- Table View
- List View
Practical Application Development with AppRun: Building Reliable, High-Performance Web Apps Using Elm-Inspired Architecture, Event Pub-Sub, and Components
by Yiyi SunExplore the concepts, patterns, and architecture behind AppRun applications. With this end-to-end guide, you will be able to build web apps fast to the market with the low learning curve and high development productivity. You will learn how to break down the application logic into three decoupled parts: state, view, and update. You will then see how to connect web page events to the AppRun event life-cycle, route user interactions, access data from the remote servers, compose the user interface using components, and integrate 3rd party libraries. Following examples of various apps, such as the counter app, to-do app, weather app, hacker news reader app, and blog app, you will have all the techniques for developing your AppRun apps including the line of business apps. You will also review wider development concepts such as using strongly typed states practically, unit testing strategies for app state changes, time travel debugging, async web API invocation, server-side virtual DOM, module compilation optimization, the developer tools, and more.What You'll LearnUse AppRun to develop web apps end-to-endUnderstand the technology behind AppRunEvaluate and compare architecture designDevelop applications using Elm architecture, event publication and subscription, and components. Who This Book Is For Web app developers and architects; useful for beginners learning front-end development and more experienced developers interested in learning about AppRun and modern development concepts and principles more generally
Decoupled Drupal in Practice: Architect and Implement Decoupled Drupal Architectures Across the Stack
by Preston SoGain a clear understanding of the most important concepts in the decoupled CMS landscape. You will learn how to architect and implement decoupled Drupal architectures across the stack—from building the back end and designing APIs to integrating with front-end technologies. You'll also review presenting data through consumer applications in widely adopted technologies such as Angular, Ember, React, and Vue.js.Featuring a foreword by Drupal founder and project lead Dries Buytaert, the first part of this book chronicles the history of the CMS and the server–client divide, analyzes the risks and rewards of decoupled CMS architectures, and presents architectural patterns. From there, the book explores the core and contributed landscape for decoupled Drupal, authentication mechanisms, and the surrounding tooling ecosystem before delving into consumer implementations in a variety of technologies. Finally, a series of chapters on advanced topics feature the Drupal REST plugin system, schemas and generated documentation, and caching. Several projects point to a decoupled future for Drupal, including the Contenta CMS and work to modernize Drupal's JavaScript using React. Begin learning about these and other exciting developments with Decoupled Drupal today. What You’ll Learn Evaluate the risks and rewards of decoupled Drupal and classify its architecturesAuthenticate requests to Drupal using OAuth, JWT, and Basic AuthenticationConsume and manipulate Drupal content via API through HTTP requestsIntegrate with other consumer applications for native mobile and desktop as well as set-top boxes (Roku, Apple TV, Samsung TV)Add new resources to Drupal's REST API using the REST plugin systemGenerate API documentation that complies with the OpenAPI (Swagger) standardWho This Book Is For Those with some exposure to CMSes like WordPress and Drupal and those who wish to follow along with JavaScript application development will benefit. A familiarity with API-first or services-oriented architectures is helpful but not presumed.
Ethereum for Architects and Developers: With Case Studies And Code Samples In Solidity
by Debajani MohantyExplore the Ethereum ecosystem step by step with extensive theory, labs, and live use cases. This book takes you through BlockChain concepts; decentralized applications; Ethereum’s architecture; Solidity smart contract programming with examples; and testing, debugging, and deploying smart contracts on your local machine and on the cloud. You’ll cover best practices for writing contracts with ample examples to allow you to write high-quality contracts with optimal usage of fuel. In later chapters, Ethereum for Architects and Developers covers use cases from different business areas, such as finance, travel, supply-chain, insurance, and land registry. Many of these sectors are explained with flowcharts, diagrams, and sample code that you can refer to and further enhance in live projects.By the end of the book, you will have enough information to use Ethereum to create value for your business processes and build foolproof data storage for smoother execution of business.What You Will Learn Discover key BlockChain conceptsMaster the architecture, building blocks, and ecosystem of EthereumDevelop smart contracts from scratch Debug, test, and deploy to test Take advantage of Ethereum in your business area Who This Book Is ForBlockChain developers and architects wanting to develop decentralized Ethereum applications or learn its architecture.
Java Design Patterns: A Hands-On Experience with Real-World Examples
by Vaskaran SarcarGet hands-on experience implementing 26 of the most common design patterns using Java and Eclipse. In addition to Gang of Four (GoF) design patterns, you will also learn about alternative design patterns, and understand the criticisms of design patterns with an overview of anti-patterns. For each pattern you will see at least one real-world scenario, a computer-world example, and a complete implementation including output.This book has three parts. The first part covers 23 Gang of Four (GoF) design patterns. The second part includes three alternative design patterns. The third part presents criticisms of design patterns with an overview of anti-patterns. You will work through easy-to-follow examples to understand the concepts in depth and you will have a collection of programs to port over to your own projects.A Q&A session is included in each chapter and covers the pros and cons of each pattern. The last chapter presents FAQs about the design patterns. The step-by-step approach of the book helps you apply your skills to learn other patterns on your own, and to be familiar with the latest version of Java and Eclipse.What You'll Learn Work with each of the design patternsImplement design patterns in real-world applicationsChoose from alternative design patterns by comparing their pros and consUse the Eclipse IDE to write code and generate outputRead the in-depth Q&A session in each chapter with pros and cons for each design patternWho This Book Is For Software developers, architects, and programmers
Agile Office 365: Successful Project Delivery Practices for an Evolving Platform
by Haniel CroitoruPlan, deploy, and run Office 365 using an agile project management approach. This soup-to-nuts guide teaches you how to apply agile techniques in order to make your Office 365 implementation a success, even as the Microsoft Office 365 platform continues to evolve and introduce new features.The author's approach to teaching time- and resource-saving concepts mirrors the process a team might typically encounter in delivering software projects. Learning begins with an overview of Office 365 and Agile. From there, you delve into topics correlating to product conception, execution, and deployment. The book wraps up with a comprehensive discussion on how Office 365, straight out of the box, can be used as a tool to manage Office 365 deployments and other types of projects.What You'll LearnUnderstand what Office 365 is and why it is the world’s most popular online business appAdapt your delivery process to work with Office 365 and its regular update scheduleRecognize potential risk areas and develop mitigation strategiesDiscover the tools that are available to make your life easierManage the transition from deployment to operationsFollow end-to-end guidance packed with useful case studies and tools to make your job easierWho This Book Is ForProject managers, business analysts, IT managers, and other team members involved in managing Office 365 in order to deliver solutions for their organization. While not required, a basic understanding of Agile methodologies and Office 365 is useful.
Beginning Functional JavaScript: Uncover the Concepts of Functional Programming with EcmaScript 8
by Anto Aravinth Srikanth MachirajuUnderstand functional programming concepts and the functional nature of the JavaScript language. Starting with an introduction to functional programming concepts, you will learn the key differences between imperative and functional programming. Diving straight into JavaScript functions, you will learn to write them with ES8. Followed by this you will move to higher order functions and learn how 'Function as Data' opens up a world of possibilities. You will then build higher order functions with closures. Arrays will then be introduced, followed by a set of APIs you can use with them. You will learn how to transform one function to another using currying and partial application. The compose function will be discussed in detail, followed by functors and monads. After having an in-depth look at applicative functors, you will learn the new features offered in ES8. The concluding chapters of Beginning Functional JavaScript will show you how to use a functional toolkit to build a small library that allows you to develop web applications, followed by tips on testing your functional code.What You Will Learn Discover functional programming concepts such as string padding and async functionsIdentify how functions are treated in JavaScriptCreate a functional library that mimics Underscore.JSDeep dive into ES8 functional features such as spread operators and generatorsCreate a library that works like the react-redux pattern by following the functional paradigmWho This Book Is ForNovice JavaScript developers.
Eclipse TEA Revealed: Building Plug-ins and Creating Extensions for Eclipse
by Markus DuftDiscover the open source Eclipse Tasking Engine Advanced (TEA) project in this compact to-the-point book. It covers how to automate tasks using TEA and focuses on simplifying and aiding the creation of extensions for the Eclipse IDE in a way which makes them accessible both from the IDE’s UI and in a headless fashion from the command line.Additionally, Eclipse TEA Revealed explores the library of pre-built components included with TEA, mostly in the area of rich client platform (RCP)-based Java application development, for building projects, updating sites, dealing with target platforms, and more. After reading and using this book, you'll be up to speed on the fundamentals of Eclipse TEA and ready to use it for more productive Java-based application builds and developments.What You Will LearnView TEA’s internal architecture Work with TEA’s APIs Write TEA componentsUse the pre-built TEA componentsSet up headless environments using TEAWho This Book Is ForReaders should be Java developers interested in extending the Eclipse IDE and/or setting up headless environments based on Eclipse.
Building Chatbots with Python: Using Natural Language Processing And Machine Learning
by Sumit RajBuild your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment.The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will LearnGain the basics of natural language processing using Python Collect data and train your data for the chatbotBuild your chatbot from scratch as a web appIntegrate your chatbots with Facebook, Slack, and TelegramDeploy chatbots on your own serverWho This Book Is ForIntermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.
Practical Django 2 and Channels 2: Building Projects And Applications With Real-time Capabilities
by Federico MaraniLearn how to rapidly build your own ecommerce site by applying Django’s battle-tested components. This book demonstrates Django’s features and conventions to help you develop modern web applications quickly. You'll adopt a "learn by doing" approach and gain a deeper understanding Django by working through a project in which the real-time component will be critical. The book starts with the basics and explains the difference between a Django project and a Django app, the most important settings, how to change them, and the fundamentals of packaging. You'll then be introduced to all the standard tools of Django, along with a sample project. The book then moves on to Channels, a recent addition to the Django ecosystem. It extends the framework with support for real-time operations such as Websockets and other asynchronous features.Practical Django 2 and Channels 2 provides the practical concepts needed to create complex, database-driven websites as easily as possible.What You'll LearnBuild and deploy a simple company site with DjangoDevelop more complex, data-heavy sites using the Django ORMIntegrate Django with ChannelsUnit-test your solutionsWho This Book Is ForPython developers and web developers wanting to learn Django 2 and Channels 2
Beginning ARKit for iPhone and iPad: Augmented Reality App Development For Ios
by Wallace WangExplore how to use ARKit to create iOS apps and learn the basics of augmented reality while diving into ARKit specific topics. This book reveals how augmented reality allows you to view the screen on an iOS device, aim the camera at a nearby scene, and view both the real items in that scene as well as a graphic image overlaid on to that scene. You’ll start by accessing the camera and teaching your app to track the world around its device. You'll then see how to position nodes and create augmented reality shapes and textures. Next you’ll have your creations interact with their environment by programming workable physics, detecting planes, measuring distance, and applying virtual force. Finally you’ll learn how to hit test and troubleshoot your applications to ensure they interact with the real world around them seamlessly.ARKit is Apple’s software framework for creating augmented reality apps on iOS devices such as the iPhone and iPad. Unlike virtual reality that creates an entirely artificial world for the user to view and explore, Beginning ARKit for iPhone and iPad will show you how augmented reality places artificial items in an actual scene displayed by an iOS device’s camera. What You’ll LearnAccess the cameraUse ARKit’s hit testing for tracked geometryApply and combine real world and virtual physicsWho This Book Is ForProgrammers familiar with the basics of Swift programming who want to dive into developing iOS applications with Swift.
Cognitive Computing Recipes: Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow
by Adnan Masood Adnan HashmiSolve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries.Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will LearnBuild production-ready solutions using Microsoft Cognitive Services APIsApply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK)Solve enterprise problems in natural language processing and computer vision Discover the machine learning development life cycle – from formal problem definition to deployment at scaleWho This Book Is ForSoftware engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
by Dr Ossama EmbarakLook at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python. Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python. In conclusion, you will complete a detailed case study, where you’ll get a chance to revisit the concepts you’ve covered so far.What You Will LearnUse Python programming techniques for data scienceMaster data collections in Python Create engaging visualizations for BI systemsDeploy effective strategies for gathering and cleaning dataIntegrate the Seaborn and Matplotlib plotting systemsWho This Book Is ForDevelopers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.
Python for Data Mining Quick Syntax Reference
by Valentina PorcuLearn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning. What You'll LearnInstall Python and choose a development environmentUnderstand the basic concepts of object-oriented programmingImport, open, and edit filesReview the differences between Python 2.x and 3.xWho This Book Is ForProgrammers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.
Pro Microsoft Hyper-V 2019: Practical Guidance And Hands-on Labs
by Andy Syrewicze Richard SiddawaySuccessfully create and manage your Hyper-V environment without any of the marketing fluff. This book's lab-driven, hands-on approach will get you up and running as quickly and efficiently as possible.Virtualization is the cornerstone of today’s data center. As a modern-day IT pro, you are required to manage environments that are in a regular state of flux and increasing in both size and complexity. To keep up, you need practical information in a format that is succinct, yet comprehensive and highly applicable.Pro Hyper-V 2019 breaks down critical and time-saving topics into a series of easy-to-digest chapters, showing you how to perform Hyper-V management tasks using both GUI and PowerShell-based tools. Building on your existing knowledge of Windows Server management, Active Directory, networking, and storage, experts and Microsoft MVPs Syrewicze and Siddaway begin with a foundation of why computing workloads are virtualized. This is followed by chapters covering the range of management tasks associated with virtualized environments, including: managing hosts and guest machines; networking, storage, and high availability (host and guest); disaster recovery and virtual machine migration; and monitoring. What You'll LearnApply practical information to administer your Hyper-V environmentsUnderstand multiple administration styles (GUI, command line, and automation)Written by IT pros for IT pros – just the information you really need without the paddingAdminister and use containersUtilize hands-on labs to learn about storage, networking, and high availability Who This Book Is For IT administrators tasked with implementing Hyper-V environments or migrating from VMware. IT pros joining a team that is responsible for managing Hyper-V and “lone administrators” covering the gamut in smaller organizations will also find this book indispensable.
Principles of Package Design: Creating Reusable Software Components
by Matthias NobackApply design principles to your classes, preparing them for reuse. You will use package design principles to create packages that are just right in terms of cohesion and coupling, and are user- and maintainer-friendly at the same time.The first part of this book walks you through the five SOLID principles that will help you improve the design of your classes. The second part introduces you to the best practices of package design, and covers both package cohesion principles and package coupling principles. Cohesion principles show you which classes should be put together in a package, when to split packages, and if a combination of classes may be considered a "package" in the first place. Package coupling principles help you choose the right dependencies and prevent wrong directions in the dependency graph of your packages.What You'll LearnApply the SOLID principles of class designDetermine if classes belong in the same packageKnow whether it is safe for packages to depend on each otherWho This Book Is ForSoftware developers with a broad range of experience in the field, who are looking for ways to reuse,share, and distribute their code
Understanding Azure Data Factory: Operationalizing Big Data And Advanced Analytics Solutions
by Sudhir Rawat Abhishek NarainImprove your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.
Voice User Interface Design: Moving From Gui To Mixed Modal Interaction
by Ritwik DasguptaDesign and implement voice user interfaces. This guide to VUI helps you make decisions as you deal with the challenges of moving from a GUI world to mixed-modal interactions with GUI and VUI. The way we interact with devices is changing rapidly and this book gives you a close view across major companies via real-world applications and case studies.Voice User Interface Design provides an explanation of the principles of VUI design. The book covers the design phase, with clear explanations and demonstrations of each design principle through examples of multi-modal interactions (GUI plus VUI) and how they differ from pure VUI. The book also differentiates principles of VUI related to chat-based bot interaction models. By the end of the book you will have a vision of the future, imagining new user-oriented scenarios and new avenues, which until now were untouched.What You'll LearnImplement and adhere to each design principleUnderstand how VUI differs from other interaction modelsWork in the current VUI landscapeWho This Book Is ForInteraction designers, entrepreneurs, tech enthusiasts, thought leaders, and AI enthusiasts interested in the future of user experience/interaction, designing high-quality VUI, and product decision making
Pro SQL Server on Linux: Including Container-Based Deployment with Docker and Kubernetes
by Bob WardGet SQL Server up and running on the Linux operating system and containers. No database professional managing or developing SQL Server on Linux will want to be without this deep and authoritative guide by one of the most respected experts on SQL Server in the industry. Get an inside look at how SQL Server for Linux works through the eyes of an engineer on the team that made it possible.Microsoft SQL Server is one of the leading database platforms in the industry, and SQL Server 2017 offers developers and administrators the ability to run a database management system on Linux, offering proven support for enterprise-level features and without onerous licensing terms. Organizations invested in Microsoft and open source technologies are now able to run a unified database platform across all their operating system investments. Organizations are further able to take full advantage of containerization through popular platforms such as Docker and Kubernetes. Pro SQL Server on Linux walks you through installing and configuring SQL Server on the Linux platform. The author is one of the principal architects of SQL Server for Linux, and brings a corresponding depth of knowledge that no database professional or developer on Linux will want to be without. Throughout this book are internals of how SQL Server on Linux works including an in depth look at the innovative architecture.The book covers day-to-day management and troubleshooting, including diagnostics and monitoring, the use of containers to manage deployments, and the use of self-tuning and the in-memory capabilities. Also covered are performance capabilities, high availability, and disaster recovery along with security and encryption. The book covers the product-specific knowledge to bring SQL Server and its powerful features to life on the Linux platform, including coverage of containerization through Docker and Kubernetes.What You'll LearnLearn about the history and internal of the unique SQL Server on Linux architecture.Install and configure Microsoft’s flagship database product on the Linux platformManage your deployments using container technology through Docker and KubernetesKnow the basics of building databases, the T-SQL language, and developing applications against SQL Server on LinuxUse tools and features to diagnose, manage, and monitor SQL Server on LinuxScale your application by learning the performance capabilities of SQL ServerDeliver high availability and disaster recovery to ensure business continuitySecure your database from attack, and protect sensitive data through encryptionTake advantage of powerful features such as Failover Clusters, Availability Groups, In-Memory Support, and SQL Server’s Self-Tuning EngineLearn how to migrate your database from older releases of SQL Server and other database platforms such as Oracle and PostgreSQLBuild and maintain schemas, and perform management tasks from both GUI and command lineWho This Book Is ForDevelopers and IT professionals who are new to SQL Server and wish to configure it on the Linux operating system. This book is also useful to those familiar with SQL Server on Windows who want to learn the unique aspects of managing SQL Server on the Linux platform and Docker containers. Readers should have a grasp of relational database concepts and be comfortable with the SQL language.
Machine Learning with PySpark: With Natural Language Processing And Recommender Systems
by Pramod SinghBuild machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark. Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You’ll also see unsupervised machine learning models such as K-means and hierarchical clustering. A major portion of the book focuses on feature engineering to create useful features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and embedding for classification. After reading this book, you will understand how to use PySpark’s machine learning library to build and train various machine learning models. Additionally you’ll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications.What You Will LearnBuild a spectrum of supervised and unsupervised machine learning algorithmsImplement machine learning algorithms with Spark MLlib librariesDevelop a recommender system with Spark MLlib librariesHandle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit modelWho This Book Is For Data science and machine learning professionals.
Xamarin.Forms Solutions
by Gerald Versluis Steven ThewissenUse the solutions provided in this book to handle common challenges in Xamarin.Forms that are encountered on a daily basis. Working examples and techniques are presented that you can modify and drop directly into your own projects. You will be able to deliver working code faster than ever. Examples are made available through GitHub, maximizing the convenience and value this book provides to Xamarin.Forms developers. Solutions in the book are organized broadly into problem domains such as user interface for applications, data and security, connectivity and external services, and more. Within each domain the book presents specific solutions addressing challenges that are commonly faced. Under data and security, for example, you’ll find specific solutions around storing login credentials, local data caching, and sending authorization tokens in HTTP requests. Not only do the solutions in the book solve specific problems, they also present best practices that can inform and improve the quality of the code that you write. Xamarin.Forms Solutions is chock full of practical advice and code examples that no Xamarin.Forms programmer will want to be without. The basics of Xamarin.Forms are provided for beginning developers.What You'll LearnKnow the in-depth basics of Xamarin.Forms and the inner workingsCreate custom renderers and dependency servicesManage the appearance of user interfaces through styling and theming, layout options, rotation, and animationBuild sophisticated user interfaces using a variety of controls that allow for PDF viewing, barcode interpretation, searching and finding, and other controlsSecure your applications, and communicate securely with services via HTTP requestsSign and deploy your apps and optimize the binary file sizeWho This Book Is ForThose building mobile applications on the Xamarin platform for iOS and Android. By mixing together the solutions and a thorough explanation of the basics of Xamarin.Forms, the book spans the needs of beginning through intermediate Xamarin.Forms developers. Even experts will find a few gems to improve the quality and speed of their application development work.
Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed
by Roger CornejoUse an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance. The approach used in this book represents a step-change paradigm shift away from traditional methods. Instead of relying on a few hand-picked, favorite metrics, or wading through multiple specialized tables of information such as those found in an automatic workload repository (AWR) report, you will draw on all available data, applying big data methods and analytical techniques to help the performance tuner draw impactful, focused performance improvement conclusions. This book briefly reviews past and present practices, along with available tools, to help you recognize areas where improvements can be made. The book then guides you through a step-by-step method that can be used to take advantage of all available metrics to identify problem areas and work toward improving them. The method presented simplifies the tuning process and solves the problem of metric overload.You will learn how to: collect and normalize data, generate deltas that are useful in performing statistical analysis, create and use a taxonomy to enhance your understanding of problem performance areas in your database and its applications, and create a root cause analysis report that enables understanding of a specific performance problem and its likely solutions. What You'll LearnCollect and prepare metrics for analysis from a wide array of sourcesApply statistical techniques to select relevant metrics Create a taxonomy to provide additional insight into problem areasProvide a metrics-based root cause analysis regarding the performance issueGenerate an actionable tuning plan prioritized according to problem areasMonitor performance using database-specific normal rangesWho This Book Is ForProfessional tuners: responsible for maintaining the efficient operation of large-scale databases who wish to focus on analysis, who want to expand their repertoire to include a big data methodology and use metrics without being overwhelmed, who desire to provide accurate root cause analysis and avoid the cyclical fix-test cycles that are inevitable when speculation is used
API Development: A Practical Guide for Business Implementation Success
by Sascha PreibischImplement application programming interface (API) usability, security, availability, reliability, and scalability to extend your company’s market and potentially generate revenue. Businesses know they need to extend their markets into the digital world, and expose internal data to the Internet. This book shows how stakeholders within an organization can make it a successful journey. Stakeholder needs are not identical and departments experience difficulties discussing requirements with each other due to their different fundamental understanding of the process. The goal of this book is to introduce a common language for all business groups—developers, security experts, architects, product managers—around APIs and provide an overview of all aspects that need to be considered when exposing internal data. Most of the content in this book is based on feedback from real-world enterprise customer questions, challenges, and business scenarios. Practical guidance is provided on the business value of APIs, the general requirements to know, and how to undertake an audience-based implementation. You will learn how to protect access to data, as well as API error handling, documentation, management, integration, and more. What You’ll Learn Know the types of APIs and their business and technical requirementsThe main benefits of APIs, including business value, loose coupling, and frequent updatesProtect access to APIs through role-based access, attribute-based access, and rate limitingDistinguish between OAuth and OpenID Connect, and know how they both workManage API error handling, including what should and should not be handledUnderstand the distinction between runtime, dynamic data, and static dataLeverage external APIs as part of your own APIs Who This Book Is For API developers, API security experts, software architects, product owners, and business owners
Java Program Design: Principles, Polymorphism, and Patterns
by Edward ScioreGet a grounding in polymorphism and other fundamental aspects of object-oriented program design and implementation, and learn a subset of design patterns that any practicing Java professional simply must know in today’s job climate. Java Program Design presents program design principles to help practicing programmers up their game and remain relevant in the face of changing trends and an evolving language. The book enhances the traditional design patterns with Java's new functional programming features, such as functional interfaces and lambda expressions. The result is a fresh treatment of design patterns that expands their power and applicability, and reflects current best practice. The book examines some well-designed classes from the Java class library, using them to illustrate the various object-oriented principles and patterns under discussion. Not only does this approach provide good, practical examples, but you will learn useful library classes you might not otherwise know about.The design of a simplified banking program is introduced in chapter 1 in a non-object-oriented incarnation and the example is carried through all chapters. You can see the object orientation develop as various design principles are progressively applied throughout the book to produce a refined, fully object-oriented version of the program in the final chapter. What You'll LearnCreate well-designed programs, and identify and improve poorly-designed onesBuild a professional-level understanding of polymorphism and its use in Java interfaces and class hierarchiesApply classic design patterns to Java programming problems while respecting the modern features of the Java languageTake advantage of classes from the Java library to facilitate the implementation of design patterns in your programsWho This Book Is ForJava programmers who are comfortable writing non-object-oriented code and want a guided immersion into the world of object-oriented Java, and intermediate programmers interested in strengthening their foundational knowledge and taking their object-oriented skills to the next level. Even advanced programmers will discover interesting examples and insights in each chapter.
Beginning Programming Using Retro Computing: Learn Basic With A Commodore Emulator
by Gerald FriedlandLearn programming using the Commodore 16/Plus 4 system. Following this book, you and your children will not only learn BASIC programming, but also have fun emulating a retro Commodore system. There are many ways to bring the fun of learning to program in the 1980s back to life. For example, downloading the VICE emulator to a Raspberry Pi allows for the classic “turn on and program” experience and also provides some retro computing project fun. Many parents learned programming in this same way and can have fun helping their children follow the same path. You can also use this book as an opportunity to dust off your computing skills or learn programming concepts for the first time on a system that’s easy, approachable, and fun with a nostalgic twist. Commodore computers were the most sold computing devices before the iPhone. Nowadays, the Commodore system can be run using freely available emulation on modern computers. This book uses VICE, which is available for PC, Mac, Linux, as an online app, and on the Raspberry Pi. Beginning Programming Using Retro Computing offers simple programming concepts to give children and adults alike a sense of wonder in seeing that words they write have the power to do things, like play sounds, draw graphics, or finish math homework.
Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
by Himanshu SinghGain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.What You Will LearnDiscover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projectsWho This Book Is ForData scientists and software developers interested in image processing and computer vision.