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Even if you're familiar with C# syntax, knowing how to combine various language features is a critical skill when you're building applications. This cookbook is packed full of recipes to help you solve issues for C# programming tasks you're likely to encounter. You'll learn tried-and-true techniques to help you achieve greater productivity and improve the quality of your code.Author and independent consultant Joe Mayo shares some of the most important practices you'll need to be successful as a C# developer. Each section of this cookbook describes some useful facet of the C# programming language. These recipes--the result of many years of experience--are proven concepts for solving real-world problems with C#.Recipes in this book will help you:Set up your project, manage object lifetime, and establish patternsImprove code quality through maintainability, error prevention, and correct syntaxUse LINQ to Objects for in-memory data manipulation and queryingUnderstand the differences between dynamic programming and reflectionApply several async programming features you may not be aware ofWork with data using newer libraries and algorithmsLearn different ways to use new C# features, such as pattern matching and records

This easy-to-use reference for Tensorflow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.

React helps you create and work on an app in just a few minutes. But learning how to put all the pieces together is hard. How do you validate a form? Or implement a complex multistep user action without writing messy code? How do you test your code? Make it reusable? Wire it to a backend? Keep it easy to understand? The React Cookbook delivers answers fast.Many books teach you how to get started, understand the framework, or use a component library with React, but very few provide examples to help you solve particular problems. This easy-to-use cookbook includes the example code developers need to unravel the most common problems when using React, categorized by topic area and problem.You'll learn how to:Build a single-page application in React using a rich UICreate progressive web applications that users can install and work with offlineIntegrate with backend services such as REST and GraphQLAutomatically test for accessibility problems in your applicationSecure applications with fingerprints and security tokens using WebAuthnDeal with bugs and avoid common functional and performance problems

Get a comprehensive overview on how to set up and design an effective database with MySQL. This thoroughly updated edition covers MySQL's latest version, including its most important aspects. Whether you're deploying an environment, troubleshooting an issue, or engaging in disaster recovery, this practical guide provides the insights and tools necessary to take full advantage of this powerful RDBMS.Authors Vinicius Grippa and Sergey Kuzmichev from Percona show developers and DBAs methods for minimizing costs and maximizing availability and performance. You'll learn how to perform basic and advanced querying, monitoring and troubleshooting, database management and security, backup and recovery, and tuning for improved efficiency. This edition includes new chapters on high availability, load balancing, and using MySQL in the cloud.Get started with MySQL and learn how to use it in productionDeploy MySQL databases on bare metal, on virtual machines, and in the cloudDesign database infrastructuresCode highly efficient queriesMonitor and troubleshoot MySQL databasesExecute efficient backup and restore operationsOptimize database costs in the cloudUnderstand database concepts, especially those pertaining to MySQL

With the rise of DevOps, low-cost cloud computing, and container technologies, the way Java developers approach development today has changed dramatically. This practical guide helps you take advantage of microservices, serverless, and cloud native technologies using the latest DevOps techniques to simplify your build process and create hyperproductive teams.Stephen Chin, Melissa McKay, Ixchel Ruiz, and Baruch Sadogursky from JFrog help you evaluate an array of options. The list includes source control with Git, build declaration with Maven and Gradle, CI/CD with CircleCI, package management with Artifactory, containerization with Docker and Kubernetes, and much more. Whether you're building applications with Jakarta EE, Spring Boot, Dropwizard, MicroProfile, Micronaut, or Quarkus, this comprehensive guide has you covered.Explore software lifecycle best practicesUse DevSecOps methodologies to facilitate software development and deliveryUnderstand the business value of DevSecOps best practicesManage and secure software dependenciesDevelop and deploy applications using containers and cloud native technologiesManage and administrate source control repositories and development processesUse automation to set up and administer build pipelinesIdentify common deployment patterns and antipatternsMaintain and monitor software after deployment

It takes a week to travel the 8,000 miles overland from Java to Kotlin. If you're an experienced Java developer who has tried the Kotlin language, you were probably productive in about the same time.You'll have found that they do things differently in Kotlin, though. Nullability is important, collections are different, and classes are final by default. Kotlin is more functional, but what does that mean, and how should it change the way that you program? And what about all that Java code that you still have to support?Your tour guides Duncan and Nat first made the trip in 2015, and they've since helped many teams and individuals follow in their footsteps. Travel with them as they break the route down into legs like Optional to Nullable, Beans to Values, and Open to Sealed Classes. Each explains a key concept and then shows how to refactor production Java to idiomatic Kotlin, gradually and safely, while maintaining interoperability.The resulting code is simpler, more expressive, and easier to change. By the end of the journey, you'll be confident in refactoring Java to Kotlin, writing Kotlin from scratch, and managing a mixed language codebase as it evolves over time.

For makers looking to use the smallest microcontrollers or to wring the highest performance out of larger ones, the C language is still the best option. This practical book provides a solid grounding in C basics for anyone who tinkers with programming microcontrollers. You'll explore the many ways C enables developers and makers to get big results out of tiny devices.Author Marc Loy shows you how to write clean, maintainable C code from scratch. This language and its cousin, C++, are still widely used to write low-level code for device drivers or operating systems. By understanding C syntax and its quirks, you'll gain an enduring computer language literacy that will help you pick up new languages and styles more easily.Learn C fundamentals, such as data types, flow control, and functionsExplore memory management including how programs work on small devicesUnderstand answers provided in online forums such as Reddit or Stack OverflowWrite efficient, custom C code that's both readable and maintainableAnalyze the performance of your code and weigh optimizationsEvaluate third-party libraries for use in your own projectsCreate your own libraries to share with others

Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise.Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more.Examine the fundamental concepts of Kubernetes architectureGet different Kubernetes and OpenShift environments up and runningDive into advanced resource management topics, including capacity planningLearn how to support high availability inside a single clusterUse production-level approaches for continuous delivery and code promotion across clustersExplore hybrid cloud use cases, including multicluster provisioning, upgrading, and policy supportDevise and deliver disaster recovery strategies

This ALL NEW benchtop reference presents more ingenious and indispensable shop tips and pearls of wisdom collected by the editors of Make: and some of the most talented and prolific makers who've contributed to the magazine and Maker Faire over the past decade.

Geometry, of all the branches of mathematics, is the one that is most easily visualized by making something. This book aims to take geometry back to its practical roots with 3D printed models and puzzles as well as demonstrations with household objects like flashlights and paper towel tubes.

Getting started with Arduino is a snap. To use the introductory examples in this guide, all you need is an Arduino Uno or Leonardo, along with a USB cable and an LED. The easy-to-use, free Arduino development environment runs on Mac, Windows, and Linux.

Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming language.Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you'll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.This practical book guides you through:Foundations of analytics in Excel: Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analyticsFrom Excel to R: Cleanly transfer what you've learned about working with data from Excel to RFrom Excel to Python: Learn how to pivot your Excel data chops into Python and conduct a complete data analysis

Whether you're a beginner just learning how to create data visualizations or a Jedi who's already used Tableau for years, this cookbook has a recipe for everyone. Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards--and helps you understand your data through the power of Tableau Desktop's interactive datavisualizations.With this cookbook, Tableau beginners will learn hands-on how this unique self-serve tool works, while experienced users will find this book to be an ideal reference guide on how to employ specific techniques. It also links you to online resources and community features, such as Tableau Tip Tuesday and Workout Wednesday. By the time you reach the end, you'll be a competent user of Tableau Desktop.You'll learn how to:Build both basic and complex data visualizations with Tableau DesktopGain hands-on experience with Tableau's latest features, including set and parameter actionsCreate interactive dashboards to support business questionsImprove your analytical skills to enhance the visualizations you've already createdLearn data visualization skills and best practices to help you and your organization

Make: Volume 76's cover story is an enlightening profile feature about Jorvon Moss, aka "Odd Jayy," the genesis of his delightful robotic companions and his new set of moving, responsive sci-fi goggles.Then, take a deep dive into LoRa, the long-range, free-to-use wireless protocol that's great for tracking sensor data. Learn the basics in our in-depth primer, and then put your knowledge to use building an off-the-grid portable text messaging network.And in our special music section, create new and interesting musical instruments using everyday maker tools like microcontrollers, servos, and more. Learn to set up a MIDI-enabled, BLE driven xylophone. Then make a tapping bot that listens to the rhythms around it and synchronizes its output to match them. And finally, build a 3D-printed pocket synthesizer that omits a dedicated PCB for simple route-in-place wiring. Now you're ready to rock!Plus, explore 30+ projects and skill builders, including: Construct a location tracking clock like the Weasley family has in the Harry Potter seriesBuild a unique, single-rotor "ball drone" that uses air vanes to navigateLearn to use a Raspberry Pi & Pi camera to stream live videoMake a fold-up kayak out of corrugated plastic sheetsAnd tons more projects and maker inspiration!

This book introduces the reader to amateur radio and prepares them for the FCC Technician license exam. It focuses on electronics and wireless technologies through projects that provide some hands-on hardware construction and operation.

This practical guide provides business leaders and C-level executives with guidance and insights across a wide range of cloud-related topics, such as distributed cloud, microservices, and other open source solutions for strengthening operations.

Ready to build cloud native applications? Get a hands-on introduction to daily life as a developer crafting code on OpenShift, the open source container application platform from Red Hat. Creating and packaging your apps for deployment on modern distributed systems can be daunting. Too often, adding infrastructure value can complicate development. With this practical guide, you'll learn how to build, deploy, and manage a multitiered application on OpenShift.Authors Joshua Wood and Brian Tannous, principal developer advocates at Red Hat, demonstrate how OpenShift speeds application development. With the Kubernetes container orchestrator at its core, OpenShift simplifies and automates the way you build, ship, and run code. You'll learn how to use OpenShift and the Quarkus Java framework to develop and deploy apps using proven enterprise technologies and practices that you can apply to code in any language.Learn the development cycles for building and deploying on OpenShift, and the tools that drive themUse OpenShift to build, deploy, and manage the ongoing lifecycle of an n-tier applicationCreate a continuous integration and deployment pipeline to build and deploy application source code on OpenShiftAutomate scaling decisions with metrics and trigger lifecycle events with webhooks

The Raspberry Pi is a credit card-sized computer that plugs into your TV and a keyboard. It is a capable little computer which can be used in electronics projects, and for many of the things that your desktop PC does, like spreadsheets, word processing, browsing the internet, and playing games. It also plays high-definition video.

Give your organization the data protection it deserves without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators have their work cut out for them to protect physical and virtual machines in the data center and the cloud; mobile devices including laptops and tablets; SaaS services like Microsoft 365, Google Workspace, and Salesforce; and persistent data created by Kubernetes and container workloads.To help you navigate the breadth and depth of this challenge, this book presents several solutions so you can determine which is right for your company. You'll learn the unique requirements that each workload presents, then explore various categories of commercial backup hardware, software, and services available to protect these data sources, including the advantages and disadvantages of each approach.Learn the workload types that your organization should be backing upExplore the hardware, software, and services you can use to back up your systemsUnderstand what's wrong with your current data protection systemPair your backed-up workloads to the appropriate backup systemLearn the adjustments that will make your backups better, without wasting money

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learningand the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-readydeep learning systems with TensorFlow.js.Explore tensors, the most fundamental structure of machine learningConvert data into tensors and back with a real-world exampleCombine AI with the web using TensorFlow.jsUse resources to convert, train, and manage machine learning dataBuild and train your own training models from scratch

With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you'll discover new ways to accomplish data science tasks and expand your skill set.

Distils years of hard-won experience into practical cut-and-paste solutions to everyday Linux dilemmas. Use just one recipe from this collection of real-world solutions, and the hours of tedious trial-and-error saved will more than pay for the cost of the book.

This hands-on 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.

In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. If you're familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started.

Blockchain technology continues to disrupt a wide variety of organizations, from small businesses to the Fortune 500. Today hundreds of blockchain networks are in production, including many built with Hyperledger Fabric. This practical guide shows developers how the latest version of this blockchain infrastructure provides an ideal foundation for developing enterprise blockchain applications or solutions.Authors Matt Zand, Xun Wu, and Mark Anthony Morris demonstrate how the versatile design of Hyperledger Fabric 2.0 satisfies a broad range of industry use cases. Developers with or without previous Hyperledger experience will discover why no other distributed ledger technology framework enjoys such wide adoption by cloud service providers such as Amazon, Alibaba, IBM, Google, and Oracle.Walk through the architecture and components of Hyperledger Fabric 2.0Migrate your current Hyperledger Fabric projects to version 2.0Develop blockchain applications on the Hyperledger platform with Node.jsDeploy and integrate Hyperledger on Amazon Managed Blockchain, IBM Cloud, and Oracle CloudDevelop blockchain applications with Hyperledger Aries, Avalon, Besu, and GridBuild end-to-end blockchain supply chain applications with Hyperledger

Kubernetes has become an essential part of the daily work for most system, network, and cluster administrators today. But to work effectively together on a production-scale Kubernetes system, they must be able to speak the same language. This book provides a clear guide to the layers of complexity and abstraction that come with running a Kubernetes network.Authors James Strong and Vallery Lancey bring you up to speed on the intricacies that Kubernetes has to offer for large container deployments. If you're to be effective in troubleshooting and maintaining a production cluster, you need to be well versed in the abstraction provided at each layer. This practical book shows you how.Learn the Kubernetes networking modelChoose the best interface for your clusters from the CNCF Container Network Interface projectExplore the networking and Linux primitives that power KubernetesQuickly troubleshoot networking issues and prevent downtimeExamine cloud networking and Kubernetes using the three major providers: Amazon Web Services, Google Cloud, and Microsoft AzureLearn the pros and cons of various network tools--and how to select the best ones for your stack

Features information on vim, the vi clone. This guide helps you learn text editing basics and advanced tools for both editors, such as multi-window editing, how to write both interactive macros and scripts to extend the editor, and power tools for programmers. It also includes an introduction to text editing with vi.

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 upyour 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 moreUse automated machine learning to implement a specific subset of use cases with SageMaker AutopilotDive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deploymentTie everything together into a repeatable machine learning operations pipelineExplore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache KafkaLearn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers.Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network development??from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, Google Cloud, or Azure and deploy your ML models to mobile and edge devices.Learn basic PyTorch syntax and design patternsCreate custom models and data transformsTrain and deploy models using a GPU and TPUTrain and test a deep learning classifierAccelerate training using optimization and distributed trainingAccess useful PyTorch libraries and the PyTorch ecosystem

Developing applications for the Android mobile operating system can seem daunting, particularly if it requires learning a new programming language: Kotlin, now Android??s officialdevelopment language. With this practical book, Android developers will learn how to make the transition from Java to Kotlin, including how Kotlin provides a true advantage for gaining control over asynchronous computations.Authors Pierre-Olivier Laurence, Amanda Hinchman-Dominguez, G. Blake Meike, and Mike Dunn explore implementations of the most common tasks in native Android development, and show you how Kotlin can help you solve concurrency problems. With a focus on structured concurrency, a new asynchronous programming paradigm, this book will guide you through one of Kotlin's most powerful constructs, coroutines.Learn about Kotlin essentials and the Kotlin Collections FrameworkExplore Android fundamentals: the operating system and the application container and its componentsLearn about thread safety and how to handle concurrencyWrite sequential, asynchronous work at a low costExamine structured concurrency with coroutines, and learn how channels make coroutines communicateLearn how to use flows for asynchronous data processingUnderstand performance considerations using Android profiling toolsUse performance optimizations to trim resource consumption