Tabla de Contenidos: “…Preface -- Part 1: Essentials -- Chapter 1: Foundations -- Emotions -- Categorical -- Dimensional -- Sentiment -- Why emotion analysis is important -- Introduction to NLP -- Phrase structure grammar versus dependency grammar -- Rule-based parsers versus data-driven parsers -- Semantics (the study of meaning) -- Introduction to machine learning -- Technical requirements -- A sample project -- Logistic regression -- Support vector machines (SVMs) -- K-nearest neighbors (k-NN) -- Decision trees -- Random forest -- Neural networks -- Making predictions -- A sample text classification problem -- Summary -- References -- Part 2: Building and Using a Dataset -- Chapter 2: Building and Using a Dataset -- Ready-made data sources -- Creating your own dataset -- Data from PDF files -- Data from web scraping -- Data from RSS feeds -- Data from APIs -- Other data sources -- Transforming data -- Non-English datasets -- Evaluation -- Summary -- References -- Chapter 3: Labeling Data -- Why labeling must be high quality -- The labeling process -- Best practices -- Labeling the data -- Gold tweets -- The competency task -- The annotation task -- Buy or build? …”

Tabla de Contenidos: “…Enabling an Account-Level Password Policy -- Enabling MFA for the AWS Root Account -- Provisioning Admin Users with IAM -- The AWS Global Infrastructure -- The AWS Command-Line Interface -- Exploring the AWS CLI -- AWS CLIv2 Features -- AWS CLIv2 New Features (Wizards) -- AWS CLIv2 Command Summary for Amazon S3 -- AWS CLI v2 Command Summary for Amazon EC2 -- AWS CLIv2 Outputs -- AWS SDKs -- AWS Service Quotas -- The AWS Health API and Dashboards -- Pricing -- Summary -- Exam Essentials -- Hands-On Exercises -- Hands-On Exercise 1.1: Creating an Amazon VPC with a Public Subnet Using AWS CloudShell…”

Tabla de Contenidos: “…Networks for sequence data -- RNNs and LSTMs -- Building a better optimizer -- Gradient descent to ADAM -- Xavier initialization -- Summary -- References -- Chapter 4: Teaching Networks to Generate Digits -- The MNIST database -- Retrieving and loading the MNIST dataset in TensorFlow -- Restricted Boltzmann Machines: generating pixels with statistical mechanics -- Hopfield networks and energy equations for neural networks -- Modeling data with uncertainty with Restricted Boltzmann Machines -- Contrastive divergence: Approximating a gradient -- Stacking Restricted Boltzmann Machines to generate images: the Deep Belief Network -- Creating an RBM using the TensorFlow Keras layers API -- Creating a DBN with the Keras Model API -- Summary -- References -- Chapter 5: Painting Pictures with Neural Networks Using VAEs -- Creating separable encodings of images -- The variational objective -- The reparameterization trick -- Inverse Autoregressive Flow -- Importing CIFAR -- Creating the network from TensorFlow 2 -- Summary -- References -- Chapter 6: Image Generation with GANs -- The taxonomy of generative models -- Generative adversarial networks -- The generator model -- Training GANs -- Non-saturating generator cost -- Maximum likelihood game -- Vanilla GAN -- Improved GANs -- Deep Convolutional GAN -- Vector arithmetic -- Conditional GAN -- Wasserstein GAN -- Progressive GAN -- The overall method -- Progressive growth-smooth fade-in -- Minibatch standard deviation -- Equalized learning rate -- Pixelwise normalization -- TensorFlow Hub implementation -- Challenges -- Training instability -- Mode collapse -- Uninformative loss and evaluation metrics -- Summary -- References -- Chapter 7: Style Transfer with GANs -- Paired style transfer using pix2pix GAN -- The U-Net generator -- The Patch-GAN discriminator -- Loss -- Training pix2pix -- Use cases…”

Tabla de Contenidos: “…Ridge regression -- LASSO regression -- Data clustering -- The K-means algorithm -- K-means implementation with Spark ML -- Data dimensionality reduction -- Singular value decomposition -- Matrix theory and linear algebra overview -- The important properties of singular value decomposition -- SVD with Spark ML -- The principal component analysis method -- The PCA algorithm using SVD -- Implementing SVD with Spark ML -- Content-based recommendation systems -- Frequently asked questions -- Summary -- Chapter 4: Neural Network for Big Data -- Fundamentals of neural networks and artificial neural networks -- Perceptron and linear models -- Component notations of the neural network -- Mathematical representation of the simple perceptron model -- Activation functions -- Sigmoid function -- Tanh function -- ReLu -- Nonlinearities model -- Feed-forward neural networks -- Gradient descent and backpropagation -- Gradient descent pseudocode -- Backpropagation model -- Overfitting -- Recurrent neural networks -- The need for RNNs -- Structure of an RNN -- Training an RNN -- Frequently asked questions -- Summary -- Chapter 5: Deep Big Data Analytics -- Deep learning basics and the building blocks -- Gradient-based learning -- Backpropagation -- Non-linearities -- Dropout -- Building data preparation pipelines -- Practical approach to implementing neural net architectures -- Hyperparameter tuning -- Learning rate -- Number of training iterations -- Number of hidden units -- Number of epochs -- Experimenting with hyperparameters with Deeplearning4j -- Distributed computing -- Distributed deep learning -- DL4J and Spark -- API overview -- TensorFlow -- Keras -- Frequently asked questions -- Summary -- Chapter 6: Natural Language Processing -- Natural language processing basics -- Text preprocessing -- Removing stop words -- Stemming -- Porter stemming…”

Tabla de Contenidos: “…Refactoring to asynchronous communication -- Store Management state transfer -- Customer state transfer -- Order processing state transfer -- Payments state transfer -- Documenting the asynchronous API -- Adding a new order search module -- Building read models from multiple sources -- Creating a read model record -- Summary -- Chapter 8: Message Workflows -- Technical requirements -- What is a distributed transaction? …”

Tabla de Contenidos: “…Looking into the basics of the Apriori algorithm -- Implementing the Apriori algorithm -- Extracting association rules -- Evaluating the association rules -- Summary -- Chapter 5: Features and scikit-learn Transformers -- Feature extraction -- Representing reality in models -- Common feature patterns -- Creating good features -- Feature selection -- Selecting the best individual features -- Feature creation -- Principal Component Analysis -- Creating your own transformer -- The transformer API -- Implementing a Transformer -- Unit testing -- Putting it all together -- Summary -- Chapter 6: Social Media Insight using Naive Bayes -- Disambiguation -- Downloading data from a social network -- Loading and classifying the dataset -- Creating a replicable dataset from Twitter -- Text transformers -- Bag-of-words models -- n-gram features -- Other text features -- Naive Bayes -- Understanding Bayes' theorem -- Naive Bayes algorithm -- How it works -- Applying of Naive Bayes -- Extracting word counts -- Converting dictionaries to a matrix -- Putting it all together -- Evaluation using the F1-score -- Getting useful features from models -- Summary -- Chapter 7: Follow Recommendations Using Graph Mining -- Loading the dataset -- Classifying with an existing model -- Getting follower information from Twitter -- Building the network -- Creating a graph -- Creating a similarity graph -- Finding subgraphs -- Connected components -- Optimizing criteria -- Summary -- Chapter 8: Beating CAPTCHAs with Neural Networks -- Artificial neural networks -- An introduction to neural networks -- Creating the dataset -- Drawing basic CAPTCHAs -- Splitting the image into individual letters -- Creating a training dataset -- Training and classifying -- Back-propagation -- Predicting words -- Improving accuracy using a dictionary -- Ranking mechanisms for word similarity…”

Tabla de Contenidos: “…-- Asking questions to tell a story -- Introducing web scraping -- Introducing BeautifulSoup -- Loading and scraping data with BeautifulSoup -- Choosing between libraries, APIs, and source data -- Using NLTK for PoS tagging -- Using spaCy for PoS tagging and NER -- SpaCy PoS tagging -- SpaCy NER -- Converting entity lists into network data -- Converting network data into networks -- Doing a network visualization spot check -- Additional NLP and network considerations -- Data cleanup -- Comparing PoS tagging and NER -- Scraping considerations -- Summary -- Chapter 5: Even Easier Scraping! …”

Tabla de Contenidos: “…Intro -- Preface -- Title Page -- Copyright -- Dedication -- Contributors -- Table of Contents -- Part 1: Getting Started with a Solid Foundation -- Chapter 1: Understanding CLI Standards -- A brief introduction and history of the command line -- About the history -- Introducing the CLI -- The philosophy of CLI development -- Checklist for a successful CLI -- The guidelines -- Name -- Help and documentation -- Input -- Output -- Configuration -- Security -- Open source community -- Software lifespan and robustness -- Go for CLIs -- Summary -- Questions -- Answers -- Further reading -- Chapter 2: Structuring Go Code for CLI Applications -- Technical requirements -- Commonly used program layouts for robust applications -- Program layouts -- Common folders -- Determining use cases and requirements -- Use cases -- Requirements -- Disadvantages and benefits of use cases and requirements -- Use cases, diagrams, and requirements for a CLI -- Requirements for a metadata CLI -- Structuring an audio metadata CLI application -- Bounded context -- Language -- Entities and value objects -- Aggregation -- Service -- Events -- Repository -- Creating the structure -- Summary -- Questions -- Answers -- Further reading -- Chapter 3: Building an Audio Metadata CLI -- Technical requirements -- Defining the components -- cmd/ -- cmd/api/ -- cmd/cli/ -- cmd/cli/command -- extractors/ -- extractors/tags -- extractors/transcript -- internal/interfaces -- models/ -- services/metadata -- storage/ -- vendor/ -- Implementing use cases -- Uploading audio -- Requesting metadata -- Testing a CLI -- Manual testing -- Testing and mocking -- Summary -- Questions -- Answers -- Chapter 4: Popular Frameworks for Building CLIs -- Technical requirements -- Cobra - a library for building modern CLI applications -- Creating subcommands -- Global, local, and required flags…”

Tabla de Contenidos: “…Identity Repositories and Directory Services -- Single Sign-On (SSO) -- Federated Identity Management -- Federation Standards -- Multifactor Authentication -- Supplemental Security Devices -- Cloud Application Architecture -- Application Programming Interfaces -- Tenancy Separation -- Cryptography -- Sandboxing -- Application Virtualization -- Cloud Application Assurance and Validation -- Threat Modeling -- Quality of Service -- Software Security Testing -- Approved APIs -- Software Supply Chain (API) Management -- Securing Open Source Software -- Runtime Application Self-Protection (RASP) -- Secure Code Reviews -- OWASP Top 9 Coding Flaws -- Summary -- Exam Essentials -- Written Labs -- Review Questions -- Chapter 8 Operations Elements -- Physical/Logical Operations -- Facilities and Redundancy -- Virtualization Operations -- Storage Operations -- Physical and Logical Isolation -- Security Training and Awareness -- Training Program Categories -- Additional Training Insights -- Basic Operational Application Security -- Threat Modeling -- Application Testing Methods -- Summary -- Exam Essentials -- Written Labs -- Review Questions -- Chapter 9 Operations Management -- Monitoring, Capacity, and Maintenance -- Monitoring -- Maintenance -- Change and Configuration Management (CM) -- Baselines -- Deviations and Exceptions -- Roles and Process -- Business Continuity and Disaster Recovery (BC/DR) -- Primary Focus -- Continuity of Operations -- The BC/DR Plan -- The BC/DR Kit -- Relocation -- Power -- Testing -- Summary -- Exam Essentials -- Written Labs -- Review Questions -- Chapter 10 Legal and Compliance Part 1 -- Legal Requirements and Unique Risks in the Cloud Environment -- Legal Concepts -- U.S. …”

Tabla de Contenidos: “…Configuration server -- Service registry -- Edge services -- Microproxy -- API gateway -- Circuit breaker -- Reactive and Spring -- Publisher -- Subscriber -- Subscription -- Processor -- Project reactor -- Mono -- Flux -- Back pressure -- Reactive Spring Data -- Reactive REST services -- Summary -- Chapter 4: Client-Server Architectures -- Understanding client-server architectures -- Server -- Scaling -- Request -- Client -- Network -- Where to apply client-server architectures -- Implementing client-server architectures with Spring -- The server -- SOAP web services -- RESTful web services -- CORBA -- Sockets -- AMQP -- Implementing the server -- Banking-domain -- Banking-api -- Boundaries -- Domain -- Persistence -- Service -- Monitoring the server -- Testing -- Banking-client -- Authentication endpoint client -- Account balance endpoint client -- The clients -- JavaFX client -- Android client -- Thin client -- Summary -- Chapter 5: Model-View-Controller Architectures -- MVC -- The Model (M) -- The View (V) -- The Controller (C) -- Benefits of using MVC -- Common pitfalls -- Implementing applications using MVC -- Spring MVC -- Testing -- Test coverage -- UI frameworks -- Thymeleaf -- Securing an MVC application -- Basic authentication -- Implementing basic authentication -- Summary -- Chapter 6: Event-Driven Architectures -- Underlying concepts and key aspects -- Command -- Event -- Patterns of event-driven architectures -- Event notification -- Event-carried state transfer -- Improving application performance -- Reducing the load on the source application -- Increasing the availability of the system -- Event sourcing -- CQRS -- Complex domain models -- Distinct paths to query and persist information -- Independent scaling -- Summary -- Chapter 7: Pipe-and-Filter Architectures -- Introducing Pipe-and-Filter concepts -- Filters -- Pipes…”

Tabla de Contenidos: “…. -- Chapter 11: Networking -- Introduction -- Using NSURLSession API for network connections -- Getting ready -- How to do it... -- How it works... -- Parsing JSON data -- Getting ready -- How to do it... -- How it works... -- Social sharing -- Getting ready -- How to do it... -- How it works... -- Chapter 12: Persisting Data with Core Data -- Introduction -- Designing data models -- How to do it... -- How it works... -- Reading and inserting records to Core Data -- How to do it... -- How it works... -- Updating and deleting records from Core Data -- How to do it... -- How it works... -- Chapter 13: Notifications -- Introduction -- Setting up Push Notifications -- Getting ready -- How to do it... -- How it works... -- Setting up a local server to send Push Notifications -- Getting ready -- How to do it... -- How it works... -- Working with interactive Push Notifications -- How to do it... -- How it works... -- Working with local notifications -- How to do it... -- How it works... -- Chapter 14: App Search -- Introduction -- App indexing using NSUserActivity -- Getting ready -- How to do it... -- How it works... -- There's more... -- App indexing using Core Spotlight APIs -- How to do it... -- How it works... -- Chapter 15: Optimizing Performance -- Introduction -- Memory management with ARC -- Getting ready -- Retain cycles -- Working with closures -- How to do it... -- How it works... -- Measuring performance -- How to do it... -- How it works... -- Measuring energy impact -- How to do it... -- How it works... -- On-demand resources -- Getting ready -- How to do it... -- How it works... -- Index…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: A Solution Approach -- Evolution of microservices -- Monolithic architecture overview -- Limitation of monolithic architecture versus its solution with microservices -- Traditional monolithic design -- Monolithic design with services -- Services design -- One dimension scalability -- Release rollback in case of failure -- Problems in adopting new technologies -- Alignment with Agile practices -- Ease of development - could be done better -- Microservices build pipeline -- Deployment using a container such as Docker -- Containers -- Docker -- Docker's architecture -- Deployment -- Summary -- Chapter 2: Setting Up the Development Environment -- NetBeans IDE installation and setup -- Spring Boot configuration -- Spring Boot overview -- Adding Spring Boot to our main project -- Sample REST program -- Writing the REST controller class -- The @RestController annotation -- The @RequestMapping annotation -- The @RequestParam annotation -- The @PathVariable annotation -- Making a sample REST application executable -- Adding a Jetty-embedded server -- Setting up the application build -- Running the Maven tool -- Executing with the Java command -- REST API testing using the Postman Chrome extension -- Some more positive test scenarios -- Negative test scenarios -- Summary -- Chapter 3: Domain-Driven Design -- Domain-driven design fundamentals -- Fundamentals of DDD -- Ubiquitous language -- Multilayered architecture -- Presentation layer -- Application layer -- Domain layer -- Infrastructure layer -- Artifacts of domain-driven design -- Entities -- Value objects -- FAQs -- Services -- Aggregates -- Repository -- Factory -- Modules -- Strategic design and principles -- Bounded context…”

Tabla de Contenidos: “…-- Firebase gotchas -- Setting up -- Hiding our API key -- Deploying Firebase -- Authentication with Firebase -- What is a promise? …”

Tabla de Contenidos: “…Bubble charts -- A single line chart -- A multiple line chart -- A bar chart -- A scatter plot -- A histogram -- A bubble chart -- GUI data visualizations -- Tips and tricks with Databricks notebooks -- Magic -- Markdown -- Other languages -- Terminal -- Filesystem -- Running other notebooks -- Widgets -- Databricks SQL analytics -- Accessing SQL analytics -- SQL Warehouses -- SQL editors -- Queries -- Dashboards -- Alerts -- Query history -- Connecting BI tools -- Practical lab -- Loading problem data -- Problem 1 -- Solution -- Problem 2 -- Solution -- Summary -- Chapter 8: Integrating Continous Integration into Your Workflow -- Technical requirements -- Setting up your environment -- Databricks -- Databricks CLI -- The DBX CLI -- Docker -- Git -- GitHub -- Pre-commit -- Terraform -- Docker -- Install Jenkins, container setup, and compose -- CI tooling -- Git and GitHub -- Pre-commit -- Python wheels and packages -- Anatomy of a package -- DBX -- Important commands -- Testing code -- Terraform - IaC -- IaC -- The CLI -- HCL -- Jenkins -- Jenkinsfile -- Practical lab -- Problem 1 -- Problem 2 -- Summary -- Chapter 9: Orchestrating Your Data Workflows -- Technical requirements -- Setting up your environment -- Databricks -- Databricks CLI -- The DBX CLI -- Orchestrating data workloads -- Making life easier with Autoloader -- Reading -- Writing -- Two modes -- Useful options -- Databricks Workflows -- Terraform -- Failed runs -- REST APIs -- The Databricks API -- Python code -- Logging -- Practical lab -- Solution -- Lambda code -- Notebook code -- Summary -- Part 4: Hands-on Project -- Chapter 10: Data Governance -- Technical requirements -- Setting up your environment -- Python, AWS, and Databricks -- The Databricks CLI -- What is data governance? …”

Tabla de Contenidos: “…-- Data analysts -- Data engineers -- Data scientists -- Machine learning engineers -- Summary -- Sample questions -- Chapter 3: Spark Architecture and Transformations -- Spark architecture -- Execution hierarchy -- Spark components -- Spark driver -- SparkSession -- Cluster manager -- Spark executors -- Partitioning in Spark -- Deployment modes -- RDDs -- Lazy computation -- Transformations -- Summary -- Sample questions -- Answers -- Part 3: Spark Operations -- Chapter 4: Spark DataFrames and their Operations -- Getting Started in PySpark -- Installing Spark -- Creating a Spark session -- Dataset API -- DataFrame API -- Creating DataFrame operations -- Using a list of rows -- Using a list of rows with schema -- Using Pandas DataFrames -- Using tuples -- How to view the DataFrames -- Viewing DataFrames -- Viewing top n rows -- Viewing DataFrame schema -- Viewing data vertically…”

Tabla de Contenidos: “…Integration with Azure Log Analytics -- Monitoring Azure Analysis Services (AAS) and PBIE -- Azure metrics for AAS -- Summary -- Chapter 5: Optimization for Storage Modes -- DirectQuery and relationships -- Optimizing DirectQuery relationships -- General DirectQuery guidance -- Power BI Desktop settings -- Optimizing external data sources -- Direct Lake semantic models -- Using Delta tables in Fabric -- On-demand loading -- Summary -- Chapter 6: Third-Party Utilities -- Technical requirements -- Exploring Power BI Helper -- Identifying large column dictionaries -- Identifying unused columns -- Identifying bidirectional and inactive relationships -- Identifying measure dependencies -- Working with Tabular Editor -- Using Tabular Editor's Best Practice Analyzer -- Tuning with DAX Studio and VertiPaq Analyser -- Analyzing model size with VertiPaq Analyzer -- Performance tuning the data model and DAX -- Summary -- Chapter 7: Performance Governance Framework -- Establishing a repeatable improvement process -- The performance management cycle -- Knowledge sharing and awareness -- Helping self-service users -- Leveraging professional developers -- Applying steps to different usage scenarios -- Using performance metrics reports -- Usage metrics report -- Fabric Capacity Metrics -- Calling REST APIs for monitoring data -- Custom connectors -- Storing REST API data -- Other resources -- Summary -- Part 3: Fetching, Transforming, and Visualizing Data -- Chapter 8: Loading, Transforming, and Refreshing Data -- Technical requirements -- General data transformation guidance -- Data refresh, parallelism, and resource usage -- Improving the development experience -- Folding and joining queries -- Query folding -- Joining queries -- Refreshing incrementally -- Using Query Diagnostics -- Collecting Power Query diagnostics -- Analyzing the Power Query logs…”

Tabla de Contenidos: “…Chapter 9: OCI Command-Line and Application Programming Interfaces -- Getting Started -- Command-Line Interface (CLI) -- Install the CLI -- Capabilities -- Example Uses -- List Backups for a DB System -- Stop/Start a DB System -- Create a DB System -- For More Information -- OCI APIs -- MDS API -- Example Uses -- Install the Python SDK -- Getting Started -- Listing the MySQL Shapes -- Stop/Start DB System -- Creating a DB System -- Delete a DB System -- Summary -- Chapter 10: Migrating to MDS -- Getting Help While Using OCI and MDS -- Communication with Oracle -- Documentation -- Troubleshooting -- Examine Your DB System Needs -- Shapes -- Data Storage -- Networking -- Planning Your DB Systems -- Security Best Practices -- Summary -- Index…”

Tabla de Contenidos: “…Java Message Service -- 10.1 Messaging concepts -- 10.1.1 Loose coupling -- 10.1.2 Messaging types -- 10.1.3 Destinations -- 10.1.4 Messaging models -- 10.1.5 Messaging patterns -- 10.2 Java Message Service API -- 10.2.1 JMS API history -- 10.2.2 JMS providers -- 10.2.3 JMS domains -- 10.2.4 JMS administered objects -- 10.2.5 JMS and JNDI -- 10.2.6 JMS connections -- 10.2.7 JMS sessions -- 10.2.8 JMS messages -- 10.2.9 JMS message producers -- 10.2.10 JMS message consumers -- 10.2.11 JMS exception handling -- 10.2.12 Application Server facilities -- 10.2.13 JMS and J2EE -- 10.3 Messaging in the J2EE Connector Architecture -- 10.3.1 Message endpoints -- 10.3.2 MessageEndpointFactory -- 10.3.3 Resource adapters -- 10.3.4 JMS ActivationSpec JavaBean -- 10.3.5 Message endpoint deployment -- 10.3.6 Message endpoint activation -- 10.3.7 Message delivery -- 10.3.8 Administered objects -- 10.4 Message Driven Beans -- 10.4.1 Message Driven Bean types -- 10.4.2 Client view of a Message Driven Bean -- 10.4.3 Message Driven Bean implementation -- 10.4.4 Message Driven Bean life cycle -- 10.4.5 Message Driven Beans and transactions -- 10.4.6 Message Driven Bean activation configuration properties -- 10.4.7 Associating a Message Driven Bean with a destination…”

Tabla de Contenidos: “…-- 6.3 Fazit -- Kapitel 7: Dekomposition -- 7.1 Code Rot -- 7.1.1 Schwellenwerte -- 7.1.2 Zyklomatische Komplexität -- 7.1.3 Die 80/24-Regel -- 7.2 Verständlicher Code -- 7.2.1 Hexagonale Blumen -- 7.2.2 Kohäsion -- 7.2.3 Feature-Neid -- 7.2.4 Beim Verschieben verlorengegangen -- 7.2.5 Parsen, nicht überprüfen -- 7.2.6 Fraktale Architektur -- 7.2.7 Variablen zählen -- 7.3 Fazit -- Kapitel 8: API-Design -- 8.1 Prinzipien des API-Designs -- 8.1.1 Affordanz -- 8.1.2 Poka Yoke -- 8.1.3 Schreiben Sie für die Leser -- 8.1.4 Ziehen Sie sinnvoll benannten Code Kommentaren vor -- 8.1.5 Namen ausixen…”

Tabla de Contenidos: “…13.4 Routing HTTP requests to controllers and methods -- Exercises -- Summary -- 14 JSON serialization/ deserialization and custom model binding -- 14.1 Implementing the BookingController class -- 14.1.1 Introduction to data deserialization -- 14.1.2 Using the [FromBody] attribute to deserialize incoming HTTP data -- 14.1.3 Using a custom model binder and method attribute for model binding -- 14.1.4 Implementing the CreateBooking endpoint method logic -- 14.2 Acceptance testing and Swagger middleware -- 14.2.1 Manual acceptance testing with an OpenAPI specification -- 14.2.2 Generating an OpenAPI specification at runtime -- 14.3 The end of the road -- Summary -- appendix A Exercise answers -- Chapter 2: .NET and how it compiles -- Chapter 4: Manage your unmanaged resources! …”