Search results for ""o'reilly""

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. With this book, you'll learn machine learning and statistics tools in a practical fashion, using black-box solutions and case studies instead of a traditional math-heavy presentation. By exploring each problem in this book in depth - including both viable and hopeless approaches - you'll learn to recognize when your situation closely matches traditional problems. Then you'll discover how to apply classical statistics tools to your problem. Machine Learning for Hackers is ideal for programmers from private, public, and academic sectors.

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Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock

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Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons. In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. By reading this book, you'll: Gain a working understanding of several data architectures Know the pros and cons of each approach Distinguish data architecture theory from the reality Learn to pick the best architecture for your use case Understand the differences between data warehouses and data lakes Learn common data architecture concepts to help you build better solutions Alleviate confusion by clearly defining each data architecture Know what architectures to use for each cloud provider

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An understanding of psychology-specifically the psychology behind how users behave and interact with digital interfaces-is perhaps the single most valuable nondesign skill a designer can have. The most elegant design can fail if it forces users to conform to the design instead of working within the "blueprint" of how humans perceive and process the world around them. This practical guide explains how you can apply key principles of psychology to build products and experiences that are more human-centered and intuitive. Author Jon Yablonski deconstructs familiar apps and experiences to provide clear examples of how UX designers can build interfaces that adapt to how users perceive and process digital interfaces. You'll learn: How aesthetically pleasing design creates positive responses The principles of psychology most useful for designers How these psychology principles relate to UX heuristics Predictive models including Fitts's law, Jakob's law, and Hick's law Ethical implications of using psychology in design A practical framework for applying principles of psychology in your design process This updated edition includes an even deeper connection to the underlying psychological concepts that govern the principles explored in the book, along with accompanying UX methods and techniques. Examples have been updated to ensure the deconstructed apps and experiences remain familiar and relevant.

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Take a data-first and use-case driven approach to understanding machine learning and deep learning concepts with Low-Code AI. This hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data, feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. You'll learn how to: Distinguish structured and unstructured data and understand the different challenges they present Visualize and analyze data Preprocess data for input into a machine learning model Differentiate between the regression and classification supervised learning models Compare different machine learning model types and architectures, from no code to low-code to custom training Design, implement, and tune ML models Export data to a GitHub repository for data management and governance

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In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book. Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time. Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes Ensure Pod and container security Understand issues that have become increasingly critical to the successful implementation of Kubernetes, such as chaos engineering/testing, GitOps, service mesh, and observability

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Decision intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. Until now, there has been little practical guidance for organizations to formalize decision-making and integrate their decisions with data. With this book, authors L.Y. Pratt and N.E. Malcolm fill this gap. They present a step-by-step method for integrating technology into decisions that bridge from actions to desired outcomes, with a focus on systems that act in an advisory, human-in-the-loop capacity to decision makers. This handbook addresses three widespread data-driven decision-making problems: How can decision makers use data and technology to ensure desired outcomes? How can technology teams communicate effectively with decision makers to maximize the return on their data and technology investments? How can organizational decision makers assess and improve their decisions over time?

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As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

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Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments

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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. The information is introduced incrementally so that you don't get bogged down with unknown terms or concepts. 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, to name just a few! This book covers how to: Download Git and initialize a local repository Add files to the staging area and make commits Create, switch, and delete branches Merge and rebase branches Work with remote repositories including cloning, pushing, pulling, and fetching Use pull requests to collaborate with others

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Product management has become a critical function for modern organizations, from small startups to corporate enterprises. And yet, the day-to-day work of product management remains largely misunderstood. In theory, product managers are high-flying visionaries who build products that people love. In practice, they're hard-working facilitators who bring clarity and focus to their teams. In this thoroughly revised and expanded edition, Matt LeMay provides real-world guidance for current and aspiring product managers. Updated for the era of remote and hybrid work, this book provides actionable answers to product management's most persistent and confounding questions, starting with: What exactly am I supposed to do all day? With this book, you'll learn: What the day-to-day work of product management entails--and how to excel at it Why no job title or description will resolve the ambiguity of your role How to bridge the false dichotomy between "strategy" and "execution" Why the temptation to focus on decks and documentation can be bad for your team (and for you) How to prioritize your time and pick your battles

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Get started with Selenium WebDriver, the open source library for automating tests to ensure your web application performs as expected. In this practical hands-on book, author Boni Garcia takes Java developers through Selenium's main features for automating web navigation, browser manipulation, web element interaction, and more, with ready-to-be-executed test examples. You'll start by learning the core features of Selenium (composed of WebDriver, Grid, and IDE) and its ecosystem. Discover why Selenium WebDriver is the de facto library for developing end-to-end tests on your web application. You'll explore ways to use advanced Selenium WebDriver features, including using web browsers in Docker containers or the DevTools protocol. Selenium WebDriver examples in this book are available on GitHub. With this book, you'll learn how to: Set up a Java project containing end-to-end tests that use Selenium WebDriver Conduct automated interaction with web applications Use strategies for managing browser-specific capabilities and cross-browser testing Interact with web forms, manage pop-up messages, and execute JavaScript Control remote browsers and use advanced browser infrastructure for Selenium WebDriver tests in the cloud Model web pages using object-oriented classes to ease test maintenance and reduce code duplication

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Many organizations today orchestrate and maintain apps that rely on other people's services. Software designers, developers, and architects in those companies often work to coordinate and maintain apps based on existing microservices, including third-party services that run outside their ecosystem. This cookbook provides proven recipes to help you get those many disparate parts to work together in your network. Author Mike Amundsen provides step-by-step solutions for finding, connecting, and maintaining applications designed and built by people outside the organization. Whether you're working on human-centric mobile apps or creating high-powered machine-to-machine solutions, this guide shows you the rules, routines, commands, and protocols--the glue--that integrates individual microservices so they can function together in a safe, scalable, and reliable way. Design and build individual microservices that can successfully interact on the open web Increase interoperability by designing services that share a common understanding Build client applications that can adapt to evolving services without breaking Create resilient and reliable microservices that support peer-to-peer interactions on the web Use web-based service registries to support runtime "find-and-bind" operations that manage external dependencies in real time Implement stable workflows to accomplish complex, multiservice tasks consistently

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Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle

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In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively. Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems. You will focus on: Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs Designing scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservices Designing scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistency Designing scalable streaming systems: Explore stream processing systems and scalable event-driven processing

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You'll find several books on basic or advanced MySQL performance, but nothing in between. That's because explaining MySQL performance without addressing its complexity is difficult. This practical book bridges the gap by teaching software engineers mid-level MySQL knowledge beyond the fundamentals, but well shy of deep-level internals required by database administrators (DBAs). Daniel Nichter shows you how to apply the best practices and techniques that directly affect MySQL performance. You'll learn how to improve performance by analyzing query execution, indexing for common SQL clauses and table joins, optimizing data access, and understanding the most important MySQL metrics. You'll also discover how replication, transactions, row locking, and the cloud influence MySQL performance. Understand why query response time is the North Star of MySQL performance Learn query metrics in detail, including aggregation, reporting, and analysis See how to index effectively for common SQL clauses and table joins Explore the most important server metrics and what they reveal about performance Dive into transactions and row locking to gain deep, actionable insight Achieve remarkable MySQL performance at any scale

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In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. This book helps you: Understand the importance of applying spatial relationships in data science Select and apply data layering of both raster and vector graphics Apply location data to leverage spatial analytics Design informative and accurate maps Automate geographic data with Python scripts Explore Python packages for additional functionality Work with atypical data types such as polygons, shape files, and projections Understand the graphical syntax of spatial data science to stimulate curiosity

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To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to: Recognize the nuances and pitfalls of probability math Master statistics and hypothesis testing (and avoid common pitfalls) Discover practical applications of probability, statistics, calculus, and machine learning Intuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and added Perform calculus derivatives and integrals completely from scratch in Python Apply what you've learned to machine learning, including linear regression, logistic regression, and neural networks

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Puzzles and brain twisters to keep your mind sharp and your memory intact are all the rage today. More and more people - baby Boomers and information workers in particular - are becoming concerned about their gray matter's ability to function, and with good reason. As this sensible and entertaining guide points out, your brain is easily your most important possession. It deserves proper upkeep. "Your Brain: The Missing Manual" is a practical look at how to get the most out of your brain - not just how the brain works, but how you can use it more effectively. What makes this book different than the average self-help guide is that it's grounded in current neuroscience.You get a quick tour of several aspects of the brain, complete with useful advice about: Brain Food - the right fuel for the brain and how the brain commands hunger (including an explanation of the different chemicals that control appetite and cravings); Sleep - the sleep cycle and circadian rhythm, and how to get a good night's sleep (or do the best you can without it); Memory - techniques for improving your recall; Reason - learning to defeat common sense; logical fallacies (including tactics for winning arguments); and good reasons for bad prejudices. Creativity and Problem-Solving - brainstorming tips and thinking not outside the box, but about the box - in other words, find the assumptions that limit your ideas so you can break through them; Understanding Other People's Brains - the battle of the sexes and babies developing brainsLearn about the built-in circuitry that makes office politics seem like a life-or-death struggle, causes you to toss important facts out of your memory if they're not emotionally charged, and encourages you to eat huge amounts of high-calorie snacks.With "Your Brain: The Missing Manual", you'll discover that, sometimes, you can learn to compensate for your brain or work around its limitations - or at least to accept its eccentricities. Exploring your brain is the greatest adventure and biggest mystery you'll ever face. This guide has exactly the advice you need.

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"Grep Pocket Reference" is the first guide devoted to grep, the powerful utility program that helps you locate content in any file on a Unix or Linux system. Several applications use grep, from mail filtering and system log management to malware analysis and application development, and there are many other ways to use the utility. This pocket reference is ideal for system administrators, security professionals, developers, and others who want to learn more about grep and take new approaches with it.With "Grep Pocket Reference", you will: learn methods for filtering large files for specific content; acquire information not included in the current grep documentation; get several tricks for using variants such as egrep; keep key information about grep right at your fingertips; and, find the answers you need about grep quickly and easily. If you're familiar with this utility, "Grep Pocket Reference" will help you refresh your basic knowledge, understand rare situations, and find more efficient uses. If you're new to grep, this book is the best way to get started.

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Through many examples and exercises, this book helps simplify bioinformatics programming using Python. It's an ideal guide for biologists who want to learn either basic scripting or substantial programming for various computational tasks, and for programmers who want to learn bioinformatics programming. "Bioinformatics Programming Using Python" can be used as a reference, for self-instruction, or as a companion book to help you through undergraduate courses in computer science, biology, and other life sciences. With the level of detail this book provides, it's also perfect for Professional Master's graduate courses in Bioinformatics.

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As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power, versatility, and complexity. The truth is that there are many ways Excel can help make your job easier-beyond calculating sums and averages in a standard spreadsheet. "Analyzing Business Data with Excel" shows you how to solve real-world business problems by taking Excel's data analysis features to the max. Rather than focusing on individual Excel functions and features, the book keys directly on the needs of business users. Most of the chapters start with a business problem or question, and then show you how to create pointed spreadsheets that address common data analysis issues. Aimed primarily at experienced Excel users, the book doesn't spend much time on the basics. After introducing some necessary general tools, it quickly moves into more specific problem areas, such as the following: Statistics; Pivot tables; Workload forecasting; Modeling; Measuring quality; Monitoring complex systems; Queuing; Optimizing; and Importing data. If you feel as though you're getting shortchanged by your overall application of Excel, "Analyzing Business Data with Excel" is just the antidote. It addresses the growing Excel data analysis market head on. Accountants, managers, analysts, engineers, and supervisors-one and all-will learn how to turn Excel functionality into actual solutions for the business problems that confront them.

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This book sheds light on the principles behind the relational model, which is fundamental to all database-backed applications--and, consequently, most of the work that goes on in the computing world today. Database in Depth: The Relational Model for Practitioners goes beyond the hype and gets to the heart of how relational databases actually work. Ideal for experienced database developers and designers, this concise guide gives you a clear view of the technology--a view that's not influenced by any vendor or product. Featuring an extensive set of exercises, it will help you: * understand why and how the relational model is still directly relevant to modern database technology (and will remain so for the foreseeable future) * see why and how the SQL standard is seriously deficient * use the best current theoretical knowledge in the design of their databases and database applications * make informed decisions in their daily database professional activitiesDatabase in Depth will appeal not only to database developers and designers, but also to a diverse field of professionals and academics, including database administrators (DBAs), information modelers, database consultants, and more. Virtually everyone who deals with relational databases should have at least a passing understanding of the fundamentals of working with relational models. Author C.J. Date has been involved with the relational model from its earliest days. An exceptionally clear-thinking writer, Date lays out principle and theory in a manner that is easily understood. Few others can speak as authoritatively the topic of relational databases as Date can.

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Firewalls, Network Address Translation (NAT), and network logging and accounting are all provided by Linux's Netfilter system, also known by the name of the command used to administer it, iptables. The iptables interface is the most sophisticated ever offered on Linux and makes Linux an extremely flexible system for any kind of network filtering you might do. Large sets of filtering rules can be grouped in ways that makes it easy to test them and turn them on and off. Do you watch for all types of ICMP traffic--some of them quite dangerous? Can you take advantage of stateful filtering to simplify the management of TCP connections? Would you like to track how much traffic of various types you get? This pocket reference will help you at those critical moments when someone asks you to open or close a port in a hurry, either to enable some important traffic or to block an attack. The book will keep the subtle syntax straight and help you remember all the values you have to enter in order to be as secure as possible. The listings of all iptables options are divided into those suitable for firewalling, accounting, and NAT.

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Updated for Excel 2002, this text offers Excel power-users, as well as programmers who are unfamiliar with the Excel object model, with an introduction to writing Visual Basic for Applications (VBA) macros and programs for Excel. In particular, the book focuses on: the Visual Basic Editor and the Excel VBA programming environment. Excel features a complete , state-of-the-art integ rated development environment for writing, running, testing, and debugging VBA macros. The VBA programming language, the same programming language used by the other applications in Microsoft Office XP and 2000, as well as by the retail editions of Visual Basic 6.0. The Excel object model, including new objects and new members of existing objects in Excel 2002. Excel exposes nearly all of its functionality through its object model, which is the means by which Excel can be controlled programmatically using VBA. While the Excel object model, with 192 objects, is the second largest among the Office applications, you need to be familiar with only a handful of objects to write effective macros. Writing Excel Macros focuses on these essential objects, but includes a discussion of many more objects as well.

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Do It Together!Making is better when you're doing it with friends! In Make: Volume 58, we explore different ways to tackle large scale projects that are way bigger than one person can handle alone. In our cover story, get the scoop on how a team of engineers built giant robot Megabot to fight for glory in the world's first real-life mecha battle. Then, discover the latest in robo races and build your own autonomous R/C car.You'll find 14 projects inside, including: Send stealthy messages with Morse code over the internetPlay electronic audio games by drawing circuits with conductive inkKeep kitty entertained with a chaotic double pendulum toyAnd more!

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While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations--just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: Learn what machine learning and deep learning are and what they can accomplish Understand how popular learning algorithms work and when to apply them Build machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlow Train and score regression models and binary and multiclass classification models Build facial recognition models and object detection models Build language models that respond to natural-language queries and translate text to other languages Use Cognitive Services to infuse AI into the apps that you write

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Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way

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Designing an API is complicated to begin with, but evolving your API design over time makes the process even more difficult. There are several books on the topic, but none that guide you through key decisions for designing and building APIs for specific audiences and types of products. Well, until now, that is. Using case studies from companies such as Slack, Stripe, Facebook, and Github, this practical guide shows you how to navigate complex decisions when building, scaling, and evolving your own APIs. You’ll learn best practices for designing APIs that developers will love, and discover how to evolve your APIs as your product grows. Developers, architects, tech leads, product managers, and engineering managers will: Examine strategies to expose data through web APIs, using webhooks, websockets, and HTTP Learn how to evolve APIs while keeping them consistent Be able to scale APIs with pagination and rate limiting Handle security, performance, monitoring, and testing Build a thriving ecosystem around your API

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Learn how to design digital circuits with FPGAs (field-programmable gate arrays), the devices that reconfigure themselves to become the very hardware circuits you set out to program. With this practical guide, author Justin Rajewski shows you hands-on how to create FPGA projects, whether you’re a programmer, engineer, product designer, or maker. You’ll quickly go from the basics to designing your own processor. Designing digital circuits used to be a long and costly endeavor that only big companies could pursue. FPGAs make the process much easier, and now they’re affordable enough even for hobbyists. If you’re familiar with electricity and basic electrical components, this book starts simply and progresses through increasingly complex projects. Set up your environment by installing Xilinx ISE and the author’s Mojo IDE Learn how hardware designs are broken into modules, comparable to functions in a software program Create digital hardware designs and learn the basics on how they’ll be implemented by the FPGA Build your projects with Lucid, a beginner-friendly hardware description language, based on Verilog, with syntax similar to C/C++ and Java

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Bad design is everywhere, and its cost is much higher than we think. In this thought-provoking book, authors Jonathan Shariat and Cynthia Savard Saucier explain how poorly designed products can anger, sadden, exclude, and even kill people who use them. The designers responsible certainly didn't intend harm, so what can you do to avoid making similar mistakes?Tragic Design examines real case studies that show how certain design choices adversely affected users, and includes in-depth interviews with authorities in the design industry. Pick up this book and learn how you can be an agent of change in the design community and at your company. You'll explore: Designs that can kill, including the bad interface that doomed a young cancer patient Designs that anger, through impolite technology and dark patterns How design can inadvertently cause emotional pain Designs that exclude people through lack of accessibility, diversity, and justice How to advocate for ethical design when it isn't easy to do so Tools and techniques that can help you avoid harmful design decisions Inspiring professionals who use design to improve our world

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Add life and depth to your web applications and improve user experience through the discrete use of CSS transitions and animations. With this concise guide, you'll learn how to make page elements move or change in appearance, whether you want to realistically bounce a ball, gradually expand a drop-down menu, or simply bring attention to an element when users hover over it. Short and deep, this book is an excerpt from the upcoming fourth edition of CSS: The Definitive Guide. When you purchase either the print or the ebook edition of Transitions and Animations in CSS, you'll receive a discount on the entire Definitive Guide once it's released. Why wait? Learn how to make your web pages come alive today. Understand and learn how to implement Disney's 12 principles of cartoon animation Learn which CSS properties you can animate and use in transitions Apply CSS's four transition properties and nine animation properties to your CSS elements Use CSS keyframe animations to granularly control an element's property values Learn details that will save you hours of debugging and megabytes of unnecessary JavaScript

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This philosophy-of-programming guide provides a unique take on how to think about programming. With a collection of two dozen pragmatic rules, each presented in a standalone chapter, this hands-on book is ideal for freshly minted programmers making the jump from small programming jobs to large-scale projects and long time frame work. Author Chris Zimmerman, cofounder of the video game studio Sucker Punch Productions, teaches basic truths of programming by wrapping them in memorable aphorisms and driving them home with examples drawn from real code. This practical guide also helps managers who are searching for methods to train new members of their programming team. The rules in this book include: Simpler is always better Let your code tell its own story Localize complexity Generalization takes three examples Big projects need simple designs Code that isn't running doesn't work If something doesn't work, it's your fault Work backwards from your result, not forward from your code Some tools should be left in the toolbox Not every problem lends itself to an elegant solution

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Keen to build cloud native applications? Get a rapid, hands-on introduction to OpenShift, the open source container application platform from Red Hat. With this updated edition, you'll learn how to build, deploy, and host a modern, multi-tiered application on OpenShift. OpenShift enables faster momentum for containers, centering on the Kubernetes container orchestrator to automate the way you build, ship, and run applications. Through the course of the book, you'll learn how to use OpenShift and the Quarkus Java Framework to develop and deploy applications using proven enterprise technologies. Learn about OpenShift's core technology, including containers and Kubernetes Use a virtual machine with OpenShift installed and configured on your local computer Deploy existing container images on OpenShift Create and deploy your first application on the OpenShift platform Add language runtime dependencies and connect to a database service managed by Kubernetes Operators Utilize fast iterative development with odo, the OpenShift CLI tool for developers Trigger an automatic rebuild and redeployment when you push changes to a repository Use commands to check and debug your application

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Never has something cried out for a cookbook quite as much as Cisco's Internetwork Operating System (IOS). IOS is powerful and flexible, but also confusing and daunting. Most tasks can be accomplished in several different ways. And you don't want to spend precious time figuring out which way is best when you're trying to solve a problem quickly. That's what this cookbook is for. Fortunately, most router configuration tasks can be broken down into several more or less independent steps: you configure an interface, you configure a routing protocol, you set up backup links, you implement packet filters and other access control mechanisms. What you really need is a set of recipes that show you how to perform the most common tasks, so you can quickly come up with a good configuration for your site. And you need to know that these solutions work: you don't want to find yourself implementing a backup link at 2 A.M. because your main link is down and the backup link you set up when you installed the router wasn't quite right. Thoroughly revised and expanded, "Cisco IOS Cookbook, 2nd Edition" adds sections on MPLS, Security, IPv6, and IP Mobility and presents solutions to the most common configuration problems, including: configuring interfaces of many types, from serial to ATM and Frame Relay; configuring all of the common IP routing protocols (RIP, EIGRP, OSPF, and BGP); configuring authentication; configuring other services, including DHCP and NTP; setting up backup links, and using HSRP to configure backup routers; managing the router, including SNMP and other solutions; and using access lists to control the traffic through the router. If you work with Cisco routers, you need a book like this to help you solve problems quickly and effectively. Even if you're experienced, the solutions and extensive explanations will give you new ideas and insights into router configuration. And if you're not experienced - if you've just been given responsibility for managing a network with Cisco routers - this book could be a job-saver.

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If you understand the basics of HTML5, CSS, and JavaScript and want to make quick sense of the extensive but often overwhelming reference documentation on D3.js, this short book is for you. Philipp K. Janert, author of Data Analysis with Open Source Tools (O’Reilly), provides a concise roadmap to this library, including its conventions and foundational concepts. D3.js for the Impatient is concise, yet comprehensive. Janert presents an overall survey of working with D3.js, while steering clear of long-winded and meandering explanations. Right away, this first chapter shows you how to create simple graphs and tackle two of the library’s more unusual aspects: selecting and binding—the way D3.js uses DOM nodes to represent data visually. From there, you can easily explore individual chapters that adhere to your particular interests.

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Can a system be considered truly reliable if it isn't fundamentally secure? Or can it be considered secure if it's unreliable? Security is crucial to the design and operation of scalable systems in production, as it plays an important part in product quality, performance, and availability. In this book, experts from Google share best practices to help your organization design scalable and reliable systems that are fundamentally secure. Two previous O’Reilly books from Google—Site Reliability Engineering and The Site Reliability Workbook—demonstrated how and why a commitment to the entire service lifecycle enables organizations to successfully build, deploy, monitor, and maintain software systems. In this latest guide, the authors offer insights into system design, implementation, and maintenance from practitioners who specialize in security and reliability. They also discuss how building and adopting their recommended best practices requires a culture that’s supportive of such change. You’ll learn about secure and reliable systems through: Design strategies Recommendations for coding, testing, and debugging practices Strategies to prepare for, respond to, and recover from incidents Cultural best practices that help teams across your organization collaborate effectively

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If you hope to outmaneuver threat actors, speed and efficiency need to be key components of your cybersecurity operations. Mastery of the standard command line interface (CLI) is an invaluable skill in times of crisis because no other software application can match the CLI’s availability, flexibility, and agility. This practical guide shows you how to use the CLI with the bash shell to perform tasks such as data collection and analysis, intrusion detection, reverse engineering, and administration. Authors Paul Troncone, founder of Digadel Corporation, and Carl Albing, coauthor of bash Cookbook (O’Reilly), provide insight into command line tools and techniques to help defensive operators collect data, analyze logs, and monitor networks. Penetration testers will learn how to leverage the enormous amount of functionality built into every version of Linux to enable offensive operations. With this book, security practitioners, administrators, and students will learn how to: Collect and analyze data, including system logs Search for and through files Detect network and host changes Develop a remote access toolkit Format output for reporting Develop scripts to automate tasks

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Software is more important than ever today and yet its commercial value is steadily declining. Microsoft, for instance, has seen its gross margins decrease for a decade, while startups and corporations alike are distributing free software that would have been worth millions a few years ago.Welcome to the software paradox. In this O'Reilly report, RedMonk's Stephen O'Grady explains why the real money no longer lies in software, and what it means for companies that depend on that revenue. You'll learn how this paradox came about and what your company can do in response.This book covers: Why it's growing more difficult to sell software on a standalone basis How software has come full circle, from enabler to product and back again The roles that open source, software-as-a-service, and subscriptions play How software developers have become the new kingmakers Why Microsoft, Apple, and Google epitomize this transition How the paradox has affected other tech giants, such as Oracle and Salesforce.com Strategies your software firm can explore, including alternative revenue models

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Software development today is embracing functional programming (FP), whether it's for writing concurrent programs or for managing Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language. Dean Wampler, Java expert and author of Programming Scala (O'Reilly), shows you how to apply FP principles such as immutability, avoidance of side-effects, and higher-order functions to your Java code. Each chapter provides exercises to help you practice what you've learned. Once you grasp the benefits of functional programming, you'll discover that it improves all of the code you write. * Learn basic FP principles and apply them to object-oriented programming * Discover how FP is more concise and modular than OOP * Get useful FP lessons for your Java type design - such as avoiding nulls * Design data structures and algorithms using functional programming principles * Write concurrent programs using the Actor model and software transactional memory * Use functional libraries and frameworks for Java - and learn where to go next to deepen your functional programming skills

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What exactly is a cloud-native platform? It's certainly a hot topic in IT, as enterprises today assess this option for developing and delivering software quickly and repeatedly. This O'Reilly report explains the capabilities of cloud-native platforms and examines the fundamental changes enterprises need to make in process, organization, and culture if they're to take real advantage of this approach. Author Duncan Winn focuses on the open source platform Cloud Foundry, one of the more prominent cloud-native providers. You'll learn how cloud-native applications are designed to be "infrastructure unaware" so they can thrive and move at will in the highly distributed and constantly evolving cloud environment.With this report, you'll explore: Technical driving forces that are rapidly changing the way organizations develop and deliver software today How key concepts underpinning the Cloud Foundry platform leverage each of the technical forces discussed How cloud-native platforms remove the requirement to perform undifferentiated heavy lifting, such as provisioning VMs, middleware, and databases Why cloud-native platforms enable fast feedback loops as you move from agile development to agile deployment Recommended changes and practical considerations for organizations that want to build cloud-native applications.

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Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what "suspects" you're looking for. This O'Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work. From banking security to natural sciences, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once the Internet of Things spawns even more new types of data. The concepts described in this report will help you tackle anomaly detection in your own project. Use probabilistic models to predict what's normal and contrast that to what you observe Set an adaptive threshold to determine which data falls outside of the normal range, using the t-digest algorithm Establish normal fluctuations in complex systems and signals (such as an EKG) with a more adaptive probablistic model Use historical data to discover anomalies in sporadic event streams, such as web traffic Learn how to use deviations in expected behavior to trigger fraud alerts

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Open Sources 2.0 is a collection of insightful and thought-provoking essays from today's technology leaders that continues painting the evolutionary picture that developed in the 1999 book Open Sources: Voices from the Revolution . These essays explore open source's impact on the software industry and reveal how open source concepts are infiltrating other areas of commerce and society. The essays appeal to a broad audience: the software developer will find thoughtful reflections on practices and methodology from leading open source developers like Jeremy Allison and Ben Laurie, while the business executive will find analyses of business strategies from the likes of Sleepycat co-founder and CEO Michael Olson and Open Source Business Conference founder Matt Asay. From China, Europe, India, and Brazil we get essays that describe the developing world's efforts to join the technology forefront and use open source to take control of its high tech destiny. For anyone with a strong interest in technology trends, these essays are a must-read. The enduring significance of open source goes well beyond high technology, however. At the heart of the new paradigm is network-enabled distributed collaboration: the growing impact of this model on all forms of online collaboration is fundamentally challenging our modern notion of community. What does the future hold? Veteran open source commentators Tim O'Reilly and Doc Searls offer their perspectives, as do leading open source scholars Steven Weber and Sonali Shah. Andrew Hessel traces the migration of open source ideas from computer technology to biotechnology, and Wikipedia co-founder Larry Sanger and Slashdot co-founder Jeff Bates provide frontline views of functioning, flourishing online collaborative communities. The power of collaboration, enabled by the internet and open source software, is changing the world in ways we can only begin to imagine.Open Sources 2.0 further develops the evolutionary picture that emerged in the original Open Sources and expounds on the transformative open source philosophy. "This is a wonderful collection of thoughts and examples by great minds from the free software movement, and is a must have for anyone who follows free software development and project histories." --Robin Monks, Free Software Magazine The list of contributors include * Alolita Sharma * Andrew Hessel * Ben Laurie * Boon-Lock Yeo * Bruno Souza * Chris DiBona * Danese Cooper * Doc Searls * Eugene Kim * Gregorio Robles * Ian Murdock * Jeff Bates * Jeremy Allison * Jesus M. Gonzalez-Barahona * Kim Polese * Larry Sanger * Louisa Liu * Mark Stone * Mark Stone * Matthew N. Asay * Michael Olson * Mitchell Baker * Pamela Jones * Robert Adkins * Russ Nelson * Sonali K. Shah * Stephen R. Walli * Steven Weber * Sunil Saxena * Tim O'Reilly * Wendy Seltzer

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This concise book contains detailed information about Oracle internals -- information that's not readily available to Oracle customers. It lays a foundation for advanced performance tuning of the Oracle database. Based on Oracle8i release 8.1, the book describes many of the secrets of Oracle's internal services: data structures, algorithms, and undocumented Oracle system statistics. Main topics include: Waits - how Oracle processes communicate via semaphores, and how to use the Oracle wait statistics to identify the source of performance problems. Latches - how they keep multiple processes from inspecting protected data structures at the same time, and how to examine and control latch behavior and statistics. Locks - how they work with latches to protect data structures (locks allow multiple sessions to share resources in some cases), and how locks affect performance. There is also a detailed discussion of instance locks, which are used in parallel server environments. Memory - how Oracle uses memory (e.g., the various elements of the System Global Area), and how Oracle dynamically allocates and manages memory. Oracle8i Internal Services is aimed especially at administrators and developers who need detailed internal information to do advanced performance tuning. The book will expand your repertoire of tuning solutions and troubleshooting techniques by explaining how you can use Oracle's hidden parameters and undocumented system statistics to best advantage. NOTE: The author has collected the scripts he has developed for tuning and analysis into a toolkit (known as APT, for Advanced Performance Tuning). These scripts access the Oracle X$ tables directly and provide information not otherwise available. The scripts are available to readers for free from the O'Reilly web site.

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Fundamentally, computers just deal with numbers. They store letters and other characters by assigning a number for each one. At one time, there were hundreds of different encoding systems for assigning these numbers - but that was before Unicode. Unicode enables a single software product or website to be targeted across multiple platforms, languages and countries without re-engineering. It's no wonder that industry giants like Apple, Hewlett-Packard, IBM and Microsoft have all adopted Unicode. Containing everything you need to understand Unicode, this comprehensive reference from O'Reilly takes you on a detailed guide through the complex character world. For starters, it explains how to identify and classify characters - whether they're common, uncommon, or exotic. It then shows you how to type them, utilize their properties, and process character data in a robust manner. The book is broken up into three distinct parts. The first few chapters provide you with a tutorial presentation of Unicode and character data. It gives you a firm grasp of the terminology you need to reference various components, including character sets, fonts and encodings, glyphs and character repertoires. The middle section offers more detailed information about using Unicode and other character codes. It explains the principles and methods of defining character codes, describes some of the widely used codes, and presents code conversion techniques. It also discusses properties of characters, collation and sorting, line breaking rules and Unicode encodings. The final four chapters cover more advanced material, such as characters in HTML and XHTML. You simply can't afford to be without the nuggets of valuable information detailed in "Unicode Explained".

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If you are a network administrator, you're under a lot of pressure to ensure that mission-critical systems are completely safe from malicious code, buffer overflows, stealth port scans, SMB probes, OS fingerprinting attempts, CGI attacks, and other network intruders. Designing a reliable way to detect intruders before they get in is an essential - but often overwhelming - challenge. SNORT, the defacto open source standard of intrusion detection tools, is capable of performing real-time traffic analysis and packet logging on IP network. It can perform protocol analysis, content searching, and matching. SNORT can save countless headaches; the new SNORT Cookbook will save countless hours of sifting through dubious online advice or wordy tutorials in order to leverage the full power of SNORT. Each recipe in the popular and practical problem-solution-discussion O'Reilly cookbook format contains a clear and thorough description of the problem, a concise but complete discussion of a solution, and real-world examples that illustrate that solution. The SNORT Cookbook covers important issues that sys admins and security pros will us everyday, such as: - installation - optimization - logging - alerting - rules and signatures - detecting viruses - countermeasures - detecting common attacks - administration - honeypots - log analysis But the SNORT Cookbook offers far more than quick cut-and-paste solutions to frustrating security issues. Those who learn best in the trenches - and don't have the hours to spare to pore over tutorials or troll online for best-practice snippets of advice - will find that the solutions offered in this ultimate SNORT sourcebook not only solve immediate problems quickly, but also showcase the best tips and tricks they need to master be security gurus - and still have a life.

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It's the solution to almost all of your electronic organization needs. Need to present a detailed expense report? Try an Excel spreadsheet. Keeping track of a complicated budget? Excel to the rescue. Want to keep tabs on your office football pool? You guessed it. Thanks to its incredible versatility and power, Excel has emerged as more than just a mainstream program; it's now one of the most used applications on the planet. Everyone from run-of-the-mill PC users to leading financial analysts count on Excel to make sense of overflowing data. And to keep up with the overwhelming user demand, three different versions of Excel have hit the market since the debut of Excel 97: Excel 97, 2000, 2002, and 2003. Naturally, each version offers a new slate of next-generation upgrades--and, of course, operating bugs! At last, Excel users have some relief: Excel Annoyances emerged from the suggestions of numerous Excel users who've struggled with these irritating bugs over the years. Written in the popular Annoyances format, this latest O'Reilly helper addresses all of the quirks, bugs, inconsistencies, and hidden features found in each of the four versions. Chances are if someone, somewhere, found a certain step confusing, then it's addressed in Excel Annoyances. Author Curtis D. Frye breaks down the cavalcade of information into several tip-of-the-finger categories such as Entering Data, Formatting, Charting, Printing, and more. If you're one of the millions of people who use Excel, you're sure to find a goldmine of helpful nuggets that you can use to fix the program's most annoying traits. In the end, Excel Annoyances will help you to truly maximize Excel's seemingly limitless potential.

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With the advent of Flash Communication Server MX (FCS), Macromedia believes that it's on the edge of a breakthrough in how people think about the Internet. FCS has been designed to provide web developers with the means to add polished interactive audio and video features to their sites, the sort of features that users have come to expect. Naturally, the process of efficiently integrating rich media into applications, web sites, and web content is a complex one, to say the least. That's where Programming Flash Communication Server factors in. As the foremost reference on FCS, it helps readers understand how FCS can facilitate: * Video on demand * Live webcasts * Video chat and messaging * Shared desktop conferences * Live auctions * Interactive whiteboard presentations * Workflow collaboration * Multi-user gamesProgramming Flash Communication Server not only explains how to use the pre-built FCS components to construct a simple application, it also explains the architecture so that developers can program custom components to make even more advanced applications. In addition, the book explains how to truly optimize performance, and talks about considerations for networked applications as well as the media issues pertaining to FCS. Programming Flash Communication Server gives developers a sorely needed leg up on this potentially intimidating technology. It lets users develop cool web applications ranging from direct dating experiences with real-time video, to pre-recorded corporate presentations, to news services with video and audio, and much more. At last, the ability to build web sites with rich interactive features--minus the complex downloads and installation hassles--is a reality. And now, with Programming Flash Communication Server from O'Reilly by your side, you can do more quickly and easily than you ever dreamed possible.

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