Tabla de Contenidos: “…Chapter 20 Spatial Processing Image CompressionChapter 21 Video Compression; Appendix 1 Vector-space Algebra Concepts; Appendix 2 Image Error Measures; Appendix 3 Image And Video Compression Standards Development; Appendix 4 Huffman Coding Example; Annex 1 Pixelsoft Web Site Down Loadable Files; Annex 2 Piks Api Image Processing Example; Annex 3 Pikstool Gui Image Processing Example; Annex 4 Pikstool Chain Image Processing Example; Annex 5 MATLAB Image Processing Example; Bibliography; Back Cover…”

Tabla de Contenidos: “…An example with explanationAuthentication through certificates; API keys; Summary; Chapter 3: Security Management with RESTEasy; Fine-grained and coarse-grained security; Securing HTTP methods; HTTP method - POST; HTTP method - GET; Fine-grained security implementation through annotations; The @RolesAllowed annotation; The @DenyAll annotation; The @PermitAll annotation; Programmatical implementation of fine-grained security; Summary; Chapter 4: RESTEasy Skeleton Key; OAuth protocol; OAuth and RESTEasy Skeleton Key; What is RESTEasy Skeleton Key?…”

Tabla de Contenidos: “…Keynote 2 -- Modeling the Internet -- Transformation-Based Parallelization of Request-Processing Applications -- Model Driven Orchestration: Design for Service Compatibility -- Embedded Software Development with Projectional Language Workbenches -- Concern-Based (de)composition of Model-Driven Software Development Processes -- Flexible Model Element Introduction Policies for Aspect-Oriented Modeling -- Role-Based Generic Model Refactoring -- Precise Detection of Conflicting Change Operations Using Process Model Terms -- Capturing the Intention of Model Changes -- Selective and Consistent Undoing of Model Changes -- Modeling Features at Runtime -- Metamodel-Based Information Integration at Industrial Scale -- Inferring Meta-models for Runtime System Data from the Clients of Management APIs -- A Meta Model for Artefact-Orientation: Fundamentals and Lessons Learned in Requirements Engineering -- A Common Framework for Synchronization in Requirements Modelling Languages -- A Systematic Review of the Use of Requirements Engineering Techniques in Model-Driven Development -- Slicing of UML Models Using Model Transformations -- An Adjustable Transformation from OWL to Ecore -- Transforming Process Models: Executable Rewrite Rules versus a Formalized Java Program -- Keynote 3 -- Disciplined Heterogeneous Modeling -- Design Guidelines for the Development of Quality-Driven Model Transformations -- Early Deviation Detection in Modeling Activities of MDE Processes -- Artifact or Process Guidance, an Empirical Study -- Scaling Up Model Driven Engineering – Experience and Lessons Learnt -- Mod4J: A Qualitative Case Study of Model-Driven Software Development -- Modeling Issues: a Survival Guide for a Non-expert Modeler -- Monarch: Model-Based Development of Software Architectures -- Model-to-Metamodel Transformation for the Development of Component-Based Systems -- Architectural Descriptions as Boundary Objects in System and Design Work…”

Tabla de Contenidos: “…-- The cache key -- Eviction policy -- Least Recently Used (LRU) -- First In First Out (FIFO) -- Random -- Least Frequently Used (LFU) -- Cache eviction trigger -- Cache storage - memory or not -- Consistency of the data -- HTTP and caching -- Cache-Control -- ETag -- Vary -- HTTP caching and the Java EE API -- HTTP 2 promise -- JCache - the standard cache of Java EE -- Setting up JCache -- Programmatic API -- JCache configuration -- CDI integration -- Cache configuration -- @CacheDefaults -- Cache key -- Cache once -- Summary -- Chapter 7: Be Fault-Tolerant -- It will fail, no doubt!…”

Tabla de Contenidos: “…Azure Active Directory (AD) -- Microsoft Authenticator App -- Azure API Management -- Chapter 3, "Implementing Platform Protections" -- Azure Firewall -- Azure Firewall Manager -- Azure Application Gateway -- Azure Front Door -- Web Application Firewall -- Azure Service Endpoints -- Azure Private Links -- Azure DDoS Protection -- Microsoft Defender for Cloud -- Azure Container Registry -- Azure App Service -- Chapter 4, "Managing Security Operations" -- Azure Policy -- Microsoft Threat Modeling Tool -- Microsoft Sentinel -- How Does Microsoft Sentinel Work? …”

Tabla de Contenidos: “…Android N JIT compiler -- Memory leak -- Memory churn -- References -- Memory-side projects -- Project Svelte and Android N -- Best practices -- Data types -- Autoboxing -- Sparse array family -- ArrayMap -- Syntax -- Collections -- Enumerations -- Constants -- Object management -- Strings -- String concatenation -- Local variables -- Arrays versus collections -- Streams -- Memory patterns -- The object pool pattern -- The FlyWeight pattern -- Android component leaks -- Activities -- Services -- Processes -- The memory API -- Main components and memory management -- Debugging tools -- LogCat -- Dalvik -- ART -- The ActivityManager API -- StrictMode -- Dumpsys -- Meminfo -- ProcStats -- Summary -- Chapter 5: Multithreading -- Walkthrough -- Threading basics -- Multicore CPUs -- Threads -- Multithreaded applications -- Thread safety -- Android multithreading environment -- Processes -- Android application thread -- The UI thread -- Worker threads -- The binder thread -- Android thread messaging -- Best practices -- Threads -- HandlerThread -- When to use -- AsyncTask -- Methods -- Generics parameters -- States management -- Executor -- When to use -- Loaders -- LoaderManager -- LoaderCallbacks&lt -- D&gt -- -- Provided loaders -- When to use -- Services -- Life cycle -- Started Service -- Bound Service -- IntentService -- Inter-process communication -- Remote Procedure Call -- AIDL -- Messenger -- Advanced techniques -- BroadcastReceiver asynchronous techniques -- ContentProvider asynchronous techniques -- Repeating tasks -- Debugging tools -- StrictMode -- Summary -- Chapter 6: Networking -- Walkthrough -- Protocols -- Methods -- Headers -- Timeout -- Content -- Compression -- Response code -- Connection types -- Best practices -- Latency gauging -- Batching connections -- Prefetching -- Queuing connections -- Caching responses -- Cache control…”

Tabla de Contenidos: “…Chapter 10: Writing Your Custom Graph Algorithms with the Pregel API in Java -- Technical requirements -- Introducing the Pregel API -- GDS's features -- The Pregel API -- Implementing the PageRank algorithm -- The PageRank algorithm -- Simple Python implementation -- Pregel Java implementation -- Implementing the tolerance-stopping criteria -- Testing our code -- Test for the PageRank class -- Test for the PageRankTol class -- Using our algorithm from Cypher -- Adding annotations -- Building the JAR file -- Updating the Neo4j configuration -- Testing our procedure -- Summary -- Further reading -- Exercises -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Preface -- Chapter 1: Web Development -- Machine Learning Overview -- Web Communication -- Organizing the Web with HTML -- Web Development Using IDEs/Editors -- Building Blocks of Web Development -- HTML and CSS Programming -- Dynamic HTML -- Cascading Style Sheets -- Inline Style Sheets -- Embedded Style Sheets -- External Style Sheets -- JavaScript Basics -- Including the JavaScript -- Where to Insert JS Scripts -- JavaScript for an Event-Driven Process -- Document Object Model Manipulation -- Introduction to jQuery -- Summary -- References -- Chapter 2: Browser-Based Data Processing -- JavaScript Libraries and API for ML on the Web -- W3C WebML CG (Community Group) -- Manipulating HTML Elements Using JS Libraries -- p5.js -- Drawing Graphical Objects -- Manipulating DOM Objects -- DOM onEvent(mousePressed) Handling -- Multiple DOM Objects onEvent Handling -- HTML Interactive Elements -- Interaction with HTML and CSS Elements -- Hierarchical (Parent-Child) Interaction of DOM Elements -- Accessing DOM Parent-Child Elements Using Variables -- Graphics and Interactive Processing in the Browser Using p5.js -- Interactive Graphics Application -- Object Instance, Storage of Multiple Values, and Loop Through Object -- Getting Started with Machine Learning in the Browser Using ml5.js and p5.js -- Design, Develop, and Execute Programs Locally -- Method 1: Using Python - HTTP Server -- Method 2: Using Visual Studio Code Editor with Node.js Live Server -- Summary -- References -- Chapter 3: Human Pose Estimation in the Browser -- Human Pose at a Glance -- PoseNet vs. …”

Tabla de Contenidos: “…Data-Loading Patterns for REST APIs -- Data-Loading Patterns for Databases -- Data-Loading Patterns for Data Streams -- Chapter 16: Data Storage Patterns -- Relational Databases -- Storage Accounts -- Non-Relational Databases -- Chapter 17: Architecture for a Modern Data-Driven Application -- REST API, Tracking &amp -- Transaction Data -- Communicating with the Shops -- Data Warehousing and Analytics -- Index…”

Tabla de Contenidos: “…Summary -- Questions -- Further reading -- Chapter 7: Consuming the REST API with React -- Technical requirements -- Using promises -- Using the Fetch API -- Practical examples -- Summary -- Questions -- Further reading -- Chapter 8: Useful Third-Party Components for React -- Technical requirements -- Using third-party React components -- React Table -- The modal window component -- Material UI component library -- Routing -- Summary -- Questions -- Further reading -- Chapter 9: Setting Up the Frontend for Our Spring Boot RESTful Web Service -- Technical requirements -- Mocking up the user interface -- Preparing the Spring Boot backend -- Creating the React project for the frontend -- Summary -- Questions -- Further reading -- Chapter 10: Adding CRUD Functionalities -- Technical requirements -- Creating the list page -- The delete functionality -- The add functionality -- The edit functionality -- Other functionalities -- Summary -- Questions -- Further reading -- Chapter 11: Styling the Frontend with React Material-UI -- Technical requirements -- Using the Button component -- Using the Grid component -- Using the TextField components -- Using the AppBar component -- Using the SnackBar component -- Summary -- Questions -- Further reading -- Chapter 12: Testing Your Frontend -- Technical requirements -- Using Jest -- Snapshot testing -- Using Enzyme -- Summary -- Questions -- Further reading -- Chapter 13: Securing Your Application -- Technical requirements -- Securing the backend -- Securing the frontend -- Summary -- Questions -- Further reading -- Chapter 14: Deploying Your Application -- Technical requirements -- Deploying the backend -- Deploying the frontend -- Using Docker containers -- Summary -- Questions -- Further reading -- Chapter 15: Best Practices -- What to learn next -- HTML -- CSS -- HTTP -- JavaScript…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Chapter 1 Introducing ChatGPT -- Setting Up an Account -- Comparing ChatGPT, Search Engines, and Analytics -- Understanding What ChatGPT Is and Isn't -- Unwrapping ChatGPT fears -- Competing with ChatGPT for your job -- Redefining the Chatbot with ChatGPT and ChatGPT Plus -- Comparing the two versions -- Sampling its many uses -- Discovering other forms of GPT -- Grabbing Headlines and Disrupting Businesses -- Grokking that ChatGPT is a harbinger of exponential change -- Weighing the initial effect on existing businesses and industries -- Bracing for future upheaval -- Breaking the spell of heartless machine overlords -- Opening the Door for Bigger AI Products -- Categorizing types of Generative AI -- Understanding ChatGPT's creator, OpenAI -- Chapter 2 Discovering How ChatGPT Works -- What's Different About ChatGPT -- Peeking at the ChatGPT Architecture -- Discovering the supercomputer and GPUs underneath -- Considering the importance of transformers -- Setting the stage: training the model -- Grasping the importance of the dialogue format -- Pondering ChatGPT's limitations -- Increasing the Number of Versions and Integrations -- Glimpsing ChatGPT in Microsoft add-ins -- Mainstreaming ChatGPT via the power of an API -- Checking out early ChatGPT API adopters -- Expanding the field of extensions -- Building New Businesses Based on ChatGPT -- Chapter 3 Writing Prompts for ChatGPT -- Prompting Basics -- Starting a chat -- Reviewing your chat history and more -- Understanding Prompt Engineering -- Circumventing Token Limits and User History Storage Issues -- Thinking in Threads -- Chaining Prompts and Other Tips and Strategies…”

Tabla de Contenidos: “…Calling ActionScript Functions from JavaScript; 4. Using the File System API; 4.2. Accessing Files and Directories; 4.2.2. …”

Tabla de Contenidos: “…; 5.2 SIP Services and SIP Entities; 5.3 Terminal-Based or Network-Based SIP Services; 5.4 SIP Programming Interfaces; 5.5 Media-Programming APIs; 5.6 APIs Used in This Book; 5.7 Summary; PART II: CORE PROTOCOLS; CHAPTER 6 SIP Protocol Operation…”

Tabla de Contenidos: “…Finding friends of friends with Neo4jActivity streaming with Neo4j; Finding user similarity with Neo4j; Network reachability with Neo4j; Chapter 6: Developing Location-based Services with Neo4j; Introduction; Installing the Neo4j Spatial extension; Importing the Esri shapefiles; Importing the OpenStreetMap files; Importing data using the REST API; Creating a point layer using the REST API; Finding geometries within the bounding box; Finding geometries within a distance; Finding geometries within a distance using Cypher; Chapter 7: Visualization of Graphs; Introduction…”

Tabla de Contenidos: “…-- 2.1 The testing pyramid -- 2.2 Unit tests -- 2.3 Integration tests -- 2.4 End-to-end tests -- 2.4.1 Testing HTTP APIs -- 2.4.2 Testing GUIs -- 2.4.3 Acceptance tests and end-to-end tests are not the same -- 2.5 Exploratory testing and the value of QA -- 2.6 Tests, cost, and revenue -- Summary -- Part 2. …”

Tabla de Contenidos: “…The network is homogeneous -- CAP theorem and eventual consistency -- Sagas and compensating transactions -- Choreography-based sagas -- Orchestration-based sagas -- Making your system fault tolerant and available -- Calculating your system's availability -- Building fault-tolerant systems -- Redundancy -- Leader election -- Consensus -- Replication -- Master-slave replication -- Multi-master replication -- Queue-based load leveling -- Back pressure -- Detecting faults -- Sidecar design pattern -- Heartbeat mechanism -- Leaky bucket counter -- Minimizing the impact of faults -- Retrying the call -- Avoiding cascading failures -- Circuit breaker -- Bulkhead -- Geodes -- Integrating your system -- Pipes and filters pattern -- Competing consumers -- Transitioning from legacy systems -- Anti-corruption layer -- Strangler pattern -- Achieving performance at scale -- CQRS and event sourcing -- Command-query responsibility segregation -- Command-query separation -- Event sourcing -- Caching -- Updating caches -- Write-through approach -- Write-behind approach -- Cache-aside -- Deploying your system -- The sidecar pattern -- Deploying a service with tracing and a reverse proxy using Envoy -- Zero-downtime deployments -- Blue-green deployments -- Canary releases -- External configuration store -- Managing your APIs -- API gateways -- Summary -- Questions -- Further reading -- Chapter 5: Leveraging C++ Language Features -- Technical requirements -- Designing great APIs -- Leveraging RAII -- Specifying the interfaces of containers in C++ -- Using pointers in interfaces -- Specifying preconditions and postconditions -- Leveraging inline namespaces -- Leveraging std::optional -- Optional function parameters -- Optional function return values -- Optional class members -- Writing declarative code -- Showcasing a featured items gallery -- Introducing standard ranges…”

Tabla de Contenidos: “…Examples of Sequential Data -- Exercise 9.01: Training an ANN for Sequential Data - Nvidia Stock Prediction -- Recurrent Neural Networks -- RNN Architecture -- Vanishing Gradient Problem -- Long Short-Term Memory Network -- Exercise 9.02: Building an RNN with an LSTM Layer - Nvidia Stock Prediction -- Activity 9.01: Building an RNN with Multiple LSTM Layers to Predict Power Consumption -- Natural Language Processing -- Data Preprocessing -- Dataset Cleaning -- Generating a Sequence and Tokenization -- Padding Sequences -- Back Propagation Through Time (BPTT) -- Exercise 9.03: Building an RNN with an LSTM Layer for Natural Language Processing -- Activity 9.02: Building an RNN for Predicting Tweets' Sentiment -- Summary -- Chapter 10: Custom TensorFlow Components -- Introduction -- TensorFlow APIs -- Implementing Custom Loss Functions -- Building a Custom Loss Function with the Functional API -- Building a Custom Loss Function with the Subclassing API -- Exercise 10.01: Building a Custom Loss Function -- Implementing Custom Layers -- Introduction to ResNet Blocks -- Building Custom Layers with the Functional API -- Building Custom Layers with Subclassing -- Exercise 10.02: Building a Custom Layer -- Activity 10.01: Building a Model with Custom Layers and a Custom Loss Function -- Summary -- Chapter 11: Generative Models -- Introduction -- Text Generation -- Extending NLP Sequence Models to Generate Text -- Dataset Cleaning -- Generating a Sequence and Tokenization -- Generating a Sequence of n-gram Tokens -- Padding Sequences -- Exercise 11.01: Generating Text -- Generative Adversarial Networks -- The Generator Network -- The Discriminator Network -- The Adversarial Network -- Combining the Generative and Discriminative Models -- Generating Real Samples with Class Labels -- Creating Latent Points for the Generator…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction -- Technical requirements -- Generating Spring Boot Projects -- Opening the generated project with IntelliJ -- Opening the generated project with STS -- Getting started with Spring Boot -- Learning about Spring Boot -- Anatomy of a Spring Boot application -- Supporting the Spring Framework ecosystem in Spring Boot -- Changes since Spring Boot 1.x -- Registering a Spring Bean using ApplicationContextInitializer -- Configuration property binding -- New property binding API -- Property origin -- Tightened rules for governing relaxed property binding -- Environment variables with indices -- Direct binding of property type java.time.Duration in the ISO-8601 form -- Custom endpoints for Spring Boot Actuator using annotations -- Exposing a custom Spring Boot Actuator endpoint -- Extending a custom endpoint with a specialized implementation for the web -- Connecting to a custom endpoint using monitoring and management tools -- Custom metrics using Micrometer -- Custom health indicator -- Using the HTTP/2 protocol -- Securing applications with Spring Security -- The next milestone -- Migration -- Using the correct JDK and JVM -- Running on Java 9 -- Tackling JAXBException -- Using the correct AspectJ version -- Being aware of limitations on Apache Cassandra drivers -- Being aware of issues with the Maven Surefire Plugin -- Using the upgraded Spring Framework 5.0 -- Modified CORS support behavior -- Removed packages, classes, and methods -- Dropped support for frameworks -- Using the updated configuration properties -- Using the changed servlet-specific server properties -- Using the modified template engine extension handling -- Using the changed actuator configuration properties…”

Tabla de Contenidos: “…Understanding how data warehouses are different from databases -- Significance of ETL in data warehouse -- Learning about BigQuery -- Features of BigQuery -- Setting up and configuring a fully managed data warehouse with BigQuery -- Enabling BigQuery from the console -- Creating a BigQuery dataset -- Using an existing public dataset -- Creating a table in the dataset -- Performing simple analytics -- Summary of operational aspects and design considerations -- Summary -- Part 3: Semi-Structured, Unstructured Data, and NoSQL Design -- 6 -- Designing for Semi-Structured Data -- Semi-structured data -- Pros and cons of semi-structured data -- Use cases of semi-structured data -- NoSQL for semi-structured data -- Data structures supported by NoSQL databases -- Firestore and its features -- Setting up Firestore -- Collection -- Document -- Subcollection -- Security -- Client libraries and APIs -- Indexing -- Single-field index -- Composite index -- Collection group query -- Data model considerations -- Hierarchical format -- Denormalized format -- Easy querying with RunQuery API -- API endpoint and method -- The parent parameter -- JSON body format -- StructuredQuery -- The from clause -- The where clause -- Putting the pieces together -- Implementing RunQuery API programmatically -- Summary -- 7 -- Unstructured Data Management -- Use cases -- Processing unstructured data -- Storage options in Google Cloud -- Cloud Storage, classes, and features -- Unstructured data storage with BigQuery -- External sources -- External connections -- Unstructured data analytics with BigQuery -- Summary -- Part 4: DevOps and Databases -- 8 -- DevOps and Databases -- Upgrades, updates, and patching -- Security, privacy, and encryption -- Replication and availability -- Scalability -- Performance and throughput -- SLA, SLI, and SLO -- Data federation…”

Tabla de Contenidos: “…-- Resources -- Incorporating respond_to_missing to conform to metaprogramming best practices -- Resources -- Implementing metaprogramming with define_method -- Resources -- Summary -- Chapter 16: Ruby Web Frameworks -- Sinatra web framework development -- Introduction to the Ruby on Rails framework -- Summary -- Chapter 17: Working with APIs in Ruby -- How to work with APIs in Ruby -- How to use the httparty Ruby gem -- How to create a custom API connector in Ruby -- How to parse an API in Ruby -- Summary -- Chapter 18: Ruby Algorithms -- Introduction to sorting algorithms -- Bubble sort -- Quick sort -- Merge sort -- Implementing the bubble sort algorithm -- Bubble sort code example -- Implementing the quick sort algorithm -- Explanation of quick sort -- Quick sort code example -- Implementing the merge sort algorithm…”