Extract JSON-like numbers
Parse a simplified JSON-like string without using the json module and sum all numbers found in it.
Base64 Encode/Decode
Implement two functions to encode and decode Base64 strings using the standard alphabet and padding.
Protocol definition
Parse a simple wire protocol string into a structured dictionary.
Config Parser Reader
Parse a simple INI-style configuration text into a nested dictionary.
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.
Parse email header
Write a function that parses a raw email header string and returns sender, recipient, and subject.
Update Row by ID
Given a list of CSV rows and target ID, replace the first matching row's value.
Parse CSV Row
Implement a robust function that parses a single CSV line into a list of fields, handling double quotes and escaped quotes.
Parse Apache log line
Write a function that parses a single Apache access log line into a dictionary with IP, timestamp, request, status, and size.
Parse table rows
Implement a function that converts a simple text table into a list of dictionaries.
Showing 1–12 of 12 challenges · Data Formats & Parsing
Data Formats & Parsing — Python coding challenges
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