Books published by O'Reilly Media

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. Youll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.This pocket reference includes sections that cover:Classification, using the Titanic datasetCleaning data and dealing with missing dataExploratory data analysisCommon preprocessing steps using sample dataSelecting features useful to the modelModel selectionMetrics and classification evaluationRegression examples using k-nearest neighbor, decision trees, boosting, and moreMetrics for regression evaluationClusteringDimensionality reductionScikit-learn pipelines

When you depend on users to perform specific actionslike buying tickets, playing a game, or riding public transitwell-placed words are most effective. But how do you choose the right words? And how do you know if they work? With this practical book, youll learn how to write strategically for UX, using tools to build foundational pieces for UI text and UX voice strategy.UX content strategist Torrey Podmajersky provides strategies for converting, engaging, supporting, and re-attracting users. Youll use frameworks and patterns for content, methods to measure the contents effectiveness, and processes to create the collaboration necessary for success. Youll also structure your voice throughout so that the brand is easily recognizable to its audience.Learn how UX content works with the software development lifecycleUse a framework to align the UX content with product principlesExplore content-first design to root UX text in conversationLearn how UX text patterns work with different voicesProduce text thats purposeful, concise, conversational, and clear

How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newmans extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. Youll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture.Ideal for organizations looking to transition to microservices, rather than rebuildHelps companies determine whether to migrate, when to migrate, and where to beginAddresses communication, integration, and the migration of legacy systemsDiscusses multiple migration patterns and where they applyProvides database migration examples, along with synchronization strategiesExplores application decomposition, including several architectural refactoring patternsDelves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more

With this practical, hands-on book, you'll learn how to do it faster and smarter using Lean UX techniques. UX expert Laura Klein shows you what it takes to gather valuable input from customers, build something they'll truly love, and reduce the time it takes to get your product to market.

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills.

Google's Site Reliability Engineering book ignited an industry discussion on what it means to run production services today. Now, Google engineers who worked on that bestseller introduce The Site Reliability Workbook, a hands-on companion that uses concrete examples to show you how to put SRE principles and practices to work in your environment.

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

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles.

The overwhelming majority of a software systems lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?In this collection of essays and articles, key members of Googles Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. Youll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficientlessons directly applicable to your organization.This book is divided into four sections:IntroductionLearn what site reliability engineering is and why it differs from conventional IT industry practicesPrinciplesExamine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)PracticesUnderstand the theory and practice of an SREs day-to-day work: building and operating large distributed computing systemsManagementExplore Google's best practices for training, communication, and meetings that your organization can use

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.

In todays lightning-fast technology world, good product management is critical to maintaining a competitive advantage. Yet, managing human beings and navigating complex product roadmaps is no easy task, and its rare to find a product leader who can steward a digital product from concept to launch without a couple of major hiccups. Why do some product leaders succeed while others dont?This insightful book presents interviews with nearly 100 leading product managers from all over the world. Authors Richard Banfield, Martin Eriksson, and Nate Walkingshaw draw on decades of experience in product design and development to capture the approaches, styles, insights, and techniques of successful product managers. If you want to understand what drives good product leaders, this book is an irreplaceable resource.In three parts, Product Leadership helps you explore:Themes and patterns of successful teams and their leaders, and ways to attain those characteristicsBest approaches for guiding your product team through the startup, emerging, and enterprise stages of a companys evolutionStrategies and tactics for working with customers, agencies, partners, and external stakeholders

Coming to grips with C++11 and C++14 is more than a matter of familiarizing yourself with the features they introduce (e.g., auto type declarations, move semantics, lambda expressions, and concurrency support). The challenge is learning to use those features effectivelyso that your software is correct, efficient, maintainable, and portable. Thats where this practical book comes in. It describes how to write truly great software using C++11 and C++14i.e. using modern C++.Topics include:The pros and cons of braced initialization, noexcept specifications, perfect forwarding, and smart pointer make functionsThe relationships among std::move, std::forward, rvalue references, and universal referencesTechniques for writing clear, correct, effective lambda expressionsHow std::atomic differs from volatile, how each should be used, and how they relate to C++'s concurrency APIHow best practices in "e;old"e; C++ programming (i.e., C++98) require revision for software development in modern C++Effective Modern C++ follows the proven guideline-based, example-driven format of Scott Meyers' earlier books, but covers entirely new material."e;After I learned the C++ basics, I then learned how to use C++ in production code from Meyer's series of Effective C++ books. Effective Modern C++ is the most important how-to book for advice on key guidelines, styles, and idioms to use modern C++ effectively and well. Don't own it yet? Buy this one. Now"e;.-- Herb Sutter, Chair of ISO C++ Standards Committee and C++ Software Architect at Microsoft

Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. Youll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need.Written by Mark Lutzwidely recognized as the worlds leading Python trainerPython Pocket Reference is an ideal companion to OReillys classic Python tutorials, Learning Python and Programming Python, also written by Mark.This fifth edition covers:Built-in object types, including numbers, lists, dictionaries, and moreStatements and syntax for creating and processing objectsFunctions and modules for structuring and reusing codePythons object-oriented programming toolsBuilt-in functions, exceptions, and attributesSpecial operator overloading methodsWidely used standard library modules and extensionsCommand-line options and development toolsPython idioms and hintsThe Python SQL Database API

Networked thermostats, fitness monitors, and door locks show that the Internet of Things can (and will) enable new ways for people to interact with the world around them. But designing connected products for consumers brings new challenges beyond conventional software UI and interaction design.This book provides experienced UX designers and technologists with a clear and practical roadmap for approaching consumer product strategy and design in this novel market. By drawing on the best of current design practice and academic research, Designing Connected Products delivers sound advice for working with cross-device interactions and the complex ecosystems inherent in IoT technology.

Tired of reading HTML books that only make sense after you're an expert? Then it's about time you picked up Head First HTML and really learned HTML. You want to learn HTML so you can finally create those web pages you've always wanted, so you can communicate more effectively with friends, family, fans, and fanatic customers. You also want to do it right so you can actually maintain and expand your web pages over time so they work in all browsers and mobile devices. Oh, and if you've never heard of CSS, that's okay--we won't tell anyone you're still partying like it's 1999--but if you're going to create web pages in the 21st century then you'll want to know and understand CSS.Learn the real secrets of creating web pages, and why everything your boss told you about HTML tables is probably wrong (and what to do instead). Most importantly, hold your own with your co-worker (and impress cocktail party guests) when he casually mentions how his HTML is now strict, and his CSS is in an external style sheet.With Head First HTML, you'll avoid the embarrassment of thinking web-safe colors still matter, and the foolishness of slipping a font tag into your pages. Best of all, you'll learn HTML and CSS in a way that won't put you to sleep. If you've read a Head First book, you know what to expect: a visually-rich format designed for the way your brain works. Using the latest research in neurobiology, cognitive science, and learning theory, this book will load HTML and CSS into your brain in a way that sticks.So what are you waiting for? Leave those other dusty books behind and come join us in Webville. Your tour is about to begin.

The popularity of REST in recent years has led to tremendous growth in almost-RESTful APIs that dont include many of the architectures benefits. With this practical guide, youll learn what it takes to design usable REST APIs that evolve over time. By focusing on solutions that cross a variety of domains, this book shows you how to create powerful and secure applications, using the tools designed for the worlds most successful distributed computing system: the World Wide Web.Youll explore the concepts behind REST, learn different strategies for creating hypermedia-based APIs, and then put everything together with a step-by-step guide to designing a RESTful Web API.Examine API design strategies, including the collection pattern and pure hypermediaUnderstand how hypermedia ties representations together into a coherent APIDiscover how XMDP and ALPS profile formats can help you meet the Web API "e;semantic challenge"e;Learn close to two-dozen standardized hypermedia data formatsApply best practices for using HTTP in API implementationsCreate Web APIs with the JSON-LD standard and other the Linked Data approachesUnderstand the CoAP protocol for using REST in embedded systems

More physicists today are taking on the role of software developer as part of their research, but software development isnt always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field.Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. Youll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results.In four parts, this book includes:Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objectsGetting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying softwareGetting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your codeGetting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

Tap into the wisdom of experts to learn what every programmer should know, no matter what language you use. With the 97 short and extremely useful tips for programmers in this book, you'll expand your skills by adopting new approaches to old problems, learning appropriate best practices, and honing your craft through sound advice.With contributions from some of the most experienced and respected practitioners in the industry--including Michael Feathers, Pete Goodliffe, Diomidis Spinellis, Cay Horstmann, Verity Stob, and many more--this book contains practical knowledge and principles that you can apply to all kinds of projects.A few of the 97 things you should know:"e;Code in the Language of the Domain"e; by Dan North"e;Write Tests for People"e; by Gerard Meszaros"e;Convenience Is Not an -ility"e; by Gregor Hohpe"e;Know Your IDE"e; by Heinz Kabutz"e;A Message to the Future"e; by Linda Rising"e;The Boy Scout Rule"e; by Robert C. Martin (Uncle Bob)"e;Beware the Share"e; by Udi Dahan

Offers an explanation of the features that make JavaScript an object-oriented programming language, and warns you about the bad parts. This book defines a subset of JavaScript that's readable and maintainable than the language. It offers ideas that include functions, loose typing, dynamic objects, and an expressive object literal notation.

Explains how to set up and use a home chemistry lab, with step-by-step instructions for conducting experiments in basic chemistry. This book shows how to do real lab work: purify alcohol by distillation; produce hydrogen and oxygen gas by electrolysis; smelt metallic copper from copper ore you make yourself; and much more.

Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript librariesincluding Scrapy, Matplotlib, Pandas, Flask, and D3for crafting engaging, browser-based visualizations.As a working example, throughout the book Dale walks you through transforming Wikipedias table-based list of Nobel Prize winners into an interactive visualization. Youll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScripts D3 library. If youre ready to create your own web-based data visualizationsand know either Python or JavaScript this is the book for you.Learn how to manipulate data with PythonUnderstand the commonalities between Python and JavaScriptExtract information from websites by using Pythons web-scraping tools, BeautifulSoup and ScrapyClean and explore data with Pythons Pandas, Matplotlib, and Numpy librariesServe data and create RESTful web APIs with Pythons Flask frameworkCreate engaging, interactive web visualizations with JavaScripts D3 library

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'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through 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'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.This book will help you:Get a concise overview of the entire data engineering landscapeAssess data engineering problems using an end-to-end framework of best practicesCut through marketing hype when choosing data technologies, architecture, and processesUse the data engineering lifecycle to design and build a robust architectureIncorporate data governance and security across the data engineering lifecycle

If you're an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.

If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics.

Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away. You'll learn why Scala is ideal for building today's highly scalable, data-centric applications, while maximizing developer productivity.

Go is rapidly becoming the preferred language for building web services. While there are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages, tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go.No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. You'll also get a preview of Go's upcoming generics support and how it fits into the language.Learn how to write idiomatic code in Go and design a Go projectUnderstand the reasons for the design decisions in GoSet up a Go development environment for a solo developer or teamLearn how and when to use reflection, unsafe, and cgoDiscover how Go's features allow the language to run efficientlyKnow which Go features you should use sparingly or not at all

The Lightning Network (LN) is a rapidly growing second-layer payment protocol that works on top of Bitcoin to provide near-instantaneous transactions between two parties. With this practical guide, authors Andreas M. Antonopoulos, Olaoluwa Osuntokun, and Rene Pickhardt explain how this advancement will enable the next level of scale for Bitcoin, increasing speed and privacy while reducing fees.Ideal for developers, systems architects, investors, and entrepreneurs looking to gain a better understanding of LN, this book demonstrates why experts consider LN a critical solution to Bitcoin's scalability problem. You'll learn how LN has the potential to support far more transactions than today's financial networks.This book examines:How the Lightning Network addresses the challenge of blockchain scalingThe Basis of Lightning Technology (BOLT) standards documentsThe five layers of the Lightning Network Protocol SuiteLN basics, including wallets, nodes, and how to operate oneLightning payment channels, onion routing, and gossip protocolFinding paths across payment channels to transport Bitcoin off-chain from sender to recipient