Extract JSON-like numbers
Parse a simplified JSON-like string without using the json module and sum all numbers found in it.
Generate CSV row
Implement a function that converts a list of values into a single CSV row with correct quoting and escaping.
Parse YAML-like dict
Parse a simple YAML-like text with indentation into a nested dictionary.
Flatten nested JSON
Write a function that flattens nested JSON objects into a flat dictionary with dot-separated keys, handling lists and empty objects.
Unflatten JSON dict
Given a flat dictionary with keys like 'a.b.c', reconstruct the nested dictionary where each dotted segment becomes a nested level.
Encode Base64 String
Write a function that encodes a UTF-8 string into a base64 string without using the base64 module.
Serialize dict to TOML-like
Convert nested Python dicts into a simplified TOML-like string with sorted keys, type-aware formatting, and flat table sections.
Showing 7 challenges · Data Formats & Parsing
Data Formats & Parsing — Python coding challenges
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This page lists data formats & parsing challenges — real Python problems you solve in the browser IDE with instant test feedback. Each challenge includes a clear brief, starter code, and automated checks.
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Challenges test what you can build under constraints. For guided teaching, use our Python tutorials. For quick checks, try quizzes or copy snippets from code samples.