Text Data Extraction Patterns FAQs

Question 1

What is an 'atom' in this parsing context?

Accepted Answer

An atom is a utility that attempts to parse a substring into an integer or float first, and if both fail, it treats the result as a stripped string.

Question 2

Can this skill handle negative numbers and decimals?

Accepted Answer

Yes, the provided patterns include support for negative signs and floating-point decimals, converting them to appropriate numeric types automatically.

Question 3

When should I use this instead of a standard JSON or CSV parser?

Accepted Answer

Use this skill when your input is 'messy' text where data is embedded in natural language or non-standard formats that don't follow strict JSON or CSV structures.

Question 4

What are Norvig patterns in the context of this skill?

Accepted Answer

They are concise, efficient Python utilities popularized by Peter Norvig for common programming tasks, specifically optimized for extracting data from competition-style input strings.

Question 5

Does it support complex grammars like nested parentheses?

Accepted Answer

No, this skill is designed for flat pattern extraction. For complex recursive grammars, a formal parser generator like Lark or ANTLR is recommended.

Text Data Extraction Patterns

Key Features

Use Cases

Text Data Extraction Patterns

Key Features

Use Cases