Böcker utgivna av O'Reilly Media

Modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing. But many scientific Python tools were not designed to leverage this parallelism. With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn. Authors Holden Karau and Mika Kimmins show you how to use Dask computations in local systems and then scale to the cloud for heavier workloads. This practical book explains why Dask is popular among industry experts and academics and is used by organizations that include Walmart, Capital One, Harvard Medical School, and NASA. With this book, you'll learn: What Dask is, where you can use it, and how it compares with other tools How to use Dask for batch data parallel processing Key distributed system concepts for working with Dask Methods for using Dask with higher-level APIs and building blocks How to work with integrated libraries such as scikit-learn, pandas, and PyTorch How to use Dask with GPUs.

Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment. These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons. They are generative ensembles that learn continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, prediction and counterfactual reasoning. By moving away from flawed statistical methodologies (and a restrictive conventional view of probability as a limiting frequency), you can embrace an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you why and how to make that transition.

"Slow systems are frustrating. They waste time and money. But making consistently great decisions about performance can be easy, if you understand what's going on. This book explains in a clear and thoughtful voice why systems perform the way they do. It's for anybody who's curious about how computer programs and other processes use their time and about what you can do to improve them. Through a mix of personal vignettes and technical use cases, Cary Millsap reviews the process of improving performance and provides best practices for optimizing systems efficiently. You'll learn how to identify the information needed to improve a system, how to find the root causes of performance issues, and how to fix them"--

"This practical guide provides system administrators, DevSecOps engineers, and cloud architects with a concise yet comprehensive overview of using PL/SQL to develop resilient database solutions. Integration specialist Stephen B. Morris helps you understand the language, build a PL/SQL toolkit, and collect a suite of reusable components and patterns. You'll dive into the benefits of combining the toolkit with a requirements-driven, feature-oriented approach and learn how to produce resilient solutions in conjunction with a scale of resilience"--

Like sysadmins before them, network engineers are finding that they cannot do their work manually anymore. As the field faces new protocols, technologies, delivery models, and a pressing need for businesses to be more agile and flexible, network automation is becoming essential. This practical guide shows network engineers how to use a range of technologies and toolsincluding Linux, Python, JSON, and XMLto automate their systems through code.Network programming and automation will help you simplify tasks involved in configuring, managing, and operating network equipment, topologies, services, and connectivity. Through the course of the book, youll learn the basic skills and tools you need to make this critical transition.This book covers:Python programming basics: data types, conditionals, loops, functions, classes, and modulesLinux fundamentals to provide the foundation you need on your network automation journeyData formats and models: JSON, XML, YAML, and YANG for networkingJinja templating and its applicability for creating network device configurationsThe role of application programming interfaces (APIs) in network automationSource control with Git to manage code changes during the automation processHow Ansible, Salt, and StackStorm open source automation tools can be used to automate network devicesKey tools and technologies required for a Continuous Integration (CI) pipeline in network operations

Continuous delivery doesn't stop with deployment. Modern software teams rely on an emerging set of best practices post-deployment to continuously improve their software. With this guide, CTOs, software architects, and senior engineering leaders will learn what these practices are and how to apply them to their existing operations. The book provides actionable insights into setting up and maintaining a smooth operational process post-deployment. You'll learn new approaches to releasing software, controlling systems at runtime, and measuring the impact of change. Armed with this knowledge, you can anticipate the next planning and building phase, feeding back into the software development lifecycle.

This guide covers all aspects of Linux system administration, from user maintenance, backups, filesystem housekeeping, storage management, and network setup to hardware and software troubleshooting and some application management. It's both a practical daily reference manual for sysadmins and IT pros and a handy study guide for those taking Linux certification exams.

Challenge your brain with math! Using nothing more than basic arithmetic and logic, you'll be thrilled as answers slot into place. Whether purely for fun or to test your knowledge, you'll sharpen your problem-solving skills and flex your mental muscles. All you need is logical thought, a little patience, and a clear mind. There are no gotchas here. These puzzles are the perfect introduction to or refresher for math concepts you may have only just learned or long since forgotten. Get ready to have more fun with numbers than you've ever had before.Engage your analytical side with these numerical brain teasers. Math and logic puzzles help you stretch your mind to think in new ways. They flex your lateral thinking as you work through fresh problem styles. Each puzzle type comes with an explanation, a method for solving them, and solutions if you get stuck.The puzzles in this book are short, self-contained, and "gritty." They offer an enjoyable challenge and are designed to be solvable within a few minutes. You only need basic arithmetic to solve these puzzles; no advanced math required. There's plenty of variety to keep things fresh. From wandering digits to magic triangles, from summing grids to water pails, you'll find something that catches your interest. Each puzzle is brief, so use them as a warm-up to your daily work, for a delightful diversion on your coffee break, or solve a few while you wind down for the day.Grab a pencil and your thinking cap, and get solving!

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickhams package development philosophy. In the process, youll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language.Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. Youll learn to focus on what you want your package to do, rather than think about package structure.Learn about the most useful components of an R package, including vignettes and unit testsAutomate anything you can, taking advantage of the years of development experience embodied in devtoolsGet tips on good style, such as organizing functions into filesStreamline your development process with devtoolsLearn the best way to submit your package to the Comprehensive R Archive Network (CRAN)Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr

"Learn everything you need to know to use the powerful Unity engine to its full potential for 3D and 2D game development, simulation, artificial intelligence, and beyond. From the basics of scripting to techniques for interactivity, AI and behavior, animation, narrative, and networking, this flexible, mind-bogglingly popular engine is useful for anything that needs visuals and real-time simulation. With this thoroughly updated problem-solving cookbook, beginner and intermediate Unity developers will learn about the Unity engine through brief recipes that teach specific features of the software and scripting systems. You'll apply a collection of snippets of code to address common scenarios such as properly keeping score, accepting input, and sharing state over the network." --

Updated to cover Docker version 1.10Docker is quickly changing the way that organizations are deploying software at scale. But understanding how Linux containers fit into your workflowand getting the integration details rightare not trivial tasks. With this practical guide, youll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production.Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced.Learn how Docker simplifies dependency management and deployment workflow for your applicationsStart working with Docker images, containers, and command line toolsUse practical techniques to deploy and test Docker-based Linux containers in productionDebug containers by understanding their composition and internal processesDeploy production containers at scale inside your data center or cloud environmentExplore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration

"What is eBPF? With this revolutionary technology, you can write custom code that dynamically changes the way the kernel behaves. It's an extraordinary platform for building a whole new generation of security, observability, and networking tools. This practical book is ideal for developers, system administrators, operators, and students who are curious about eBPF and want to know how it works. Author Liz Rice, chief open source officer with cloud native networking and security specialists Isovalent, also provides a foundation for those who want to explore writing eBPF programs themselves"--

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data.

The latest edition of Java in a Nutshell is designed to help experienced Java programmers get the most out of Java 7 and 8, but its also a learning path for new developers. Chock full of examples that demonstrate how to take complete advantage of modern Java APIs and development best practices, the first section of this thoroughly updated book provides a fast-paced, no-fluff introduction to the Java programming language and the core runtime aspects of the Java platform.The second section is a reference to core concepts and APIs that shows you how to perform real programming work in the Java environment.Get up to speed on language details, including Java 8 changesLearn object-oriented programming, using basic Java syntaxExplore generics, enumerations, annotations, and lambda expressionsUnderstand basic techniques used in object-oriented designExamine concurrency and memory, and how theyre intertwinedWork with Java collections and handle common data formatsDelve into Javas latest I/O APIs, including asynchronous channelsUse Nashorn to execute JavaScript on the Java Virtual MachineBecome familiar with development tools in OpenJDK

While plenty of educational material exists for beginning and advanced JavaScript developers, resources for intermediate-level engineers are scarce. Yet this is the career step where many developers often get stuck. With this practical book, you'll learn how to apply JavaScript theory in real projects, manage every stage of the software development lifecycle, and move your career forward. Author Milecia McGregor takes frontend, backend, and full stack engineers through all of the steps and considerations of senior JavaScript engineers, including making decisions based on product and user feedback. By the time you finish this book, you'll know how to create a production-level app for any size system you face. Understand how JavaScript works under the hood, including how a real software development lifecycle works Learn how to make decisions when building a long-term maintainable JavaScript project Explore the software development lifecycle from project ideation to production deployment with JavaScript code Gain a better understanding of complex JavaScript issues such as closures, generators, and the event loop Learn when you should take specific approaches to keep a project moving on the technical side

The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh. Building an Event-Driven Data Mesh provides: Practical tips for iteratively building your own event-driven data mesh, including hurdles you'll experience, possible solutions, and how to obtain real value as soon as possible Solutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architectures A clear understanding of how events relate to systems and other events in the same stream and across streams A realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data products Best practices for handling events at scale, privacy, and regulatory compliance Advice on asynchronous communication and handling eventual consistency

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Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. Authors Karen Kilroy, Lynn Riley, and Deepak Bhatta explain that AI's ability to change itself through program synthesis could take the technology beyond human control. With this book, you'll learn an efficient way to solve this problem by building simple blockchain controls for verifying, tracking, tracing, auditing, and even reversing AI. Blockchain tethered AI interweaves the MLOps process with blockchain so that an MLOps system requires blockchain to function, which in turn tethers AI. This guide shows you how. --

Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organizations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters.This open source system has gained popularity over the past few years for good reason. With its simple yet powerful data model and query language, Prometheus does one thing, and it does it well. Author and Prometheus developer Brian Brazil guides you through Prometheus setup, the Node exporter, and the Alertmanager, then demonstrates how to use them for application and infrastructure monitoring.Know where and how much to apply instrumentation to your application codeIdentify metrics with labels using unique key-value pairsGet an introduction to Grafana, a popular tool for building dashboardsLearn how to use the Node Exporter to monitor your infrastructureUse service discovery to provide different views of your machines and servicesUse Prometheus with Kubernetes and examine exporters you can use with containersConvert data from other monitoring systems into the Prometheus format

Get started with Ray, the open source distributed computer framework that simplifies the process of scaling comute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin with compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.

"Why is it difficult for so many companies to get digital identity right? If you're still wrestling with even simple identity problems like modern website authentication, this practical book has the answers you need. Author Phil Windley provides conceptual frameworks to help you make sense of the protocols, standards, and solutions available, with suggestions for where and when you can apply them. By linking current social login solutions to emerging self-sovereign identity issues, this book explains how digital identity works, gives you a firm grasp of what's coming, and shows how you can use it to solve your most pressing identity problems. Developers, product managers, directors, and VPs will learn how to effectively leverage identity inside applications and across their businesses"--

Despite many uncertainties in cloud computing, one truth is evident: costs will always tend to go up unless youre actively engaged in the process. Whether youre new to managing cloud spend or a seasoned pro, this book will clarify the often misunderstood workings of cloud billing fundamentals and provide expert strategies on creating a culture of cloud cost management in your organization.Drawing on real-world examples of successes and failures of large-scale cloud spenders, this book outlines a road map for building a culture of FinOps in your organization. Beginning with the fundamental concepts required to understand cloud billing concepts, youll learn how to enable an efficient and effective FinOps machine.Learn how the cloud works when it comes to financial managementSet up a FinOps team and build a framework for making spend efficiency a priorityExamine the anatomy of a cloud bill and learn how to manage itGet operational recipes for maximizing cloud efficiencyUnderstand how to motivate engineering teams to take cost-saving actionsExplore the FinOps lifecycle: Inform, Optimize, and OperateLearn the DNA of a highly functional cloud FinOps culture

This practical guide bridges the gap between general cloud computing architecture in Microsoft Azure and scientific computing for bioinformatics and genomics. You'll get a solid understanding of the architecture patterns and services that are offered in Azure and how they might be used in your bioinformatics practice. You'll get code examples that you can reuse for your specific needs. And you'll get plenty of concrete examples to illustrate how a given service is used in a bioinformatics context.You'll also get valuable advice on how to:Use enterprise platform services to easily scale your bioinformatics workloadsOrganize, query, and analyze genomic data at scaleBuild a genomics data lake and accompanying data warehouseUse Azure Machine Learning to scale your model training, track model performance, and deploy winning modelsOrchestrate and automate processing pipelines using Azure Data Factory and DatabricksCloudify your organization's existing bioinformatics pipelines by moving your workflows to Azure high-performance compute servicesAnd more

When it comes to building user interfaces on the web, React enables web developers to unlock a new world of possibilities. This practical book helps you take a deep dive into fundamental concepts of this JavaScript library, including JSX syntax and advanced patterns, the virtual DOM, React reconciliation, and advanced optimization techniques. By becoming fluent in React, you'll quickly learn how to build better web applications. Author Tejas Kumar helps you explore the depths of React in plain English, without the typical software engineering jargon, so you can more easily understand how this JavaScript library works. You'll learn how to write intuitive React code that fully understands the nuances and layers of React, unlocking a whole new level of fluency. You will: Understand how React works at a deeper level Write React apps while optimizing them along the way Build resilient React applications that work well at arbitrary scale Create React applications for other platforms adjacent to the web and mobile devices Know when to reach for different mechanisms exposed by React, such as reducers versus state versus refs

"This book teaches Git in a simple, visual, and tangible manner so that you can build a solid mental model of how Git version control works. Through the use of color, storytelling, and hands-on exercises, you will learn to use this tool with confidence ... Learning Git is ideal for anyone who needs to use Git for personal or professional projects: coding bootcamp students, junior developers, data professionals, and technical writers"--

"With this practical guide, power users and developers will discover ways to resolve everyday challenges by building end-to-end solutions with the Microsoft Power Platform. Author Jason Rivera, who specializes in SharePoint and the Microsoft 365 solution architecture, provides a comprehensive overview of how to use the Power Platform to build end-to-end solutions that address tactical business needs. By learning key components of the platform, including Power Apps, Power Automate, and Power BI, you'll be able to build low-code and no code applications, automate repeatable business processes, and create interactive reports from available data"--

"Cybersecurity is broken. Year after year, attackers remain unchallenged and undeterred, while engineering teams feel pressure to design, build, and operate 'secure' systems. Failure can't be prevented, mental models of systems are incomplete, and our digital world constantly evolves. How can we verify that our systems behave the way we expect? What can we do to improve our systems' resilience? In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals"--Back cover.