Guides
A collection of concepts and practical tips worth knowing when working with data formats.
A set of conceptual articles to help with choosing and converting formats.
JSON and YAML: When to Use Which
Compares the differences between JSON and YAML and the situations each one suits.
XML and JSON: What's the Difference
Compares XML and JSON through the trade-off between expressiveness and conciseness.
Common Pitfalls When Working with CSV
Covers the most common causes of CSV data getting corrupted, such as delimiters, quotes, and encoding.
Data Serialization Basics
Explains what serialization and deserialization are and how format conversion works.
Common YAML Mistakes and Tips
A collection of common YAML problems, such as indentation and type inference, and how to solve them.
Choosing a Configuration File Format
Offers criteria for choosing among JSON, YAML, and XML for a project's configuration file.