problems down the road, so you can pre-empt your own mistakes with a more thoughtful approach to decision making. Learn how code duplication impacts the coupling and evolution speed of your systems, and how simple-sounding requirements can have hidden nuances with respect to date and time information. Discover how to efficiently narrow your optimization scope according to 80/20 Pareto principles, and ensure consistency in your distributed systems. You'll soon have built up the kind of knowledge base that only comes from years of experience. About the Technology Every step in a software project involves making tradeoffs. When you're balancing speed, security, cost, delivery time, features, and more, reasonable design choices may prove problematic in production. The expert insights and relatable war stories in this book will help you make good choices as you design and build applications. About the Book Software Mistakes and Tradeoffs explores real-world scenarios where the wrong tradeoff decisions were made and illuminates what could have been done differently. In it, authors Tomasz Lelek and Jon Skeet share wisdom based on decades of software engineering experience, including some delightfully instructive mistakes. You'll appreciate the specific tips and practical techniques that accompany each example, along with evergreen patterns that will change the way you approach your next projects. What's Inside How to reason about your software systematically How to pick tools, libraries, and frameworks How tight and loose coupling affect team coordination Requirements that are precise, easy to implement, and easy to test About the Reader For mid- and senior-level developers and architects who make decisions about software design and implementation. About the Authors Tomasz Lelek works daily with a wide range of production services, architectures, and JVM languages. A Google engineer and author of C# in Depth, Jon Skeet is famous for his many practical contributions to Stack Overflow. Quotes Great book that I wish I had earlier in my career. Many hard-learned lessons contained in these pages. - Dave Corun, Avanade Clear and to-the-point summation of years of real-life experience in software engineering. A must-read for all newcomers to the software engineering world. - Rafael Avila Martinez, Mastercard Shines a light on the intrinsic conflicts of the programming process and how they impact the code you write. - Roberto Casadei, Università di Bologna Summarizes the main pain points for every software developer and presents solutions in a clear and didactic way. - Nelson González, General Electric.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 14
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    Online Resource
    Blazor in action (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (10 hr., 10 min.))
    Edition: [First edition].
    DDC: 005.3
    Keywords: Microsoft .NET Framework ; Computer programming ; Audiobooks
    Abstract: The right place to start your journey with Blazor. Kalyan Chanumolu, Microsoft An example-driven guide to building reusable UI components and web frontends--all with Blazor, C#, and .NET. In Blazor in Action, you will learn about: Blazor + WebAssembly Picking the right hosting model Building reusable UI components Building forms with validation Integrating with JavaScript libraries Securing your application Testing your applications Blazor in Action is a practical guide to building stunning UIs and client-side applications using C# and .NET. You'll use the Blazor frontend framework to create a fun and exciting web application for plotting hiking routes. As you build up your new application, you'll master the key features of Blazor, such as routing, forms and validation, and dynamic and reusable components. By the time you're done, you'll be ready to develop beautiful sites and apps that seamlessly execute your C# code natively in the browser. The book is written to the most recent stable build of Blazor and seamlessly integrates fresh features from .NET 6. about the technology Create rich web frontends without relying on JavaScript. Microsoft's Blazor framework uses WebAssembly to extend the ultra-popular ASP.NET platform. In Blazor, you can build interactive web components that run natively in the browser without plug-ins or transpilers. And because it's C# end-to-end, it's easy to share code between the server and your web UI. about the book Blazor in Action teaches you to create full-stack ASP.NET applications end-to-end in C#. You'll start by learning to build Blazor web components, working through core topics like routing and forms. As you go, you'll implement a hiking route web application that includes reusable code, integration with JavaScript libraries, and role-based security. To make sure your app is production ready, this practical book also covers state management, data persistence, and testing. about the audience For web developers with C# and .NET experience. about the author Chris Sainty has been a part of the Blazor community from the beginning. He's an active blogger, open source developer, international speaker, and a Microsoft MVP. An excellent introduction and reference for Blazor development. Jeff Smith, TJX Guides the user through the practical use of Blazor components and the concepts behind them. Fantastic book! Jim Wilson, Open Applications Group A very well-conceived and well-executed introduction to Blazor and its use in full-stack development. Mark Chalkley, MainStreetCities NARRATED BY CHRISTOPHER KENDRICK.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 25, 2022)
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  • 15
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    Online Resource
    Data-oriented programming : reduce software complexity (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (09 hr., 31 min.))
    Edition: [First edition].
    DDC: 005.117
    Keywords: Object-oriented programming (Computer science) ; Data structures (Computer science) ; Audiobooks
    Abstract: Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to: Separate code from data Represent data with generic data structures Manipulate data with general-purpose functions Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you'll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what's great about DOP. Best of all, the paradigm is language-agnostic--you'll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. About the Technology Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. About the Book Data-Oriented Programming teaches you to design software using the groundbreaking data-oriented paradigm. You'll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming. What's Inside Separate code from data Represent data with generic data structures Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data About the Reader For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the Author Yehonathan Sharvit has over twenty years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-oriented programming workshops around the world. Quotes Reach the next level of enlightenment ... Reduce accidental complexity and raise the level of abstraction. - From the Foreword by Michael T. Nygard, author of Release It!: Design and Deploy Production-Ready Software After I saw the examples, I couldn't unsee it. I didn't need a new language; I needed to approach programming differently! - From the Foreword by Ryan Singer, author of Shape Up: Stop Running in Circles and Ship Work that Matters If you have to deal with data in your code, you should know about DOP! - Michael Aydinbas, Exxeta The principles are straightforward and universally applicable. - Seth MacPherson, QuoteFactory.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 25, 2022)
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  • 16
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    Online Resource
    Kafka in action (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (7 hr., 3 min.))
    Edition: [First edition].
    DDC: 005.7565
    Keywords: Database management ; Electronic data processing ; Audiobooks
    Abstract: The authors have had many years of real-world experience using Kafka, and this book's on-the-ground feel really sets it apart. From the foreword by Jun Rao, Confluent Cofounder Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects. In Kafka in Action you will learn: Understanding Apache Kafka concepts Setting up and executing basic ETL tasks using Kafka Connect Using Kafka as part of a large data project team Performing administrative tasks Producing and consuming event streams Working with Kafka from Java applications Implementing Kafka as a message queue Kafka in Action is a fast-paced introduction to every aspect of working with Apache Kafka. Starting with an overview of Kafka's core concepts, you'll immediately learn how to set up and execute basic data movement tasks and how to produce and consume streams of events. Advancing quickly, you'll soon be ready to use Kafka in your day-to-day workflow, and start digging into even more advanced Kafka topics. about the technology Think of Apache Kafka as a high performance software bus that facilitates event streaming, logging, analytics, and other data pipeline tasks. With Kafka, you can easily build features like operational data monitoring and large-scale event processing into both large and small-scale applications. about the book Kafka in Action introduces the core features of Kafka, along with relevant examples of how to use it in real applications. In it, you'll explore the most common use cases such as logging and managing streaming data. When you're done, you'll be ready to handle both basic developer- and admin-based tasks in a Kafka-focused team. about the audience For intermediate Java developers or data engineers. No prior knowledge of Kafka required. about the authors Dylan Scott is a software developer in the insurance industry. Viktor Gamov is a Kafka-focused developer advocate. At Confluent, Dave Klein helps developers, teams, and enterprises harness the power of event streaming with Apache Kafka. A surprisingly accessible introduction to a very complex technology. Developers will want to keep a copy close by. Conor Redmond, InComm Payments A comprehensive and practical guide to Kafka and the ecosystem. Sumant Tambe, Linkedin It quickly gave me insight into how Kafka works, and how to design and protect distributed message applications. Gregor Rayman, Cloudfarms.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2023)
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  • 17
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    Online Resource
    Core Kubernetes (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (10 hr., 06 min.))
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes ; Application software Development ; Computer programs ; Application program interfaces (Computer software) ; Open source software ; Audiobooks
    Abstract: Take a deep dive into Kubernetes inner components and discover what really powers a Kubernetes cluster. This in-depth guide shines a light on Kubernetes' murky internals, to help you better plan cloud native architectures and ensure the reliability of your systems. In Core Kubernetes you will learn about: Kubernetes base components Kubernetes networking Storage and the Container Storage Interface External load balancing and ingress Kubernetes security Different ways of creating a Kubernetes cluster Configuring Kubernetes to use a GPU To build and operate reliable Kubernetes-based systems, you need to understand what's going on below the surface. Core Kubernetes is an in-depth guide to Kubernetes' internal workings written by Kubernetes contributors Chris Love and Jay Vyas. It's packed with experience-driven insights and advanced techniques you won't find anywhere else. You'll understand the unique security concerns of container-based applications, minimize costly unused capacity, and get pro tips for maximizing performance. Diagrams, labs, and hands-on examples ensure that the complex ideas are easy to understand and practical to apply. About the Technology Real-world Kubernetes deployments are messy. Even small configuration errors or design problems can bring your system to its knees. In the real world, it pays to know how each component works so you can quickly troubleshoot, reset, and get on to the next challenge. This one-of-a-kind book includes the details, hard-won advice, and pro tips to keep your Kubernetes apps up and running. About the Book This book is a tour of Kubernetes under the hood, from managing iptables to setting up dynamically scaled clusters that respond to changes in load. Every page will give you new insights on setting up and managing Kubernetes and dealing with inevitable curveballs. Core Kubernetes is a comprehensive reference guide to maintaining Kubernetes deployments in production. What's Inside Kubernetes base components Storage and the Container Storage Interface Kubernetes security Different ways of creating a Kubernetes cluster Details about the control plane, networking, and other core components About the Reader For intermediate Kubernetes developers and administrators. About the Authors Jay Vyas and Chris Love are seasoned Kubernetes developers. Quotes To understand the core details of Kubernetes, this is a must-read. - Ubaldo Pescatore, PagoPA A thorough overview of the important parts of Kubernetes. Clear language, plenty of detailed examples, and easy-to-understand diagrams. - Rob Ruetsch, adesso SE A detailed step-by-step guide that had me up and running in no time. Highly recommended! - Al Krinker, USPTO A perfect travel guide for the Kubernetes journey. - Gandhi Rajan, Software Dell Technologies.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 25, 2022)
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  • 18
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    Online Resource
    Algorithms and data structures for massive datasets (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (09 hr., 44 min.))
    Edition: [First edition].
    DDC: 005.73
    Keywords: Data structures (Computer science) ; Algorithms ; Audiobooks
    Abstract: Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You'll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Hands-on industry examples make complex ideas practical to implement in your projects--and there's no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you'll find the sweet spot of saving space without sacrificing your data's accuracy. About the Technology Standard algorithms and data structures may become slow--or fail altogether--when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost. This unique book distills cutting-edge research papers into practical techniques for sketching, streaming, and organizing massive datasets on-disk and in the cloud. About the Book Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories, this friendly guide makes even complex concepts easy to understand. You'll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases. What's Inside Probabilistic sketching data structures Choosing the right database engine Designing efficient on-disk data structures and algorithms Algorithmic tradeoffs in massive-scale systems Computing percentiles with limited space resources About the Reader Examples in Python, R, and pseudocode. About the Authors Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany. Quotes An accessible and beautifully illustrated introduction to probabilistic and disk-based data structures and algorithms. - Marcus Young, Prosper Marketplace Upgrade your knowledge of algorithms and data structures from textbook level to real-world level. - Rui Liu, Oracle Excellently explains scalable data structures and algorithms. A must-read for any data engineer. - Alex Gout, Shopify A detailed, practical approach to dealing with distributed system and data architectures. - Satej Kumar Sahu, Honeywell.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 25, 2022)
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  • 19
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    Online Resource
    Istio in action (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (11 hr., 51 min.))
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing ; Computer architecture ; Computer networks Management ; Web applications ; Application software Development ; Application program interfaces (Computer software) ; Application program interfaces (Computer software) ; Application software ; Development ; Cloud computing ; Computer architecture ; Computer networks ; Management ; Web applications ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: Solve difficult service-to-service communication challenges around security, observability, routing, and resilience with an Istio-based service mesh. Istio allows you to define these traffic policies as configuration and enforce them consistently without needing any service-code changes. In Istio in Action you will learn: Why and when to use a service mesh Envoy's role in Istio's service mesh Allowing "North-South" traffic into a mesh Fine-grained traffic routing Make your services robust to network failures Gain observability over your system with telemetry "golden signals" How Istio makes your services secure by default Integrate cloud-native applications with legacy workloads such as in VMs Reduce the operational complexity of your microservices with an Istio-powered service mesh! Istio in Action shows you how to implement this powerful new architecture and move your application-networking concerns to a dedicated infrastructure layer. Non-functional concerns stay separate from your application, so your code is easier to understand, maintain, and adapt regardless of programming language. In this practical guide, you'll go hands-on with the full-featured Istio service mesh to manage microservices communication. Helpful diagrams, example configuration, and examples make it easy to understand how to control routing, secure container applications, and monitor network traffic. About the Technology Offload complex microservice communication layer challenges to Istio! The industry-standard Istio service mesh radically simplifies security, routing, observability, and other service-to-service communication challenges. With Istio, you use a straightforward declarative configuration style to establish application-level network policies. By separating communication from business logic, your services are easier to write, maintain, and modify. About the Book Istio in Action teaches you how to implement an Istio-based service mesh that can handle complex routing scenarios, traffic encryption, authorization, and other common network-related tasks. You'll start by defining a basic service mesh and exploring the data plane with Istio's service proxy, Envoy. Then, you'll dive into core topics like traffic routing and visualization and service-to-service authentication, as you expand your service mesh to workloads on multiple clusters and legacy VMs. What's Inside Comprehensive coverage of Istio resources Practical examples to showcase service mesh capabilities Implementation of multi-cluster service meshes How to extend Istio with WebAssembly Traffic routing and observability VM integration into the mesh About the Reader For developers, architects, and operations engineers. About the Authors Christian Posta is a well-known architect, speaker, and contributor. Rinor Maloku is an engineer at Solo.io working on application networking solutions. Quotes Presents a clear-headed vision of how to achieve the goal of decoupling applications from infrastructure. I hope you'll enjoy this book as much as I have. - From the Foreword by Eric Brewer, VP Infrastructure and Google Fellow I really enjoyed the gentle introduction to Istio. I can easily recommend this book to everyone starting development with Kubernetes. - Christoph Schubert, SAP SE A comprehensive guide for building an in-depth understanding of the Istio service mesh. - Fotis Stamatelopoulos, Upwork It felt like I was shadowing a highly skilled subject matter expert. - Paolo Antinori, Red Hat
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 20
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    Designing APIs with Swagger and OpenAPI (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (11 hr., 28 min.))
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application program interfaces (Computer software) ; Application software Development ; Audiobooks
    Abstract: Follow real-world API projects from concept to production, and learn hands-on how to describe and design APIs using OpenAPI. In Designing APIs with Swagger and OpenAPI you will learn how to: Understand OpenAPI syntax and structure Use Swagger and other tooling to create OpenAPI definitions Design authentication and authorization Turn an OpenAPI description into online documentation Automate processes and generating code Iterate an API design with user stories Build a frontend against a mock server Generate backend code with Swagger Codegen Versioning an API and dodging breaking changes Work with cross-functional teams Designing APIs with Swagger and OpenAPI is a comprehensive guide to designing and describing your first RESTful API using the most widely adopted standards. Following expert instruction from Swagger core contributor Josh Ponelat and API consultant Lukas Rosenstock, you'll spend each chapter progressively expanding the kind of APIs you'll want to build in the real world. You'll utilize OpenAPI and Swagger to help automate your workflow, and free up your time to work on more exciting features. Learn the syntax and structure of OpenAPI definitions, create and iterate on an API design with common tools, and release your API to the public. About the Technology Create web APIs that customers and developers will love! Using Swagger, a collection of tools for defining and documenting REST APIs, you will build safe, controlled access to your software. And because Swagger implements the vendor-neutral OpenAPI specification, you'll be building to the same standards adopted by Google, Microsoft, and Amazon. About the Book Designing APIs with Swagger and OpenAPI introduces a design-first approach. Written for developers new to API design, it follows the lifecycle of an API project from concept to production. You'll explore the dos and don'ts of APIs through progressively complete examples. You'll get hands-on experience designing APIs for specific business needs, using open source tools to generate documentation, and building developer-friendly components like mocks and client SDKs. What's Inside OpenAPI syntax and structure Using Swagger to create OpenAPI definitions Automating processes and generating code Working with cross-functional teams About the Reader For web developers. No prior knowledge of Swagger or OpenAPI required. About the Authors Josh Ponelat is the Swagger Open Source lead at SmartBear. Lukas Rosenstock is an independent software developer and API consultant. Quotes This book clearly presents patterns and techniques that will enhance the experience for all software developers who need to work with APIs! - From the Foreword by Tony Tam, Founder of Swagger Everyone in the business of designing APIs should read this book! - Pierre-Michel Ansel, 8x8 Essential advice for design-first API development. - Ian Lovell, Cutover A must-read for individuals and teams that are building APIs. - Foster Haines, Senior Consultant at J2 Interactive.
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  • 21
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    Unity in action : multiplatform game development in C# (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (9 hr., 56 min.))
    Edition: Third edition.
    DDC: 005.13/3
    Keywords: C (Computer program language) ; Video games Programming ; Video games Design ; Software frameworks ; C (Langage de programmation) ; Jeux vidéo ; Programmation ; Jeux vidéo ; Conception ; Cadres d'applications (Informatique) ; Audiobooks ; Livres audio
    Abstract: Unity in Action, Third Edition teaches you to create games with the Unity game platform. It’s many 2D, 3D, and AR/VR game examples give you hands-on experience with Unity’s workflow tools and state-of-the-art rendering engine. This fully updated third edition presents new coverage of Unity’s XR toolkit and shows you how you can start building with virtual and augmented reality.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 21, 2024)
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  • 22
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    Inside deep learning : math, algorithms, models (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (15 hr., 36 min.))
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Artificial intelligence ; Python (Computer program language) ; Apprentissage profond ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Audiobooks ; Livres audio
    Abstract: Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!
    Note: Online resource; title from title details screen (O’Reilly, viewed May 21, 2024)
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  • 23
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    Interpretable AI (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (8 hr., 39 min.))
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence ; Python (Computer program language) ; Apprentissage automatique ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Audiobooks ; Livres audio
    Abstract: Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you’ll pick up algorithm-specific approaches, like interpreting regression and generalized additive models, along with tips to improve performance during training. You’ll also explore methods for interpreting complex deep learning models where some processes are not easily observable. AI transparency is a fast-moving field, and this book simplifies cutting-edge research into practical methods you can implement with Python.
    Note: Online resource; title from title details screen (O’Reilly, viewed May 21, 2024)
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  • 24
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    Online Resource
    Machine learning engineering in action (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (14 hr., 49 min.))
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Computer engineering ; Apprentissage automatique ; Ordinateurs ; Conception et construction ; Audiobooks ; Livres audio
    Abstract: Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you'll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You'll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the Technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. About the Book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You'll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author's extensive experience, every method in this book has been used to solve real-world projects. What's Inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the Reader For data scientists who know machine learning and the basics of object-oriented programming. About the Author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project. He is also an MLflow committer. Quotes It's like being advised by a seasoned professional every step of the way. - John Bassil, UNiDAYS The ultimate resource for machine learning engineering. - Ninoslav Cerkez, Logit A comprehensive roadmap for implementing ML across teams and in production. - Taylor Delehanty, Gaggle Thorough guidance through all the steps for building a machine learning project. Full of valuable knowledge and experience. - Rui Liu, Oracle Great for both junior and experienced professionals. - Ioannis Atsonios, Femtec Health.
    Note: Online resource; title from title details screen (O’Reilly, viewed April 29, 2024)
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  • 25
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    Logging in action : with Fluentd, Kubernetes and more (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (10 hr., 3 min.))
    Edition: [First edition].
    DDC: 005.1/6
    Keywords: Data logging ; Journalisation applicative ; Audiobooks ; Livres audio
    Abstract: Make log processing a real asset to your organization with powerful and free open source tools. In Logging in Action you will learn how to: Deploy Fluentd and Fluent Bit into traditional on-premises, IoT, hybrid, cloud, and multi-cloud environments, both small and hyperscaled Configure Fluentd and Fluent Bit to solve common log management problems Use Fluentd within Kubernetes and Docker services Connect a custom log source or destination with Fluentd's extensible plugin framework Logging best practices and common pitfalls Logging in Action is a guide to optimize and organize logging using the CNCF Fluentd and Fluent Bit projects. You'll use the powerful log management tool Fluentd to solve common log management, and learn how proper log management can improve performance and make management of software and infrastructure solutions easier. Through useful examples like sending log-driven events to Slack, you'll get hands-on experience applying structure to your unstructured data. About the Technology Don't fly blind! An effective logging system can help you see and correct problems before they cripple your software. With the Fluentd log management tool, it's a snap to monitor the behavior and health of your software and infrastructure in real time. Designed to collect and process log data from multiple sources using the industry-standard JSON format, Fluentd delivers a truly unified logging layer across all your systems. About the Book Logging in Action teaches you to record and analyze application and infrastructure data using Fluentd. Using clear, relevant examples, it shows you exactly how to transform raw system data into a unified stream of actionable information. You'll discover how logging configuration impacts the way your system functions and set up Fluentd to handle data from legacy IT environments, local data centers, and massive Kubernetes-driven distributed systems. You'll even learn how to implement complex log parsing with RegEx and output events to MongoDB and Slack. What's Inside Capture log events from a wide range of systems and software, including Kubernetes and Docker Connect to custom log sources and destinations Employ Fluentd's extensible plugin framework Create a custom plugin for niche problems About the Reader For developers, architects, and operations professionals familiar with the basics of monitoring and logging. About the Author Phil Wilkins has spent over 30 years in the software industry. Has worked for small startups through to international brands. Quotes I highly recommend using Logging in Action as a getting-started guide, a refresher, or as a way to optimize your logging journey. - From the Foreword by Anurag Gupta, Fluent maintainer and Cofounder, Calyptia Covers everything you need if you want to implement a logging system using open source technology such as Fluentd and Kubernetes. - Alex Saez, Naranja X A great exploration of the features and capabilities of Fluentd, along with very useful hands-on exercises. - George Thomas, Manhattan Associates A practical holistic guide to integrating logging into your enterprise architecture. - Satej Sahu, Honeywell.
    Note: Online resource; title from title details screen (O’Reilly, viewed April 29, 2024)
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  • 26
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    Pipeline as code : continuous delivery with Jenkins, Kubernetes, and Terraform (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (09 hr., 40 min.))
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Application software ; Development ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: Configuring CI/CD platforms has never been easier! Ubaldo Pescatore, PagoPA Start thinking about your development pipeline as a mission-critical application. Discover techniques for implementing code-driven infrastructure and CI/CD workflows using Jenkins, Docker, Terraform, and cloud-native services. In Pipeline as Code you will master: Building and deploying a Jenkins cluster from scratch Writing pipeline as code for cloud-native applications Automating the deployment of Dockerized and Serverless applications Containerizing applications with Docker and Kubernetes Deploying Jenkins on AWS, GCP and Azure Managing, securing and monitoring a Jenkins cluster in production Key principles for a successful DevOps culture Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You'll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow this book's insightful best practices, and you'll soon be delivering software that's quicker to market, faster to deploy, and with less last-minute production bugs. about the technology Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems. Code-driven pipelines are easy to use, modify, and maintain, and your entire CI pipeline becomes more efficient because you directly interact with core components like Jenkins, Terraform, and Docker. about the book In Pipeline as Code you'll learn to build reliable CI/CD pipelines for cloud-native applications. With Jenkins as the backbone, you'll programmatically control all the pieces of your pipeline via modern APIs. Hands-on examples include building CI/CD workflows for distributed Kubernetes applications, and serverless functions. By the time you're finished, you'll be able to swap manual UI-based adjustments with a fully automated approach! about the audience For developers familiar with Jenkins and Docker. Examples in Go. about the author Mohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist. A must-read for any aspiring and seasoned devops/release automation engineer. Giridharan Kesavan, Visa A very useful resource, not only for setting up and using Jenkins for CI/CD, but also for understanding the importance of Packer, Terraform, Docker, and Kubernetes. Kosmas Chatzimichalis, Mach7x A perfect journey through pipeline-based software delivery. Satej Kumar Sahu, Honeywell A brilliant, hands-on deep dive into how to implement modern CI/CD pipelines. Matthias Busch, Otto GmbH NARRATED BY ADAM NEWMARK.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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  • 27
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    Spring start here : learn what you need and learn it well (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (9 hr., 17 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Spring (Software framework) ; Application software Development ; Java (Computer program language) ; Audiobooks
    Abstract: Spring Start Here teaches Java developers how to build applications using Spring framework. Informative graphics, relevant examples, and author Laurenţiu Spilcă's clear and lively writing make it easy to pick up the skills you need. You'll discover how to plan, write, and test applications. And by concentrating on the most important features, this no-nonsense book gives you a firm foundation for exploring Spring's rich ecosystem.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 26, 2023)
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  • 28
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    Pandas in action (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (07 hr., 12 min.))
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application program interfaces (Computer software) ; Python (Computer program language) ; Application program interfaces (Computer software) ; Python (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: Of all the introductory pandas books I've read--and I did read a few--this is the best, by a mile. Erico Lendzian, idibu.com Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software. In Pandas in Action you will learn: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You'll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data. about the technology Data analysis with Python doesn't have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It's a perfect way to up your data game. about the book Pandas in Action introduces Python-based data analysis using the amazing pandas library. You'll learn to automate repetitive operations and gain deeper insights into your data that would be impractical--or impossible--in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you'll find in the real world. about the audience For readers experienced with spreadsheets and basic Python programming. about the author Boris Paskhaver is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries. This approachable guide will get you up and running quickly with all the basics you need to analyze your data. Jonathan Sharley, SiriusXM Media Understanding and putting in practice the concepts of this book will help you increase productivity and make you look like a pro. Jose Apablaza, Steadfast Networks Teaches both novice and expert Python users the essential concepts required for data analysis and data science. Ben McNamara, DataGeek NARRATED BY JULIE BRIERLEY.
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  • 29
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    Graph-powered machine learning (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (12 hr., 26 min.))
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Graph theory ; Machine learning Graphic methods ; Graph theory ; Machine learning ; Machine learning ; Graphic methods ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: I learned so much from this unique and comprehensive book. A real gem for anyone who wants to explore graph-powered ML apps. Helen Mary Labao-Barrameda, Okada Manila Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data. In Graph-Powered Machine Learning you will learn: The lifecycle of a machine learning project Graphs in big data platforms Data source modeling using graphs Graph-based natural language processing, recommendations, and fraud detection techniques Graph algorithms Working with Neo4J Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You'll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices. Author Alessandro Negro's extensive experience shines through in every chapter, as you learn from examples and concrete scenarios based on his work with real clients! about the technology Identifying relationships is the foundation of machine learning. By recognizing and analyzing the connections in your data, graph-centric algorithms like K-nearest neighbor or PageRank radically improve the effectiveness of ML applications. Graph-based machine learning techniques offer a powerful new perspective for machine learning in social networking, fraud detection, natural language processing, and recommendation systems. about the book 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. about the audience For readers comfortable with machine learning basics. about the author Alessandro Negro is Chief Scientist at GraphAware. He has been a speaker at many conferences, and holds a PhD in Computer Science. The single best source of information for graph-based machine learning. Odysseas Pentakalos, SYSNET International, Inc I learned a lot. Plenty of 'aha!' moments. Jose San Leandro Armendáriz, OSOCO.es Covers all of the bases and enough real-world examples for you to apply the techniques to your own work. Richard Vaughan, Purple Monkey Collective NARRATED BY JULIE BRIERLEY.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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  • 30
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    Bootstrapping microservices with Docker, Kubernetes, and Terraform : a project-based guide (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (12 hr., 13 min.))
    Edition: [First edition].
    DDC: 005.3/76
    Keywords: Web services ; Computer bootstrapping ; Software engineering ; Application software ; Services Web ; Génie logiciel ; Logiciels d'application ; Application software ; Computer bootstrapping ; Software engineering ; Web services ; Downloadable audio books ; Audiobooks ; Audiobooks ; Livres audio
    Abstract: The single best introduction I've read to the tools needed to understand and implement microservices. Chris Viner, Forged Development The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You'll get your feet wet using industry-standard tools as you learn and practice the practical skills you'll use for every microservices application. Following a true bootstrapping approach, you'll begin with a simple, familiar application and build up your knowledge and skills as you create and deploy a real microservices project. about the technology Taking microservices from proof of concept to production is a complex, multi-step operation relying on tools like Docker, Terraform, and Kubernetes for packaging and deployment. The best way to learn the process is to build a project from the ground up, and that's exactly what you'll do with this book! about the book In Bootstrapping Microservices with Docker, Kubernetes, and Terraform, author Ashley Davis lays out a comprehensive approach to building microservices. You'll start with a simple design and work layer-by-layer until you've created your own video streaming application. As you go, you'll learn to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. what's inside Developing and testing microservices applications Working with cloud providers Applying automated testing Implementing infrastructure as code and setting up a continuous delivery pipeline Monitoring, managing, and troubleshooting about the audience Examples are in JavaScript. No experience with microservices, Kubernetes, Terraform, or Docker required. about the author Ashley Davis is a software developer, entrepreneur, stock trader, and the author of Manning's Data Wrangling with JavaScript. The definitive infrastructure reference for any microservice builder. Julien Pohie, Thoughtworks A wonderful, practical book promising a jump start for readers for developing microservices and cloud-native applications using Docker, Kubernetes, and Terraform. Dhruvesh Patel, Cognizant Worldwide Limited An extensive and practical exposure to modern cloud resources for implementing microservices.
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  • 31
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    ASP.NET Core in action (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (26 hr., 7 min.))
    Edition: Second edition.
    DDC: 005.2/76
    Keywords: Active server pages ; Microsoft .NET Framework ; Internet programming ; Web site development ; Active server pages ; Microsoft .NET Framework ; Programmation Internet ; Sites Web ; Développement ; Internet programming ; Web site development ; Downloadable audio books ; Audiobooks ; Audiobooks ; Livres audio
    Abstract: One of the greatest and most complete books about ASP.NET Core! Delcoigne Vincent, Wavenet Fully updated to ASP.NET 5.0, ASP.NET Core in Action, Second Edition is a hands-on primer to building cross-platform web applications with your C# and .NET skills. Even if you've never worked with ASP.NET you'll start creating productive cross-platform web apps fast. about the technology Build full-stack web applications that run anywhere. Developers love ASP.NET Core for its libraries and pre-built components that maximize productivity. Version 5.0 offers new features for server-side apps, as well as background services for cross-platform development. about the book ASP.NET Core in Action, Second Edition is a comprehensive guide to creating web applications with ASP.NET Core 5.0. Go from basic HTTP concepts to advanced framework customization. Illustrations and annotated code make learning visual and easy. Master logins, dependency injection, security, and more. This updated edition covers the latest features, including Razor Pages and the new hosting paradigm. what's inside Developing apps for Windows and non-Windows servers Configuring applications Building custom components Logging, testing, and security about the audience For intermediate C# developers. about the author Andrew Lock is a Microsoft MVP who has worked with ASP.NET Core since before its first release. The most comprehensive ASP.NET Core book on the market. It covers just about everything you need to learn to quickly become productive in the often confusing and fast-changing world of .NET Core. Filip Wojcieszyn, Sonova AG Fantastic book. The topics are explained clearly and thoroughly. Luis Moux, EMO A comprehensive reference for ASP.NET Core.
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  • 32
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    Machine learning bookcamp (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (08 hr., 48 min.))
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Machine learning ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: The best hands-on guide to begin your machine learning journey. Gustavo Filipe Ramos Gomes, Troido Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. In Machine Learning Bookcamp you will: Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images Deploy ML models to a production-ready environment The only way to learn is to practice! In Machine Learning Bookcamp, you'll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you've learned in previous chapters. You'll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! about the book Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you'll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You'll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills! about the audience Python programming skills assumed. No previous machine learning knowledge is required. about the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks. Club, a community of people who love data. Great theory, real-life examples, and just the right amount of code. An absolute feast for a beginner who wants to enter the realm of machine learning. Krishna Chaitanya Anipindi, Hexagon A practical guide for anyone aspiring to be a data scientist. Amaresh Rajasekharan, IBM Corporation Exactly the practice I needed to be comfortable with machine learning. Nathan D'Elboux, Isparex NARRATED BY ADAM NEWMARK.
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  • 33
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    Advanced algorithms and data structures (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (23 hr., 30 min.))
    Edition: [First edition].
    DDC: 005.13
    Keywords: Computer algorithms ; Algorithms ; Algorithmes ; algorithms ; Computer algorithms ; Downloadable audio books ; Audiobooks ; Audiobooks ; Livres audio
    Abstract: An accessible introduction to the fundamental algorithms used to run the world. Richard Vaughan, Purple Monkey Collective As a software engineer, you'll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don't despair! Many of these "new" problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. about the technology Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer. about the book Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You'll discover cutting-edge approaches to a variety of tricky scenarios. You'll even learn to design your own data structures for projects that require a custom solution. what's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms about the audience For intermediate programmers. about the author Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing. Easy to follow and filled with practical examples, this book is a fantastic introduction to data structures and algorithms. Zachary Fleischmann, Hawthorne Interactive Look no further if you're looking for a rich book to bridge the stuff of computer science courses and the pragmatic world of software development. George Thomas, Manhattan Associates Teaches how to modify algorithms and data structures to solve practical problems.NARRATED BY JULIE BRIERLEY.
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  • 34
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    Microservices in .NET (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (08 hr., 34 min.))
    Edition: Second edition.
    Uniform Title: Microservices in .NET Core
    DDC: 004.654
    Keywords: Microsoft .NET Framework ; Service-oriented architecture (Computer science) ; Cloud computing ; Application software Development ; Microsoft .NET Framework ; Application software ; Development ; Cloud computing ; Service-oriented architecture (Computer science) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: A clear presentation of the latest best practices. A highly recommended read. David Paccoud, Bioclinica In Microservices in .NET, Second Edition you will learn how to: Build scalable microservices that are reliable in production Optimize microservices for continuous delivery Design event-based collaboration between microservices Deploy microservices to Kubernetes Set up Kubernetes in Azure Microservices in .NET, Second Edition is a comprehensive guide to building microservice applications using the .NET stack. After a crystal-clear introduction to the microservices architectural style, it teaches you practical microservices development skills using ASP.NET. This second edition of the bestselling original has been revised with up-to-date tools for the .NET ecosystem, and more new coverage of scoping microservices and deploying to Kubernetes. about the technology Microservice architectures connect independent components that must work together as a system. Integrating new technologies like Docker and Kubernetes with Microsoft's familiar ASP.NET framework and Azure cloud platform enables .NET developers to create and manage microservices efficiently. about the book Microservices in .NET, Second Edition teaches you to build and deploy microservices using ASP.NET and Azure services. It lays out microservice architecture simply, and then guides you through several real-world projects, such as building an ecommerce shopping cart. In this fully revised edition, you'll learn about scoping microservices, deploying to Kubernetes, and operations concerns like monitoring, logging, and security. about the audience For C# developers. No experience with microservices required. about the author Christian Horsdal is an independent consultant with more than 20 years of experience building projects from large-scale microservice systems to tiny embedded systems. Recommended for all developers and software architects looking to jump into the microservices world. Emanuele Origgi, Datlas This book is the best guide to learn about microservices and how to implement on .NET framework. Jeff Smith, Agilify Automation Well-written, concise, and comprehensive. I could not put it down and would definitely recommend it. Tanya Wilke, Sanlam NARRATED BY DEREK DYSART.
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  • 35
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    Deep learning patterns and practices (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (13 hr., 43 min.))
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Neural networks (Computer science) ; Machine learning Design ; Machine learning ; Neural networks (Computer science) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: One of the best deep learning books I have read. Muhammad Sohaib Arif, Tek Systems Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will find: Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Assembling large-scale model deployments Optimizing hyperparameter tuning Migrating a model to a production environment The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch's work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. about the technology Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You'll build your skills and confidence with each interesting example. about the book Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You'll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you'll get tips for deploying, testing, and maintaining your projects. about the audience For machine learning engineers familiar with Python and deep learning. about the author Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. A must-read for anyone trying to understand the ins and outs of deep learning and best practices for building a machine learning pipeline. Ariel Gamiño, GLG Really good for the modern deep learning professional. Suggested for those who want to understand what's under the hood. Simone Sguazza, University of Applied Sciences and Arts of Southern Switzerland Whether you are new to AI or have some knowledge of it, this will be your companion on the path to expertise. Eros Pedrini, everis NARRATED BY MARK THOMAS.
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    The programmer's brain (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (9 hr., 33 min.))
    Edition: [First edition].
    DDC: 005.13
    Keywords: Computer programming ; Computer programmers ; Programmation (Informatique) ; Programmeurs ; computer programming ; computer programmers ; Computer programmers ; Computer programming ; Downloadable audio books ; Audiobooks ; Audiobooks ; Livres audio
    Abstract: A great book with deep insights into the bridge between programming and the human mind. Mike Taylor, CGI Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code. In The Programmer's Brain you will learn: Fast and effective ways to master new programming languages Speed reading skills to quickly comprehend new code Techniques to unravel the meaning of complex code Ways to learn new syntax and keep it memorized Writing code that is easy for others to read Picking the right names for your variables Making your codebase more understandable to newcomers Onboarding new developers to your team Learn how to optimize your brain's natural cognitive processes to read code more easily, write code faster, and pick up new languages in much less time. This book will help you through the confusion you feel when faced with strange and complex code, and explain a codebase in ways that can make a new team member productive in days! about the technology Take advantage of your brain's natural processes to be a better programmer. Techniques based in cognitive science make it possible to learn new languages faster, improve productivity, reduce the need for code rewrites, and more. This unique book will help you achieve these gains. about the book The Programmer's Brain unlocks the way we think about code. It offers scientifically sound techniques that can radically improve the way you master new technology, comprehend code, and memorize syntax. You'll learn how to benefit from productive struggle and turn confusion into a learning tool. Along the way, you'll discover how to create study resources as you become an expert at teaching yourself and bringing new colleagues up to speed. about the audience For programmers who have experience working in more than one language. about the author Dr. Felienne Hermans is an associate professor at Leiden University in the Netherlands. She has spent the last decade researching programming, how to learn and how to teach it. Helps you understand how your brain works and how you can use it more effectively to read, write, and collaborate on code. Ben McNamara, DataGeek Teaches you science-based habits to reduce your mental workload and hack your way to becoming a rockstar programmer! Daniela Zapata Riesco, M1 Finance If you've ever wondered what working smarter instead of harder is supposed to look like, you should read this book. I am already seeing improvements in my day-to-day work.
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  • 37
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    GraphQL in action (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (09 hr., 12 min.))
    Edition: [First edition].
    DDC: 006.312
    Keywords: Application program interfaces (Computer software) ; Application software Development ; JavaScript (Computer program language) ; Web applications ; Application program interfaces (Computer software) ; Application software ; Development ; JavaScript (Computer program language) ; Web applications ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: With thorough explorations of GraphQL concepts and numerous practical examples, this excellent book will quickly take you from novice to expert. Dary Merckens, Gunner Technology Reduce bandwidth demands on your APIs by getting only the results you need--all in a single request! The GraphQL query language simplifies interactions with web servers, enabling smarter API queries that can hugely improve the efficiency of data requests. In GraphQL in Action , you'll learn how to bring those benefits to your own APIs, giving your clients the power to ask for exactly what they need from your server, no more, no less. Practical and example-driven, this book teaches everything you need to get started with GraphQL--from design principles and syntax right through to performance optimization. about the technology GraphQL APIs are fast, efficient, and easy to maintain. They reduce app latency and server cost while boosting developer productivity. This powerful query layer offers precise control over API requests and returns, making apps faster and less prone to error. about the book GraphQL in Action gives you the tools to get comfortable with the GraphQL language, build and optimize a data API service, and use it in a front-end client application. By working through set up, security, and error handling you'll learn to create a complete GraphQL server. You'll also unlock easy ways to incorporate GraphQL into your existing codebase so you can build simple, scalable data APIs. what's inside Define a GraphQL schema for relational and document databases Implement GraphQL types using both the schema language and object constructor methods Optimize GraphQL resolvers with data caching and batching Design GraphQL fragments that match UI components' data requirements Consume GraphQL API queries, mutations, and subscriptions with and without a GraphQL client library about the audience For web developers familiar with client-server applications. about the author Samer Buna has over 20 years of experience in software development including front-ends, back-ends, API design, and scalability. A great introduction to GraphQL. This was the first book where I finally 'got it'. Jeremy Lange, G2 Learn the new API paradigm with this excellent practical guide. Isaac Wong, Privé Technologies If you want to develop an API with best practices, GraphQL is for you, and this book can help you get started quickly. Ethien Daniel Salinas Domínguez, Intelligential.tech NARRATED BY CHRISTOPHER KENDRICK.
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  • 38
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    Spring Microservices in action (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (11 hr., 19 min.))
    Edition: Second edition.
    DDC: 005.2762
    Keywords: Application software Development ; Java (Computer program language) ; Cloud computing ; Application software ; Development ; Cloud computing ; Java (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: A must-have for any professional Spring microservice developer's bookshelf! Iain Campbell, Tango Telecom By dividing large applications into separate self-contained units, Microservices are a great step toward reducing complexity and increasing flexibility. Spring Microservices in Action, Second Edition teaches you how to build microservice-based applications using Java and the Spring platform. This second edition is fully updated for the latest version of Spring, with expanded coverage of API routing with Spring Cloud Gateway, logging with the ELK stack, metrics with Prometheus and Grafana, security with the Hashicorp Vault, and modern deployment practices with Kubernetes and Istio. about the technology Building and deploying microservices can be easy in Spring! Libraries like Spring Boot, Spring Cloud, and Spring Cloud Gateway reduce the boilerplate code in REST-based services. They provide an effective toolbox to get your microservices up and running on both public and private clouds. about the book Spring Microservices in Action, Second Edition teaches you to build microservice-based applications using Java and Spring. You'll start by creating basic services, then move to efficient logging and monitoring. Learn to refactor Java applications with Spring's intuitive tooling, and master API management with Spring Cloud Gateway. You'll even deploy Spring Cloud applications with AWS and Kubernetes. what's inside Microservice design principles and best practices Configuration with Spring Cloud Config and Hashicorp Vault Client-side resiliency with Resilience4j, and Spring Cloud Load Balancer Metrics monitoring with Prometheus and Grafana Distributed tracing with Spring Cloud Sleuth, Zipkin, and ELK Stack about the audience For experienced Java and Spring developers. about the author John Carnell is a senior cloud engineer with 20 years of Java experience. Illary Huaylupo Sánchez is a software engineer with over 13 years of experience. A holistic and practical approach to building cloud native microservices using Spring. Loads of practice, advice, and fun. Satej Sahu, Honeywell A perfect reference, whether you are a beginner or an experienced Java developer. Philippe Vialatte, Symphony A great guide on modern secure deployment practices for the cloud. Todd Cook, Appen NARRATED BY ADAM NEWMARK.
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  • 39
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    Five lines of code : how and when to refactor (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 sound file (8 hr., 25 min.))
    Edition: [First edition].
    DDC: 005.1/6
    Keywords: Software refactoring ; Computer programming ; Logiciels ; Refactorisation ; Programmation (Informatique) ; computer programming ; Computer programming ; Software refactoring ; Downloadable audio books ; Audiobooks ; Audiobooks ; Livres audio
    Abstract: Down to earth, focused, and right on point. It will challenge you without intimidating you and without insulting your intelligence. Robert C. Martin In Five Lines of Code you will learn: The signs of bad code Improving code safely, even when you don't understand it Balancing optimization and code generality Proper compiler practices The Extract method, Introducing Strategy pattern, and many other refactoring patterns Writing stable code that enables change-by-addition Writing code that needs no comments Real-world practices for great refactoring Improving existing code--refactoring--is one of the most common tasks you'll face as a programmer. Five Lines of Code teaches you clear and actionable refactoring rules that you can apply without relying on intuitive judgements such as "code smells." Following the author's expert perspective--that refactoring and code smells can be learned by following a concrete set of principles--you'll learn when to refactor your code, what patterns to apply to what problem, and the code characteristics that indicate it's time for a rework. about the technology Every codebase includes mistakes and inefficiencies that you need to find and fix. Refactor the right way, and your code becomes elegant, easy to read, and easy to maintain. In this book, you'll learn a unique approach to refactoring that implements any method in five lines or fewer. You'll also discover a secret most senior devs know: sometimes it's quicker to hammer out code and fix it later! about the book Five Lines of Code is a fresh look at refactoring for developers of all skill levels. In it, you'll master author Christian Clausen's innovative approach, learning concrete rules to get any method down to five lines--or less! You'll learn when to refactor, specific refactoring patterns that apply to most common problems, and characteristics of code that should be deleted altogether. about the audience For developers of all skill levels. Examples use easy-to-read Typescript, in the same style as Java and C#. about the author Christian Clausen works as a Technical Agile Coach, teaching teams how to refactor code. A delightful and fun introduction to one of the most overlooked parts of programming--refactoring. Charles Lam, EVN AG Gave me new insights on how to keep my code readable and maintainable. I highly recommend it. John Norcott, Webstaurantstore These techniques are simple but powerful, and the exercises makes it easy to learn them. They can be used in any language I know!
    Note: Online resource; title from title details screen (O'Reilly, viewed May 2, 2022)
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  • 40
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    Entity Framework Core in action (2021)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (18 hr., 57 min.))
    Edition: Second edition.
    DDC: 005.74
    Keywords: Entity Framework (Software framework) ; Database design ; Relational databases ; Audiobooks
    Abstract: Entity Framework Core in Action, Second Edition is an in-depth guide to reading and writing databases with EF Core. Revised from the bestselling original edition, it's filled with over 100 diagrams, code snippets, and examples--including building and scaling your own bookselling web application. Learn from author Jon Smith's extensive experience working with EF Core in production, as you discover time-saving patterns and best practices for security, performance tuning, and unit testing. All of the book's code is available on GitHub. About the Technology Entity Framework radically simplifies data access in .NET applications. This easy-to-use object-relational mapper (ORM) lets you write database code in pure C#. It automatically maps classes to database tables and enables queries with standard LINQ commands. It even generates SQL, so you don't have to! About the Book Entity Framework Core in Action, Second Edition teaches you to write flawless database interactions for .NET applications. Following relevant examples from author Jon Smith's extensive experience, you'll progress quickly from EF basics to advanced techniques. In addition to the latest EF features, this book addresses performance, security, refactoring, and unit testing. This updated edition also contains new material on NoSQL databases. What's Inside Configuring EF to define every table and column Updating your schema as your app grows Integrating EF with existing C# application Writing and testing business logic for database access Applying a Domain-Driven Design to EF Core Getting the best performance out of EF Core About the Reader For .NET developers familiar with relational databases. About the Author Jon P. Smith is a freelance software developer and architect with a special focus on .NET and Azure. Quotes The most comprehensive reference for EF Core that does--or ever will--exist. - Stephen Byrne, Intel Corporation The definitive guide to EF Core. Filled with real world examples, it's the most practical way to enhance your EF Core skill set. - Paul Brown, Diversified Services Network I firmly believe anyone using EF Core will find something to up their game in this book. - Anne Epstein, Headspring Remains a go-to resource for me while working with Entity Framework. - Foster Haines, J2 Interactive.
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    Seriously good software : code that works, survives, and wins (2020)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (10 hr., 14 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Computer software Development ; Application software Development ; Software architecture ; Application software ; Development ; Computer software ; Development ; Software architecture ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: Building high-quality software is never simple, and it is always a good idea to reexamine the principles of good design and craftsmanship. In this book, you will find a fresh perspective that I hope you will enjoy as much as I did. -- From the Foreword by Cay Horstmann, author of Big Java, Core Java, and many other titles Serious developers know that code can always be improved. With each iteration, you make optimizations--small and large--that can have a huge impact on your application's speed, size, resilience, and maintainability. In Seriously Good Software: Code that Works, Survives, and Wins, author, teacher, and Java expert Marco Faella teaches you techniques for writing better code. You'll start with a simple application and follow it through seven careful refactorings, each designed to explore another dimension of quality. about the technology Great code blends the skill of a programmer with the time-tested techniques and best practices embraced by the entire development community. Although each application has its own context and character, some dimensions of quality are always important. This book concentrates on seven pillars of seriously good software: speed, memory usage, reliability, readability, thread safety, generality, and elegance. The Java-based examples demonstrate techniques that apply to any OO language. about the book Seriously Good Software is a handbook for any professional developer serious about improving application quality. It explores fundamental dimensions of code quality by enhancing a simple implementation into a robust, professional-quality application. Questions, exercises, and Java-based examples ensure you'll get a firm grasp of the concepts as you go. When you finish the last version of the book's central project, you'll be able to confidently choose the right optimizations for your code. what's inside Evaluating software qualities Assessing trade-offs and interactions Fulfilling different objectives in a single task Java-based exercises you can apply in any OO language about the audience For developers with basic object-oriented programming skills and intermediate Java skills. about the author Marco Faella teaches advanced programming at a major Italian university. His published work includes peer-reviewed research articles, a Java certification manual, and a video course. A practical guide to writing better software. -- Juan J. Durillo, LRZ SuperMUC Absolute must-have for every computer science student! -- Michał Ambroziewicz, Netsprint This book should be a must-read for every new developer in any company. -- Flavio Diez, codecentric AG NARRATED BY MARK THOMAS.
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    Succeeding with AI : how to make AI work for your business (2020)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (09 hr., 09 min.))
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Business planning ; Information technology Management ; Machine learning ; Artificial intelligence ; Business planning ; Information technology ; Management ; Machine learning ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: Chock-full of illuminating examples that will dramatically improve your success with AI projects. Zarak Mahmud, Techflo Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It's filled with practical techniques for running data science programs that ensure they're cost effective and focused on the right business goals. about the technology Succeeding with AI requires talent, tools, and money. So why do many well-funded, state-of-the-art projects fail to deliver meaningful business value? Because talent, tools, and money aren't enough: You also need to know how to ask the right questions. In this unique book, AI consultant Veljko Krunic reveals a tested process to start AI projects right, so you'll get the results you want. about the book Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author's experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you'll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification. what's inside Where to invest for maximum payoff How AI projects are different from other software projects Catching early warnings in time to correct course Exercises and examples based on real-world business dilemmas about the audience For project and business leadership, result-focused data scientists, and engineering teams. No AI knowledge required. about the author Veljko Krunic is a data science consultant, has a computer science PhD, and is a certified Six Sigma Master Black Belt. If you are starting a new AI project, put all odds on your side by reading this book. David Paccoud, Bioclinica A definitive resource for building an AI system idea ... and deploying it in production. Teresa Fontanella De Santis, Accenture Follow this book's advice, and you will find your organization "succeeding with AI"! James J. Byleckie, BH Enterprises NARRATED BY NATE COLITTO
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    Build a career in data science (2020)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (14 hr., 51 min.))
    Edition: [First edition].
    DDC: 006.312023
    Keywords: Data mining Vocational guidance ; Big data Vocational guidance ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: Full of useful advice, real-case scenarios, and contributions from professionals in the industry. Sebastián Palma Mardones, ArchDaily You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. about the technology What are the keys to a data scientist's long-term success? Blending your technical know-how with the right "soft skills" turns out to be a central ingredient of a rewarding career. about the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you'll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You'll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. what's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists about the audience For learners who want to begin or advance a data science career. about the authors Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. The perfect companion for someone who wants to be a successful data scientist! Gustavo Gomes, Brightcove Insightful overview of all aspects of a data science career. Krzysztof Jędrzejewski, Pearson Highly recommended. Hagai Luger, Clarizen NARRATED BY JEROMY LLOYD.
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    TypeScript quickly (2020)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (12 hr., 33 min.))
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: TypeScript (Computer program language) ; Application software Development ; Audiobooks
    Abstract: I've seen the future and it is TypeScript--Yakov Fain and Anton Moiseev will take you there. Guy Langston, Axio Quant TypeScript is JavaScript with an important upgrade! By adding a strong type system to JavaScript, TypeScript can help you eliminate entire categories of runtime errors. In TypeScript Quickly, you'll learn to build rock-solid apps through practical examples and hands-on projects under the expert instruction of experienced web developers Yakov Fain and Anton Moiseev. about the technology Strong typing can eliminate nearly all errors caused by unanticipated data values. With TypeScript, an enhanced version of JavaScript, you can specify types and type annotations so your code is easier to read and far less likely to fail at runtime. And because the core of TypeScript is standard JavaScript, it runs on all major browsers and can be used with frameworks like Angular, Vue, and React. about the book TypeScript Quickly teaches you to exploit the benefits of types in browser-based and standalone applications. In this practical guide, you'll build a fascinating blockchain service app that takes you through a range of type-sensitive programming techniques. As you go, you'll also pick up valuable techniques for object-oriented programming with classes, interfaces, and advanced features such as decorators and conditional types. what's inside Mastering TypeScript syntax Using TypeScript with JavaScript libraries Tooling with Babel and Webpack Developing TypeScript apps using Angular, React, and Vue about the audience For web developers comfortable with JavaScript and HTML. about the authors Yakov Fain and Anton Moiseev are experienced web developers. They have authored two editions of Manning's Angular Development with TypeScript. TypeScript is the most important language to learn today, and this book is a perfect way to learn it. Jerry Stralko, Wolters Kluwer Great resource to get started with and to master TypeScript. Deniz Vehbi, Tesco A well-paced book that benefits greatly from the experience of the authors. George Thomas, Manhattan Associates.
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    Deep reinforcement learning in action (2020)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (11 hr., 49 min.))
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Computer algorithms ; Reinforcement learning ; Computational learning theory ; Artificial intelligence ; Audiobooks
    Abstract: Humans learn best from feedback--we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you'll need to implement it into your own projects. About the Technology Deep reinforcement learning AI systems rapidly adapt to new environments, a vast improvement over standard neural networks. A DRL agent learns like people do, taking in raw data such as sensor input and refining its responses and predictions through trial and error. About the Book Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you'll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you'll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym. What's Inside Building and training DRL networks The most popular DRL algorithms for learning and problem solving Evolutionary algorithms for curiosity and multi-agent learning All examples available as Jupyter Notebooks About the Reader For readers with intermediate skills in Python and deep learning. About the Author Alexander Zai is a machine learning engineer at Amazon AI. Brandon Brown is a machine learning and data analysis blogger. Quotes A thorough introduction to reinforcement learning. Fun to read and highly relevant. - Helmut Hauschild, PharmaTrace An essential read for anyone who wants to master deep reinforcement learning. - Kalyan Reddy, ArisGlobal If you ever wondered what the theory is behind AI/ML and reinforcement learning, and how you can apply the techniques in your own projects, then this book is for you. - Tobias Kaatz, OpenText I highly recommend this book to anyone who aspires to master the fundamentals of DRL and seeks to follow a research or development career in this exciting field. - Al Rahimi, Amazon.
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    Cloud native patterns : designing change-tolerant software (2019)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (12 hr., 19 min.))
    Edition: [First edition].
    DDC: 004.6782
    Keywords: Cloud computing ; Application software Development ; Software architecture ; Application software ; Development ; Cloud computing ; Software architecture ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: This book fills a gap between theory and practice ... entertaining and educational. From the Foreword by Gene Kim, coauthor of The Phoenix Project Cloud Native Patterns is your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. about the technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud. about the book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. what's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers about the audience Requires basic software design skills and an ability to read Java or a similar language. about the author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers. The book's focus on real world challenges makes this an essential manual for modern day projects. David Schmitz, Senacor Technologies Demystifies the process of building self-healing, distributed, and resilient web applications with low operational maintenance. Raveesh Sharma, Stellapps Technologies A direct and definitive guide to cloud native, with real-life experience driving the narrative. A must-read for practicing engineers who want to feel like a native in the cloud. Shanker Janakiraman, Urjanet NARRATED BY SARAH DAWE.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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    C++ concurrency in action (2019)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (13 hr.))
    Edition: Second edition.
    DDC: 005.133
    Keywords: C++ (Computer program language) ; Parallel processing (Electronic computers) ; Simultaneous multithreading processors ; C++ (Computer program language) ; Parallel processing (Electronic computers) ; Simultaneous multithreading processors ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: "This book should be on every C++ programmer's desk. It's clear, concise, and valuable." Rob Green, Bowling Green State University This bestseller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches you everything you need to write robust and elegant multithreaded applications in C++17. You choose C++ when your applications need to run fast. Well-designed concurrency makes them go even faster. C++ 17 delivers strong support for the multithreaded, multiprocessor programming required for fast graphic processing, machine learning, and other performance-sensitive tasks. This exceptional book/course unpacks the features, patterns, and best practices of production-grade C++ concurrency. C++ Concurrency in Action, Second Edition is the definitive guide to writing elegant multithreaded applications in C++. Updated for C++ 17, it carefully addresses every aspect of concurrent development, from starting new threads to designing fully functional multithreaded algorithms and data structures. Concurrency master Anthony Williams presents examples and practical tasks in every chapter, including insights that will delight even the most experienced developer. Inside: Full coverage of new C++ 17 features Starting and managing threads Synchronizing concurrent operations Designing concurrent code Debugging multithreaded applications This book/course is written for intermediate C and C++ developers. No prior experience with concurrency required. Anthony Williams has been an active member of the BSI C++ Panel since 2001 and is the developer of the just::thread Pro extensions to the C++ 11 thread library. A thorough presentation of C++ concurrency capabilities. Maurizio Tomasi, University of Milan Highly recommended for programmers who want to further their knowledge of the latest C++ standard. Frédéric Flayol, 4Pro Web C++ The guide contains snippets for everyday use in your own projects and to help take your concurrency C++ skills from the Padawan to the Jedi level. Jura Shikin, IVI Technologies NARRATED BY LISA FARINA AND DIANA GARDINER.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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  • 48
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    Natural language processing in action : understanding, analyzing, and generating text with Python (2019)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (18 hr., 30 min.))
    Edition: [First edition].
    DDC: 006.35
    Keywords: Natural language processing (Computer science) ; Python (Computer program language) ; Natural language processing (Computer science) ; Python (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: "Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models." Dr. Arwen Griffioen, Zendesk Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries--all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. Inside: Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines This book/course requires a basic understanding of deep learning and intermediate Python skills. Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Provides a great overview of current NLP tools in Python. I'll definitely be keeping this book on hand for my own NLP work. Highly recommended! Tony Mullen, Northeastern University-Seattle An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a very pragmatic way. Tommaso Teofili, Adobe Systems NARRATED BY MARK THOMAS
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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    Learn Windows PowerShell in a month of lunches (2019)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (10 hr., 56 min.))
    Edition: Third edition.
    DDC: 005.282
    Keywords: Microsoft Windows (Computer file) ; Windows PowerShell (Computer program language) ; Command languages (Computer science) ; Scripting languages (Computer science) ; Operating systems (Computers) ; Systems programming (Computer science) ; Microsoft Windows (Computer file) ; Command languages (Computer science) ; Operating systems (Computers) ; Scripting languages (Computer science) ; Systems programming (Computer science) ; Windows PowerShell (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: "Superb ... full of real-world examples, this book is an IT specialist's best friend." Olivier Deveault, Voxco Group Learn Windows PowerShell in a Month of Lunches, Third Edition is an innovative tutorial designed for busy IT professionals. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, PowerShell v3 and later, and includes v5 features like PowerShellGet. PowerShell is both a scripting language and an administrative shell that lets you control and automate nearly every aspect of Windows. It accepts and executes commands interactively and you can write scripts to manage most Windows servers like Exchange, IIS, and SharePoint, as well as online services like Azure and Office 365. Learn Windows PowerShell in a Month of Lunches, Third Edition is an innovative tutorial designed for busy IT professionals. Just set aside one hour a day - lunchtime would be perfect - for a month, and you'll be automating Windows tasks faster than you ever thought possible. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, PowerShell v3 and later, and includes v5 features like PowerShellGet. Inside: Learn PowerShell from the beginning, no experience required! Covers PowerShell v3 and up, Windows 7, and Windows Server 2008 R2 and later Each lesson takes you an hour or less Experience with Windows administration is helpful. No programming or scripting experience needed. Veteran PowerShell MVPs Don Jones and Jeffery Hicks bring years as successful trainers to this concise, easy-to-follow book/course. Your key to learning Windows PowerShell. Noreen Dertinger, Dertinger Informatics A must-have ... both novice and expert will benefit from this book. Tiklu Ganguly, Mazik Global Learn PowerShell fundamentals from the experts. James Berkenbile, Berkenbile Consulting NARRATED BY LOU FERNANDEZ
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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    Get programming : learn to code with Python (2018)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (09 hr., 17 min.))
    Edition: [First edition].
    DDC: 005.133
    Keywords: Computer programming ; Python (Computer program language) ; Computer programming ; Python (Computer program language) ; Downloadable audio books ; Audiobooks ; Instructional and educational works ; Audiobooks ; Instructional and educational works
    Abstract: Accessible and intuitive. After going through the many examples in the book, I felt much more confident in my Python programming skills. Nicole Kogan, MIT Get Programming: Learn to code with Python introduces you to the world of writing computer programs without drowning you in confusing jargon or theory that make getting started harder than it should be. Filled with practical examples and step-by-step lessons using the easy-on-the-brain Python language, this video book will get you programming in no time! This book works perfectly alongside Ana Bell's liveVideo course Get Programming with Python in Motion, featuring more projects and skills for you to pick up with this great language! about the technology Let's face it. The only way to learn computer programming is to do it. Whether you want to skill up for your next job interview or just get a few pet projects done, programming can be an amazing tool. This book is designed especially for beginners, helping them learn to program hands on, step by step, project by project. It's time to get programming! about the book Get Programming: Learn to code with Python teaches you the basics of computer programming using the Python language. In this exercise-driven video book, you'll be doing something on nearly every page as you work through 38 compact lessons and 7 engaging capstone projects. By exploring the crystal-clear illustrations, exercises that check your understanding as you go, and tips for what to try next, you'll start thinking like a programmer in no time. what's inside Programming skills you can use in any language Learn to code - no experience required Learn Python, the language for beginners Dozens of exercises and examples help you learn by doing about the audience No prior programming experience needed. about the author Ana Bell is an MIT lecturer and scientist who teaches the popular course, Introduction to Computer Science and Programming Using Python. A definitive resource for anyone wanting to grasp how to solve problems using Python. Vester Thacker, AIG Technologies Very helpful in creating a solid foundation of generic programming principles. Prabhuti Prakash, Atos Kick-starts programming concepts with Python-but useful to anyone getting started with programming. Sam Johnson, Intouch Solutions NARRATED BY MARK THOMAS.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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    Modern Java in action : lambdas, streams, functional and reactive programming (2018)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (17 hr., 50 min.))
    Edition: [First edition].
    DDC: 005.133
    Keywords: Java (Computer program language) ; Object-oriented programs (Computer programs) ; Java (Computer program language) ; Object-oriented programs (Computer programs) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: "A comprehensive and practical introduction to the modern features of the latest Java releases with excellent examples!" Oleksandr Mandryk, EPAM Systems Manning's bestselling Java 8 book has been revised for Java 9 and 10! In Modern Java in Action, you'll build on your existing Java language skills with the newest features and techniques. Modern applications take advantage of innovative designs, including microservices, reactive architectures, and streaming data. Modern Java features like lambdas, streams, and the long-awaited Java Module System make implementing these designs significantly easier. It's time to upgrade your skills and meet these challenges head on! Modern Java in Action connects new features of the Java language with their practical applications. Using crystal-clear examples and careful attention to detail, this book respects your time. It will help you expand your existing knowledge of core Java as you master modern additions like the Streams API and the Java Module System, explore new approaches to concurrency, and learn how functional concepts can help you write code that's easier to read and maintain. Inside: Thoroughly revised edition of Manning's bestselling Java 8 in Action New features in Java 8, Java 9, and beyond Streaming data and reactive programming The Java Module System Written for developers familiar with core Java features. Raoul-Gabriel Urma is CEO of Cambridge Spark. Mario Fusco is a senior software engineer at Red Hat. Alan Mycroft is a University of Cambridge computer science professor; he cofounded the Raspberry Pi Foundation. My Java code improved significantly after reading this book. I was able to take the clear examples and immediately put them into practice. Holly Cummins, IBM Hands-on Java 8 and 9, simply and elegantly explained. Deepak Bhaskaran, Salesforce A lot of great examples and use cases for streams, concurrency, and reactive programming. Rob Pacheco, Synopsys NARRATED BY SARAH DAWE AND LOU FERNANDEZ
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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    Secrets of the JavaScript ninja (2016)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (11 hr., 15 min.))
    Edition: Second edition.
    DDC: 005.2762
    Keywords: JavaScript (Computer program language) ; JavaScript (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: "Essential reading for developers of any discipline ... with powerful techniques to improve your JavaScript." Becky Huett, Big Shovel Labs More than ever, the web is a universal platform for all types of applications, and JavaScript is the language of the web. If you're serious about web development, it's not enough to be a decent JavaScript coder. You need to be ninja-stealthy, efficient, and ready for anything. This Video Edition book shows you how. Secrets of the JavaScript Ninja, Second Edition uses practical examples to clearly illustrate each core concept and technique. This completely revised edition shows you how to master key JavaScript concepts such as functions, closures, objects, prototypes, and promises. It covers APIs such as the DOM, events, and timers. You'll discover best practice techniques such as testing and cross-browser development, all taught from the perspective of skilled JavaScript practitioners. Inside: Writing more effective code with functions, objects, and closures Learning to avoid JavaScript application pitfalls Using regular expressions to write succinct text-processing code Managing asynchronous code with promises Fully revised to cover concepts from ES6 and ES7 You don't have to be a ninja to read this book--just be willing to become one. Are you ready? John Resig is an acknowledged JavaScript authority and the creator of the jQuery library. Bear Bibeault is a web developer and author of the first edition, as well as coauthor of Ajax in Practice, Prototype and Scriptaculous in Action, and jQuery in Action from Manning. Josip Maras is a post-doctoral researcher and teacher. Excellent and comprehensive insight into the magic of functions and closures for the efficient use of JavaScript. Gerd Klevesaat, Siemens The essential resource for moving your JavaScript skills to the next level. David Starkey, Blum Helps you master both the stealthy and bold techniques of modern JavaScript. Christopher Haupt, New Relic Inc
    Note: Online resource; title from title details screen (O'Reilly, viewed May 4, 2022)
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    Functional programming in JavaScript (2016)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (06 hr., 33 min.))
    Edition: [First edition].
    DDC: 005.2762
    Keywords: JavaScript (Computer program language) ; Functional programming (Computer science) ; Functional programming (Computer science) ; JavaScript (Computer program language) ; Downloadable audio books ; Audiobooks ; Audiobooks
    Abstract: "This book transformed the way that I think about and write JavaScript." Andrew Meredith, Intrinsitech Corporation Functional Programming in JavaScript teaches you techniques to improve your web applications: their extensibility, modularity, reusability, and testability, as well as their performance. This easy-to-read book/course uses concrete examples and clear explanations to show you how to use functional programming in real life. If you're new to functional programming, you'll appreciate this guide's many insightful comparisons to imperative or object-oriented programming that help you understand functional design. By the end, you'll think about application design in a fresh new way, and you may even grow to appreciate monads! In complex web applications, the low-level details of your JavaScript code can obscure the workings of the system as a whole. As a coding style, functional programming (FP) promotes loosely coupled relationships among the components of your application, making the big picture easier to design, communicate, and maintain. Inside: High-value FP techniques for real-world uses Using FP where it makes the most sense Separating the logic of your system from implementation details FP-style error handling, testing, and debugging All code samples use JavaScript ES6 (ES 2015) Created for developers with a solid grasp of JavaScript fundamentals and web application design. Luis Atencio (luijar) is a staff software engineer for Citrix Systems in Fort Lauderdale, Florida. He has a B.S. and an M.S. in computer science and now works full-time developing and architecting applications using JavaScript, Java, and PHP platforms. Luis is very involved in the community and has presented frequently at local meetups and conferences. He blogs about software engineering at luisatencio.net, writes articles for magazines and DZone, and is also the coauthor of RxJS in Action (Manning, 2017). Easy to navigate, with real-life examples. Amy Teng, Dell Now, this is the way to write JavaScript! William E. Wheeler, West Corporation After reading this book, I revisited how I approached coding and was able to retrain my mind using better methods and techniques. Tanner Slayton Sr., Microsoft Corporation NARRATED BY CHRIS DUNN
    Note: Online resource; title from title details screen (O'Reilly, viewed May 19, 2022)
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    Grokking algorithms : an illustrated guide for programmers and other curious people (2016)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 audio file (03 hr., 47 min.))
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer algorithms ; Computer programming Handbooks, manuals, etc ; Computer algorithms ; Computer programming ; Downloadable audio books ; Audiobooks ; Handbooks and manuals ; Audiobooks ; Handbooks and manuals
    Abstract: "This book does the impossible: it makes math fun and easy!" Sander Rossel, COAS Software Systems Grokking Algorithms is a friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, you are at the right place. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. Inside: Covers search, sort, and graph algorithms Performance trade-offs between algorithms Python-based code samples This easy-to-listen introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Do you want to treat yourself to learning algorithms in the same way that you would read your favorite novel? If so, this is the book you need! Sankar Ramanathan, IBM Analytics In today's world, there is no aspect of our lives that isn't optimized by some algorithm. Let this be the first book you pick up if you want a well-explained introduction to the topic. Amit Lamba, Tech Overture, LLC Algorithms are not boring! This book was fun and insightful for both my students and me. Christopher Haupt, Mobirobo, Inc NARRATED BY DEREK LETTMAN
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