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Light up your life with ingenious LED projects perfect for the whole family! This beautifully presented book is filled with full-color photographs and step-by-step instructions for projects that can be completed by even the youngest Maker

Each volume of William Gurstelle's unique, hands-on journey through history examines remarkable inventors whose insights and inventions helped create our modern world.

Voice user interfaces (VUIs) are becoming all the rage today. But how do you build one that people can actually converse with? Whether youre designing a mobile app, a toy, or a device such as a home assistant, this practical book guides you through basic VUI design principles, helps you choose the right speech recognition engine, and shows you how to measure your VUIs performance and improve upon it.Author Cathy Pearl also takes product managers, UX designers, and VUI designers into advanced design topics that will help make your VUI not just functional, but great.Understand key VUI design concepts, including command-and-control and conversational systemsDecide if you should use an avatar or other visual representation with your VUIExplore speech recognition technology and its impact on your designTake your VUI above and beyond the basic exchange of informationLearn practical ways to test your VUI application with usersMonitor your app and learn how to quickly improve performanceGet real-world examples of VUIs for home assistants, smartwatches, and car systems

Have you ever felt frustrated working with someone elses code? Difficult-to-maintain source code is a big problem in software development today, leading to costly delays and defects. Be part of the solution. With this practical book, youll learn 10 easy-to-follow guidelines for delivering C# software thats easy to maintain and adapt. These guidelines have been derived from analyzing hundreds of real-world systems.Written by consultants from the Software Improvement Group (SIG), this book provides clear and concise explanations, with advice for turning the guidelines into practice. Examples for this edition are written in C#, while our companion Java book provides clear examples in that language.Write short units of code: limit the length of methods and constructorsWrite simple units of code: limit the number of branch points per methodWrite code once, rather than risk copying buggy codeKeep unit interfaces small by extracting parameters into objectsSeparate concerns to avoid building large classesCouple architecture components looselyBalance the number and size of top-level components in your codeKeep your codebase as small as possibleAutomate tests for your codebaseWrite clean code, avoiding "e;code smells"e; that indicate deeper problems

As technology becomes deeply integrated into every aspect of our lives, weve begun to expect more emotionally intelligent interactions. But smartphones dont know if were having a bad day, and cars couldnt care less about compassion. Technology is developing more IQ, but it still lacks EQ.In this book, Pamela Pavliscakdesign researcher and advisor to Fortune 500 companiesexplores new research about emotion, new technology that engages emotion, and new emotional design practices. Drawing on her own research and the latest thinking in psychology, neuroscience, and behavioral economics, Pamela shows you how design can help promote emotional well-being.Youll learn:How design has transformed emotion and how tech is transforming it againNew principles for merging emotional intelligence and design thinkingHow to use a relationship model for framing product interactions and personalityMethods for blending well-being interventions with design patternsHow emotional resonance can guide designers toward ethical futuresImplications of emotionally intelligent technology as it scales from micro- to mega-emotional spheres

Concurrency can be notoriously difficult to get right, but fortunately, the Go open source programming language makes working with concurrency tractable and even easy. If youre a developer familiar with Go, this practical book demonstrates best practices and patterns to help you incorporate concurrency into your systems.Author Katherine Cox-Buday takes you step-by-step through the process. Youll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems. Learn the skills and tooling you need to confidently write and implement concurrent systems of any size.Understand how Go addresses fundamental problems that make concurrency difficult to do correctlyLearn the key differences between concurrency and parallelismDig into the syntax of Gos memory synchronization primitivesForm patterns with these primitives to write maintainable concurrent codeCompose patterns into a series of practices that enable you to write large, distributed systems that scaleLearn the sophistication behind goroutines and how Gos runtime stitches everything together

This hands-on guide provides the knowledge and tools you need to measure, deploy, and manage your web application infrastructure before you experience explosive growth. In this thoroughly updated edition, authors Arun Kejariwal (MZ) and John Allspaw provide a systematic, robust, and practical approach to capacity planning.

This practical guide to using Keystone provides detailed, step-by-step guidance to creating a secure cloud environment at the Infrastructure-as-a-Service layer-as well as key practices for safeguarding your cloud's ongoing security.

Short and sweet, this short 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 Padding, Borders, Outlines, and Margins in CSS, 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

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.

Carefully reviewed for clarity, accuracy, and completeness, this book is an authoritative and comprehensive resource for database professionals, with over 1700 entries (many with examples) dealing with issues and concepts arising from the relational model of data.

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications.Examine methods for obtaining, cleaning, and arranging data into its purest formUnderstand the matrix structure that your data should takeLearn basic concepts for testing the origin and validity of dataTransform your data into stable and usable numerical valuesUnderstand supervised and unsupervised learning algorithms, and methods for evaluating their successGet up and running with MapReduce, using customized components suitable for data science algorithms

Your bookkeeping workflow will be smoother and faster with QuickBooks 2012 - but only if you spend more time using the program than figuring out how it works. Take control with this Missing Manual. You'll not only learn how and when to use specific features, you'll also get basic accounting advice to help you through the learning process.

With Mountain Lion, Apple has unleashed the most innovative version of Mac OS X yet - and once again, David Pogue brings his humor and expertise to the #1 bestselling Mac book. Mac OS X 10.8 brings more innovations from the iPad and makes syncing across devices smarter and easier with higher iCloud integration throughout the operating system.

From the pages of Make: magazine comes this collection of dozens of projects you can make in your home or school workshop. You'll learn how to create toys and games from stuff you have lying around, create unusual and inspiring home improvements, and even find some new ways to have fun outdoors.

The author draws on more than 20 years of experience doing hands-on science to facilitate tinkering: learning science while fooling around with real things. Updated with new photographs and in full color, this new edition is even more accessible to young makers or young-at-heart makers.

If you're just catching on to the Maker Movement and wonder what you've missed, this book contains the best projects and articles from the magazine. Find out what keeps Makers coming back to Make.

This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs-with just enough math to let you understand and analyze algorithm performance.

If you want to convince your organization to conduct a web performance upgrade, this concise book will strengthen your case. Drawing upon her many years of web performance research, author Tammy Everts uses cases studies and other data to explain how web page speed and availability affect a host of business metrics. Youll also learn how our human neurological need for quick, uncomplicated processes drives these metrics.Ideal for managers, this books case studies demonstrate how Walmart, Staples.com, Mozilla, and other organizations significantly improved conversion rates through simple upgrades. Find out why happy customers return, while frustrated users can send your metricsand your domaininto a tailspin.Youll explore:What happens neurologically when people encounter slow or interrupted processesHow page speed affects metrics in retail and other industries, from media sites to SaaS providersWhy internal applications are often slower than consumer apps, and how this hurts employee morale and productivityCommon performance problems and the various technologies created to fight themHow to pioneer new metrics, and create an organizational culture of performance

How can you create products that successfully find customers? With this practical book, youll learn from some of the best product designers in the field, from companies like Facebook and LinkedIn to up-and-coming contenders. Youll understand how to discover and interpret customer pain, and learn how to use this research to guide your team through each step of product creation.Written for designers, product managers, and others who want to communicate better with designers, this book is essential reading for anyone who contributes to the product creation process.Understand exactly who your customers are, what they want, and how to build products that make them happyLearn frameworks and principles that successful product designers useIncorporate five states into every screen of your interface to improve conversions and reduce perceived loading timesDiscover meeting techniques that Apple, Amazon, and LinkedIn use to help teams solve the right problems and make decisions fasterDesign effective interfaces across different form factors by understanding how people hold devices and complete tasksLearn how successful designers create working prototypes that capture essential customer feedbackCreate habit-forming and emotionally engaging experiences, using the latest psychological research

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 didnt 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.Youll explore:Designs that can kill, including the bad interface that doomed a young cancer patientDesigns that anger, through impolite technology and dark patternsHow design can inadvertently cause emotional painDesigns that exclude people through lack of accessibility, diversity, and justiceHow to advocate for ethical design when it isnt easy to do soTools and techniques that can help you avoid harmful design decisionsInspiring professionals who use design to improve our world

This book brings together in one place all the information you need to get something done with Arduino. It will save you from endless web searches and digging through translations of datasheets or notes in project-based texts to find the information that corresponds to your own particular setup and question.

Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata.

This practical book takes programmers (amateurs and pros alike) on a no-nonsense tour of ES6, along with some related tools and techniques.

Through a series of tutorials and case studies, this book gives you the techniques to turn a product idea into a 3D model and a prototype. Focusing on free design software and affordable technologies, the exercises in this book are the perfect boost to any beginner looking to start designing for 3D printing.

JSON is becoming the backbone for meaningful data interchange over the internet. This format is now supported by an entire ecosystem of standards, tools, and technologies for building truly elegant, useful, and efficient applications. With this hands-on guide, author and architect Tom Marrs shows you how to build enterprise-class applications and services by leveraging JSON tooling and message/document design.JSON at Work provides application architects and developers with guidelines, best practices, and use cases, along with lots of real-world examples and code samples. Youll start with a comprehensive JSON overview, explore the JSON ecosystem, and then dive into JSONs use in the enterprise.Get acquainted with JSON basics and learn how to model JSON dataLearn how to use JSON with Node.js, Ruby on Rails, and JavaStructure JSON documents with JSON Schema to design and test APIsSearch the contents of JSON documents with JSON Search toolsConvert JSON documents to other data formats with JSON Transform toolsCompare JSON-based hypermedia formats, including HAL and jsonapiLeverage MongoDB to store and access JSON documentsUse Apache Kafka to exchange JSON-based messages between services

"e;This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."e;-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "e;see"e; and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithmsGetting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thats initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, youll learn how to acquire, clean, analyze, and present data efficiently. Youll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.Quickly learn basic Python syntax, data types, and language conceptsWork with both machine-readable and human-consumable dataScrape websites and APIs to find a bounty of useful informationClean and format data to eliminate duplicates and errors in your datasetsLearn when to standardize data and when to test and script data cleanupExplore and analyze your datasets with new Python libraries and techniquesUse Python solutions to automate your entire data-wrangling process

What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business modelsfrom data collection and analysis to the insights and leadership that drive concrete actions. Youll learn what works and what doesnt, and why creating a data-driven culture throughout your organization is essential.Start from the bottom up: learn how to collect the right data the right wayHire analysts with the right skills, and organize them into teamsExamine statistical and visualization tools, and fact-based story-telling methodsCollect and analyze data while respecting privacy and ethicsUnderstand how analysts and their managers can help spur a data-driven cultureLearn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, youll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce.Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. Youll also learn about the analytical processes and data systems available to build and empower data products that can handleand actually requirehuge amounts of data.Understand core concepts behind Hadoop and cluster computingUse design patterns and parallel analytical algorithms to create distributed data analysis jobsLearn about data management, mining, and warehousing in a distributed context using Apache Hive and HBaseUse Sqoop and Apache Flume to ingest data from relational databasesProgram complex Hadoop and Spark applications with Apache Pig and Spark DataFramesPerform machine learning techniques such as classification, clustering, and collaborative filtering with Sparks MLlib