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Practical Arduino Robotics: A hands-on guide to bringing your robotics ideas to life using Arduino
by Lukas KaulBuild your hardware, electronics, and programming skills, and use them to realize your advanced robotics projects with this powerful platformPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesBecome an expert in selecting sensors, motors, and Arduino boards for any robotics projectDiscover how to write effective and reusable code for your Arduino robotics projectsLearn to build a camera-based line follower and a self-balancing telepresence robot on your ownBook DescriptionEvery robot needs a “brain,” and the Arduino platform provides an incredibly accessible way to bring your Arduino robot to life. Anyone can easily learn to build and program their own robots with Arduino for hobby and commercial uses, making Arduino-based robots the popular choice for school projects, college courses, and the rapid prototyping of industrial applications!Practical Arduino Robotics is a comprehensive guide that equips you with the necessary skills and techniques that can be applied to various projects and applications, from automating repetitive tasks in a laboratory to building engaging mobile robots.Building on basic knowledge of programming and electronics, this book teaches you how to choose the right components, such as Arduino boards, sensors, and motors, and write effective code for your robotics project, including the use of advanced third-party Arduino libraries and interfaces, such as Analog, SPI, I2C, PWM, and UART. You'll also learn different ways to command your robots wirelessly, such as over Wi-Fi. Finally, with basic to advanced project examples, this book illustrates how to build exciting autonomous robots like a self-balancing telepresence robot.By the end of this book, you'll be able to design and create your own custom robots for a wide variety of applications.What you will learnUnderstand and use the various interfaces of an Arduino boardWrite the code to communicate with your sensors and motorsImplement and tune methods for sensor signal processingUnderstand and implement state machines that control your robotImplement feedback control to create impressive robot capabilitiesIntegrate hardware and software components into a reliable robotic systemTune, debug, and improve Arduino-based robots systematicallyWho this book is forIf you're excited about robotics and want to start creating your own robotics projects from the hardware up, this book is for you. Whether you are an experienced software developer who wants to learn how to build physical robots, a hobbyist looking to elevate your Arduino skills to the next level, or a student with the desire to kick-start your DIY robotics journey, you'll find this book very useful. In order to successfully work with this book, you'll need basic familiarity with electronics, Arduino boards and the core concepts of computer programming.
Practical Arduino Robotics: A hands-on guide to bringing your robotics ideas to life using Arduino
by Lukas KaulBuild your hardware, electronics, and programming skills, and use them to realize your advanced robotics projects with this powerful platform Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesBecome an expert in selecting sensors, motors, and Arduino boards for any robotics projectDiscover how to write effective and reusable code for your Arduino robotics projectsLearn to build a camera-based line follower and a self-balancing telepresence robot on your ownBook DescriptionEvery robot needs a “brain,” and the Arduino platform provides an incredibly accessible way to bring your Arduino robot to life. Anyone can easily learn to build and program their own robots with Arduino for hobby and commercial uses, making Arduino-based robots the popular choice for school projects, college courses, and the rapid prototyping of industrial applications! Practical Arduino Robotics is a comprehensive guide that equips you with the necessary skills and techniques that can be applied to various projects and applications, from automating repetitive tasks in a laboratory to building engaging mobile robots. Building on basic knowledge of programming and electronics, this book teaches you how to choose the right components, such as Arduino boards, sensors, and motors, and write effective code for your robotics project, including the use of advanced third-party Arduino libraries and interfaces, such as Analog, SPI, I2C, PWM, and UART. You'll also learn different ways to command your robots wirelessly, such as over Wi-Fi. Finally, with basic to advanced project examples, this book illustrates how to build exciting autonomous robots like a self-balancing telepresence robot. By the end of this book, you'll be able to design and create your own custom robots for a wide variety of applications.What you will learnUnderstand and use the various interfaces of an Arduino boardWrite the code to communicate with your sensors and motorsImplement and tune methods for sensor signal processingUnderstand and implement state machines that control your robotImplement feedback control to create impressive robot capabilitiesIntegrate hardware and software components into a reliable robotic systemTune, debug, and improve Arduino-based robots systematicallyWho this book is forIf you’re excited about robotics and want to start creating your own robotics projects from the hardware up, this book is for you. Whether you are an experienced software developer who wants to learn how to build physical robots, a hobbyist looking to elevate your Arduino skills to the next level, or a student with the desire to kick-start your DIY robotics journey, you’ll find this book very useful. In order to successfully work with this book, you’ll need basic familiarity with electronics, Arduino boards and the core concepts of computer programming.
Practical Artificial Intelligence for Internet of Medical Things: Emerging Trends, Issues, and Challenges (Advances in Smart Healthcare Technologies)
by Chinmay Chakraborty Ben Othman Soufiene Faris A. AlmalkiThis book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.
Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI-Driven Apps
by Paris Buttfield-Addison Jonathon Manning Tim Nugent Mars GeldardCreate and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you’ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more.AI is increasingly essential for every developer—and you don’t need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple’s Python-powered Turi Create and Google’s Swift for TensorFlow to train and build models.I: Fundamentals and Tools—Learn AI basics, our task-based approach, and discover how to build or find a dataset.II: Task Based AI—Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models.III: Beyond—Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to
Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
by Arnaldo Pérez CastañoDiscover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects.People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses.What You’ll LearnUnderstand agents and multi agents and how they are incorporatedRelate machine learning to real-world problems and see what it means to youApply supervised and unsupervised learning techniques and methods in the real worldImplement reinforcement learning, game programming, simulation, and neural networksWho This Book Is ForComputer science students, professionals, and hobbyists interested in AI and its applications.
Practical Aspects of Declarative Languages
by Marco Gavanelli John ReppyThis book constitutes the refereed proceedings of the18th International Symposium on Practical Aspects of Declarative Languages,PADL 2016, held in St. Petersburg, FL, USA, in January 2016. The 11 revised papers presented were carefully reviewedand selected from 17 initial submissions for inclusion in the book. PADL is a forumfor researchers and practitioners to present original work emphasizing novelapplications and implementation techniques for all forms of declarativeconcepts, including, functional, logic, constraints, etc.
Practical Aspects of Declarative Languages
by Yuliya Lierler Walid TahaThis book constitutes the proceedings of the 19th International Symposium on Practical Aspects of Declarative Languages, PADL 2017, held in Paris, France, in January 2017 and collocated with the ACM SIGPLAN Symposium on Principles of Programming Languages. The 14 papers presented in this volume were carefully reviewed and selected from 27 submissions. They deal with novel applications and implementation techniques for all forms of declarative languages, including but not limited to logic, constraint, and functional languages.
Practical Aspects of Declarative Languages: 21th International Symposium, PADL 2019, Lisbon, Portugal, January 14-15, 2019, Proceedings (Lecture Notes in Computer Science #11372)
by Moa Johansson José Júlio AlferesThis book constitutes the refereed proceedings of the 21st International Conference on Practical Aspects of Declarative Languages, PADL 2019, held in Lisbon, Portugal, in January 2019. The 14 revised full papers were carefully reviewed and selected from 35 submissions. The papers present original work emphasizing novel applications and implementation techniques for all forms of declarative concepts, including logic, constraint, and functional languages.
Practical Aspects of Declarative Languages: 22nd International Symposium, PADL 2020, New Orleans, LA, USA, January 20–21, 2020, Proceedings (Lecture Notes in Computer Science #12007)
by Yanhong Annie Liu Ekaterina KomendantskayaThis book constitutes the refereed proceedings of the 22nd International Symposium on Practical Aspects of Declarative Languages, PADL 2020, held in New Orleans, USA, in January 2020. The 10 full and 4 short papers were carefully reviewed and selected from 24 submissions. The papers present original work emphasizing novel applications and implementation techniques for all forms of declarative concepts, including programming with sets, functions, logic, and constraints. The papers are organized in the following topical headings: logical engines and applications; answer set programming systems; memory and real-time in functional programming; reasoning and efficient implementation; and small languages and implementation.
Practical Aspects of Declarative Languages: 23rd International Symposium, PADL 2021, Copenhagen, Denmark, January 18-19, 2021, Proceedings (Lecture Notes in Computer Science #12548)
by José F. Morales Dominic OrchardThis book constitutes the refereed proceedings of the 23rd International Symposium on Practical Aspects of Declarative Languages, PADL 2021, held in Copenhagen, Denmark, in January 2021. The 10 full papers were carefully reviewed and selected from 21 submissions. The papers present original work emphasizing novel applications and implementation techniques for all forms of declarative concepts, including programming with sets, functions, logic, and constraints. The papers are organized in the following topical headings: Foundations and Programming Concepts; Applications of Declarative Languages, and Declarative Approaches to Testing and Debugging. Due to the Corona pandemic PADL 2021 was held as a virtual event.
Practical Aspects of Declarative Languages: 24th International Symposium, PADL 2022, Philadelphia, PA, USA, January 17–18, 2022, Proceedings (Lecture Notes in Computer Science #13165)
by James Cheney Simona PerriThis book constitutes the refereed proceedings of the 24th International Conference on Practical Aspects of Declarative Languages, PADL 2022, held in Philadelphia, PA, USA, during January 17-18, 2022. The 9 full papers and 4 short papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: answer set programming; functional programming; languages, methods and tools; and declarative solutions.
Practical Aspects of Declarative Languages: 26th International Symposium, PADL 2024, London, UK, January 15–16, 2024, Proceedings (Lecture Notes in Computer Science #14512)
by Martin Gebser Ilya SergeyThis book constitutes the refereed proceedings of the 26th International Conference on Practical Aspects of Declarative Languages, PADL 2024, held in London, UK, during January 17–19, 2024.The 13 full papers included in this book were carefully reviewed and selected from 25 submissions. The accepted papers span a range of topics related to functional and logic programming, including reactive programming, hardware implementations, implementation of marketplaces, query languages, and applications of declarative programming techniques to artificial intelligence and machine learning.
Practical Aspects of Declarative Languages: 27th International Symposium, PADL 2025, Denver, CO, USA, January 20–21, 2025, Proceedings (Lecture Notes in Computer Science #15537)
by Esra Erdem Germán VidalThis book constitutes the refereed proceedings of the 27th International Symposium on Practical Aspects of Declarative Languages, PADL 2025, held in Denver, CO, USA, during January 20–21, 2025. The 15 full papers included in this book were carefully reviewed and selected from 26 submissions. The accepted papers span a range of topics related to functional and logic programming, including some novel applications of Answer Set Programming, language extensions, runtime monitoring, program transformations, type-checking, and applications of declarative programming techniques to artificial intelligence and machine learning, among others.
Practical Astronomy with your Calculator or Spreadsheet
by Peter Duffett-Smith Jonathan ZwartNow in its fourth edition, this highly regarded book is ideal for those who wish to solve a variety of practical and recreational problems in astronomy using a scientific calculator or spreadsheet. Updated and extended, this new edition shows you how to use spreadsheets to predict, with greater accuracy, solar and lunar eclipses, the positions of the planets, and the times of sunrise and sunset. Suitable for worldwide use, this handbook covers orbits, transformations and general celestial phenomena, and is essential for anyone wanting to make astronomical calculations for themselves. With clear, easy-to-follow instructions for use with a pocket calculator, shown alongside worked examples, it can be enjoyed by anyone interested in astronomy, and will be a useful tool for software writers and students studying introductory astronomy. High-precision spreadsheet methods for greater accuracy are available at www. cambridge. org/practicalastronomy.
Practical Audio Electronics
by Kevin RobinsonPractical Audio Electronics is a comprehensive introduction to basic audio electronics and the fundamentals of sound circuit building, providing the reader with the necessary knowledge and skills to undertake projects from scratch. Imparting a thorough foundation of theory alongside the practical skills needed to understand, build, modify, and test audio circuits, this book equips the reader with the tools to explore the sonic possibilities that emerge when electronics technology is applied innovatively to the making of music. Suitable for all levels of technical proficiency, this book encourages a deeper understanding through highlighted sections of advanced material and example projects including circuits to make, alter, and amplify audio, providing a snapshot of the wide range of possibilities of practical audio electronics. An ideal resource for students, hobbyists, musicians, audio professionals, and those interested in exploring the possibilities of hardware-based sound and music creation.
Practical Autodesk AutoCAD 2021 and AutoCAD LT 2021: A no-nonsense, beginner's guide to drafting and 3D modeling with Autodesk AutoCAD
by Yasser Shoukry Jaiprakash PandeyLearn 2D drawing and 3D modeling from scratch using AutoCAD 2021 and its more affordable LT version to become a CAD professional Key Features Explore the AutoCAD GUI, file format, and drawing tools to get started with CAD projects Learn to use drawing management tools for working efficiently on large projects Discover techniques for creating, modifying, and managing 3D models and converting 2D plans into 3D models Book Description AutoCAD and AutoCAD LT are one of the most versatile software applications for architectural and engineering designs and the most popular computer-aided design (CAD) platform for 2D drafting and 3D modeling. This hands-on guide will take you through everything you need to know to make the most out of this powerful tool, starting from a simple tour of the user interface through to using advanced tools. Starting with basic drawing shapes and functions, you'll get to grips with the fundamentals of CAD designs. You'll then learn about effective drawing management using layers, dynamic blocks, and groups and discover how to add annotations and plot like professionals. The book delves into 3D modeling and helps you convert your 2D drawings into 3D models and shapes. As you progress, you'll cover advanced tools and features such as isometric drawings, drawing utilities for managing and recovering complex files, quantity surveying, and multidisciplinary drawing files using xRefs, and you'll learn how to implement them with the help of practical exercises at the end of each chapter. Finally, you'll get to grips with rendering and visualizing your designs in AutoCAD. By the end of the book, you'll have developed a solid understanding of CAD principles and be able to work with AutoCAD software confidently to build impressive 2D and 3D drawings. What you will learn Understand CAD fundamentals using AutoCAD's basic functions, navigation, and components Create complex 3d solid objects starting from the primitive shapes using the solid editing tools Working with reusable objects like Blocks and collaborating using xRef Explore some advanced features like external references and dynamic block Get to grips with surface and mesh modeling tools such as Fillet, Trim, and Extend Use the paper space layout in AutoCAD for creating professional plots for 2D and 3D models Convert your 2D drawings into 3D models Who this book is for The book is for design engineers, mechanical engineers, architects, and anyone working in construction, manufacturing, or similar fields. Whether you're an absolute beginner, student, or professional looking to upgrade your engineering design skills, you'll find this AutoCAD book useful. No prior knowledge of CAD or AutoCAD is necessary.
Practical Autodesk AutoCAD 2023 and AutoCAD LT 2023: A beginner's guide to 2D drafting and 3D modeling with Autodesk AutoCAD, 2nd Edition
by Yasser Shoukry Jaiprakash PandeyLearn 2D drawing and 3D modeling from scratch using AutoCAD and AutoCAD LT 2023 and become a CAD professionalKey FeaturesLearn techniques for making, modifying, and managing AutoCAD 2D and 3D drawingsUnderstand how to use reusable and named objects like blocks, xRef, and layersScale, annotate, and print drawings from model space and layoutBook DescriptionAutoCAD is one of the most versatile software applications for architectural and engineering designs and the most popular computer-aided design (CAD) platform for 2D drafting and 3D modeling. This hands-on 2nd edition guide will take you through everything you need to know to make the most out of this powerful tool, from a simple tour of the user interface to using advanced tools.Starting with basic drawing shapes and functions, you'll get to grips with the fundamentals of CAD designs. You'll then learn about effective drawing management using layers, dynamic blocks, and groups, and discover how to add annotations and plots like a professional. As you progress, the book will show you how to convert your 2D drawings into 3D models and shapes. You'll also discover advanced features, such as isometric drawings, drawing utilities for managing and recovering complex files, quantity surveying, and multidisciplinary drawing files using xRefs. Finally, you'll focus on rendering and visualizing your designs in AutoCAD.By the end of this book, you'll have developed a solid understanding of CAD principles and be able to work with AutoCAD software confidently to build impressive 2D and 3D creations.What you will learnUnderstand CAD fundamentals like functions, navigation, and componentsCreate complex 3D objects using primitive shapes and editing toolsWork with reusable objects like blocks and collaborate using xRefExplore advanced features like external references and dynamic blocksDiscover surface and mesh modeling tools such as Fillet, Trim, and ExtendUse the paper space layout to create plots for 2D and 3D modelsConvert your 2D drawings into 3D modelsWho this book is forThis 3D modeling book is for design engineers, mechanical engineers, architects, and anyone working in construction, manufacturing, or similar fields. Whether you're an absolute beginner, student, or professional looking to upgrade your engineering design skills, you'll find this AutoCAD book useful. No prior knowledge of CAD or AutoCAD is necessary.
Practical Automated Machine Learning Using H2O.ai: Discover the power of automated machine learning, from experimentation through to deployment to production
by Salil AjgaonkarAccelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.aiKey FeaturesLearn how to train the best models with a single click using H2O AutoMLGet a simple explanation of model performance using H2O ExplainabilityEasily deploy your trained models to production using H2O MOJO and POJOBook DescriptionWith the huge amount of data being generated over the internet and the benefits that Machine Learning (ML) predictions bring to businesses, ML implementation has become a low-hanging fruit that everyone is striving for. The complex mathematics behind it, however, can be discouraging for a lot of users. This is where H2O comes in – it automates various repetitive steps, and this encapsulation helps developers focus on results rather than handling complexities. You'll begin by understanding how H2O's AutoML simplifies the implementation of ML by providing a simple, easy-to-use interface to train and use ML models. Next, you'll see how AutoML automates the entire process of training multiple models, optimizing their hyperparameters, as well as explaining their performance. As you advance, you'll find out how to leverage a Plain Old Java Object (POJO) and Model Object, Optimized (MOJO) to deploy your models to production. Throughout this book, you'll take a hands-on approach to implementation using H2O that'll enable you to set up your ML systems in no time. By the end of this H2O book, you'll be able to train and use your ML models using H2O AutoML, right from experimentation all the way to production without a single need to understand complex statistics or data science.What you will learnGet to grips with H2O AutoML and learn how to use itExplore the H2O Flow Web UIUnderstand how H2O AutoML trains the best models and automates hyperparameter optimizationFind out how H2O Explainability helps understand model performanceExplore H2O integration with scikit-learn, the Spring Framework, and Apache StormDiscover how to use H2O with Spark using H2O Sparkling WaterWho this book is forThis book is for engineers and data scientists who want to quickly adopt machine learning into their products without worrying about the internal intricacies of training ML models. If you're someone who wants to incorporate machine learning into your software system but don't know where to start or don't have much expertise in the domain of ML, then you'll find this book useful. Basic knowledge of statistics and programming is beneficial. Some understanding of ML and Python will be helpful.
Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions
by Wee Hyong Tok Parashar Shah Deepak MukunthuDevelop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how to apply automated machine learning (AutoML), a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.Building machine-learning models is an iterative and time-consuming process. Even those who know how to create ML models may be limited in how much they can explore. Once you complete this book, you’ll understand how to apply AutoML to your data right away.Learn how companies in different industries are benefiting from AutoMLGet started with AutoML using AzureExplore aspects such as algorithm selection, auto featurization, and hyperparameter tuningUnderstand how data analysts, BI professions, developers can use AutoML in their familiar tools and experiencesLearn how to get started using AutoML for use cases including classification, regression, and forecasting.
Practical Automation with PowerShell
by Matthew DowstTake PowerShell beyond simple scripts and build time-saving automations for your team, your users, and the world.In Practical Automation with PowerShell you will learn how to: Build PowerShell functions to automate common and complex tasks Create smart automations that are adaptable to new challenges Structure your code for sharing and reusability Store and secure your automations Execute automations with Azure Automation, Jenkins, Task Scheduler, and Cron Share your automations with your team and non-technical colleagues Store and retrieve data, credentials, and variables Use source control solutions to maintain and test code changes Provide front-end UI solutions for PowerShell automations Practical Automation in PowerShell reveals how you can use PowerShell to build automation solutions for a huge number of common admin and DevOps tasks. Author Matthew Dowst uses his decades of experience to lay out a real blueprint for setting up an enterprise scripting environment with PowerShell. The book goes beyond the basics to show you how to handle the unforeseen complexities that can keep automations from becoming reusable and resilient. From the console to the cloud, you'll learn how to manage your code, avoid common pitfalls, and create sharable automations that are adaptable to different use cases. About the Technology The PowerShell scripting language is a force multiplier, giving you programmatic control over your whole data center. With this powerful tool, you can create reusable automations that radically improve consistency and productivity on your Ops team. This book shows you how to design, write, organize, and deploy scripts to automate operations on systems of all sizes, from local servers to enterprise clusters in the cloud. About the Book Practical Automation with PowerShell: Effective scripting from the console to the cloud shows you how to build PowerShell automations for local and cloud systems. In it, you&’ll find tips for identifying automatable tasks, techniques for structuring and managing scripts, and lots of well-explained example code. You&’ll even learn how to adapt existing scripts to new use cases and empower non-technical users through easy-to-understand SharePoint frontends. What&’s Inside Structure PowerShell code for sharing and reusability Store and secure your automations Execute automation with Azure Automation, Jenkins, Task Scheduler, and Cron Store and retrieve data, credentials, and variables Use source control solutions to maintain and test code changes About the Reader For sysadmin and IT professionals who manage backend systems. About the Author Matthew Dowst has over 15 years of experience in IT management and consulting. Table of contents PART 1 1 PowerShell automation 2 Get started automating PART 2 3 Scheduling automation scripts 4 Handling sensitive data 5 PowerShell remote execution 6 Making adaptable automations 7 Working with SQL 8 Cloud-based automation 9 Working outside of PowerShell 10 Automation coding best practices PART 3 11 End-user scripts and forms 12 Sharing scripts among a team 13 Testing your scripts 14 Maintaining your code
Practical Azure Application Development
by Thurupathan VijayakumarGet started and learn a step-by-step approach to application development using Microsoft Azure. Select the right services to solve the problem at hand in a cost-effective manner and explore the potential different services and how they can help in building enterprise applications. Azure has an ample amount of resources and tutorials, but most of them focus on specific services and explain those services on their own and in a given context. Practical Azure Application Development focuses on building complete solutions on Azure using different services. This book gives you the holistic approach to Azure as a solutions development platform. This book: Covers Azure as a solution development platform for building applications Provides real-world examples to understand why and when an Azure service is required Discusses how Azure helps to achieve continuous improvement and expansion of an application Provides application development experience from purchasing Azure to integrating with core Azure services, including an introduction to DevOps with VSTS What You'll Learn Use Azure services to solve real-world software problems Define the usage of Azure services and select the right services to solve the problem at hand Make clear and less ambiguous decisions about using different Azure services Take a holistic approach to Azure as a solution platform Understand the basics of security, data protection, and cost controls in Azure Who This Book Is For Developers, software engineers, and architects who have experience in . NET and web development, but have little or no knowledge in planning and developing an application on Azure
Practical Azure Functions: A Guide to Web, Mobile, and IoT Applications
by Agus Kurniawan Wely LauStart developing Azure Functions and building simple solutions for serverless computing without worrying about infrastructure. With the increased need for deploying serverless computing, Azure Functions integrates with other Azure resources. This book is a quick reference and consists of a practical and problem-driven approach with the latest technology. Guided by step-by-step explanations and sample projects, you'll set up, build, and deploy Azure Functions to get the most out of this compute-on-demand service. After a foundational introduction to Azure Functions you'll prepare a development environment to serve and process an IoT Telemetry system, create Microservices, and monitor Azure Functions services to get application insights. What You’ll LearnReview the Interaction between Azure Functions and Azure data servicesApply Azure Functions in web applications and build interaction systems for mobile applicationsDevelop a serverless micro-service Serve and process IoT Telemetry systemsMonitor Azure Functions services and get application insightsWho This Book Is ForDevelopers, students, professionals and anyone interested in Azure Function technology and the Azure platform.
Practical Azure SQL Database for Modern Developers: Building Applications in the Microsoft Cloud
by Sanjay Mishra Davide Mauri Silvano Coriani Anna Hoffman Jovan PopovicHere is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a developer's point of view, helping you master its feature set and create applications that perform well and delight users.Core to the book is showing you how Azure SQL Database provides relational and post-relational support so that any workload can be managed with easy accessibility from any platform and any language. You will learn about features ranging from lock-free tables to columnstore indexes, and about support for data formats ranging from JSON and key-values to the nodes and edges in the graph database paradigm. Reading this book prepares you to deal with almost all data management challenges, allowing you to create lean and specialized solutions having the elasticity and scalability that are needed in the modern world. What You Will LearnMaster Azure SQL Database in your development projects from design to the CI/CD pipelineAccess your data from any programming language and platformCombine key-value, JSON, and relational data in the same databasePush data-intensive compute work into the database for improved efficiencyDelight your customers by detecting and improving poorly performing queriesEnhance performance through features such as columnstore indexes and lock-free tablesBuild confidence in your mastery of Azure SQL Database's feature setWho This Book Is ForDevelopers of applications and APIs that benefit from cloud database support, developers who wish to master their tools (including Azure SQL Database, and those who want their applications to be known for speedy performance and the elegance of their code
Practical Backscatter Communication for the Internet of Things (SpringerBriefs in Computer Science)
by Jiangchuan Liu Wei Gong Weiqi WuThis book is devoted to offering a comprehensive and detailed discussion of the design of high-reliability, high-efficiency spectrum utilization, cross-technology support and concurrent backscatter schemes. It begins with the introductory Chapter 1, introducing the background of backscatter communication, including its concepts and characteristics. Then it highlights the potential IoT applications assisted by backscatter communication. The importance of high-reliability, high-efficiency spectrum utilization, cross-technology and concurrent backscatter schemes is emphasized to actualize these applications. Chapters 2 thru 5 discuss in detail how to achieve reliable backscatter (Chapter 2), spectrum-efficient backscatter (Chapter 3), cross-technology backscatter (Chapter 4) and concurrent backscatter (Chapter 5). Chapter 6 summarizes this book and provides a vision for future research directions to bring a broad class of IoT applications into our everyday lives. This book targets scientists, researchers, engineers and advanced-level students studying or working in pervasive computing, IoT, backscatter communication and other related areas. Professionals working in this related field will also want to purchase this book finding it a valuable resource.
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
by Giancarlo Zaccone Serguei Boldyrev Nataraj Dasgupta Patrick HannahGet command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.