Formatting structured data in Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is structured data in programming?

Structured data is organized information that follows a specific format, like lists, dictionaries, or tables, making it easy to access and manipulate.

beginner

Which Python module helps format structured data into readable text or JSON?

The json module formats data into JSON strings, and the pprint module helps print data structures in a readable way.

intermediate

How does the json.dumps() function help with formatting?

json.dumps() converts Python data structures into a JSON string, which can be formatted with indentation for readability.

beginner

What does the indent parameter do in json.dumps()?

The indent parameter adds spaces to format the JSON string with new lines and indentation, making it easier to read.

intermediate

Why use pprint.pprint() instead of print() for complex data?

pprint.pprint() prints complex data structures like nested dictionaries in a neat, indented way, improving readability compared to print().

Which Python module is best for converting data to JSON format?

A math

B os

C json

D random

The json module is designed to convert Python data structures to JSON format.

What does the indent parameter in json.dumps() control?

A Number of spaces for indentation

B Number of items to include

C Data type conversion

D Sorting keys alphabetically

The indent parameter sets how many spaces to use for each indentation level in the output.

Which function prints data structures in a readable, formatted way?

A print()

B pprint.pprint()

C input()

D len()

pprint.pprint() formats complex data structures for easier reading.

What type of data is considered structured data?

A Audio files

B Random text

C Images

D Lists and dictionaries

Lists and dictionaries organize data in a clear format, making them structured.

Which method converts Python objects into a JSON string?

A json.dumps()

B json.load()

C pprint.pprint()

D str()

json.dumps() converts Python objects into JSON formatted strings.

Explain how to format a Python dictionary into a readable JSON string.

Think about how to make the output easy to read with spaces and new lines.

Describe the difference between using print() and pprint.pprint() for structured data.

Consider how complex data looks when printed simply versus formatted.