In-depth guides on JSON, XML, YAML, Base64, URL encoding, and other data formats. We cover the concepts, edge cases, and practical patterns that matter in real-world development work — with code examples in multiple languages.
Learn the exact mapping rules, edge cases, and real-world patterns for converting XML to JSON — including attributes, arrays, CDATA, namespaces, and type coercion. Includes code samples in JavaScript, Python, and Java.
Everything you need to know about going from JSON back to XML — including root element requirements, repeated key arrays, attribute round-tripping, and handling null values in XML.
A deep comparison of XML and JSON covering syntax verbosity, schema support, tooling, performance, and use cases. Helps you decide the right format for your project.
From syntax rules and well-formedness to DTD, XSD schemas, XPath, and XSLT — a comprehensive introduction to XML for developers entering the world of legacy enterprise systems.
Master JSON from first principles — covering syntax, all six data types, nested structures, parsing in JavaScript/Python/Java, JSON Schema validation, security pitfalls, and performance for large files.