“…How to work with data formatted as XML or JSON, download images, and post information to a custom web server…”

Tabla de Contenidos: “…Protecting sources and yourself -- Acquiring datasets -- The command line interface -- Exploring datasets in the terminal -- Docker, Aleph, and making datasets searchable -- Reading other people's email -- An introduction to Python -- Working with data in Python -- BlueLeaks, Black Lives Matter, and the CSV file format -- BlueLeaks Explorer -- Parler, the January 6 insurrection, and the JSON file format -- Epik fail, extremism research, and SQL Databases -- Pandemic profiteers and COVID-19 disinformation -- Neo-Nazis and their chat rooms…”

Tabla de Contenidos: “…Pipes Example""; ""Finding a Feed""; ""Back To Our Show, Already in Progress""; ""The Debugger""; ""Pipes Plumbing""; ""Tips, Tricks, and Quirks""; ""Using your Yahoo! Pipes""; ""What Is JSON?""; ""Listing: The YpipesJSON object""; ""A Word About the JSON Data""; ""Using the YPipesJSON Object""; ""Adding a Yahoo! …”

Tabla de Contenidos: “…""Using Internal Storage for JSON""…”

Tabla de Contenidos: “…; IoT reference model; IoT platforms; IoT verticals; Big data and IoT; Infusion of AI -- data science in IoT; Cross-industry standard process for data mining; AI platforms and IoT platforms; Tools used in this book; TensorFlow; Keras; Datasets; The combined cycle power plant dataset; Wine quality dataset; Air quality data; Summary; Chapter 2: Data Access and Distributed Processing for IoT; TXT format Using TXT files in PythonCSV format; Working with CSV files with the csv module; Working with CSV files with the pandas module; Working with CSV files with the NumPy module; XLSX format; Using OpenPyXl for XLSX files; Using pandas with XLSX files; Working with the JSON format; Using JSON files with the JSON module; JSON files with the pandas module; HDF5 format; Using HDF5 with PyTables; Using HDF5 with pandas; Using HDF5 with h5py; SQL data; The SQLite database engine; The MySQL database engine; NoSQL data; HDFS; Using hdfs3 with HDFS; Using PyArrow's filesystem interface for HDFS; Summary; Chapter 3: Machine Learning for IoTML and IoT; Learning paradigms; Prediction using linear regression; Electrical power output prediction using regression; Logistic regression for classification; Cross-entropy loss function; Classifying wine using logistic regressor; Classification using support vector machines; Maximum margin hyperplane; Kernel trick; Classifying wine using SVM; Naive Bayes; Gaussian Naive Bayes for wine quality; Decision trees; Decision trees in scikit; Decision trees in action; Ensemble learning; Voting classifier; Bagging and pasting; Improving your model -- tips and tricksFeature scaling to resolve uneven data scale; Overfitting; Regularization; Cross-validation; No Free Lunch theorem; Hyperparameter tuning and grid search; Summary; Chapter 4: Deep Learning for IoT; Deep learning 101; Deep learning-why now?…”

Tabla de Contenidos: “…=; Labels; Unreachable Code; Confusing Pluses and Minuses; ++ and --; Bitwise Operators; eval Is Evil; void; Regular Expressions; Constructors and new; Not Looked For; HTML; JSON; Report; D. Syntax Diagrams; E. JSON; Using JSON Securely; A JSON Parser…”

Tabla de Contenidos: “…1. Introduction to JSON -- 2. Connectivity -- 3. Lazy Loading Images -- 4. …”

Tabla de Contenidos: “…-- Ajax basics -- Ajax patterns -- XML, XPath, and XSLT -- Syndication with RSS/Atom -- Web services -- JSON -- Web site widgets -- AjaxMail -- Ajax framework…”

Tabla de Contenidos: “…HTTP -- HTTP verbs -- Headers -- Cookies -- JSON -- XML -- RPC and SOAP services -- REST -- Debugging web services -- Making service design decision -- Building a robust service -- Error handling in APIs -- Documentation -- A guide to common status codes -- Common HTTP headers…”

Tabla de Contenidos: “…The goto Statement -- Functions -- Defining a Function -- Doing Function Calls in Go -- Return More than One Value from Functions -- Passing Arguments to Functions -- Call by Value Example -- Call by Reference Example -- Methods -- Write/Read Text Files -- Write Text Files -- Read Text Files -- HTTP Package -- JSON -- Summary -- Chapter 3: Go Recipes: Programming Fundamentals and Basics -- Numbers and Slices in Go -- Working with Maps in Go -- Go's Catch of Error Handling -- Defer and Panic Recovery -- Hands-on Challenge -- Solution -- Summary -- Chapter 4: Working with Text -- Go String Formatting and Working with Unicode -- Case-Insensitive Comparisons in Go -- Regular Expressions and Reading Text Files with Go -- Hands-on Challenge -- Solution -- Summary -- Chapter 5: Structs, Methods, and Interfaces -- Go Structs, Methods, and Interfaces -- Structs -- Declaring Structs in Go -- Creating Instances of a Struct Type -- Recipe to See Structs in Action -- Methods -- Declaring Methods in Go -- Recipe to See Methods in Action -- Interfaces -- Declaring Interfaces in Go -- Implementing Interfaces in Go -- Recipe to See Interfaces in Action -- Empty Interface and Working with IOTA in Go -- JSON Encoding/Decoding -- Generics -- Hands-on Challenge -- Solution -- Summary -- Chapter 6: Working with JSON -- JSON Package -- Unmarshalling JSON with GO -- Parsing Complex JSON with Go -- Marshalling JSON with Go -- Handling Missing Values and Zeros in JSON -- Using mapstructure to Handle Arbitrary JSON -- Summary -- Chapter 7: HTTP -- Go and HTTP Calls -- Authentication and Writing an HTTP Server in Go -- REST with gorilla/mux -- Hands-on Challenge -- Solution -- Summary -- Chapter 8: Concurrency -- Understanding Goroutines -- Converting Sequential Code into Concurrent Code -- Using Goroutines with Shared Resources…”

“…Groves, an experienced C#, ASP.NET, JavaScript, and PHP developer, demonstrates how SQL can be applied to NoSQL databases and what additional features are needed to deal with JSON documents…”

“…You will see how to take user inputs, convert them into JSON data, and send that data to a server. Understand how to retrieve XML, JSON, and text data from a server. …”

“…This fully updated third edition covers key changes in PostGIS 3.1 and PostgreSQL 13, including parallelization support, partitioned tables, and new JSON functions that help in creating web mapping applications. …”

“…It covers JavaServer Faces, Java Servlets, the Java API for WebSocket, the Java API for JSON Processing (JSON-P), internationalization and localization, Bean Validation, Contexts and Dependency Injection for Java EE (CDI), and web services (JAX-WS and JAX-RS)…”

“…Legendary programming instructor Ellie Quigley has thoroughly updated her classic book to deliver the skills and information today’s JavaScript users need most–including up-to-the-minute coverage of JavaScript programming constructs, CSS, Ajax, JSON, and the latest JavaScript libraries and best practices. …”

“…We will cover important concepts such as authentication, authorization, the importance of securing RESTful APIs, JWT (Json Web Token), various components and terminology associated with JWT, Workflow, and a diagrammatic use case of using JWT. …”

“…Advanced sections cover navigation, data persistence with SQLite, and handling JSON from APIs, rounding out your skills to build complex, scalable applications. …”

Tabla de Contenidos: “…Introduction to PHP -- Language basics -- Functions -- Strings -- Arrays -- Objects -- Dates and times -- Web techniques -- Databases -- Graphics -- PDF -- XML -- JSON -- Security -- Application techniques -- Web services -- Debugging PHP -- PHP on disparate platforms…”

Tabla de Contenidos: “…Setup -- JavaScript for Ajax -- A simple Ajax Servlet -- XML and JSON for Ajax -- Getting useful data -- Ajax libraries and toolkits -- Ajax tags -- Ajax on struts -- JavaServer faces and Ajax -- Google web toolkit…”

Tabla de Contenidos: “…Common development tasks -- Chapter 5. Handling JSON -- Chapter 6. Handling files -- Chapter 7. Server-side templating -- Chapter 8. …”