Mastering Corda provides you with a consistent, linear, and paced path to learning Corda and building modern enterprise-grade decentralized applications. Using this book, anyone from a complete blockchain beginner to an experienced blockchain or enterprise architect can rapidly understand and write applications like a pro while exploring the technical nuances and intricacies of the Corda platform.Corda is designed for use cases such as finance and investments, supply chain, healthcare, trade finance, insurance, and real estate that require a high-volume of transactions, scalability, and data privacy. If you have basic Java skills, this book will help you understand blockchain and show how you can get started immediately and be involved in the disruption of the future.With this book, you will:Understand Corda's value proposition and alignment with business strategies--particularly relevant to business executives and architectsDive deep into Corda's architecture and blockchain fundamentalsRapidly gain extensive knowledge of and hands-on experience with building Corda applicationsCompare and contrast Corda with Bitcoin, Ethereum, and HyperledgerEffectively prepare for the Corda certification exam and job interviews involving blockchainPerform data analytics and machine learning on Corda nodes
If youre like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.Analyze, explore, transform, and visualize data in Apache Spark with RCreate statistical models to extract information and predict outcomes; automate the process in production-ready workflowsPerform analysis and modeling across many machines using distributed computing techniquesUse large-scale data from multiple sources and different formats with ease from within SparkLearn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scaleDive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
If you maintain or plan to build Puppet infrastructure, this practical guide will take you a critical step further with best practices for managing the task successfully. Authors Chris Barbour and Jo Rhett present best-in-class design patterns for deploying Puppet environments and discuss the impact of each. The conceptual designs and implementation patterns in this book will help you create solutions that are easy to extend, maintain, and support.Essential for companies upgrading their Puppet deployments, this book teaches you powerful new features and implementation models that werent available in the older versions. DevOps engineers will learn how best to deploy Puppet with long-term maintenance and future growth in mind.Explore Puppets design philosophy and data structuresGet best practices for using Puppets declarative languageExamine Puppet resources in depththe building blocks of state managementLearn to model and describe business and site-specific logic in PuppetSee best-in-class models for multitiered data management with HieraExplore available options and community experience for node classificationUtilize r10k to simplify and accelerate Puppet change managementReview the cost benefits of creating your own extensions to PuppetGet detailed advice for extending Puppet in a maintainable manner
What can you gain by deploying Windows Server 2012 to your data center? This succinct guide takes a practical look at Microsoft's upgraded server and helps you determine how - or if - it can serve your business.
The link between cyberpunk and making has always been strong, sharing the "If you can't hack it, you don't own it" ethos. In this issue of Make:, we show you the newest emerging technologies, how to get into things you shouldn't with our spy tech roundup, and how to repurpose useful parts from discarded electronics. We also help you answer the crucial question: are you still a cyberpunk? Inside you will find 13 projects, including how to:Build a wheelchair for your furry friend out of hardware store partsText your bestie with a casual raise of the eyebrow and a muscle sensorCraft a cheap, easy-to-assemble rubber-band helicopter out of household supplies and a 2-liter soda bottleMake super cute papercraft succulents to decorate your spaceAnd more!
This hands-on book takes a look at four brilliant women -- Ada Lovelace, Anna Atkins, Hildegard Von Bingen, and Maria Telkes -- and the world-changing innovations they created. Walk in their footsteps as you discover how these women became inventors, learn what inspired them, and then try your hand at recreating their most famous inventions.
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects.Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project.Start the planning process by considering the key data project typesUse guidelines to evaluate and select data management solutionsReduce risk related to technology, your team, and vague requirementsExplore system interface design using APIs, REST, and pub/sub systemsChoose the right distributed storage system for your big data systemPlan and implement metadata collections for your data architectureUse data pipelines to ensure data integrity from source to final storageEvaluate the attributes of various engines for processing the data you collect
The Agile movement provides real, actionable answers to the question that keeps many company leaders awake at night: How do we stay successful in a fast-changing and unpredictable world? Agile has already transformed how modern companies build and deliver software. This practical book demonstrates how entire organizationsfrom product managers and engineers to marketers and executivescan put Agile to work.Author Matt LeMay explains Agile in clear, jargon-free terms and provides concrete and actionable steps to help any team put its values and principles into practice. Examples from a wide variety of organizations, including small nonprofits and global financial enterprises, bring to life the on-the-ground realities of Agile across industries and functions.Understand exactly what Agile is and why it mattersUse Agile to address your organizations specific needs and goalsTake customer centricity from theory into practiceStop wasting time in "e;report and critique"e; meetings and start making better decisionsCreate a harmonious cycle of learning, collaborating, and deliveringLearn from Agile experts at companies like IBM, Spotify, and Coca-Cola
In this issue of Make: learn to connect and automate a variety of gadgets with the easy-to-use IFTTT (If This Then That) cloud service -- set your coffee machine to brew a fresh pot when you wake up or send a message to do your homework right away when you get back home. Then explore how hackers use the Shodan search engine to discover and take advantage of your connected devices and get up to speed on how to lock them out. And in our cover story, read about Let's Robot, the whimsical platform for telepresence robotics. Log in and communally control a roving robot, and build your own for the internet to collectively control.25 projects including:Hack the original Space Invaders arcade audio chip and produce classic and novel sounds3D print an awesome set of egg-shaped speaker enclosures that provide incredible soundSee how prop and costume maker Michelle Sleeper built a real Mad Max: Fury Road-inspired prosthetic arm for an amputee cosplayerAdd sass to your simple sweater with ribbon and grommetsAnd much more!
From Adafruit Industries, a leader in products to Makers, designers, students young and old, comes the Circuit Playground Express. Connect it to your PC, Mac or Linux computer, and you can be programming interactive projects in minutes. You have a choice of programming environments to choose from: Python, the Microsoft MakeCode graphical building block environment, C/C++ via the Arduino development environment and JavaScript. Whether you are learning interactive programming, have an Internet of Things project in mind, or are looking to design on-the-go wearable electronics, the versatile Circuit Playground Express is the device to start with. In Getting Started with the Adafruit Circuit Playground Express, you'll learn how to:Get up and running quickly with programmable boardsUnderstand the basics of coding in multiple programming languagesUse the built-in sensors for a variety of projectsMake colorful interactive displaysDesign programs for the Internet of Things (IoT)
Jumpstarting books provide an avenue for makers to quickly master topical knowledge! Each book starts with instructions on how to install or initialize the hardware or software needed to reach the "Hello, World" stage of getting started!
Jumpstarting books provide an avenue for makers to quickly master topical knowledge! Each book starts with instructions on how to install or initialize the hardware or software needed to reach the "Hello, World" stage of getting started!
This all-new volume features more than three dozen fun and educational tinkering projects based on the author's years of working with kids in the tropical island nation of Timor-Leste. Step-by-step instructions accompanied by full-color photos take you through a range of enjoyable projects.
Dive into Python's advanced possibilities, including algorithm analysis, graphs, scale-free networks, and cellular automata with this in-depth, hands-on guide.
Get an in-depth tour of OpenShift, the container-based software deployment and management platform from Red Hat that provides a secure multi-tenant environment for the enterprise. This practical guide describes in detail how OpenShift, building on Kubernetes, enables you to automate the way you create, ship, and run applications in a containerized environment.Author Graham Dumpleton provides the knowledge you need to make the best use of the OpenShift container platform to deploy not only your cloud-native applications, but also more traditional stateful applications. Developers and administrators will learn how to run, access, and manage containers in OpenShift, including how to orchestrate them at scale.Build application container images from source and deploy themImplement and extend application image buildersUse incremental and chained builds to accelerate build timesAutomate builds by using a webhook to link OpenShift to a Git repositoryAdd configuration and secrets to the container as project resourcesMake an application visible outside the OpenShift clusterManage persistent storage inside an OpenShift containerMonitor application health and manage the application lifecycleThis book is a perfect follow-up to OpenShift for Developers: A Guide for Impatient Beginners (OReilly).
With platforms designed for rapid adaptation and failure recovery such as Amazon Web Services, cloud computing is more like programming than traditional system administration. Tools for automatic scaling and instance replacement allow even small DevOps teams to manage massively scalable application infrastructuresif team members drop their old views of development and operations and start mastering automation.This comprehensive guide shows developers and system administrators how to configure and manage AWS services including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53. Sysadms will learn will learn to automate their favorite tools and processes; developers will pick up enough ops knowledge to build a robust and resilient AWS application infrastructure.Launch instances with EC2 or CloudFormationSecurely deploy and manage your applications with AWS toolsLearn to automate AWS configuration management with Python and PuppetDeploy applications with Auto Scaling and Elastic Load BalancingExplore approaches for deploying application and infrastructure updatesSave time on development and operations with reusable componentsLearn strategies for managing log files in AWS environmentsConfigure a cloud-aware DNS service with Route 53Use AWS CloudWatch to monitor your infrastructure and applications
Technologists who want their ideas heard, understood, and funded are often told to speak the language of business-without really knowing what that is. This book's toolkit provides architects, product managers, technology managers, and executives with a shared language-in the form of repeatable, practical patterns and templates.
While Kubernetes has greatly simplified the task of deploying containerized applications, managing this orchestration framework on a daily basis can still be a complex undertaking. With this practical book, site reliability and DevOps engineers will learn how to build, operate, manage, and upgrade a Kubernetes clusterwhether it resides on cloud infrastructure or on-premises.Brendan Burns, cofounder of Kubernetes, and Craig Tracey, staff field engineer at Heptio, dissect how Kubernetes works internally and demonstrate ways to maintain, adjust, and improve the cluster to suit your particular use case. Youll learn how to make architectural choices for designing a cluster, managing access control, monitoring and alerting, and upgrading Kubernetes. Dive in and discover how to take full advantage of this orchestration frameworks capabilities.Learn how your cluster operates, how developers use it to deploy applications, and how Kubernetes can facilitate a developers jobAdjust, secure, and tune your cluster by understanding Kubernetes APIs and configuration optionsDetect cluster-level problems early and learn the steps necessary to respond and recover quicklyDetermine how and when to add libraries, tools, and platforms that build on, extend, or otherwise improve a Kubernetes cluster
Dive into Bitcoin technology with this hands-on guide from one of the leading teachers on Bitcoin and Bitcoin programming. Author Jimmy Song shows Python programmers and developers how to program a Bitcoin library from scratch. Youll learn how to work with the basics, including the math, blocks, network, and transactions behind this popular cryptocurrency and its blockchain payment system.By the end of the book, you'll understand how this cryptocurrency works under the hood by coding all the components necessary for a Bitcoin library. Learn how to create transactions, get the data you need from peers, and send transactions over the network. Whether youre exploring Bitcoin applications for your company or considering a new career path, this practical book will get you started.Parse, validate, and create bitcoin transactionsLearn Script, the smart contract language behind BitcoinDo exercises in each chapter to build a Bitcoin library from scratchUnderstand how proof-of-work secures the blockchainProgram Bitcoin using Python 3Understand how simplified payment verification and light wallets workWork with public-key cryptography and cryptographic primitives
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.
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, youll 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 analysisQuery file types including logfiles, Parquet, JSON, and other complex formatsQuery Hadoop, relational databases, MongoDB, and Kafka with standard SQLConnect to Drill programmatically using a variety of languagesUse Drill even with challenging or ambiguous file formatsPerform sophisticated analysis by extending Drills functionality with user-defined functionsFacilitate data analysis for network security, image metadata, and machine learning
Artificial intelligence will power the next generation of inventions, and we want it to be accessible to everyone. In this issue, we look at AI-focused, maker-accessible boards that are pushing the AI world forward; and we show how you can use AI tools in your next project. We also look at the latest electronics prototyping tools from companies like Texas Instruments, Adafruit, SparkFun, and more. Our Board Guide will help you spec out the perfect brain for your project.You'll also find 15 projects in this issue, including:Shoot-and-print photos with an adorable SelfieBotConstruct a DIY waterjet cutter for under $1,500Build a scanner to spot gas station credit card skimmersCreate custom swag with a desktop cutterand more!
Ready to make amazing games for the iPhone and iPad? With Apple's Swift programming language, it's never been easier. This updated cookbook provides detailed recipes for managing a wide range of common iOS game-development issues, ranging from 2D and 3D math, SpriteKit, and OpenGL to augmented reality with ARKit.
Head First Kotlin is a complete introduction to coding in Kotlin. This hands-on book helps you learn the Kotlin language with a unique method that goes beyond syntax and how-to manuals and teaches you how to think like a great Kotlin developer.
Using a web API to provide services to application developers is one of the more satisfying endeavors that software engineers undertake. But building a popular API with a thriving developer ecosystem is also one of the most challenging. With this practical guide, developers, architects, and tech leads will learn how to navigate complex decisions for designing, scaling, marketing, and evolving interoperable APIs.Authors Brenda Jin, Saurabh Sahni, and Amir Shevat explain API design theory and provide hands-on exercises for building your web API and managing its operation in production. Youll also learn how to build and maintain a following of app developers. This book includes expert advice, worksheets, checklists, and case studies from companies including Slack, Stripe, Facebook, Microsoft, Cloudinary, Oracle, and GitHub.Get an overview of request-response and event-driven API design paradigmsLearn best practices for designing an API that meets the needs of your usersUse a template to create an API design processScale your web API to support a growing number of API calls and use casesRegularly adapt the API to reflect changes to your product or businessProvide developer resources that include API documentation, samples, and tools
This book provides a highly practical look at ES6, without getting lost in the specification or its implementation details. Armed with practical examples, author Nicolas Bevacqua shows you new ways to deal with asynchronous flow control, declare objects or functions, and create proxies or unique sets, among many other features.
You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If youre a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.Youll learn:The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualizationThe role that visual representations play in data discoveryCommon visualization types by the tasks they fulfill and the data they useVisualization techniques that use multiple views and interaction to support analysis of large, complex data sets
What separates the traditional enterprise from the likes of Amazon, Netflix, and Etsy? Those companies have refined the art of cloud native development to maintain their competitive edge and stay well ahead of the competition. This practical guide shows Java/JVM developers how to build better software, faster, using Spring Boot, Spring Cloud, and Cloud Foundry.Many organizations have already waded into cloud computing, test-driven development, microservices, and continuous integration and delivery. Authors Josh Long and Kenny Bastani fully immerse you in the tools and methodologies that will help you transform your legacy application into one that is genuinely cloud native.In four sections, this book takes you through:The Basics: learn the motivations behind cloud native thinking; configure and test a Spring Boot application; and move your legacy application to the cloudWeb Services: build HTTP and RESTful services with Spring; route requests in your distributed system; and build edge services closer to the dataData Integration: manage your data with Spring Data, and integrate distributed services with Springs support for event-driven, messaging-centric architecturesProduction: make your system observable; use service brokers to connect stateful services; and understand the big ideas behind continuous delivery
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learningespecially deep neural networksmake a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, youll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.Dive into machine learning concepts in general, as well as deep learning in particularUnderstand how deep networks evolved from neural network fundamentalsExplore the major deep network architectures, including Convolutional and RecurrentLearn how to map specific deep networks to the right problemWalk through the fundamentals of tuning general neural networks and specific deep network architecturesUse vectorization techniques for different data types with DataVec, DL4Js workflow toolLearn how to use DL4J natively on Spark and Hadoop
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