Results for “Structured data & serialization”
Small, practical examples. Search by task or narrow things down below.
Represent a record with a dataclass
Python: Generate initialization and convert a typed record to a dictionary.
Python✓ Tested
Handle malformed JSON input
Python: Catch JSONDecodeError without hiding unrelated programming errors.
Python✓ Tested
Pack and unpack a network-order integer
Python: Use an explicit byte order so the binary format is independent of the host architecture.
Python✓ Tested
Parse quoted CSV from an in-memory string
Python: Use StringIO with csv.reader so quoted commas are handled correctly.
Python✓ Tested
Produce compact deterministic JSON
Python: Sort dictionary keys and remove separator whitespace for a reproducible representation.
Python✓ Tested
Read a small INI configuration
Python: Use ConfigParser typed accessors for configuration values stored as text.
Python✓ Tested
Read a tab-separated table
Python: Select a delimiter explicitly rather than splitting lines manually.
Python✓ Tested
Read elements from trusted XML
Python: Use ElementTree to inspect a small trusted XML document.
Python✓ Tested
Read one JSON document per line
Python: Parse nonempty JSON Lines records independently instead of loading a JSON array.
Python✓ Tested
Return a small immutable named record
Python: Use NamedTuple when callers need both tuple behavior and named fields.
Python✓ Tested
Copy nested structured data independently
JavaScript: structuredClone creates an independent copy of supported structured values.
JavaScript✓ Tested
Copy nested structured data independently
TypeScript: structuredClone creates an independent copy of supported structured values.
TypeScript✓ Tested