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If you want to build an enterprise-quality application that uses natural language text but arent sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library.Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. Youll also explore special concerns for developing text-based applications, such as performance.In four sections, youll learn NLP basics and building blocks before diving into application and system building:Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learningBuilding blocks: Learn techniques for building NLP applicationsincluding tokenization, sentence segmentation, and named-entity recognitionand discover how and why they workApplications: Explore the design, development, and experimentation process for building your own NLP applicationsBuilding NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support

Climate change is an urgent threat but if we makers act now, we can still make a difference at both micro and macro levels. Our cover story, the kickoff to a series that will run through 2020, gives a big-picture look at what steps we can take to arrest climate change. Hint: It starts by electrifying everything!Then, we look at some tasty tech with the story of a seriously impressive cheeseburger-making robot, recipes to cook delicious insects, and instructions to build a Raspberry Pi-powered cocktail dispenser for your next BBQ or robot-themed party.Plus, 21 projects to make, including:Hack the Sonos-Ikea Symfonisk to make high-quality, networked bookshelf speakers on a budgetBuild the world's newest, simplest siege weapon, the Walking Arm TrebuchetFold and fly the Guinness World Record paper airplaneMake a jig for quick, easy, and beautiful box jointsOur best-yet DIY coffee bean roasterAnd much more!

Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic datafake data generated from real dataso you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue.Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution.This book describes:Steps for generating synthetic data using multivariate normal distributionsMethods for distribution fitting covering different goodness-of-fit metricsHow to replicate the simple structure of original dataAn approach for modeling data structure to consider complex relationshipsMultiple approaches and metrics you can use to assess data utilityHow analysis performed on real data can be replicated with synthetic dataPrivacy implications of synthetic data and methods to assess identity disclosure

Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. With the popularity of software as a service, scaling has never been more important.Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demandwithout affecting the quality your customers expect. Architects, managers, and directors in engineering and operations organizations will learn how to build applications at scale that run more smoothly and reliably to meet the needs of customers.Learn how scaling affects the availability of your services, why that matters, and how to improve itDive into a modern service-based application architecture that ensures high availability and reduces the effects of service failuresExplore the Single Team Owned Service Architecture paradigm (STOSA)a model for scaling your development organization in tandem with your applicationUnderstand, measure, and mitigate risk in your systemsUse the cloud to build highly scalable applications

With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization.

Java continues to grow and evolve, and this cookbook continues to evolve in tandem. With this guide, youll get up to speed right away with hundreds of hands-on recipes across a broad range of Java topics. Youll learn useful techniques for everything from string handling and functional programming to network communication.Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. If youre familiar with Java basics, this cookbook will bolster your knowledge of the language and its many recent changes, including how to apply them in your day-to-day development. This updated edition covers changes through Java 12 and parts of 13 and 14.Recipes include:Methods for compiling, running, and debuggingPackaging Java classes and building applicationsManipulating, comparing, and rearranging textRegular expressions for string and pattern matchingHandling numbers, dates, and timesStructuring data with collections, arrays, and other typesObject-oriented and functional programming techniquesInput/output, directory, and filesystem operationsNetwork programming on both client and serverProcessing JSON for data interchangeMultithreading and concurrencyUsing Java in big data applicationsInterfacing Java with other languages

How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner.Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing device and IoT data, based on collection models and use cases that address real business needs. These examples come from some of the most demanding data environments, such as healthcare, using approaches that have withstood the test of time.Create anonymization solutions diverse enough to cover a spectrum of use casesMatch your solutions to the data you use, the people you share it with, and your analysis goalsBuild anonymization pipelines around various data collection models to cover different business needsGenerate an anonymized version of original data or use an analytics platform to generate anonymized outputsExamine the ethical issues around the use of anonymized data

Make: magazine is back in action and back to our original size! This issue's cover project is a maker's take on a Boston Dynamics-style quadrupedal walking robot that you can build yourself. Then, build an adorable unicorn shaped dispenser that spits soap on command. And to celebrate Make's return, why not build a custom dancing version of our Makey mascot.Plus, 28 projects including:Teeny-tiny personal motorboatStandup paddle boardBird-identifying computer-vision birdhouseBackyard bicycle pump trackAnd much more!

How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasnt been an easy taskuntil now.With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. Youll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customersto usher in the new age of Autonomous Marketing.Learn how AI and automation can support the customer acquisition efforts of a Lean StartupDive into Customer Acquisition 3.0, an initiative for gaining and retaining customersExplore ways to use AI for marketing purposesUnderstand the key metrics for determining the growth of your startupDetermine the right strategy to foster user acquisition in your companyManage the increased complexity and risk inherent in AI projects

Building a culture is just like hacking your way to a successful product. This practical book provides building blocks, practical tips, and inspiring stories from some of the most successful companies in the world to highlight the power of connecting with your customers.

To facilitate scalability and resilience, many organizations now run applications in cloud native environments using containers and orchestration. But how do you know if the deployment is secure? This practical book examines key underlying technologies to help developers, operators, and security professionals assess security risks and determine appropriate solutions.Author Liz Rice, VP of open source engineering at Aqua Security, looks at how the building blocks commonly used in container-based systems are constructed in Linux. Youll understand whats happening when you deploy containers and learn how to assess potential security risks that could affect your deployments. If you run container applications with kubectl or docker and use Linux command-line tools such as ps and grep, youre ready to get started.Explore attack vectors that affect container deploymentsDive into the Linux constructs that underpin containersExamine measures for hardening containersUnderstand how misconfigurations can compromise container isolationLearn best practices for building container imagesIdentify container images that have known software vulnerabilitiesLeverage secure connections between containersUse security tooling to prevent attacks on your deployment

If youre among the Python developers put off by asyncios complexity, its 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. Thats where this practical book comes in.Veteran Python developer Caleb Hattingh helps you gain a basic understanding of asyncios building blocksenough to get started writing simple event-based programs. Youll learn why asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simpleway to support thousands of simultaneous socket connections.Get a critical comparison of asyncio and threading for concurrent network programmingTake an asyncio walk-through, including a quickstart guidefor hitting the ground looping with event-based programmingLearn the difference between asyncio features for end-user developers and those for framework developersUnderstand asyncios new async/await language syntax, including coroutines and task and future APIsGet detailed case studies (with code) of some popular asyncio-compatible third-party libraries

Coding and testing are generally considered separate areas of expertise. In this practical book, Java expert Scott Oaks takes the approach that anyone who works with Java should be adept at understanding how code behaves in the Java Virtual Machineincluding the tunings likely to help performance. This updated second edition helps you gain in-depth knowledge of Java application performance using both the JVM and the Java platform.Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way the Java 8 and 11 LTS releases perform. While the emphasis is on production-supported releases and features, this book also features previews of exciting new technologies such as ahead-of-time compilation and experimental garbage collections.Understand how various Java platforms and compilers affect performanceLearn how Java garbage collection worksApply four principles to obtain best results from performance testingUse the JDK and other tools to learn how a Java application is performingMinimize the garbage collectors impact through tuning and programming practicesTackle performance issues in Java APIsImprove Java-driven database application performance

Most applications today are distributed in some fashion. Monitoring the health and performance of these distributed architectures requires a new approach. Enter distributed tracing, a method of profiling and monitoring applicationsespecially those that use microservice architectures. Theres just one problem: distributed tracing can be hard. But it doesnt have to be.With this practical guide, youll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at Lightstep walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful, operational insights. If you want to start implementing distributed tracing, this book tells you what you need to know.Youll learn:The pieces of a distributed tracing deployment: Instrumentation, data collection, and delivering valueBest practices for instrumentation (the methods for generating trace data from your service)How to deal with or avoid overhead, costs, and samplingHow to work with spans (the building blocks of request-based distributed traces) and choose span characteristics that lead to valuable tracesWhere distributed tracing is headed in the future

Give users the real-time experience they expect, by using Elixir and Phoenix Channels to build applications that instantly react to changes and reflect the application's true state. Learn how Elixir and Phoenix make it easy and enjoyable to create real-time applications that scale to a large number of users.

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 operationssysadmins, automation engineers, IT professionals, and site reliability engineersunderstand 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 reviewDeploying and configuring services: Infrastructure management, networks, security, storage, serverless, and release managementScaling administration: Monitoring and observability, capacity planning, log management and analysis, and security and compliance

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managersincluding experienced practitioners and novices alikewill learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment

There's never been a better time to be an amateur space explorer! From high school programs designed to send real student-led experiments to the International Space Station, to building a working VTVL (vertical take off, vertical landing) model rocket like the one from SpaceX, this issue is packed full of projects with actual space applications. And if a space aesthetic is more to your liking for your earthly abode, we've got a giant light-up full moon to hang on your wall and desktop orreries to simulate the movement of the planets around the sun.Plus 38 more great projects:Program a bot that points to the ISS when overheadLearn to laser-cut EVA foam to customize any cosplay creationBuild a light-up acrylic rainbow that changes colors to tell the weatherMake a cardboard camera that uses sun prints for filmAnd much more!

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

Many companies move workloads to the cloud only to encounter issues with legacy processes and organizational structures. How do you design new operating models for this environment? This practical book shows IT managers, CIOs, and CTOs how to address the hardest part of any cloud transformation: the people and the processes.

Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together.

In this issue of Make: we break down the latest trends in the world of microcontrollers and single board computers with the latest from Arduino, Google, Particle, and more. You'll also learn how FPGAs will change the way you prototype with our skill builder on using these ultra-configurable devices. And don't miss the 2019 edition of the "Make: Guide to Boards" special pullout -- compare specs for more than 70 boards to find the perfect one for any endeavor!Plus, 23 projects:Build a mesh-networked mob of R/C car swarmbotsAdd a full-sheet vertical Maslow CNC to even the tightest shopGet nonstop running water at the beach for boats, castles, and water fightsPersonalize a crafty glass block as a night light or custom giftAnd more!

Remember the dawn of the internet or the advent of mobile computing and social media? Yet another digital revolution is now underway. Like its predecessors, blockchains are about to transform the way we live, work, and play, while disrupting entrenched industries and shattering conventional business models.This practical guide takes you past the hype to show you exactly what blockchains do and how theyre poised to change our world. Author Alison McCauley explains how blockchains provide an open, distributed ledger for recording transactions in a verifiable and permanent way. You will learn how this technology provides an abundance of opportunity for those who know how to leverage blockchains to address privacy risks, hacks, data misuse, and fraud.Unblocked explains:Why ignoring this technology exposes you to competitive disruptionWhat this new technology revolution embracesno technical background requiredHow to prepare your organization to respond to the coming shift

The Digital Age is having a broad and profound impact on companies and entire industries. Rather than simply automate or embed digital technology into existing offerings, your business needs to rethink everything. In this practical book, three ThoughtWorks professionals provide a game plan to help your business through this transformation, along with technical concepts that you need to know to be an effective leader in a modern digital business.Chock-full of practical advice and case studies that show how businesses have transitioned, this book reveals lessons learned in guiding companies through digital transformation. While theres no silver bullet available, youll discover effective ways to create lasting change at your organization.With this book, youll discover how to:Realign the business and operating architecture to focus on customer valueBuild a more responsive and agile organization to deal with speed and ambiguityBuild next generation technology capability as a core differentiator

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.

As more companies move toward microservices and other distributed technologies, the complexity of these systems increases. You cant remove the complexity, but through Chaos Engineering you can discover vulnerabilities and prevent outages before they impact your customers. This practical guide shows engineers how to navigate complex systems while optimizing to meet business goals.Two of the fields prominent figures, Casey Rosenthal and Nora Jones, pioneered the discipline while working together at Netflix. In this book, they expound on the what, how, and why of Chaos Engineering while facilitating a conversation from practitioners across industries. Many chapters are written by contributing authors to widen the perspective across verticals within (and beyond) the software industry.Learn how Chaos Engineering enables your organization to navigate complexityExplore a methodology to avoid failures within your application, network, and infrastructureMove from theory to practice through real-world stories from industry experts at Google, Microsoft, Slack, and LinkedIn, among othersEstablish a framework for thinking about complexity within software systemsDesign a Chaos Engineering program around game days and move toward highly targeted, automated experimentsLearn how to design continuous collaborative chaos experiments

Learn how to build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this hands-on guide, author Ethan Brown teaches you the fundamentals through the development of a fictional application that exposes a public website and a RESTful API.

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.

Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. Youll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernels behavior; inject code to monitor, trace, and securely observe events in the kernel; and more.Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts youll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security. Then see how it all comes together with code examples in C, Go, and Python.Write applications that use BPF to observe and modify the Linux kernels behavior on demandInject code to monitor, trace, and observe events in the kernel in a secure wayno need to recompile the kernel or reboot the systemExplore code examples in C, Go, and PythonGain a more thorough understanding of the BPF program lifecycle