Search results for ""O'Reilly Media""

Networking and Kubernetes is an essential guide for anyone who wants to deploy, manage, or troubleshoot a production scale Kubernetes network. Understanding Kubernetes clusters is not enough to operate Kubernetes at scale. Every layer of the stack--the network, operating system, and Kubernetes--depends on the layer below. Successful administrators need to understand each layer and how it works across deployments on-prim, in the cloud, and with managed services. Networking and Kubernetes clearly guides administrators through the layers of complexity and abstraction that come with running a Kubernetes network. It covers: The Kubernetes networking model The CNCF Container Network Interface Project and how to choose the best interface for your clusters The networking and Linux primitives that power Kubernetes How to quickly troubleshoot networking issues and prevent downtime Cloud networking and Kubernetes with the three major providers: AWS, GCP, and Azure The pros and cons of various network tools--and how to select the best ones for your stack

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Among the text editors being used in the programming community, perhaps the most important family is vi and its derivatives. With this updated edition, Unix and Linux users will learn text editing basics for both vi and Vim ("vi improved") before moving on to advanced editing tools for each editor. Authors Arnold Robbins and Elbert Hannah cover the latest major releases of Vim, including 8.0 and 8.2. If you're a programmer or computer analyst, or you work with browsers or command-line interfaces, using Vim can speed up your work and make complex tasks easier. You'll examine multiwindow editing, global search and replacement, and power tools for programmers, and learn how to write interactive macros and scripts to extend the editor--all in the easy-to-follow style that's made this book a classic. Go beyond the basics to learn which vi commands fit your specific needs Learn advanced vi tools that shift most of the editing burden to the computer Explore Vim tools that provide major improvements over vi Examine Vim's multiwindow editing feature, a significant upgrade over vi Use Vim scripts to customize and tailor Vim to your needs Look at Vim in modern GUI environments with Graphical Vim (gvim) See Vim in the broader programming milieu, including using it as an IDE

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With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level up your skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with Amazon SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, and more Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

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This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux. You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on text, CSV, HTM, XML, and JSON files Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow Create reusable command-line tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines Model data with dimensionality reduction, clustering, regression, and classification algorithms

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For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin’s popular blog, Preppin’ Data, this practical guide takes you step-by-step through Tableau Prep’s fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information. Know what to look for when you prepare data Learn which Tableau Prep functions to use when working with data fields Analyze the shape and profile of your dataset Output data for analysis and learn how Tableau Prep automates your workflow Learn how to clean your dataset using Tableau Prep functions Explore ways to use Tableau Prep techniques in real-world scenarios Make your data available to others by managing and documenting the output

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With over 75 million downloads per month, Spring Boot is the most widely used Java framework available. Its ease and power have revolutionized application development from monoliths to microservices. Yet Spring Boot's simplicity can also be confounding. How do developers learn enough to be productive immediately? This practical book shows you how to use this framework to write successful mission-critical applications. Mark Heckler from VMware, the company behind Spring, guides you through Spring Boot's architecture and approach, covering topics such as debugging, testing, and deployment. If you want to develop cloud native Java or Kotlin applications with Spring Boot rapidly and effectively (using reactive programming, building APIs, and creating database access of all kinds) this book is for you. Learn how Spring Boot simplifies cloud native application development and deployment Build reactive applications and extend communication across the network boundary to create distributed systems Understand how Spring Boot's architecture and approach increase developer productivity and application portability Deploy Spring Boot applications for production workloads rapidly and reliably Monitor application and system health for optimal performance and reliability Debug, test, and secure cloud-based applications painlessly

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Apple gives macOS new features and improvements right on your desktop and under the hood with Catalina—aka OS X 10.15. With this updated guide, you’ll learn how to use your iPad as a second screen, work with iPad apps on your Mac, and use Screen Time on your Mac. This new edition of the #1 bestselling Mac book shows you how to use the revamped apps for Music, Podcasts, and TV. Loaded with illustrations, step-by-step instructions, tips, and tricks, this book from David Pogue—Missing Manual series creator, New York Times columnist, and Emmy-winning tech correspondent for CNBC, CBS, and NPR—covers everything Catalina has to offer with lots of humor and technical insight.

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If you’re among the Python developers put off by asyncio’s complexity, it’s time to take another look. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework and end-user developers. The features you need to consider are a small subset of the whole asyncio API, but picking out the right features is the tricky part. That’s where this practical book comes in. Veteran Python developer Caleb Hattingh helps you gain a basic understanding of asyncio’s building blocks—enough to get started writing simple event-based programs. You’ll learn why asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simple way to support thousands of simultaneous socket connections. Get a critical comparison of asyncio and threading for concurrent network programming Take an asyncio walk-through, including a quickstart guide for hitting the ground looping with event-based programming Learn the difference between asyncio features for end-user developers and those for framework developers Understand asyncio’s new async/await language syntax, including coroutines and task and future APIs Get detailed case studies (with code) of some popular asyncio-compatible third-party libraries

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Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Topics include: The Importance of Data Lineage - Julien Le Dem Data Security for Data Engineers - Katharine Jarmul The Two Types of Data Engineering and Data Engineers - Jesse Anderson Six Dimensions for Picking an Analytical Data Warehouse - Gleb Mezhanskiy The End of ETL as We Know It - Paul Singman Building a Career as a Data Engineer - Vijay Kiran Modern Metadata for the Modern Data Stack - Prukalpa Sankar Your Data Tests Failed! Now What? - Sam Bail

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Learn how to build a real-world serverless application in the cloud that's reliable, secure, maintainable, and scalable. If you have experience building web applications on traditional infrastructure, this hands-on guide shows you how to get started with Cloud Run, a container-based serverless product on Google Cloud. Through the course of this book, you'll learn how to deploy several example applications that highlight different parts of the serverless stack on Google Cloud. Combining practical examples with fundamentals, this book will appeal to developers who are early in their learning journey as well as experienced practitioners. Build a serverless application with Google Cloud Run Learn approaches for building containers with (and without) Docker Explore Google Cloud's managed relational database: Cloud SQL Use HTTP sessions to make every user's experience unique Explore identity and access management (IAM) on Cloud Run Provision Google Cloud resources using Terraform Learn how to handle background task scheduling on Cloud Run Move your service from Cloud Run to Knative Serving with little effort

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Whether your company is considering serverless computing or has already made the decision to adopt this model, this practical book is for you. Author Jason Katzer shows early- and mid-career developers what's required to build and ship maintainable and scalable services using this model. With this book, you'll learn how to build a modern production system in the cloud, viewed through the lens of serverless computing. You'll discover how serverless can free you from the tedious task of setting up and maintaining systems in production. You'll also explore new ways to level up your career and design, develop, and deploy with confidence. In three parts, this book includes: The Path to Production: Examine the ins and outs of distributed systems, microservices, interfaces, and serverless architecture and patterns The Tools: Dive into monitoring, observability and alerting, logging, pipelines, automation, and deployment Concepts: Learn how to design security and privacy, how to manage quality through testing and staging, and how to plan for failure

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Early system administration required in-depth knowledge of a variety of services on individual systems. Now, the job is increasingly complex and different from one company to the next with an ever-growing list of technologies and third-party services to integrate. How does any one individual stay relevant in systems and services? This practical guide helps anyone in operations -sysadmins, automation engineers, IT professionals, and site reliability engineers - understand the essential concepts of the role today. Collaboration, automation, and the evolution of systems change the fundamentals of operations work. No matter where you are in your journey, this book provides you the information to craft your path to advancing essential system administration skills. Author Jennifer Davis provides examples of modern practices and tools with recommended materials to advance your skills. Topics include: Development and testing: Version control, fundamentals of virtualization and containers, testing, and architecture review Deploying and configuring services: Infrastructure management, networks, security, storage, serverless, and release management Scaling administration: Monitoring and observability, capacity planning, log management and analysis, and security and compliance

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Every day, thousands of passionate developers come up with new startup ideas but lack the branding know-how to make them thrive. If you count yourself among them, Lean Branding is here to help. This practical toolkit helps you build your own robust, dynamic brands that generate conversion. You’ll find over 100 DIY branding tactics and inspiring case studies, and step-by-step instructions for building and measuring 25 essential brand strategy ingredients, from logo design to demo-day pitches, using The Lean Startup methodology’s Build-Measure-Learn loop. Learn exactly what a brand is—and what it isn’t Build a minimal set of brand ingredients that are viable in the marketplace: brand story, brand symbols, and brand strategy Measure your brand ingredients by using meaningful metrics to see if they meet your conversion goals Pivot your brand ingredients in new directions based on what you’ve learned—by optimizing rather than trashing Focus specifically on brand story, symbols, or strategy by following the Build-Measure-Learn chapters that apply

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Get professionally developed and curated recipes for 20 of the most common tasks for functionality in modern native iOS and Android applications. With this practical book, developers can use an easily translatable set of instructions for completing routine functionality in both platforms in a way that follows best practices. Authors Shaun Lewis and Mike Dunn provide step-by-step direction to help you create a fully-functional application using modern practices and designs that will utilize those tasks. The development of the apps will be laid out side-by-side, so that the friction usually involved in switching between platforms while developing is greatly reduced. By the end of this book, you’ll have developed apps for both iOS and Android with exactly the same core features, as well as some additional features that are relevant and unique to each app’s operating system.

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Digital product research doesn't have to be difficult, take a long time, or cost a lot of money. Nor should it be a job solely for scientists or expert researchers. In this practical book, Aras Bilgen, C. Todd Lombardo, and Michael Connors demonstrate how your entire team can conduct effective product research within a couple of weeks--easily, cheaply, and without compromising quality. Drawing from decades of experience in product development, the authors lay out nine simple rules that combine user research, market research, and product analytics to quickly discover insights and build products customers truly need. Recognize and avoid common research pitfalls Switch to the insight-making mindset that underlies all successful research efforts Find out how to look at data, formulate the right questions, and pick the right research method Learn interview techniques and research skills Analyze for insights collaboratively while avoiding bias Inspire action with your insights through powerful presentations and prototypes Learn how to involve a wide variety of stakeholders in research, from developers to executives Discover how you can make research a habit, not a one-off effort

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If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies

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Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they’re used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. You’ll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today’s data Understand how popular graph algorithms work and how they’re applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark

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Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data

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Ready to dive into smart contract development for the blockchain? With this practical guide, experienced engineers and beginners alike will quickly learn the entire process for building smart contracts for Ethereum—the open source blockchain-based distributed computing platform. You’ll get up to speed with the fundamentals and quickly move into builder mode. Kevin Solorio, Randall Kanna, and Dave Hoover show you how to create and test your own smart contract, create a frontend for users to interact with, and more. It’s the perfect resource for people who want to break into the smart contract field but don’t know where to start. In four parts, this book helps you: Explore smart contract fundamentals, including the Ethereum protocol, Solidity programming language, and the Ethereum Virtual Machine Dive into smart contract development using Solidity and gain experience with Truffle framework tools for deploying and testing your contracts Use Web3 to connect your smart contracts to an application so users can easily interact with the blockchain Examine smart contract security along with free online resources for smart contract security auditing

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Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster. In this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool. Data scientists today spend about 80% of their time just gathering and cleaning data. With this book, you’ll learn how Drill helps you analyze data more effectively to drive down time to insight. Use Drill to clean, prepare, and summarize delimited data for further analysis Query file types including logfiles, Parquet, JSON, and other complex formats Query Hadoop, relational databases, MongoDB, and Kafka with standard SQL Connect to Drill programmatically using a variety of languages Use Drill even with challenging or ambiguous file formats Perform sophisticated analysis by extending Drill’s functionality with user-defined functions Facilitate data analysis for network security, image metadata, and machine learning

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Despite popular forays into augmented and virtual reality in recent years, spatial computing still sits on the cusp of mainstream use. Developers, artists, and designers looking to enter this field today have few places to turn for expert guidance. In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills. Through step-by-step tutorials, you’ll learn how to build practical applications and experiences grounded in theory and backed by industry use cases. In each section of the book, industry specialists, including Timoni West, Victor Prisacariu, and Nicolas Meuleau, join the authors to explain the technology behind spatial computing. In three parts, this book covers: Art and design: Explore spatial computing and design interactions, human-centered interaction and sensory design, and content creation tools for digital art Technical development: Examine differences between ARKit, ARCore, and spatial mapping-based systems; learn approaches to cross-platform development on head-mounted displays Use cases: Learn how data and machine learning visualization and AI work in spatial computing, training, sports, health, and other enterprise applications

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The introduction of functional programming concepts in Java SE 8 was a drastic change for this venerable object-oriented language. Lambda expressions, method references, and streams fundamentally changed the idioms of the language, and many developers have been trying to catch up ever since. This cookbook will help. With more than 70 detailed recipes, author Ken Kousen shows you how to use the newest features of Java to solve a wide range of problems. For developers comfortable with previous Java versions, this guide covers nearly all of Java SE 8, and includes a chapter focused on changes coming in Java 9. Need to understand how functional idioms will change the way you write code? This cookbook—chock full of use cases—is for you. Recipes cover: The basics of lambda expressions and method references Interfaces in the java.util.function package Stream operations for transforming and filtering data Comparators and Collectors for sorting and converting streaming data Combining lambdas, method references, and streams Creating instances and extract values from Java’s Optional type New I/O capabilities that support functional streams The Date-Time API that replaces the legacy Date and Calendar classes Mechanisms for experimenting with concurrency and parallelism

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How often do you hear people say things like this? "Our JavaScript is a mess, but we're thinking about using [framework of the month]." Like it or not, JavaScript is not going away. No matter what framework or "compiles-to-js" language or library you use, bugs and performance concerns will always be an issue if the underlying quality of your JavaScript is poor. Rewrites, including porting to the framework of the month, are terribly expensive and unpredictable. The bugs won't magically go away, and can happily reproduce themselves in a new context. To complicate things further, features will get dropped, at least temporarily. The other popular method of fixing your JS is playing "JavaScript Jenga," where each developer slowly and carefully takes their best guess at how the out-of-control system can be altered to allow for new features, hoping that this doesn't bring the whole stack of blocks down. This book provides clear guidance on how best to avoid these pathological approaches to writing JavaScript: Recognize you have a problem with your JavaScript quality. Forgive the code you have now, and the developers who made it. Learn repeatable, memorable, and time-saving refactoring techniques. Apply these techniques as you work, fixing things along the way. Internalize these techniques, and avoid writing as much problematic code to begin with. Bad code doesn't have to stay that way. And making it better doesn't have to be intimidating or unreasonably expensive.

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What can your organization gain by adopting HTTP/2? How about faster, simpler, and more robust websites and applications? This practical guide demonstrates how the latest version of the Hypertext Transfer Protocol can dramatically improve website and application performance. You'll take a deep dive into HTTP/2 details, and learn how this updated protocol is changing the web landscape. HTTP/1.1 has been the primary means of communicating data across the web for the past 20 years, but the level of interaction today has gone well beyond what people envisioned in 1997. With this book, authors Stephen Ludin and Javier Garza show you how HTTP/2 will help speed the execution of modern sites and applications. With this book, you'll explore: Performance challenges that led to the HTTP upgrade HTTP/2 in a nutshell, including benefits and transition methods Existing best practices and hacks to improve web performance HTTP/2 support for browsers, servers, proxies, and content delivery networks How the performance of sites using HTTP/2 compares to their HTTP/1.1 experience HTTP/2's effect on specific issues such as latency, packet loss, and Time to First Byte (TTFB)

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More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm.Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases.Ideal for developers and non-technical people alike, this book describes: Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layerNew messaging technologies, including Apache Kafka and MapR Streams, with links to sample codeTechnology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm, and Apache ApexHow stream-based architectures are helpful to support microservicesSpecific use cases such as fraud detection and geo-distributed data streamsTed Dunning is Chief Applications Architect at MapR Technologies, and active in the open source community. He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. Ted is on Twitter as @ted_dunning.Ellen Friedman, a committer for the Apache Drill and Apache Mahout projects, is a solutions consultant and well-known speaker and author, currently writing mainly about big data topics. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics. Ellen is on Twitter as @Ellen_Friedman."

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Tackle two aspects of JavaScript development, modularity and ECMAScript 6 (ES6). With this practical guide, frontend and backend Node.js developers alike will learn how to scale out JavaScript applications by breaking codebases into smaller modules. Author Nicolas Bevacqua also covers features in ES6--the latest version of the specification that includes JavaScript--that support modularization. If you're a frontend developer or backend Node.js developer with a working knowledge of JavaScript, this book is for you. It's ideal for semi-senior developers, senior developers, technical leaders, and software architects.

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Can drinking coffee help people live longer? What makes a stock's price go up? Why did you get the flu? Causal questions like these arise on a regular basis, but most people likely have not thought deeply about how to answer them. This book helps you think about causality in a structured way: What is a cause, what are causes good for, and what is compelling evidence of causality? Author Samantha Kleinberg shows you how to develop a set of tools for thinking more critically about causes. You'll learn how to question claims, identify causes, make decisions based on causal information, and verify causes through further tests. Whether it's figuring out what data you need, or understanding that the way you collect and prepare data affects the conclusions you can draw from it, Why will help you sharpen your causal inference skills.

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Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques

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If you're among the many hobbyists and designers who came to electronics through Arduino and Raspberry Pi, this cookbook will help you learn and apply the basics of electrical engineering without the need for an EE degree. Through a series of practical recipes, you'll learn how to solve specific problems while diving into as much or as little theory as you're comfortable with. Author Simon Monk (Raspberry Pi Cookbook) breaks down this complex subject into several topics, from using the right transistor to building and testing projects and prototypes. With this book, you can quickly search electronics topics and go straight to the recipe you need. It also serves as an ideal reference for experienced electronics makers. This cookbook includes: Theoretical concepts such as Ohm's law and the relationship between power, voltage, and current The fundamental use of resistors, capacitors and inductors, diodes, transistors and integrated circuits, and switches and relays Recipes on power, sensors and motors, integrated circuits, and radio frequency for designing electronic circuits and devices Advice on using Arduino and Raspberry Pi in electronics projects How to build and use tools, including multimeters, oscilloscopes, simulations software, and unsoldered prototypes

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If you want to push your Java skills to the next level, this book provides expert advice from Java leaders and practitioners. You'll be encouraged to look at problems in new ways, take broader responsibility for your work, stretch yourself by learning new techniques, and become as good at the entire craft of development as you possibly can Edited by Kevlin Henney and Trisha Gee, 97 Things Every Java Programmer Should Know reflects lifetimes of experience writing Java software and living with the process of software development. Great programmers share their collected wisdom to help you rethink Java practices, whether working with legacy code or incorporating changes since Java 8 A few of the 97 things you should know: "Behavior Is Easy, State Is Hard"-Edson Yanaga "Learn Java Idioms and Cache in Your Brain"-Jeanne Boyarsky "Java Programming from a JVM Performance Perspective"-Monica Beckwith "Garbage Collection Is Your Friend"-Holly K Cummins "Java's Unspeakable Types"-Ben Evans "The Rebirth of Java"-Sander Mak "Do You Know What Time It Is?"-Christin Gorman

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Dreamweaver CC is a powerful tool for designing all kinds of websites, from those with simple, static pages to interactive, media-driven sites for desktop, laptop, and mobile devices. But the program still doesn't include a printed guide to its amazing capabilities. That's where this Missing Manual comes in. With hands-on tutorials and coverage of every feature, you'll learn to build, deploy, and manage sites whether you're an experienced designer or just getting started. The important stuff you need to know: Dive into page design. Quickly learn the basics of working with text, images, links, and tables. Edit pages in Live view. Dynamically add elements to live pages and immediately see the results. Design once, and for all. Build fluid-grid sites that adapt themselves to desktop, tablet, and mobile devices. Troubleshoot your HTML. Use the new Element Quick View to reveal the hierarchy of page elements. Style with ease. Tap Dreamweaver's enhanced CSS Designer to copy and paste styles. Enhance Dreamweaver. Get new program features with add-ons that integrate directly with Dreamweaver. Bring your pages to life. Use jQuery UI to add interactive page elements like tabbed content panels. Create universal pages. Avoid browser incompatibility with workarounds.

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Take advantage of Chef's highly customizable design to tackle specific automation issues that you can't solve by simply using Chef's tools, resources, and services out of the box. With this practical guide, you'll examine the internal structure of this configuration management technology and learn where, how, and why to add custom code. Author Jon Cowie not only provides code snippets and practical advice for customizing Chef, but also helps you determine case by case whether it's in your best interests to customize at all. If you have intermediate-to-advanced Chef experience, this book is indispensable. * Explore Chef's typical setups and why you'd want to customize them* Learn the Ruby concepts needed to write customizations* Customize the Chef run process and explore Chef's internal classes* Gain more insight into your Chef runs through handlers and Chef's event stream* Level up your Chef recipes by writing your own resources and providers* Create and extend plugins for Knife--Chef's command-line tool* Interact with the Chef API to write scripts and reports* Learn how to contribute customizations to the Chef community

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Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for worse. Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you'll find out how far data science reaches. With this anthology, you'll learn how: Analysts can now get results from their data queries in near real time Indie manufacturers are blurring the lines between hardware and software Companies try to balance their desire for rapid innovation with the need to tighten data security Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center CIOs have gradually evolved from order takers to business innovators New analytics tools let businesses go beyond data analysis and straight to decision-making Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.

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Packed with practical advice, this hands-on guide provides valuable information you need to most effectively optimize and manage the XenServer open source virtualization platform. Whether you run a modest installation of a few blades or multiple global enterprise datacenters, this book focuses on the most critical issues you're likely to encounter when designing a XenServer deployment and helps you handle day-to-day management tasks. Tim Mackey and J.K. Benedict from Citrix Systems, the company that manages XenServer, show you how to design a deployment through best practices, deployment blueprints, and installation guidelines. The book's second part features concise, easy-to-implement recipes for day-to-day management, such as user rights, backup strategies, and hardware maintenance. Learn precisely what makes a XenServer work, and how it can host 1000 virtual machines Explore the core components of a production XenServer environment Investigate several options on how and where to install XenServer Examine several factors for "right sizing" your XenServer deployment to fit your needs Work with a decision tree to optimize your XenServer deployment design Understand how to accommodate guest VM virtualization modes Use recipes that help you plan for, obtain, and apply XenServer upgrades

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The Grid Layout spec will soon change your approach to website design, but there will still be plenty of uses for CSS positioning tricks. Whether you want to create sidebars that remain in the viewport (browser window), add sticky section headings to lists or long articles, or overlap one element with another, this concise ebook will expertly guide you through all the main CSS positioning types. 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 Positioning in CSS, you'll receive a discount on the entire Definitive Guide once it's released. Why wait? Make your web pages come alive today. You'll learn how to: Remove an element from a document but keep its new position part of the document's flow with absolute positioning Keep an element like a masthead or sidebar in one fixed position in the viewport with fixed positioning Preserve an element's shape and the space it occupied in the document with relative positioning Make a document's headers selectively stay still in response to scrolling conditions with sticky positioning Eric A. Meyer is an author, speaker, blogger, sometime teacher, and co-founder of An Event Apart. He's a two-decade veteran of the Web and web standards, a past member of the W3C's Cascading Style Sheets Working Group, and the author of O'Reilly's CSS: The Definitive Guide.

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BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You'll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that's interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We'd like BioCoder to become self supporting (maybe even profitable), but we'll worry about that after we've got a few issues under our belt.

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While flowing text around images is certainly nothing new, with CSS you can float any element, from images to paragraphs to lists. In this practical guide, author Eric Meyer reveals some interesting-and surprising-ways to use CSS floats in your web design, including the latest capability to flow content past non-rectangular float shapes. Short and sweet, 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 CSS Floating, you'll receive a discount on the entire Definitive Guide once it's released. Why wait? Learn how to bring life to your web pages now. Learn the characteristics of floated elements, and CSS rules for using them Be aware of certain rule exceptions when applying floats to your design, including the use of negative margins Use the clear property to prevent floats from affecting elements in the next section of the document Create floating boxes in non-rectangular shapes, including rounded corners, circles, ellipses, and even polygons Define float shapes with transparent or opaque images

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Most developers would agree that writing automated tests is a good idea, but writing good, well-structured tests is still an elusive skill for many. For Java and Groovy developers, however, there's good news. This practical guide shows you how to write concise and highly readable tests with Spock, the most innovative testing and specification framework for the JVM since JUnit. Author Rob Fletcher takes you from Spock basics to advanced topics, using fully worked integration examples. Through the course of this book, you'll build a simple web application-Squawker-that allows users to post short messages. You'll discover how much easier it is to write automated tests with Spock's straightforward and expressive language. Start by learning how to write simple unit tests Understand the lifecycle of Spock specifications and feature methods Dive into interaction testing, using Spock's intuitive syntax for dealing with mocks and stubs Learn about parameterized tests-writing feature methods that run for multiple sets of data Move into advanced topics, such as writing idiomatic Spock code and driving parameterized tests with file or database input Learn how everything works together in a standalone, fully-worked, test-driven development example

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Discover how easy it is to design and build responsive, cross-platform apps with the Enyo open source JavaScript framework. With this revised and expanded edition, Enyo contributor Roy Sutton gets you started with the framework's core object-oriented features, including its modular design, reusable and extensible components, layout and widget libraries, easy-to-use deployment options, and support for HTML5 standards. You'll also delve into Enyo's latest features, including models, collections, data binding, and computed properties. Before you know it, you'll be writing native-quality, data-driven apps that work equally well on smartphones, tablets, and desktops. Are you familiar with HTML, CSS, or JavaScript? Then you're ready for Enyo. Build a sample project to get the feel of Enyo right away Learn Enyo's component building blocks, or "kinds" Design compelling and responsive apps with Enyo's layout library Build unique user interfaces with the Onyx library and widget set Find and share reusable components in the community gallery Explore the Moonstone Smart TV UI library Tackle debugging, performance tuning, and globalization Package your app for the Web, desktop, mobile, and TVs

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You can easily create a professional-looking website with nothing more than an ordinary computer and some raw ambition. Want to build a blog, sell products, create forums, or promote an event? No problem! This friendly, jargon-free book gives you the techniques, tools, and advice you need to build a site and get it up on the Web. The important stuff you need to know: Master the basics. Learn HTML5, the language of the Web. Design good-looking pages. Use styles to build polished layouts. Get it online. Find a reliable web host and pick a good web address. Use time-saving tools. Learn free tools for creating web pages and tracking your visitors. Attract visitors. Make sure people can find your site through popular search engines like Google. Build a community. Encourage repeat visits with social media. Bring in the cash. Host Google ads, sell Amazon's wares, or push your own products that people can buy via PayPal. Add pizzazz. Include audio, video, interactive menus, and a pinch of JavaScript.

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How can you make your bookkeeping workflow smoother and faster? Simple. With QuickBooks 2016: The Missing Manual, you're in control: you get step-by-step instructions on how and when to use specific features, along with basic bookkeeping and accounting advice to guide you through the learning process. Discover new and improved features like the Insights dashboard and easy report commenting. The important stuff you need to know: Get started fast. Quickly set up accounts, customers, jobs, and invoice items. Follow the money. Track everything from billable and unbillable time and expenses to income and profit. Keep your company financially fit. Examine budgets and actual spending, income, inventory, assets, and liabilities. Gain insights. Open a dashboard that highlights your company's financial activity and status the moment you log in. Spend less time on bookkeeping. Create and reuse bills, invoices, sales receipts, and timesheets. Find key info. Use QuickBooks' Search and Find features, as well as the Vendor, Customer, Inventory, and Employee Centers.

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BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You'll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that's interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We'd like BioCoder to become self supporting (maybe even profitable), but we'll worry about that after we've got a few issues under our belt.If you'd like to contribute, send email to BioCoder@oreilly.com. Tell us what you'd like to do, and we'll get you started.

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Docker containers offer simpler, faster, and more robust methods for developing, distributing, and running software than previously available. With this hands-on guide, you'll learn why containers are so important, what you'll gain by adopting Docker, and how to make it part of your development process. Ideal for developers, operations engineers, and system administrators-especially those keen to embrace a DevOps approach-Using Docker will take you from Docker and container basics to running dozens of containers on a multi-host system with networking and scheduling. The core of the book walks you through the steps needed to develop, test, and deploy a web application with Docker. Get started with Docker by building and deploying a simple web application Use Continuous Deployment techniques to push your application to production multiple times a day Learn various options and techniques for logging and monitoring multiple containers Examine networking and service discovery: how do containers find each other and how do you connect them? Orchestrate and cluster containers to address load-balancing, scaling, failover, and scheduling Secure your system by following the principles of defense-in-depth and least privilege

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This book serves as a practical guide to developing RESTful applications, designing RESTful architectures, and deploying RESTful services using Ruby on Rails. By the end of each chapter, the reader will have key takeaways for how to build and extend a multi-service platform spanning different devices. The book explains the power of RESTful development with Rails, illustrating how to build an architecture composed of different services accessing shared resources through a set of collaborating APIs and applications.

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Why a book about logs? That's easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don't think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses - data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models. Go ahead and take the plunge with logs; you're going love them. Learn how logs are used for programmatic access in databases and distributed systems Discover solutions to the huge data integration problem when more data of more varieties meet more systems Understand why logs are at the heart of real-time stream processing Learn the role of a log in the internals of online data systems Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn

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Ready to build mobile apps that out-perform the rest? If you're an iOS developer with app-building experience, this practical guide provides tips and best practices to help you solve many common performance issues. You'll learn how to design and optimize iOS apps that deliver a smooth experience even when the network is poor and memory is low. Today's picky users want fast and responsive apps that don't hog resources. In this book, author Gaurav Vaish demonstrates methods for writing optimal code from an engineering perspective, using reusable Objective-C code that you can use right away. Up your game and create high-performance native iOS apps that truly stand out from the crowd. Measure key performance indicators-attributes that constitute and affect app performance Write efficient apps by minimizing memory and power consumption, and explore options for using available CPU cores Optimize your app's lifecycle and UI, as well as its networking, data sharing, and security features Learn about application testing, debugging and analysis tools, and monitoring your app in the wild Collect data from real users to analyze app usage, identify bottlenecks, and provide fixes Use iOS 9 upgrades to improve your app's performance

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Get the most out of Samsung's Galaxy S5 smartphone right from the start. With clear instructions from technology expert Preston Gralla, this Missing Manual gives you a guided tour of Samsung's new flagship phone, including great new features such as the fingerprint scanner, heart rate sensor, and Download Booster. You'll get expert tips and tricks for playing music, calling and texting, shooting photos and videos, and even getting some work done. The important stuff you need to know: Get connected. Browse the Web, manage email, and download apps from Google Play through WiFi or 3G/4G network. Keep in touch. Call, text, chat, videochat, conduct conference calls, and reach out with Facebook and Twitter. Capture and display images. Shoot, edit, show, and share photos, slideshows, and high-definition videos. Play and manage your music. Buy music from Google Play or Amazon and listen to it with Galaxy S5's Music app. Work anywhere. Access your files, company network, calendar, and contacts - and work with Google Docs. Connect to Google Maps. Use geolocation and turn-by-turn drive directions to find your way. Stay fit with S Health. Use this built-in app to keep track of fitness goals, walking, heart rate, blood pressure, and more.

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Revisiting your code to remove redundancies and inconsistencies-known as refactoring-is a common practice when using programming languages. With this book, author Steve Lindstrom not only shows you how to structure your CSS to build a responsive, easy-to-use website, but also how to use refactoring tools to create faster, more readable CSS. Good CSS is essential to the look and feel of modern sites-as important as the HTML that dictates the site's appearance and the JavaScript that runs the application. This book is ideal for seasoned front-end developers cleaning up an existing project, as well as those starting a new project for the first time. Discover why CSS is easy to learn but difficult to master Understand the difference between good and bad CSS Learn about refactoring and how it relates to CSS Explore methods for executing a CSS refactoring Learn how to deal with browser inconsistencies Investigate common CSS antipatterns-and how to avoid them Use techniques for structuring a project's CSS Recognize when your CSS refactoring is successful

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